Description

Book Synopsis

The book explores the concepts and challenges in developing novel approaches using the Internet of Things, intelligent systems, machine intelligence systems, and data analytics in various industrial sectors such as manufacturing, smart agriculture, smart cities, food processing, environment, defense, stock market and healthcare. Further, it discusses the latest improvements in the industrial sectors using machine intelligence learning and intelligent systems techniques, especially robotics.

Features: 

Highlights case studies and solutions to industrial problems using machine learning and intelligent systems.

Covers applications in smart agriculture, smart healthcare, intelligent machines for disaster management, and smart manufacturing.

Provides the latest methodologies using machine intelligence systems in the early forecasting of weather.

Examines the research challenges and identifies the gaps in data collection and data analys

Table of Contents

Chapter 1
A Framework for a Virtual Reality-based Medical Support System
Mohammad Nasfikur, Rahman Khan, Kari J Lippert

Chapter 2
ConvMax: Classification of COVID-19, Pneumonia and Normal lungs from X-ray Images using CNN with Modified Max-Pooing Layer
Kinjal A. Patel, Ashish Patel, Darshil P. Patel, Shubham J. Bhanderi

Chapter 3
Biorthogonal Filter-Based Algorithm for Denoising and Segmentation of Fundus Images
Udayini Chandana, Kezia Joseph Mosiganti, Mukil Alagirisamy

Chapter 4
Deep learning based Automatic Detection of Breast Lesions on Ultrasound Images
Telagarapu Prabhakar, Wilfrido Gómez-Flores, C Kishor Kumar Reddy

Chapter 5
Heart Disease Prediction using Enhanced Machine Learning Techniques
Ibomoiye Domor Mienye, Yanxia Sun

Chapter 6
Immersive Technologies in Healthcare Education
Mohammad Nasfikur Rahman Khan, Kari J Lippert

Chapter 7
Implications of Technological Trend Towards Smart Farming
S. Kripa, V. Jeyalakshmi, Masoud Daneshtalab, Manickavasagan Annamalai

Chapter 8
A Smart Sensing Technology for Monitoring Marine Environment Condition
Noorashikin Md Noor, Khairul Nizam Abdul Maulud, Siti Norliyana Harun

Chapter 9
Managing Agriculture Pollution Using Life Cycle Assessment and Artificial Intelligence Methods Siti Norliyana Harun, Marlia M. Hanafiah, Noorashikin Md Noor

Chapter 10
Ensemble Techniques for Effective Prediction of Crop Selection in Coastal Andhra Deltaic Region
A Vanathi, S. Rama Sree, K. Swaroopa

Chapter 11
Artificial Intelligence-based Quality Inference for Food Processing Industry Applications
Ninja Begum, Shagufta Rizwana, Manuj Kumar Hazarika

Chapter 12
A Study on Intelligent System and its Influence for Smarter Defense Service
P.R Anisha, C. Kishor Kumar Reddy, Nhu Gia Nguyen

Chapter 13
Steam Turbine Controller using Fuzzy logic
Abhay Krishan, Sachin Umrao

Chapter 14
Speech Recognition for Indian Accent English using Transformer Model
P. Teja, Anjali Gupta, Sakshi, Mathang Peddi

Chapter 15
Stock Market Prediction using Sentiment Analysis with LSTM and RFR
Monica Madan, Ashima Rani

Chapter 16
A Systematic and Exhaustive Analysis of Intelligent Software Effort Estimation Models
Dr. S. Rama Sree, S.N.S.V.S.C Ramesh, A. Vanathi and V. Ravi Kishore

Intelligent Systems and Machine Learning for

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RRP £145.00 – you save £7.25 (5%)

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A Hardback by P. R Anisha, C. Kishor Kumar Reddy, Nhu Gia Nguyen

15 in stock


    View other formats and editions of Intelligent Systems and Machine Learning for by P. R Anisha

    Publisher: Taylor & Francis Ltd
    Publication Date: 12/21/2022 12:00:00 AM
    ISBN13: 9781032261447, 978-1032261447
    ISBN10: 1032261447

    Description

    Book Synopsis

    The book explores the concepts and challenges in developing novel approaches using the Internet of Things, intelligent systems, machine intelligence systems, and data analytics in various industrial sectors such as manufacturing, smart agriculture, smart cities, food processing, environment, defense, stock market and healthcare. Further, it discusses the latest improvements in the industrial sectors using machine intelligence learning and intelligent systems techniques, especially robotics.

