Description

Book Synopsis

Discover detailed insights into the methods, algorithms, and techniques for deep learning in sensor data analysis

Sensor Data Analysis and Management: The Role of Deep Learning delivers an insightful and practical overview of the applications of deep learning techniques to the analysis of sensor data. The book collects cutting-edge resources into a single collection designed to enlighten the reader on topics as varied as recent techniques for fault detection and classification in sensor data, the application of deep learning to Internet of Things sensors, and a case study on high-performance computer gathering and processing of sensor data.

The editors have curated a distinguished group of perceptive and concise papers that show the potential of deep learning as a powerful tool for solving complex modelling problems across a broad range of industries, including predictive maintenance, health monitoring, financial portfolio forecasting, and driver assistan

Table of Contents

About the Editors vii

List of Contributors ix

Preface xiii

1 Efficient Resource Allocation Using Multilayer Neural Network in Cloud Environment 1
N. Vijayaraj, G. Uganya, M. Balasaraswathi, V. Sivasankaran, Radhika Baskar, and A.S. Syed Fiaz

2 Internet of Things for Human-Activity Recognition Based on Wearable Sensor Data 19
Dr. Vikram Rajpoot, Sudeep Ray Gaur, Aditya Patel, and Dr. Akash Saxena

3 Evaluation of Feature Selection Techniques in Intrusion Detection Systems Using Machine Learning Models in Wireless Ad Hoc Networks 33
T.J. Nagalakshmi, M. Balasaraswathi, V. Sivasankaran, D. Ravikumar, S. Joseph Gladwin, and S. Pravin Kumar

4 Neuro-Fuzzy-Based Bidirectional and Biobjective Reactive Routing Schema for Critical Wireless Sensor Networks 73
K.M. Karthick Raghunath and G.R. Anantha Raman

5 Feature Detection and Extraction Techniques for Real-Time Student Monitoring in Sensor Data Environments 97
Dr. V. Saravanan and Dr (Ms). N. Shanmuga Priya

6 Deep Learning Analysis of Location Sensor Data for Human-Activity Recognition 103
Hariprasath Manoharan, Ganesan Sivarajan, and Subramanian Srikrishna

7 A Quantum-Behaved Particle-Swarm-Optimization-Based KNN Classifier for Improving WSN Lifetime 117
Ajmi Nader, Helali Abdelhamid, and Mghaieth Ridha

8 Feature Detection and Extraction Techniques for Sensor Data 131
Dr. L. Priya, Ms. A. Sathya, and Dr. S. Thanga Revathi

9 Object Detection in Satellite Images Using Modified Pyramid Scene Parsing Networks 147
Akhilesh Vikas Kakade, S Rajkumar (Corresponding Author), K Suganthi, and L Ramanathan

10 Coronary Illness Prediction Using the AdaBoost Algorithm 161
G. Deivendran, S. Vishal Balaji, B. Paramasivan, S. Vimal (Corresponding Author)

11 Geographic Information Systems and Confidence Interval with Deep Learning Techniques for Traffic Management Systems in Smart Cities 173
Prisilla Jayanthi

Index 199

Sensor Data Analysis and Management

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    A Hardback by A. Suresh, R. Udendhran, M. S. Irfan Ahmed

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      View other formats and editions of Sensor Data Analysis and Management by A. Suresh

      Publisher: John Wiley & Sons Inc
      Publication Date: 02/12/2021
      ISBN13: 9781119682424, 978-1119682424
      ISBN10: 1119682428

      Description

      Book Synopsis

      Discover detailed insights into the methods, algorithms, and techniques for deep learning in sensor data analysis

      Sensor Data Analysis and Management: The Role of Deep Learning delivers an insightful and practical overview of the applications of deep learning techniques to the analysis of sensor data. The book collects cutting-edge resources into a single collection designed to enlighten the reader on topics as varied as recent techniques for fault detection and classification in sensor data, the application of deep learning to Internet of Things sensors, and a case study on high-performance computer gathering and processing of sensor data.

      The editors have curated a distinguished group of perceptive and concise papers that show the potential of deep learning as a powerful tool for solving complex modelling problems across a broad range of industries, including predictive maintenance, health monitoring, financial portfolio forecasting, and driver assistan

      Table of Contents

      About the Editors vii

      List of Contributors ix

      Preface xiii

      1 Efficient Resource Allocation Using Multilayer Neural Network in Cloud Environment 1
      N. Vijayaraj, G. Uganya, M. Balasaraswathi, V. Sivasankaran, Radhika Baskar, and A.S. Syed Fiaz

      2 Internet of Things for Human-Activity Recognition Based on Wearable Sensor Data 19
      Dr. Vikram Rajpoot, Sudeep Ray Gaur, Aditya Patel, and Dr. Akash Saxena

      3 Evaluation of Feature Selection Techniques in Intrusion Detection Systems Using Machine Learning Models in Wireless Ad Hoc Networks 33
      T.J. Nagalakshmi, M. Balasaraswathi, V. Sivasankaran, D. Ravikumar, S. Joseph Gladwin, and S. Pravin Kumar

      4 Neuro-Fuzzy-Based Bidirectional and Biobjective Reactive Routing Schema for Critical Wireless Sensor Networks 73
      K.M. Karthick Raghunath and G.R. Anantha Raman

      5 Feature Detection and Extraction Techniques for Real-Time Student Monitoring in Sensor Data Environments 97
      Dr. V. Saravanan and Dr (Ms). N. Shanmuga Priya

      6 Deep Learning Analysis of Location Sensor Data for Human-Activity Recognition 103
      Hariprasath Manoharan, Ganesan Sivarajan, and Subramanian Srikrishna

      7 A Quantum-Behaved Particle-Swarm-Optimization-Based KNN Classifier for Improving WSN Lifetime 117
      Ajmi Nader, Helali Abdelhamid, and Mghaieth Ridha

      8 Feature Detection and Extraction Techniques for Sensor Data 131
      Dr. L. Priya, Ms. A. Sathya, and Dr. S. Thanga Revathi

      9 Object Detection in Satellite Images Using Modified Pyramid Scene Parsing Networks 147
      Akhilesh Vikas Kakade, S Rajkumar (Corresponding Author), K Suganthi, and L Ramanathan

      10 Coronary Illness Prediction Using the AdaBoost Algorithm 161
      G. Deivendran, S. Vishal Balaji, B. Paramasivan, S. Vimal (Corresponding Author)

      11 Geographic Information Systems and Confidence Interval with Deep Learning Techniques for Traffic Management Systems in Smart Cities 173
      Prisilla Jayanthi

      Index 199

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