Business Intelligence for Enterprise Internet of Things - Couverture souple
Livre 46 sur 129: EAI/Springer Innovations in Communication and Computing
Synopsis
Preface
1) Internet of Things (IoTs) Evolutionary Computation, Enterprise Modeling and Simulation
2) Organization Internet of Things (IoTs): Supervised, Unsupervised and Reinforcement Learning
3) Enterprise IoT Modeling: Supervised, Unsupervised and Reinforcement Learning
4) An Overall Perspective on Establishing End-To-End Security In Enterprise-IOT (E-IOT)
5) Advanced Machine learning for Enterprise IoT modelling
6) Enterprise Architecture for IoT: Challenges and Business Trends
7) Semi Supervised Machine Learning Algorithm for Predicting Diabetes using Big Data Analytics
8) On-The-Go Network Establishment of IoT Devices To Meet The Need of Processing Big Data Using Machine Learning Algorithms
9) Analysis of Virtual Machine Placement and Optimization Using Swarm Intelligence Algorithms
10) Performance Evaluation of Different Neural Network Classifiers for Sanskrit Character Recognition11) GA With Repeated Crossover for Rectifying Optimization Problems
12) An Algorithmic Approach to System Identification In the Delta Domain Using FADFPA Algorithm
13) An IoT Based Controller Realization for PV System Monitoring and Control
14) Development of An Efficient, Cheap and Flexible IoT Based Wind Turbine Emulator
15) An Application of IoT to Develop Concept of Smart Remote Monitoring System
16) Heat-Maps for Human Group Activity in Academic Blocks
17) Emphasizing on Space Complexity in Social Networks for the Investigation of Link Prediction Using Hybrid Approach
18) Overview on Deep Neural Networks: Architecture, Application and Rising Analysis Trends
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