    Features: 

    Highlights case studies and solutions to industrial problems using machine learning and intelligent systems.

    Covers applications in smart agriculture, smart healthcare, intelligent machines for disaster management, and smart manufacturing.

    Provides the latest methodologies using machine intelligence systems in the early forecasting of weather.

    Examines the research challenges and identifies the gaps in data collection and data analys

    Table of Contents

    Chapter 1
    A Framework for a Virtual Reality-based Medical Support System
    Mohammad Nasfikur, Rahman Khan, Kari J Lippert

    Chapter 2
    ConvMax: Classification of COVID-19, Pneumonia and Normal lungs from X-ray Images using CNN with Modified Max-Pooing Layer
    Kinjal A. Patel, Ashish Patel, Darshil P. Patel, Shubham J. Bhanderi

    Chapter 3
    Biorthogonal Filter-Based Algorithm for Denoising and Segmentation of Fundus Images
    Udayini Chandana, Kezia Joseph Mosiganti, Mukil Alagirisamy

    Chapter 4
    Deep learning based Automatic Detection of Breast Lesions on Ultrasound Images
    Telagarapu Prabhakar, Wilfrido Gómez-Flores, C Kishor Kumar Reddy

    Chapter 5
    Heart Disease Prediction using Enhanced Machine Learning Techniques
    Ibomoiye Domor Mienye, Yanxia Sun

    Chapter 6
    Immersive Technologies in Healthcare Education
    Mohammad Nasfikur Rahman Khan, Kari J Lippert

    Chapter 7
    Implications of Technological Trend Towards Smart Farming
    S. Kripa, V. Jeyalakshmi, Masoud Daneshtalab, Manickavasagan Annamalai

    Chapter 8
    A Smart Sensing Technology for Monitoring Marine Environment Condition
    Noorashikin Md Noor, Khairul Nizam Abdul Maulud, Siti Norliyana Harun

    Chapter 9
    Managing Agriculture Pollution Using Life Cycle Assessment and Artificial Intelligence Methods Siti Norliyana Harun, Marlia M. Hanafiah, Noorashikin Md Noor

    Chapter 10
    Ensemble Techniques for Effective Prediction of Crop Selection in Coastal Andhra Deltaic Region
    A Vanathi, S. Rama Sree, K. Swaroopa

    Chapter 11
    Artificial Intelligence-based Quality Inference for Food Processing Industry Applications
    Ninja Begum, Shagufta Rizwana, Manuj Kumar Hazarika

    Chapter 12
    A Study on Intelligent System and its Influence for Smarter Defense Service
    P.R Anisha, C. Kishor Kumar Reddy, Nhu Gia Nguyen

    Chapter 13
    Steam Turbine Controller using Fuzzy logic
    Abhay Krishan, Sachin Umrao

    Chapter 14
    Speech Recognition for Indian Accent English using Transformer Model
    P. Teja, Anjali Gupta, Sakshi, Mathang Peddi

    Chapter 15
    Stock Market Prediction using Sentiment Analysis with LSTM and RFR
    Monica Madan, Ashima Rani

    Chapter 16
    A Systematic and Exhaustive Analysis of Intelligent Software Effort Estimation Models
    Dr. S. Rama Sree, S.N.S.V.S.C Ramesh, A. Vanathi and V. Ravi Kishore

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