Business Intelligence for Enterprise Internet of Things

Chapter 1 Internet of Things (IoTs) Evolutionary Computation, Enterprise Modelling and Simulation

Chapter 2 Organization Internet of Things (IoTs): Supervised, Unsupervised, and Reinforcement Learning

Chapter 3 Enterprise IoT Modeling: Supervised, Unsupervised, and Reinforcement Learning

Chapter 4 An Overall Perspective on Establishing End-to-End Security in Enterprise IoT (E-IoT)

Chapter 5 Advanced Machine Learning for Enterprise IoT Modeling

Chapter 6 Enterprise Architecture for IoT: Challenges and Business Trends

Chapter 7 Semi-Supervised Machine Learning Algorithm for Predicting Diabetes Using Big Data Analytics

Chapter 8 On-the-Go Network Establishment of IoT Devices to Meet the Need of Processing Big Data Using Machine Learning Algorithms

Chapter 9 Analysis of Virtual Machine Placement and Optimization Using Swarm Intelligence Algorithms

Chapter 10 Performance Evaluation of Different Neural Network Classifiers for Sanskrit Character Recognition

Chapter 11 GA with Repeated Crossover for Rectifying Optimization Problems

Chapter 12 An Algorithmic Approach to System Identification in the Delta Domain Using FAdFPA Algorithm

Chapter 13 An IoT-Based Controller Realization for PV System Monitoring and Control

Chapter 14 Development of an Efficient, Cheap, and Flexible IoT-Based Wind Turbine Emulator

Chapter 15 An Application of IoT to Develop Concept of Smart Remote Monitoring System

Chapter 16 Heat Maps for Human Group Activity in Academic Blocks

Chapter 17 Emphasizing on Space Complexity in Enterprise Social Networks for the Investigation of Link Prediction Using Hybrid Approach

Chapter 18 Overview on Deep Neural Networks: Architecture, Application and Rising Analysis Trends