Databases / Data management Books
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Forschungsdesigns der Wirtschaftsinformatik:
Book SynopsisIn diesem Buch werden Grundlagen zur empirischen Sozialforschung erläutert und Empfehlungen zur Findung eines Themas für die Abschlussarbeit gegeben. Anschließend werden vier Forschungsdesigns vorgestellt, ergänzt durch Tipps für die Kooperation mit einem Praxispartner. Empfehlungen zum Umgang mit Themen wie Plagiat und Zitierweise runden das Essential ab. Die Inhalte sollen Studierenden aus dem Bereich der Betriebswirtschaft und der Wirtschaftsinformatik als Hilfestellung bei der Konzeption und Erstellung einer Abschlussarbeit dienen.Table of ContentsEinleitung.- Grundlagen der empirischen Sozialforschung.- Findung und Eignung eines Themas.- Forschungsdesigns der Wirtschaftsinformatik.- Abschlussarbeit mit Praxispartner.- Fazit.
£11.77
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Big Data und Data Science in der strategischen
Book SynopsisBig Data und Data Science sind Trends, die sowohl in der Wissenschaft als auch in Unternehmen auf großes Interesse stoßen. Dieses essential zeigt einen konzeptionellen Rahmen auf, um die Grundlagen von Big Data und Data Science besser zu verstehen. Einkaufsentscheider und Einkaufsorganisationen können dann aufbauend auf der Beschaffungsdigitalisierung sowie weiteren Datenquellen ein Big Data Warehouse konzipieren, welches die Voraussetzung schafft, um wichtige Beschaffungsprobleme zu lösen. Analytische Methoden werden genauso beleuchtet, wie neue Fähigkeiten in bereichsübergreifenden Teams. Abschließend werden 30 konkrete Anwendungsfälle von Big Data für die strategische Beschaffung vorgestellt.Table of ContentsEinleitung.- Die Bedeutung von Big Data in der Beschaffung.- Beschaffungsdigitalisierung und weitere Quellen als Datengrundlage.- Überblick über Data Science für die Beschaffung.- Einfluss von Big Data auf die Beschaffungsteams.- Anwendungsbeispiele von Big Data in der Beschaffung.- Ausblick
£11.77
Springer Vieweg Big Data Analytics
Book Synopsis
£52.24
Springer Fachmedien Wiesbaden Blockchain-Implementierung in eine Automotive
Book SynopsisIn der Automotive-Branche ist eine schnell agierende und perfekt abgestimmte Supply Chain ein entscheidender Vorteil gegenüber dem Wettbewerb. Durch die Implementierung der Blockchain-Technologie lässt sich die Geschwindigkeits- und Transparenzerhöhung gewährleisten. Dieses essentiell simuliert eine Supply Chain an verschiedenen Instanzen, in der die Blockchain exemplarisch genutzt wird und dadurch die Supply-Chain-Abläufe automatisiert werden.
£11.77
Springer Fachmedien Wiesbaden Angewandte Data Science: Projekte Methoden
Book SynopsisDie Anwendungen der Disziplin Data Science erweitern und wandeln sich stetig. In diesem Buch geben Insider aus Praxis, Wissenschaft und Lehre detailliert die Ergebnisse ihrer Data-Science-Projekte, Methodenwissen sowie Knowhow zu Vorgehensweisen und Prozessmodellen an den Leser weiter. Dabei wird ein weit gespannter Querschnitt an konkreten Anwendungen beschrieben, erklärt und illustriert: von der Nutzung generativer KI-Systeme über quantitative Textanalyse, Predictive Policing, Erklärbarkeit von Machine-Learning-Modellen, experimentelle Datenanalyse in der Spektroskopie bis hin zu Datenvisualisierung, Strukturgleichungsmodellen und Varianzanalyse.Das Buch richtet sich an jeden, der sowohl am konkreten Einsatz von Datenwissenschaft, Statistik, Maschinellem Lernen und Künstlicher Intelligenz als auch am zugehörigen theoretischen Hintergrund interessiert ist. Praktikern, Studierenden und Lehrenden dürfte es von besonderem Nutzen sein: eine Vielzahl an Abbildungen, Diagrammen und Illustrationen ergänzen die reichhaltigen Textinformationen; Links zu Webseiten und Webapplikationen verweisen auf online verfügbare weitere Informationsquellen und Data-Science-Werkzeuge.Table of ContentsEinflüsse der Corona-Pandemie auf die deutsche Presse-Sprache.- Predictive Policing.- Am Anfang war der Prompt.- Erklärbarkeit als Schlüssel für den verantwortungsvollen Umgang mit KI. - Strukturgleichungsmodelle versus Varianzanalyse.- Was ist schon normal in diesen Zeiten? - Sankey-Diagramm reloaded.- Jenseits der Algorithmen.- A Scalable Architecture for Smart Genomic Data Analysis in Medical Laboratories.- Die Sieben V der Daten.– Scope Creep, GUI, Skalierung.
£999.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Customer-Data-Plattformen: Grundlagen, Systeme,
Book SynopsisDieses Buch beantwortet grundlegende Fragen zu CDP, gibt einen Überblick über aktuelle CDPs und identifiziert deren Vorteile und Schwachstellen. Zudem setzt es sich mit unterschiedlichen Entwicklungen im Marketingumfeld auseinander, die starke Treiber für den Einsatz einer Customer-Data-Plattform (CDP) sind. Marketing-Entscheider sowie Verantwortliche aus den Bereichen Online-Marketing und E-Commerce erhalten Tipps, wie die passende CDP ausgewählt und implementiert werden kann. Zudem ist dieses Buch interessant für alle Entscheider, die sich damit beschäftigen, wie sie ihren Konsumenten ein besseres Kauferlebnis bieten können. Dabei geht Jonas Rashedi nicht nur auf die technischen Aspekte ein, sondern beleuchtet auch die organisationsbezogenen Voraussetzungen für die erfolgreiche Implementierung und Verwendung einer CDP. Praxisbeispiele veranschaulichen die Inhalte.This book offers an excellent introduction to the CDP category. I recommend it for anyone trying to understand what CDPs do, whether a CDP is right for their company, and how to select the right CDP.David M. Raab, Gründer und CEO des CDP InstitutesTable of ContentsEntwicklungen im Marketingumfeld als Treiber für den Einsatz von CDPs.- Was ist eine CDP und was ist es nicht?.- Funktion, Aufbau und Arten von CDPs.- Aktuelle CDPs und deren Schwachstellen.- Auswahl und Implementierung eines CDP.- CDP – Wie geht es weiter?.
