Search results for ""author valentina emilia balas""
Springer Decision Making and Decision Support in the Information Era
Systems and networks.- 21st Century Artificial Intelligence tackling climate instability Cybernetic modelling of living systems.- Sky Computing: Opportunities and Challenges.- Resilience of Networks A Partial Review.- Information and Informational Organization of the Living Structures From Decision Making to Decisional Big Data Assisted Informational Era.- Sensor Networks as a Support Mechanism in Intelligent Transportation Systems.- Intelligent systems and decision support general issues and critical applications.- A quantitative perspective on the evolution of Decision Support Systems.- Decision Support Systems for Reverse Logistics in Industry 4.0.- Medical Decision Support System for Lung Damage Classification.- How can Intelligent Decision Support Systems be applied in Obstetrics.- Harnessing the Capabilities of IoHT based Remote Monitoring Systems for Decision Making in Elderly Healthcare.- Surgical Decision Making in a Success
£179.99
Springer Verlag, Singapore Applied Information Processing Systems: Proceedings of ICCET 2021
This book is a collection of selected high-quality research papers presented at the International Conference on Computing in Engineering and Technology (ICCET 2021), organized by Dr. Babasaheb Ambedkar Technological University, Lonere, India, during January 30–31, 2021. Focusing on frontier topics and next-generation technologies, it presents original and innovative research from academics, scientists, students and engineers alike. The theme of the conference is Applied Information Processing System.
£129.99
Springer Verlag, Singapore Sentimental Analysis and Deep Learning: Proceedings of ICSADL 2021
This book gathers selected papers presented at the International Conference on Sentimental Analysis and Deep Learning (ICSADL 2021), jointly organized by Tribhuvan University, Nepal; Prince of Songkla University, Thailand; and Ejesra during June, 18–19, 2021. The volume discusses state-of-the-art research works on incorporating artificial intelligence models like deep learning techniques for intelligent sentiment analysis applications. Emotions and sentiments are emerging as the most important human factors to understand the prominent user-generated semantics and perceptions from the humongous volume of user-generated data. In this scenario, sentiment analysis emerges as a significant breakthrough technology, which can automatically analyze the human emotions in the data-driven applications. Sentiment analysis gains the ability to sense the existing voluminous unstructured data and delivers a real-time analysis to efficiently automate the business processes. Meanwhile, deep learning emerges as the revolutionary paradigm with its extensive data-driven representation learning architectures. This book discusses all theoretical aspects of sentimental analysis, deep learning and related topics.
£199.99