£28.49
Springer Fachmedien Wiesbaden Innentäter-Screenings durch Anomalieerkennung:
Book SynopsisAngriffe aus den eigenen Reihen durch sogenannte Innentäter sind für Unternehmen nur schwer zu erkennen. Unter Innentätern versteht man Personen, die in Unternehmen oder Organisationen vorsätzlich dolose Handlungen vornehmen. Ihnen fällt es aufgrund ihres Wissens über Interna leichter, etablierte Schutzmaßnahmen zu überwinden. Unternehmensinhaber trifft im Rahmen des mehrdeutigen Begriffs unternehmerischer Compliance auch eine Pflicht, in ihrem Betrieb für regelgetreues Verhalten der Beschäftigten zu sorgen. Es besteht insofern ein Spannungsverhältnis zwischen dem Recht auf informationelle Selbstbestimmung des Beschäftigten, welches durch das Datenschutzrecht geschützt wird, und der Pflicht des Arbeitgebers, in seinem Unternehmen für rechtskonformes Verhalten zu sorgen. Gegenstand des Buchs ist daher die Frage, welche Konsequenzen die Datenschutz-Grundverordnung sowie die Gesetzgebung auf nationalstaatlicher Ebene für den Beschäftigtendatenschutz im Allgemeinen sowie für die Umsetzung der neuen Anforderungen bei unternehmensinternen Compliance-Maßnahmen hat.Table of ContentsEinführung.- Bedeutung von compliance im unternehmen.- Screenings auf basis der anomalieerkennung.- Rechtlicher rahmen für maßnahmen der mitarbeiterüberwachung im rahmen unternehmerischer compliance auf ebene der grundrechte sowie der emrk.- Regelung des beschäftigtendatenschutzes nach der dsgvo.- Allgemeine anforderungen der dsgvo und des bdsg an anomaliebasierte screenings von mitarbeitern.- Beweisverwertung vor den arbeitsgerichten.- Mitbestimmung des betriebsrats.- Fazit
£56.99
Springer Fachmedien Wiesbaden Datenwirtschaft und Datentechnologie: Wie aus
Book SynopsisIn diesem Open-Access-Buch stehen die wirtschaftliche Verwertung von Daten und die dazu gehörenden technischen und organisatorischen Prozesse und Strukturen in Unternehmen im Fokus. Es behandelt Themen wie Datenmonetarisierung, Datenverträge, Data Governance, Informationssicherheit, Datenschutz und die Vertrauenswürdigkeit von Daten.Seit Jahren wird davon gesprochen, dass „Daten das neue Öl“ sind. Expertinnen und Experten sind sich einig: Das Wertschöpfungspotential von Daten ist enorm und das über fast alle Branchen und Geschäftsfelder hinweg. Und dennoch bleibt ein Großteil dieses Potentials ungehoben. Deshalb nimmt dieser Sammelband konkrete Innovationshemmnisse, die bei der Erschließung des wirtschaftlichen Werts von Daten auftreten können, in den Blick. Er bietet praktische Lösungsansätze für diese Hürden an den Schnittstellen von Ökonomie, Recht, Akzeptanz und Technik. Dazu folgen die Autorinnen und Autoren einem interdisziplinären Ansatz und greifen aktuelle Diskussionen aus der Wissenschaft auf, adressieren praxisnahe Herausforderungen und geben branchenunabhängige Handlungsempfehlungen. Den Leserinnen und Lesern soll eine transparente Informationsbasis angeboten werden und damit die Teilnahme an der Datenwirtschaft erleichtert werden. Dieses Buch richtet sich an Entscheidungsträgerinnen und Entscheidungsträger in Unternehmen sowie an Entwicklerinnen und Entwickler datenbasierter Dienste und Produkte. Der Band ist ebenfalls für Fachkräfte der angewandten Forschung wie auch für interdisziplinär Studierende z.B. der Wirtschaftsinformatik, der technikorientierten Rechtswissenschaft oder der Techniksoziologie relevant.Table of ContentsEinleitung: Wie aus Daten Wert entsteht - Datenwirtschaft und Datentechnologie.- Teil 1 - Daten als Wirtschaftsgut: Einleitung: Daten als Wirtschaftsgut.- Grenzkostenfreie IoT-Services in den Datenmarktplätzen der Zukunft.- Besonderheiten datenbasierter Geschäftsmodellentwicklung.- Das Dilemma der Preisbildung datenbasierter Geschäftsmodelle in der produzierenden Industrie.- Bewertung von Unternehmensdatenbeständen: Wege zur Wertermittlung des wertvollsten immateriellen Vermögensgegenstandes.- Teil 2 - Datenrecht: Einleitung: Datenrecht.- Compliant Programming - Rechtssicherer Einsatz von Blockchains und anderen Datentechnologien.- Data Governance und Datenökonomie - Datenteilung in Ökosystemen rechtskonform gestalten.- Herausforderung und Grenzen bei der Gestaltung von Datenverträgen.- Vertragsdurchführung mit Smart Contracts - rechtliche Rahmenbedingungen und Herausforderungen.- Teil 3 - Kontrolle über Daten: Einleitung: Kontrolle über Daten.- Datenhoheit und Datenschutz aus Nutzer-, Verbraucher- und Patientenperspektive.- Verfahren zur Anonymisierung und Pseudonymisierung von Daten.- Datensouveränität in Digitalen Ökosystemen: Daten nutzbar machen, Kontrolle behalten.- Teil 4 - Vertrauen in Daten: Einleitung: Vertrauen in Daten.- Unternehmensdaten - Informationen aus gewachsenen, komplexen Systemen herausarbeiten.- Datenqualitätssicherung entloang der Datenwertschöpfungskette im Industriekontext.- Nationale und internationale Standardisierung und Zertifizierung von Datendiensten.
£31.34
Springer Fachmedien Wiesbaden Künstliche Intelligenz und Data Science in Theorie und Praxis: Von Algorithmen und Methoden zur praktischen Umsetzung in Unternehmen
Book SynopsisDieser Sammelband verbindet theoretische Grundlagen und praktische Anwendungen von Künstlicher Intelligenz (KI) und Data Science: Anerkannte Experten stellen in ihren Beiträgen den aktuellen Stand in Forschung und Wirtschaft dar – und bieten so einen einzigartigen Überblick über aktuelle Konzepte und ihre Umsetzung in Unternehmen. Im ersten Teil des Buchs werden die Methoden und Algorithmen skizziert, die sich größtenteils aus einer Kombination von Statistik und Informatik ergeben und auf Verfahren des Maschinellen Lernens bis hin zu Deep Learning und KI basieren. Im zweiten Teil wird die konzeptionelle Umsetzung in der Praxis skizziert: Hier wird insbesondere aufgezeigt, welche Herausforderungen in der Praxis auftreten – ob nun bei der Einbettung der Daten-Use-Cases in eine Gesamtstrategie oder bei der Produktivsetzung, Weiterentwicklung und dem Betrieb von Daten-basierten Lösungen. Der dritte Teil zeigt das breite Potpourri von Data Science in der Praxis: Branchengrößen wie Allianz, ADAC, BMW, Deutsche Bahn, Lufthansa, REWE, RTL, St. Galler Stadtwerke, SwissRe und viele weitere zeigen konkret, welche Erfahrungen sie bei ihren Projekten gesammelt haben. Fachartikel von über 20 namhaften Unternehmen decken die spezifischen Anforderungen ihrer jeweiligen Branchen ab. Das Buch möchte die interdisziplinäre Diskussion und Kooperation zwischen Wissenschaft und Wirtschaft fördern und richtet sich daher an verschiedene Lesergruppen: Studierende und Absolventen, die Orientierung für die eigene Laufbahn suchen. Forschende und Lehrende, die einen Einblick in praxisrelevante Einsatzgebiete erhalten möchten. Anwender, Praktiker und Entscheider, die sich über Chancen und Herausforderungen von KI in der Praxis informieren möchten. Table of ContentsVorwort- Grundlagen von Data Science- Data Science in der Praxis- Beispiele aus der Praxis-Ausblick/Wohin geht die Reise
£37.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Transactions on Large-Scale Data- and
Book SynopsisThe LNCS journal Transactions on Large-scale Data and Knowledge-centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g. computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 53rd issue of Transactions on Large-scale Data and Knowledge-centered Systems, contains six fully revised selected regular papers. Topics covered include time series management from edge to cloud, segmentation for time series representation, similarity research, semantic similarity in a taxonomy, linked data semantic distance, linguistics-informed natural language processing, graph neural network, protected features, imbalanced data, causal consistency in distributed databases, actor model, and elastic horizontal scalability.Table of ContentsModelarDB: Integrated Model-Based Management of Time Series from Edge to Cloud.- Variable-Size Segmentation for Time Series Representation.- Semantic Similarity in a Taxonomy by Evaluating the Relatedness of Concept Senses with the Linked Data Semantic Distance.- Constituency-informed and Constituency-constrained Extractive Question Answering with Heterogeneous Graph Transformer.- FAPFID: A Fairness-aware Approach for Protected Features and Imbalanced Data.- D-Thespis: A Distributed Actor-Based Causally Consistent DBMS.
£71.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Grundzüge der Wirtschaftsinformatik
Book SynopsisDiese Einführung in die Wirtschaftsinformatik ist bewusst kompakt gehalten. Dennoch sind alle wesentlichen Teilgebiete dargestellt und die Leitidee der Vernetzung und Integration zieht sich systematisch durch das Buch. Dadurch liefert es einen sehr guten Einblick in die mit IT unterstützten betrieblichen Aufgaben. Ausgehend vom Basiswissen zu Rechnern, ihrer Vernetzung sowie den verfügbaren Diensten werden die Grundlagen des Daten- und Wissensmanagements, von Big Data und KI behandelt. Die Unterstützung betrieblicher Funktionen und Prozesse durch die IT wird erläutert. Dabei wird die IT-basierte Einbindung privater Haushalte berücksichtigt. Neben dem IT-Management zeigen die Autoren, welchen Beitrag die IT zur digitalen Transformation leisten kann, von der Arbeitsplatzebene bis zur Neugestaltung des Geschäftsmodells eines Unternehmens. Das Buch eignet sich für Praktiker, die einen schnellen Überblick erhalten wollen, sowie für Studierende und Lehrende an Hochschulen und Berufsakademien.Neu in der 13. Auflage: Die Konzepte der Digitalisierung, des digitalen Wandels und die Voraussetzungen in Wirtschaft und Gesellschaft (technische Innovationen, Strukturen, Kultur, Steuerung) werden ausführlich dargestellt. Ergänzt wurden die Themen Künstliche Intelligenz, Cloud Computing, Edge Computing, Hochleistungsrechner (Supercomputer) sowie Beispiele zur Automatisierung im Produktionssektor durch Kommunikation zwischen Fertigungsmaschinen, Lagersteuerung, Logistik (Industrie 4.0), aber auch Weiterentwicklungen bei Finanzdienstleistungen (Zahlungsverkehr, Elektronische Handelssysteme, Marktdatensysteme, Kernbankensysteme). Vorgestellt werden moderne Ansätze der Software- und Systementwicklung, wie Agile Methoden oder Low-Code-Lösungen. Table of ContentsEinordnung der Wirtschaftsinformatik.- Technische Grundlagen.- Management von Daten.-Integrierte Anwendungssysteme.- Planung, Realisierung und Einführung von Anwendungssystemen.- Management der Ressource IT.- Digitaler Wandel von Unternehmen.
£26.59
Springer Fachmedien Wiesbaden Grundkurs Datenbankentwurf: Eine
Book SynopsisDie Stimmen zur 1. und zur 2. Auflage bestätigen: Endlich ein Buch, das den Leser wirklich verständlich an die Hand nimmt und sicher zum Ziel führt. Dies gelingt durch konsequente Beispielorientierung und leichte Verständlichkeit. Unterstützt wird der Leser zusätzlich durch den Online-Service. Schritt für Schritt werden die Etappen von der Analyse der Realität, die im Datenmodell abgebildet werden soll, zur Datenbank-Strukturierung aufgezeigt. Besonderer Vorzug sind die illustrativen Anwendungsbeispiele aus verschiedenen Unternehmenszusammenhängen und kaufmännischen Bereichen, zu denen in der 3. Auflage ausführliche Lösungen ergänzt wurden. Das Buch eignet sich für Studenten und Praktiker gleichermaßen, vor allem für Informatiker, Wirtschaftsinformatiker und Betriebswirte.Trade Review"Jarosch geht in seinem Buch ins Detail der Entwicklung eines konzeptionellen Datenmodells und zur konkreten Datenbank, unter Nutzung des Entity-Relationship-Modells. Wer Datenbanksysteme lernt, dürfte davon profitieren." iX, 03/2004Table of ContentsDatenbankentwurf - Von der Realität zum konzeptionellen Datenmodell - Datenbank-Modelle - Vom Datenmodell zur Datenbank - Möglichkeiten und Grenzen des Entity-Relationship-Modells und des relationalen Datenbank-Modells - Aufgaben zum Datenbankentwurf.
£47.49
United Nations Charter of the United Nations and Statute of the
Book SynopsisThe Charter of the United Nations was signed in 1945 by 51 countries representing all continents, paving the way for the creation of the United Nations on 24 October 1945. The Statute of the International Court of Justice forms part of the Charter. The aim of the Charter is to save humanity from war; to reaffirm human rights and the dignity and worth of the human person; to proclaim the equal rights of men and women and of nations large and small; and to promote the prosperity of all humankind. The Charter is the foundation of international peace and security.
£8.56
United Nations Charter of the United Nations and Statute of the International Court of Justice: English-language Limited Edition - Orange
Book SynopsisThe Charter of the United Nations was signed in 1945 by 51 countries representing all continents, paving the way for the creation of the United Nations on 24 October 1945. The Statute of the International Court of Justice forms part of the Charter. The aim of the Charter is to save humanity from war; to reaffirm human rights and the dignity and worth of the human person; to proclaim the equal rights of men and women and of nations large and small; and to promote the prosperity of all humankind. The Charter is the foundation of international peace and security.
£8.56
United Nations Charter of the United Nations and Statute of the
Book SynopsisThe Charter of the United Nations was signed in 1945 by 51 countries representing all continents, paving the way for the creation of the United Nations on 24 October 1945. The Statute of the International Court of Justice forms part of the Charter. The aim of the Charter is to save humanity from war; to reaffirm human rights and the dignity and worth of the human person; to proclaim the equal rights of men and women and of nations large and small; and to promote the prosperity of all humankind. The Charter is the foundation of international peace and security.
£8.56
United Nations Charter of the United Nations and Statute of the
Book SynopsisThe Charter of the United Nations was signed in 1945 by 51 countries representing all continents, paving the way for the creation of the United Nations on 24 October 1945. The Statute of the International Court of Justice forms part of the Charter. The aim of the Charter is to save humanity from war; to reaffirm human rights and the dignity and worth of the human person; to proclaim the equal rights of men and women and of nations large and small; and to promote the prosperity of all humankind. The Charter is the foundation of international peace and security.
£8.56
United Nations Charter of the United Nations and statute of the
Book SynopsisThe Charter of the United Nations was signed in 1945 by 51 countries representing all continents, paving the way for the creation of the United Nations on 24 October 1945. The Statute of the International Court of Justice forms part of the Charter. The aim of the Charter is to save humanity from war; to reaffirm human rights and the dignity and worth of the human person; to proclaim the equal rights of men and women and of nations large and small; and to promote the prosperity of all humankind. The Charter is the foundation of international peace and security.
£999.99
Springer Verlag, Singapore Data Science and Big Data Analytics: ACM-WIR 2018
Book SynopsisThis book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications in scientific computing. It discusses major issues pertaining to big data analysis using computational intelligence techniques, and the conjectural elements are supported by simulation and modelling applications to help address real-world problems. An extensive bibliography is provided at the end of each chapter. Further, the main content is supplemented by a wealth of figures, graphs, and tables, offering a valuable guide for researchers in the field of big data analytics and computational intelligence.Table of ContentsA Study of the Correlation between Internet Addiction and Aggressive Behavior Among the Namibian University Students An efficient model for outlier detection in time series dataset using clustering approach Genetic Algorithm Approach for Optimization of Biomass Estimation at LiDAR E-ALIVE: An Integrated Platform Based on Machine Learning Techniques to Aware and Educate Common People with the Current Statistics of Maternal and Child Health Care An Effective TCP’s Congestion Control Approach for Cross Layer Design in MANET A Study on Applying Agile Methodology to Manufacturing Industry Cloud Applications Baron-Cohen Model based Personality Classification using Ensemble Learning Analysis of Routing Protocols for Large Scale Multihop Multirate MANETs Review on Internet Traffic Sharing using Markov Chain Model in Computer Network Protein Sequence of Dengue Virus Classification and Secondary Structure Prediction using Random Forest Classifier Anomaly detection using Dynamic Sliding Window in Wireless Body Area Networks Scalable Privacy preservation in Big Data with Cloud Service Access Effective Healthcare Services by IoT based Model of Voluntary Doctors Multi Layer Architectures for SQLI Detection and Prevention in Web Application Development Emotional State Recognition with EEG signals using Subject Independent Approach Development of Early Prediction Model for Epileptic Seizures Research Issue in data Anonymization in Electronic Health Service: A survey Prediction of Cervical Cancer based on the life style, habits and diseases using Regression Analysis framework Novel outlier detection by integration of clustering and classification A Study on Benefits of Big Data for Retail Industry Protection of User Information by using Modified Data Copy Technique in Data Mining Performance Analysis of Traffic at Intersection using Direction Based Clustering in VANET Load Balancing using Amazon Cloud Services A Review of Wireless Charging Nodes in Wireless Sensor Networks Leeway of Lean concept to optimize Bigdata in manufacturing industry: An exploratory review NeuroFeedback Guided Learning Style Adaptability Derived from EEG Sensors Monitoring Public Participation in Multi-Lateral Initiatives using Social Media Intelligence An efficient Context-aware Music Recommendation based on Emotion and Time Context Locating and Detecting Nipple for Pornographic Image Identification Implementation of Improved Energy Efficient FIR Filter using Reversible Logic A Study on benefits of Big data for healthcare sector of India Handling Uncertainty in Linguistics using Probability Theory Review of Quality of Service based Techniques in Cloud Computing Skyline Computation for Big Data Available Energy Aware Multipath Routing For Reliable Service Discovery in MANET Human Face Detection Enabled Smart Stick for Visually Impaired People Web Based Service Recommendation System by Considering User Requirements Optimal Energy Conservation for Route Selection to improve in MANET Unsupervised Machine Learning for Clustering the Infected Leaves based on the Leaf-colours Real Time Big Data Analysis Architecture and Application Missing Value Imputation in Medical Records for Remote Healthcare Reliable Data Discovery with Two Ray Ground Way on DSR Routing in MANET Secure vehicular communication using Road side unit (RSU) trust management scheme Recommendation Framework for Diet and Exercise based on Clinical Data: A Systematic Review Predictive Models for Recommanding Restaurent System by users own Preference Security Assessment of SAODV Protocols in Mobile Adhoc Networks Attack Detection and its Analysis in DTN Mobile Ad-hoc network Secure Sum Computation using Homomorphic Encryption Traffic Analysis in Location Base Routing System in MANET Automated Workload management using machine learning A survey on Link Recovery in Wireless Mesh Network using resilience scheme Multi User Detection in Wireless Networks Using Decision Feedback Signal Cancellation ANN Based Predictive State Modelling of Finite State Machines Deep dive exploration of mixed reality in the world of Big Data
£116.99
Springer Verlag, Singapore Data Science and SDGs: Challenges, Opportunities and Realities
Book SynopsisThe book presents contributions on statistical models and methods applied, for both data science and SDGs, in one place. Measuring and controlling data of SDGs, data driven measurement of progress needs to be distributed to stakeholders. In this situation, the techniques used in data science, specially, in the big data analytics, play an important role rather than the traditional data gathering and manipulation techniques. This book fills this space through its twenty contributions. The contributions have been selected from those presented during the 7th International Conference on Data Science and Sustainable Development Goals organized by the Department of Statistics, University of Rajshahi, Bangladesh; and cover topics mainly on SDGs, bioinformatics, public health, medical informatics, environmental statistics, data science and machine learning. The contents of the volume would be useful to policymakers, researchers, government entities, civil society, and nonprofit organizations for monitoring and accelerating the progress of SDGs.Table of ContentsChapter 1: SDGs in Bangladesh: Implementation Challenges & Way Forward.- Chapter 2: Some Models and Their Extensions for Longitudinal Analyses.- Chapter 3: Association of IL-6 Gene rs1800796 Polymorphism with Cancer Risk: A Meta-Analysis.- Chapter 4: Two Level Logistic Regression Analysis of Factors Influencing Dual form of Malnutrition in Mother-child Pairs: A Household Study in Bangladesh.- Chapter 5: Divide and Recombine Approach for Analysis of Failure Data Using Parametric Regression Model.- Chapter 6: Performance of different data mining methods for predicting rainfall of Rajshahi district, Bangladesh.- Chapter 7: Generalized Vector Auto-regression Controlling Intervention and Volatility for Climatic Variables.- Chapter 8: Experimental Designs for fMRI Studies in Small Samples.- Chapter 9: Bioinformatic Analysis of Differentially Expressed Genes (DEGs) Detected from RNA-Sequencing Profiles of Mouse Striatum.- Chapter 10: Level of Serum High-sensitivity C-reactive protein Predicts Atherosclerosis and Coronary Artery Disease in Hyperglycemic Patients.- Chapter 11: Identification of Outliers in Gene Expression Data.- Chapter 12: Selecting Covariance Structure to Analyze Longitudinal Data: A Study to Model the Body Mass Index of Primary School Going Children in Bangladesh.- Chapter 13: Statistical Analysis of Various Optimal Latin Hypercube Designs.- Chapter 14: Erlang Loss Formulas: An Elementary Derivation.- Chapter 15: Machine Learning, Regression and Numerical Optimization.
£999.99
Springer Verlag, Singapore Data Science and Security: Proceedings of IDSCS
Book SynopsisThis book presents the best-selected papers presented at the International Conference on Data Science, Computation and Security (IDSCS-2021), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, during April 16–17, 2021. The proceeding is targeting the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing, and cloud computing.Table of ContentsTowards a Knowledge Centric Semantic Approach for Text Summarization.- Detection of Abnormal Red Blood Cells using Features Dependent on Morphology and Rotation.- A Systematic Review of Challenges and Techniques of Privacy-Preserving Machine Learning.
£161.99
Springer Verlag, Singapore Foundations of Data Science for Engineering
Book SynopsisThis book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in various disciplines. It will also help us to make future predictions and decisions using AI algorithms for engineering problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal with data science problems in multidisciplinary perspective. In the real world, data comes from various use cases, and there is a need of source specific data science models. Information is drawn from various platforms, channels, and sectors including web-based media, online business locales, medical services studies, and Internet. To understand the trends in the market, data science can take us through various scenarios. It takes help of artificial intelligence and machine learning techniques to design and optimize the algorithms. Big data modelling and visualization techniques of collected data play a vital role in the field of data science. This book targets the researchers from areas of artificial intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial intelligence in recent businesses.Table of ContentsIntroduction to Data Science.- Data Collection and Preparation.- Data Analysis and Machine learning Algorithms.- Data Visualization Tools and Data Modelling.- Data Science in Information, Communication and Technology.- Data Science in Civil & Mechanical Engineering.- Data Science in Clinical Decision System.- Conclusions.
£104.49
Springer Verlag, Singapore Proceedings of the Forum Math-for-Industry
Book SynopsisThis volume includes selected technical papers presented at the Forum “Math-for-Industry” 2018. The papers written by eminent researchers and academics working in the area of industrial mathematics from the viewpoint of financial mathematics, machine learning, neural networks, inverse problems, stochastic modelling, etc., discuss how the ingenuity of science, technology, engineering and mathematics are and will be expected to be utilized. This volume focuses on the role that mathematics-for-industry can play in interdisciplinary research to develop new methods. The contents are useful for researchers both in academia and industry working in interdisciplinary sectors.Table of ContentsA Brief Review of Some Swarming Models using Stochastic Differential Equations.- Copula-based estimation of Value at Risk for the portfolio problem.- An Overview of Exact Solution Methods for Guaranteed Minimum Death Benefit Options in Variable Annuities.- Determinantal reinforcement learning with techniques to avoid poor local optima.- Surface Denoising based on Normal Filtering in a Robust Statistics Framework.- Mathematical Modeling and Inverse Problem Approaches for Functional.- Clothing Design based on Thermal Mechanism.- Unique continuation on a sphere for Helmholtz equation and its numerical treatments.- Notes on Backward Stochastic Differential Equations for Computing XVA.
£112.49
Springer Verlag, Singapore Advances in Data and Information Sciences:
Book SynopsisThis book gathers a collection of high-quality peer-reviewed research papers presented at the 3rd International Conference on Data and Information Sciences (ICDIS 2021), held at Raja Balwant Singh Engineering Technical Campus, Agra, India, on May 14 – 15, 2021. In chapters written by leading researchers, developers, and practitioner from academia and industry, it covers virtually all aspects of computational sciences and information security, including central topics like artificial intelligence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it will show readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology.Table of ContentsITSA-KNN: Feature Selection Model Based on Improved Tree-Seed Algorithm and K-Nearest Neighbor for Network Intrusion Detection.- Cost-Effectiveness of Using Tablets for Digital Literacy Training in Tribal Areas of Rajasthan.- Multi-class weather classification: Comparative analysis of Machine learning algorithms.- Deep Learning Based Chatbot Framework ForMental Health Therapy.- Heart Disease Prediction using Core Machine Learning Techniques – A Comparative Study.- Predicting the presence of newt-amphibian using genetic programming.- Prediction of annual Indian Summer Monsoon Rainfall (ISMR) using Parametric Deep learning model.- Early-Stage Detection of Liver Disease through Machine Learning Algorithms.- Applications of High Dimensional Neural Networks: A Survey.- Breast Cancer Classification With Random Forest Classifier With Feature Decomposition Using Principal Component Analysis.- DDNA: A Modified Concept to DNA Cryptography.- A Comprehensive Study of AI-based Steganalysis Techniques on Image and Text Documents.- Image Tampering Forgery Detection using Convolutional Neural Network with Blockchain.
£999.99
Springer Verlag, Singapore Practical Guide to Life Science Databases
Book SynopsisThis book provides the latest information of life science databases that center in the life science research and drive the development of the field. It introduces the fundamental principles, rationales and methodologies of creating and updating life science databases. The book brings together expertise and renowned researchers in the field of life science databases and brings their experience and tools at the fingertips of the researcher. The book takes bottom-up approach to explain the structure, content and the usability of life science database. Detailed explanation of the content, structure, query and data retrieval are discussed to provide practical use of life science database and to enable the reader to use database and provided tools in practice. The readers will learn the necessary knowledge about the untapped opportunities available in life science databases and how it could be used so as to advance basic research and applied research findings and transforming them to the benefit of human life.Chapter 2 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.Table of ContentsChapter 1: GENCODE Annotation for the Human and Mouse Genome: A User Perspective.- Chapter 2: Genecard a database for gene annotation.- Chapter 3: IHEC: International human epigenome portal.- Chapter 4: Atlas of miRNAs and their Promoters in Human and Mouse.- Chapter 5: RefEX- Reference Expression Dataset.- Chapter 6: The mouse Gene Expression Database.- Chapter 7: ChIP-Atlas.- Chapter 8: Protein structural changes based on structural comparison.- Chapter 9: Single Cell Databases: an Emerging and Essential Tool.- Chapter 10: scIVA: Single Cell Interactive Visualisation and Analysis Data Mining Platform.- Chapter 11: Access and visualise high quality gene expression data with Stemformatics.- Chapter 12: Introduction to Practical Guide to Life Science Databases.
£378.00
Springer Verlag, Singapore Proceedings of Data Analytics and Management:
Book SynopsisThis book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.Table of ContentsCNN Based Feature Extraction for Visual Speech Recognition in Malayalam.- Effective Rate of Minority Class Over-Sampling for Maximizing the Imbalanced Dataset.- Spectral Efficiency Analysis of Massive MIMO.- Dental Cavity Detection using YOLO.- Development of Data Set for Automatic News Telecast System for Deaf Using ISL Videos.- A Comprehensive Survey on Content Based Image Retrieval using Machine Learning.- Machine Learning Techniques for Keystroke Dynamics.- Artificial Neural Network Approach for Multimodal Biometric Authentication System.- Malware Classification and Defence Against Adversarial Attacks.- Test Suite minimization based upon CMIMX and ABC.- Comparative Analysis on Machine Learning Methodologies for the Effective Usage of Medical WSNs.- Convolutional Neural Networks for Malaria Image Classification.- Plant Leaf Disease Identification and Prescription Suggestion Using Deep Learning.- Efficient Spectrum Allocation in Wireless Networks Using Channel Aggregation Fragmentation with Reservation Channels.- Toxic Comment Classification using Bi-Directional GRUs & CNN.- Climate Dependent Crop Management through Data Modeling.- Translate2Classify: Machine Translation for E-Commerce Product Categorization in comparison to Machine Learning & Deep Learning Classification.- Multimodal Biometric Authentication by Slap Swarm based Score Level Fusion.- Hybrid Metaheuristic Algorithm based Clustering with Multi-hop Routing Protocol for Wireless Sensor Networks.
£197.99
Springer Verlag, Singapore Proceedings of Data Analytics and Management:
Book SynopsisThis book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.Table of ContentsPsychological stress and mental health among seafarers.- Real Time Face-Mask Detection and Analysis System.- Gait Recognition Biometric System.- Fighting Media Hyper-partisanship with Modern Language Representation Models.- ANN Based Handwritten Digit Recognition and Equation Solver.- Hyperspectral Imaging in Document Forgery.- Optimized Usability Features of Academic Websites using Chicken Swarm and Cat Swarm Optimization Algorithm.- Study and Development of Self Sanitizing Smart Elevator.- Predict COVID-19 with Chest X-ray.- Image Segmentation Techniques: A Survey.- Quantum Inspired Support Vector Machines for Human Activity Recognition in Industry 4.0.- Hybrid System based on Genetic Algorithm and Neuro-Fuzzy Approach for Neurodegenerative Disease Forecasting.- Decentralized Library Management system using Blockchain technology.- Content based Image Retrieval using Deep Learning.- A Deep Learning-Based Feature Extraction Model for Classification Brain Tumor.- Image Classification in Python using Keras.- Predictive Analytics on E-commerce Annual Sales.- A Survey on Deep Learning Methods in Image Analytics.- Journey of Letters to Vectors through Neural Networks.- Accident Risk Prediction and Location Tracking of a Vehicle using Real-Time Data Acquisition from Vehicle Sensors.- Data Augmentation and Fine Tuning the radiography images to detect COVID-19 patients with pre-trained network of Transfer Learning.- Index Optimization using Wavelet Tree and Compression.
£161.99
Springer Verlag, Singapore Proceedings of International Conference on
Book SynopsisThis book covers various topics, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, and speech processing. This book is a collection of high-quality research work on cutting-edge technologies and the most-happening areas of computational intelligence and data engineering. It includes selected papers from the International Conference on Computational Intelligence and Data Engineering (ICCIDE 2021).Table of ContentsGenetic Algorithm based vaccine optimization technique to control COVID-19.- Ethereum MongoDB: Integrating Blockchain with Non-Relational Databases.- Attention based Discrimination of Mycoplasma Pneumonia.- Minimum Weight Dominating Set using Chemical Reaction Optimization Algorithm.- A Hybrid Domain Fragile Watermarking Techniques for Authentication of Color Images.- IOT based Carbon Monoxide Monitoring Model for Transportation Vehicles.- TWEERIFY: A Web based Sentiment Analysis System using Rule and Deep Learning Techniques.- Machine Learning Based Fake News Detection on Covid-19 Tweets Data.- ADVERSE EFFECT OF ELECTROMAGNETICFREQUENCY ON HUMAN BEING HEALTH UNDER REAL LIFE SCENARIO: A COMPARATIVE STUDY.
£143.99
Springer Verlag, Singapore Proceedings of the Fifth International Conference
Book SynopsisThis book (in three volumes) comprises the proceedings of the Fifth Conference of Transportation Research Group of India (CTRG2019) focusing on emerging opportunities and challenges in the field of transportation of people and freight. The contents of the volume include characterization of conventional and innovative pavement materials, operational effects of road geometry, user impact of multimodal transport projects, spatial analysis of travel patterns, socio-economic impacts of transport projects, analysis of transportation policy and planning for safety and security, technology enabled models of mobility services, etc. This book will be beneficial to researchers, educators, practitioners and policy makers alike.
£179.99
Springer Verlag, Singapore Computational Intelligence in Machine Learning:
Book SynopsisThe book includes select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2021). The book constitutes peer-reviewed papers on machine learning, computational intelligence, the internet of things, and smart city applications emphasizing multi-disciplinary research in artificial intelligence and cyber-physical systems. This book addresses the comprehensive nature of computational intelligence, artificial intelligence, machine learning, and deep learning to emphasize its character in modeling, identification, optimization, prediction, forecasting, and control of future intelligent systems. The book will be useful for researchers, research scholars, and students to formulate their research ideas and find future directions in these areas. It will help the readers to solve a diverse range of problems in industries and their real-world applications.Table of ContentsMachine Learning-based Project Resource Allocation Fitment Analysis System – (ML-PRAFS).- Electric Theft Detection using Un-supervised Machine Learning Based Matrix Profile and K Means Clustering Technique.- Placement Analysis – A New Approach to Ease the Recruitment Process.- Continuous Assessment Analyzer using Django.- Fuzzy Logic in Battery Energy Storage System (Bess).- Fault Classification of Cooling Fans using a CNN-based Approach.- Violence Recognition using Convolutional Neural Networks.- Automated Grading of Citrus Suhuiensis Fruit using Deep Learning Method.- The Future of Car Automation Field with Smart Driverless Technologies.- Diagnosis and Medicine Prediction for Covid-19 using Machine Learning Approach.- Automated Guided Vehicle Robot Localization with Sensor Fusion.- Implementation of Industrial Automation Water Distribution System Utilizing PLC: A Laboratory Set-up.- Control of Thin McKibben Muscles in an Antagonistic Pair Configuration.- Defect Severity Classification of Complex Composites using CWT and CNN.- Detection of Mobile Phone Usage While Driving using Computer Vision and Deep Learning.- Industry Revolution 4.0 Knowledge Assessment in Malaysia.
£332.49
Springer Verlag, Singapore Nutrigenomics and the Brain
Book SynopsisDr. Mohammed Salama is Atlantic senior fellow for Equity in brain health at the Global Brain Health Institute (GBHI) and Associate professor at the Institute of Global Health and Human Ecology at the American University in Cairo (AUC). He established the first Translational Neuroscience Unit in Egypt. Mohamed’s collaborative research led to establishing the Egyptian Network for Neurodegenerative Disorders Mohamed was selected as a SOT Global Senior Scholar in 2013 and Translational/bridging awardee in 2016. He was awarded by Parkinson’s and Movement Disorders Foundation (PMDF) for his continued research in neurodegeneration. Recently, Mohamed and his colleagues succeeded in drafting the first Reference Egyptian Genome and collaborating with other colleagues to start a national cohort (A Longitudinal Study of Egyptian Health Aging [AL-SEHA]). Table of ContentsChapter 1. Nutrigenomics; a broader concept.- Chapter 2. Gene-environment interaction.- Chapter 3. Gene-gut-brain - axis (gene–based personalized medicine).- Chapter 4. Nutrigenomics of aging.- Chapter 5. Nutrigenomics and Mental health.- Chapter 6. Nutrigenomics and neurodevelopmental disorders.- Chapter 7. Nutrigenomics and Alzheimer’s disease.- Chapter 8. Nutrigenomics and Parkinson’s Disease.- Chapter 9. Nutrigenomics, nutrigenetics and big data.- Chapter 10. Nutrigenomics and Development.- Chapter 11. Early Child malnutrition and neurodevelopment.- Chapter 12. The emerging role of vit D deficiency and Parkinson’s Disease risk.- Chapter 13. Nutrigenomics and autophagy crosstalk.- Chapter 14. Nanoparticles in food additives and brain health.
£151.99
Springer Verlag, Singapore Data Ethics and Challenges
Book SynopsisThis book gives a thorough and systematic introduction to Data, Data Sources, Dimensions of Data, Privacy, and Security Challenges associated with Data, Ethics, Laws, IPR Copyright, and Technology Law. This book will help students, scholars, and practitioners to understand the challenges while dealing with data and its ethical and legal aspects. The book focuses on emerging issues while working with the Data.Table of ContentsData and its Dimensions.- Data Privacy.- Data Security.- Data Ethics.- Intellectual Property Right – Copyright.
£44.99
Springer Verlag, Singapore Computer Networks, Big Data and IoT: Proceedings
Book SynopsisThis book presents best selected research papers presented at the International Conference on Computer Networks, Big Data and IoT (ICCBI 2021), organized by Vaigai College Engineering, Madurai, Tamil Nadu, India, during December 9–10, 2021. The book covers original papers on computer networks, network protocols and wireless networks, data communication technologies and network security. The book is a valuable resource and reference for researchers, instructors, students, scientists, engineers, managers and industry practitioners in those important areas.Table of ContentsChapter 1. Rakshak – Prototype Application to Depict Crime Hotspot and Safest Path between locations.- Chapter 2. Block Chain Technology in Application Development and Associated Challenges.- Chapter 3. Hybrid Statistical and Deterministic Based Pedestrian Tracking Algorithm for Location-Based IoT Applications.- Chapter 4. MAC based Secure Data Transmission in Vehicular Adhoc Networks.- Chapter 5. A Study on Challenges in Data Security During Data Transformation.- Chapter 6. An Edge-based Disjoint Path Selection Scheme for FANETs.- Chapter 7. Sign Language Interpreter.- Chapter 8. Architectural Insight of Neural Information Extraction, Retrieval and Processing for Multi-Modal Neural Search.- Chapter 9. A Comparative Study Analysis on Air Monitoring and Purification Systems.- Chapter 10. Malicious Node Detection and Prevention for Secured Communication in WSN.- Chapter 11. Performance Analysis and Assessment of Various Energy Efficient Clustering based Protocols in WSN.- Chapter 12. Academic Data Analysis and Projection using Artificial Intelligence.- Chapter 13. Analysis of Factor Verification Affecting Recruitment Process through Social Dynamics.- Chapter 14. Routing Protocols in an Opportunistic Network: A Survey.- Chapter 15. K-Splits: Improved K-Means Clustering Algorithm to Automatically Detect the Number of Clusters.
£179.99
Springer Verlag, Singapore The Rise of Artificial Intelligence and Big Data
Book SynopsisThis book presents a study of the COVID-19 pandemic using computational social scientific analysis that draws from, and employs, statistics and simulations. Combining approaches in crisis management, risk assessment and mathematical modelling, the work also draws from the philosophy of sacrifice and futurology. It makes an original contribution to the important issue of the stability of society by highlighting two significant factors: the COVID-19 crisis as a catalyst for change and the rise of AI and Big Data in managing society. It also emphasizes the nature and importance of sacrifices and the role of politics in the distribution of sacrifices. The book considers the treatment of AI and Big Data and their use to both “good” and “bad” ends, exposing the inevitability of these tools being used. Relevant to both policymakers and social scientists interested in the influence of AI and Big Data on the structure of society, the book re-evaluates the ways we think of lifestyles, economic systems and the balance of power in tandem with digital transformation.Table of ContentsChapter 1. A Worldview Seen From Sacrifices.- Chapter 2. Crises, Risks and Sacrifices.- Chapter 3. A Crisis of COVID-19 and its Sacrifices.- Chapter 4. Formalizing Models on COVID-19 Pandemic.- Chapter 5. For Balancing Health Care and Economics.- Chapter 6. Five Virtues to be Digitized Norms.- Chapter 7. Synchronizing Everything to the Digitized World.- Chapter 8. A Living Way in the Digitized World.- Chapter 9. A New World in Motion.- Chapter 10. Digitized Shifts of Regime and Hegemony.- Chapter 11. On Balance of Power.- Chapter 12. For Strategies in The Age of After Corona.- Chapter 13. Conclusion.
£113.99
Springer Verlag, Singapore Smart Cities and Smart Communities: Empowering
Book Synopsis“Smart City” programs and strategies have become one of the most dominant urban agendas for local governments worldwide in the past two decades. The rapid urbanization rate and unprecedented growth of megacities in the 21st century triggered drastic changes in traditional ways of urban policy and planning, leading to an influx of digital technology applications for fast and efficient urban management. With the rising popularity in making our cities “smart”, several domains of urban management, urban infrastructure, and urban quality-of-life have seen increasing dependence on advanced information and communication technologies (ICTs) that optimize and control the day-to-day functioning of urban systems. Smart Cities, essentially, act as digital networks that obtain large-scale real-time data on urban systems, process them, and make decisions on how to manage them efficiently. The book presents 26 chapters, which are organized around five topics: (1) Conceptual framework for smart cities and communities; (2) Technical concepts and models for smart city and communities; (3) Civic engagement and citizen participation; (4) Case studies from the Global North; and (5) Case studies from the Global South.Table of ContentsIntroduction.- Technology Talks: The Evolution and Rhetoric of Smartcities.- Projects for Smart Cities: Ecosystems, Connected Intelligence and Innovation Driving the Radical Transformation of Cities.- The Histories of New (Geo)politics of Smart Villages Communities in a Global World: A Contribution to Geographical Debate.- Identifying, Mapping and Measuring Europe’s Smart Cities and Digital Divides: Hyperlink Variations in Primary, Secondary and Tertiary Cities.- Role of Smart Dustbin in Creating a Smart Environment.- Smart Technologies and Aging Society.- Conceptual Model of Mixed-methods Civic Engagement Infrastructure Using Cloud-based Computing Combined with On-site Engagement and Action Projects.- Digital Placemaking: An Analysis of Citizen Participation in Smart Cities.- Historian for a Day: A Use Case of Augmented Reality in Civic Engagement.
£142.49
Springer Verlag, Singapore Data Engineering and Intelligent Computing:
Book SynopsisThis book features a collection of high-quality, peer-reviewed papers presented at the Fifth International Conference on Intelligent Computing and Communication (ICICC 2021) organized by the Department of Computer Science and Engineering and the Department of Computer Science and Technology, Dayananda Sagar University, Bengaluru, India, on 26–27 November 2021. The book is organized in two volumes and discusses advanced and multi-disciplinary research regarding the design of smart computing and informatics. It focuses on innovation paradigms in system knowledge, intelligence and sustainability that can be applied to provide practical solutions to a number of problems in society, the environment and industry. Further, the book also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and health care.Table of ContentsEnhancement of Image Forgery and Improvement of Image Parameters Using DWT Algorithm.- Derivation of DUS-Defined Physiological and Color Features of Okra Fruit Using Machine Vision Technology.- Application-Oriented Content Quality Analysis of Data Using Python.- An Improved Similarity Measure Based on Collaborative Filtering for Sparsity Problem in Recommender Systems.- Detection and Classification of Bird Pest Using Spectrogram, Physical Imagery, and Convolutional Neural Network.- Scatter Index: An Alternative Measure of Dispersion Based on Relative Frequency of Occurrence of Observations
£179.99
Springer Verlag, Singapore Proceedings of International Conference on
Book SynopsisThis book includes selected papers presented at International Conference on Computational Intelligence, Data Science,, and Cloud Computing (IEM-ICDC 2021), organized by the Department of Information Technology Institute of Engineering and Management, Kolkata, India, during December 22 – 24, 2021. It covers substantial new findings about AI and robotics, image processing and NLP, cloud computing and big data analytics as well as in cyber-security, blockchain and IoT, and various allied fields. The book serves as a reference resource for researchers and practitioners in academia and industry.Table of ContentsAutoDrone: Shortest Optimized Obstacle-Free Path Planning for Autonomous Drones.- Transfer Learning and Transformer Architecture for Financial Sentiment Analysis.- Feature Extraction and Machine Learning for the Classification of Fashion Materials.- Cardamom Quality Evaluation Employing Electronic Nose.- COVID-DeepNet: Deep Convolutional Neural Network Architecture Designed for Early Prognosis of COVID-19 using Post-Anterior View of Chest X-Rays.- Analytical Study on Feature Selection for Big Data using Optimization Algorithms.- A Machine Learning Approach for Predicting the Death Time and Mortality.- Prediction of Crops Production Using Random Forest Regression.- Drowsy Driving Detection based on Deep Neural Network for Accident Avoidance.- An Intelligent Fire-Extinguishing Robotic System to Combat fire in Coal Mines.
£208.99
Springer Verlag, Singapore Industry 4.0: Technologies, Applications, and
Book SynopsisThis book presents Industry 4.0 enabler technologies and tools. It also highlights some of the existing empirical applications in the context of manufacturing. The book elucidates innovative thematic concepts of Industry 4.0 and its perspectives. It establishes routes to empirically utilize Industry 4.0 standards for manufacturing companies. The book can be used as a reference for professionals/engineers, researchers, and students.Table of ContentsIndustry 4.0 concepts, technologies and its ecosystemCyber-physical system: enabler technologies, concepts and its role in industry 4.0 The Internet of Things: success stores and challenges in manufacturing Blockchain technology and its role in industry 4.0Blockchain technology applications and challenges in Industry 4.0 Industry 4.0 technologies in product design: Virtual design and Manufacturing, Augmented reality Digital Twins and its applications Big data analytics in industry 4.0Industry 4.0 in pharmaceutical industry: Towards pharma 4.0 Industry 4.0 in military: Towards military 4.0 Towards Industry 5.0: what Cognitive cyber physical system is?
£94.99
Springer Verlag, Singapore Ubiquitous Intelligent Systems: Proceedings of
Book SynopsisThis book features a collection of high-quality, peer-reviewed papers presented at the Second International Conference on Ubiquitous Intelligent Systems (ICUIS 2022) organized by Shree Venkateshwara Hi-Tech Engineering College, Tamil Nadu, India, during March 10–11, 2022. The book covers topics such as cloud computing, mobile computing and networks, embedded computing frameworks, modeling and analysis of ubiquitous information systems, communication networking models, big data models and applications, ubiquitous information processing systems, next-generation ubiquitous networks and protocols, advanced intelligent systems, Internet of Things, wireless communication and storage networks, intelligent information retrieval techniques, AI-based intelligent information visualization techniques, cognitive informatics, smart automation systems, health care informatics and bioinformatics models, security and privacy of intelligent information systems, and smart distributed information systems.Table of ContentsDevelopment of a Linear-Scaling Consensus Mechanism of the Distributed Data Ledger Technology.- A Six-Point Based Approach for Enhanced Broadcasting using Selective Forwarding Mechanism in Mobile Ad Hoc Networks.- Crop Price Prediction using Machine Learning Naive Bayes Algorithms.- The Performance Evaluation of Adaptive energy Conservation Scheme using IoT.- Towards the prominent use of Internet of Things(IoT) in Universities.- Depression Analysis of Real Time Tweets during Covid Pandemic.- Diabetic Retinopathy Detection Using Deep Learning.- Regional Language Translator using Natural Language Processing.- Fabric Defect Detection using Deep Learning Techniques.- Analysis of Research Paper Titles Containing Covid-19 keyword using Various Visualization Techniques.- Survey on Handwritten Characters Recognition in Deep Learning.- A Survey on Wild Creatures Alert System to Protect Agriculture Lands Domestic Creatures and People.- A Study on Surveillance System using Deep Learning Methods.- IRHA: An Intelligent RSSI based Home automation System.- A Review Paper on Machine Learning Techniques & Its Applications in Health Care Sector.- Enhanced Mask-RCNN for Ship Detection and Segmentation.- Data Scientist Job Change Prediction Using Machine Learning Classification Techniques.- Error Correction Scheme with Decimal Matrix Code for SRAM Emulation TCAMs.- Knowledge Discovery in Web usage Patterns using Pageviews and Data Mining Association.- Video Anomaly Detection using Optimization based Deep Learning.- A Fusional Cubic-Sine Map model for Secure Medical Image Transmission.- Innovative Technologies Developed for Autonomous Marine Vehicles by ENDURUNS Project.- Machine Learning Approaches to Predict Breast Cancer: Bangladesh Perspective.- A Comparative Review on Image Analysis with Machine Learning for Extended Reality (XR) Applications.- SWOT Analysis of Behavioural Recognition through Variable Modalities.- E-Mixup and Siamese Networks for Musical Key Estimation.- Microarray Data Classification using Feature Selection and Regularized Methods with Sampling Methods.- Visual Place Recognition using Region of Interest Ex-traction with Deep Learning based Technique.- Electronic Mobility Aid for Detection of Roadside Tree Trunks and Street-Light Poles.- Real Time Video Image Edge Detection System Using MyRIO.- Research Paper to Design & Develop an Algorithm for Optimization Chatbot.- Analysis of MRI Images to Discover Brain Tumor Detection Using Convolutional Neural Network and VGG-16.- Missing Data Recovery using Tensor Completion-based models for IoT-based Air Quality Monitoring System.- Stock Market Prediction through a Chatbot : A Human-Centered AI Approach.- Air Writing Recognition using Mediapipe and OpenCV.- Blockchain based Email Communication with Sha-256 Algorithm.- Sentimental Analysis on Amazon Reviews using Machine Learning.- Season based Crop Recommendation System using Transfer Learning: A Review.- Speed breaker Identification using Deep Learning Convolutional Neural Network.- Political Communication and Election Result: Facebook Account Analysis Jambi Governor Candidates in the 2020 Regional Election.- Intelligent System for Diagnosis of Pulmonary Tuberculosis using XGBoosting Method.- Web based Voice Assistant for Railways using Deep Learning Approach.- Segmentation and Classification Approach to Improve Breast Cancer Screening.- Analysis of a Software tool Developed to Determine the Activity of Anomalous Processes.- Study of Wave Models of Trajectories and Signals of Loading e ects in Computer Echolocation.- EnneaOntology: A Proposed Enneagram Ontology.- IoT based Signal Patrolling for Precision Vehicle Control.- Land use/cover Novel Dataset Based on Deep Learning: Case study of Fayoum, Egypt.- Exploring The effect of Word Embeddings and Bag-of-Words for Vietnamese Sentiment Analysis.- A Portable System for Automated Measurement of Striped Catfish Length using Computer Vision.- IoT based Automated Monitoring System for the Measurement of Soil Quality.- Pattern Recognition on Railway Points with Machine Learning: A Real Case Study.- Sustainability in Development of Grant Applications.- New Category of Equivalence Classes of Intuitionistic Fuzzy Delta-Algebras with their Applications.- Deep Neural Networks for Stock Market Price Predictions in VUCA Environments.- Building a Traffic flow Management System based on Neural Networks.- The Impact of Ruang Cerita Application on the Neuro Depression and Anxiety of Private University Students.- JobSeek Mobile Application: Helps Reduce Unemployment on the Agribusiness Sectors During New Normal.- Application's Impact on the SepuisLife Company's Insurance Sales Process During the Pandemic.- The Effect of Learning Using Videos on Online Learning of Private University during the Covid-19 Pandemic.- Implementation of Artificial Intelligence and Robotic that Replace Employee in Indonesia.- The Impact of Online Game Brain Addiction on Computers and Cellphones on College Students Who Take Online Classes.
£208.99
Springer Verlag, Singapore Smart Transportation Systems 2022: Proceedings of
Book SynopsisThis book gathers selected papers presented at the KES International Symposium on Smart Transportation Systems (KES STS 2022). Modern transportation systems have undergone a rapid transformation in recent years, producing a range of technological innovations such as connected vehicles, self-driving cars, electric vehicles, Hyperloop, and even flying cars, and with them, fundamental changes in transport systems around the world. The book discusses current challenges, innovations, and breakthroughs in smart transportation systems, as well as transport infrastructure modeling, safety analysis, freeway operations, intersection analysis, and other related cutting-edge topics.
£179.99
Springer Verlag, Singapore Data, Engineering and Applications: Select
Book SynopsisThe book contains select proceedings of the 3rd International Conference on Data, Engineering, and Applications (IDEA 2021). It includes papers from experts in industry and academia that address state-of-the-art research in the areas of big data, data mining, machine learning, data science, and their associated learning systems and applications. This book will be a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of big data applications.Table of Contents1. Medical Assistance Chatbot using Deep Learning.- 2. Distortion Controlled Secure Reversible Data Hiding in H.264 videos.- 3. A Method for improving Efficiency and Security of FANET using Chaotic Black Hole Optimization based Routing (BHOR) Technique.- 4. Machine Learning Techniques for Intrusion Detection System: A Survey.- 5. Software Fault Detection by using Rider Optimization Algorithm (ROA) based Deep Neural Network (DNN).- 6. An Approach for Predicting Admissions in Post Graduate Program by using Machine Learning.- 7. A Survey on Various Representation Learning of Hypergraph for Unsupervised Feature Selection.- 8. A brief study of time series forecasting technique using linear regression, SVM, LSTM, ARIMA and SARIMA.- 9. Adoption of Blockchain Technology for Storage & Verification of Educational Documents.- 10. Obstacle Collision Prediction model for Path Planning Using Obstacle Trajectory Clustering.
£116.99
Springer Verlag, Singapore Defining Enterprise Data and Analytics Strategy:
Book SynopsisThis is the first of its kind book that describes key elements of enterprise data and analytics strategy, and prescribes a pragmatic approach to define the strategy for large enterprises. The book is based on successful digital transformation experience of multiple Fortune 500 and other large enterprises. It is estimated that more than 50% of data and analytics initiatives fail globally because of the inherent complexity of such initiatives. Some of the questions that enterprises struggle with are: How to define enterprise data and analytics strategy? What are the key elements that should be considered while doing so? Why one-size-fits-all approach does not work for all enterprises? How to align data and analytics initiative with the business strategy of the CEO? How to establish a futuristic technology and architecture foundation, given the exponential rate of innovation in data and analytics technologies? How to define the right data and analytics organization model? Why data and analytics organization and processes need to be different from other functions? How to manage organizational change to ensure success of data and analytics initiative? How to define a business value measurement framework and calculate ROI from data and analytics initiative? What are the key skills required in a data and analytics leader to wade through political and other challenges of a large enterprise? This book will help executives, chief digital/analytics officers, data and analytics professionals, and consultants, in answering the above questions. It will help them in addressing various dilemmas that they face every day and making their enterprises data-driven.Table of ContentsChapter 1: What is Data and Analytics Strategy Key elements that should be part of the strategy Data and Analytics Strategy and its Criticality to Drive Enterprise Digital Initiatives Data and Analytics Strategy: A Case in Point Five Elements of Data and Analytics Strategy ▪ Business capabilities ▪ Technology and architecture ▪ Team, processes, and governance ▪ Organizational change management ▪ Value measurement framework SummaryChapter 2: First Element of Strategy – Business Capabilities Taking a top-down approach to align with business strategy Aligning with Organization’s Business Priorities Establishing Enterprise Performance Management Framework ▪ A brief historical perspective on performance measurement ▪ Key performance indicators (KPIs): lagging and leading indicators ▪ KPI trees to drive enterprise performance management ▪ Challenges of implementing enterprise KPI framework ▪ KPI framework defined for scenario 1 (organization A) discussed at the beginning of this chapter Driving Enterprise Digital Strategy ▪ Approach for scenario 2 (organization B): Digital transformation leveraging data and analytics Approach for Defining Data and Analytics Strategy, Starting with Business Capabilities ▪ Step 1: Enterprise churning – “Samudra Manthan” ▪ Step 2: Defining required business capabilities and other strategy elements ▪ Step 3: Prioritizing and creating an integrated roadmap SummaryChapter 3: Second Element of Strategy – Technology and Architecture Establishing technology and architecture foundation that is futuristic and flexible How Not to Define Technology and Architecture Strategy? Understanding Non-Functional Requirements to Define Data and Analytics Architecture ▪ Data sources ▪ Mode of delivery/access (of data) ▪ Temporal ▪ Data security ▪ Data type ▪ Data atomicity ▪ Latency ▪ Data quality and integrity ▪ Business model ▪ Data usage ▪ Metadata Defining Data and Analytics Architecture Selecting Relevant Technologies after Defining Data and Analytics Architecture SummaryChapter 4: Third Element of Strategy – Team, Processes, and Governance Establishing building blocks, including an agile team, for success Why Data and Analytics Organization and Processes Need to be Different from Other IT Functions? Choosing the Right Data and Analytics Organization Model ▪ Decentralized organization ▪ Centralized organization ▪ Federated organization Defining Data and Analytics Organization and Processes▪ Governance tower▪ Business tower▪ Technology and architecture tower▪ Solution delivery tower▪ Service delivery towerWeek-in-the-Life of Data and Analytics TeamSummaryChapter 5: Fourth Element of Strategy – Organizational Change ManagementDriving and managing change across the enterprise to ensure successNeed for Change Across the Enterprise▪ Till 2010 – A brief history of MIS era▪ The 2010s – Data visualization becomes all-pervasive across enterprises▪ The latter half of 2010s - Advent of digital technologies▪ Why organizational change managementDriving Change - Focus Areas & Objectives▪ Four Focus Areas – People, Processes, Technology, and Data▪ Three OCM Objectives▪ Twelve OCM Strategy Elements for Data and AnalyticsStages of Change & Change Leadership▪ The Three Stages of Change▪ Importance of Change LeadershipSummaryChapter 6: Fifth Element of Strategy – Value Measurement FrameworkEstablishing a framework to define and measure value of data and analytics programThe Need for a Value Measurement FrameworkDefining and Measuring Business Value▪ First impact area: Revenue increase▪ Second impact area: Cost reduction▪ Third impact area: Business risk mitigation▪ Fourth impact area: Company’s image building▪ Business value measurement: Correlation does not necessarily mean causalityDefining and Measuring Operational Efficiency – Continuous Improvement▪ People performance▪ Process effectiveness▪ Technology capability▪ Data maturity▪ Operational efficiency and maturity assessmentCalculating ROI from Data and Analytics Investment▪ Calculating benefits▪ Calculating costs▪ Calculating ROISummaryChapter 7: The Profile of a Data and Analytics LeaderKey skills of a leader who can lead the enterprise to successKey Skills that any Enterprise Data and Analytics Leader Must PossessHard Skills▪ Technology▪ Data science▪ BusinessSoft Skills▪ Dealing with ambiguity▪ Team leadership▪ Innovation and risk-taking▪ Organizational change management▪ Design thinking and empathy▪ MarketingSummary
£51.99
Springer Verlag, Singapore Education, Research and Business Technologies:
Book SynopsisThis book includes high-quality research papers presented at 21st International Conference on Informatics in Economy (IE 2022), which is held in Bucharest, Romania, during May 2022. This book covers research results in business informatics and related computer science topics, such as IoT, mobile-embedded and multimedia solutions, e-society, enterprise and business solutions, databases and big data, artificial intelligence, data mining and machine learning, quantitative economics.Table of ContentsMicro-Services as Key Enabler of a Cloud-Native Architecture.- The Importance of Security and Safety in a Smart City.- Cyber Range Technology Stack Review.- IOT Security Challenges for Smart Homes.- An Overview of Security Issues in Smart Contracts on the Blockchain.- Agile Business Systems Development Paradigms – Technological and Human Resource Perspectives.- Identification of Qualitative Weak Signals Coming from Asset Management Working Practices to Feed Forward-Looking Investment Pensions Funds Models.- Digital Competences in the Public Sector – Challenges for Universities.- Transport System in Bucharest.- General Characteristics of the Assisted E-Learning System in Computer Science.- E-Learning in Romania: An Overview on Software Solutions from Private Initiatives.
£179.99
Springer Verlag, Singapore Smart Technologies in Data Science and
Book SynopsisThis book features high-quality, peer-reviewed research papers presented at the Fifth International Conference on Smart Technologies in Data Science and Communication (SMARTDSC 2022), held Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India, on 16 – 17 June 2022. It includes innovative and novel contributions in the areas of data analytics, communication and soft computing. Table of ContentsA Graph based model for Discovering Host-based hook Attacks.- E-Health Care Patient Information Retrieval and Monitoring System Using SVM.- Number Plate Recognition using Optical Character Recognition (OCA) and Connected Component Analysis (CCA).- Cartoonify an Image with Open cv using Python.- Web Design as an Important Factor in the Success of a Website.- Earlier Selection of Routes for Data Transfer in both Wired and Wireless Networks.
£170.99
Springer Verlag, Singapore Intelligent Data Engineering and Analytics:
Book SynopsisThe book presents the proceedings of the 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022), held at NIT Mizoram, Aizawl, Mizoram, India during 18 – 19 June 2022. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. These proceedings are divided into two volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. This volume is a valuable resource for postgraduate students in various engineering disciplines.Table of ContentsAgriBlockchain: Agriculture supply chain using blockchain.- A Triple Band High Gain Antenna Using Metamaterial.- Hybrid Energy Systems Integrated Power System Imbalance Cost Calculation using Moth Swam Algorithm.- Lightweight Privacy Preserving Framework at Edge Layer in IoT.- Concept drift aware analysis of learning engagement during Covid 19 pandemic using adaptive windowing.- MPA Optimized Model Predictive Controller for Optimal Control of an AVR system.- Optimal Power Flow Considering Uncertainty of Renewable Energy Sources Using Meta-Heuristic Algorithm.- Remote Sensing Image Fusion Based on PCA and Wavelets.- Physical Layer Security in MIMO Relay Based Cognitive Radio Network.- Weighted Low Rank and Sparse Matrix Decomposition Models for Separating Background and Foreground in Dynamic MRI.- A Novel Approach For Bug Triaging Using TOPSIS.- Energy Efficient Resource Allocation in Cognitive Radio Networks.- A Hybrid Feature Selection Framework for Breast Cancer Prediction using Mutual Information and AdaBoost-RFE.- Internet of Things enabled Irrigation System in Precision Agriculture.- Medical Internet of Things and Data Analytics for Post-Covid Care: An Analysis.- ECG Biometric Recognition by Convolutional Neural Networks with Transfer Learning using Random Forest Approach.- Design and Analysis of a Metamaterial Based Butterworth Microstrip Filter.- A Review of Financial Fraud Detection in E-Commerce using Machine Learning.
£208.99
Springer Verlag, Singapore Trends of Data Science and Applications: Theory and Practices
Book SynopsisThis book includes an extended version of selected papers presented at the 11th Industry Symposium 2021 held during January 7–10, 2021. The book covers contributions ranging from theoretical and foundation research, platforms, methods, applications, and tools in all areas. It provides theory and practices in the area of data science, which add a social, geographical, and temporal dimension to data science research. It also includes application-oriented papers that prepare and use data in discovery research. This book contains chapters from academia as well as practitioners on big data technologies, artificial intelligence, machine learning, deep learning, data representation and visualization, business analytics, healthcare analytics, bioinformatics, etc. This book is helpful for the students, practitioners, researchers as well as industry professional.Table of ContentsNLP for Sentiment Computation.- Productizing an Artificial Intelligence solution for Intelligent Detail Extraction- Synergy of Symbolic and Sub-symbolic Artificial Intelligence techniques.- Digital Consumption Pattern and Impacts of Social Media: Descriptive Statistical Analysis.- Applicational Statistics in Data Science & Machine Learning.- Evolutionary algorithms based machine learning models.- Application to Predict the Impact of COVID-19 in India using Deep Learning.- Role of Data Analytics in Bio Cyber Physical Systems.- Evolution of Sentiment Analysis : Methodologies and Paradigms.- Healthcare Analytics: An advent to mitigate the risks and impacts of a Pandemic.- Image Classification for Binary Classes using Deep Convolutional Neural Network: An Experimental Study.
£104.49
Springer Nature Singapore Proceedings of the 7th International Conference on Knowledge Innovation and Invention Volume 1
£42.74
Springer Innovations in Data Engineering Sustainability for Societal and Industrial Impact
Book SynopsisWhen Gourmet Meets Technology–A Tale of Flavour Science Baked by Machine Learning.- Drawing the landscape: analysis the causes and prevention strategies of the landslide in an emblematic case of convergence of geological, climatic, and anthropic factors.- Unsupervised one class classifier model for fault detection in Wireless Sensor Networks.- Blind Bills: A Technological Approach to Increase Financial Inclusivity for Filipino Citizens.- Develop a Faster Mask Recurrent Convolutional Neural Network and Denoising Autoencoders to Enhance the EEG signals.- An Analysis of the Performance of Binary and Multiclass Models for Early Diagnosis of Skin Cancer.- Enhancing Life Quality for People Who Stutter through an AI-Driven Interactive Website - Assistance for People Who Stutter (AFPWS).- Community Health Management Using Machine Learning Algorithms.- Advancements in Machine Learning for Enhanced X-ray and Gamma Image Analysis: A Review.- Improving Tourism Image Classification with AI-Generated Descriptions: A Comparative Analysis of LLaVA and BLIP Models.- etc.
£197.99
Springer Data Engineering and Applications
Book SynopsisReview of Methods for Handling Class-Imbalanced in Classification Problems.- Course Material Recommendation System Using Student Learning Behavior and Course Material Complexity Score for Slow Learner Students.- A Benchmarking Investigation of Evolutionary Algorithms to resolve the COVID Sample Collection Problem.- Using OpenNLP and GraalVM to detect sentences in Kubernetes while comparing Helidon and Spring Boot's metrics.- An Efficient Hybrid Model to Summarize the Text using Transfer Learning.- Automatic Detection of Learner's Learning Style.- Construction of an Intelligent Knowledge based System using Transformer Model.- Machine Learning-Based Disease Diagnosis using Body Signals: A Review.- Finite-Difference and Finite-Volume 1D Steady-State Heat Conduction model for Machine Learning Algorithms.- Sign Language Detection Through PCANet and SVM.- A Novel Surface Roughness Estimation and Optimization Model for Turning Process Us
£170.99
