Aaisha Makkar - Böcker

This book covers the different technologies of Internet, and machine learning capabilities involved in Cognitive Internet of Things (CIoT). Machine learning is explored by covering all the technical issues and various models used for data analytics during decision making at different steps. It initiates with IoT basics, its history, architecture and applications followed by capabilities of CIoT in real world and description of machine learning (ML) in data mining. Further, it explains various ML techniques and paradigms with different phases of data pre-processing and feature engineering. Each chapter includes sample questions to help understand concepts of ML used in different applications.Explains integration of Machine Learning in IoT for building an efficient decision support systemCovers IoT, CIoT, machine learning paradigms and modelsIncludes implementation of machine learning models in RHelp the analysts and developers to work efficiently with emerging technologies such as data analytics, data processing, Big Data, RoboticsIncludes programming codes in Python/Matlab/R alongwith practical examples, questions and multiple choice questions

This book constitutes the refereed proceedings of the 5th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2022, held in Kingsville, TX, USA, in collaboration with the Applied AI Research Laboratory of the University of South Dakota, during December 01-02, 2022.The 31 full papers included in this book were carefully reviewed and selected from 69 submissions. They were organized in topical sections as follows: healthcare: medical imaging and informatics; computer vision and pattern recognition; internet of things and security; and signal processing and machine learning.

This book constitutes the refereed proceedings of the 6th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2023, held in Derby, UK, during December 2023, in collaboration with the Applied AI Research Lab at the University of South Dakota.The 62 full papers included in this book were carefully reviewed and selected from 216 submissions. The papers are organized in the following topical sections:Volume I:Artificial intelligence and applied machine learning; applied image processing and pattern recognition; and biometrics and applications.Volume II:Healthcare informatics; pattern recognition in blockchain, IOT, cyber plus network security, and cryptography.

This book constitutes the refereed proceedings of the 6th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2023, held in Derby, UK, during December 2023, in collaboration with the Applied AI Research Lab at the University of South Dakota.The 62 full papers included in this book were carefully reviewed and selected from 216 submissions. The papers are organized in the following topical sections:Volume I:Artificial intelligence and applied machine learning; applied image processing and pattern recognition; and biometrics and applications.Volume II:Healthcare informatics; pattern recognition in blockchain, IOT, cyber plus network security, and cryptography.

This book addresses the issues with privacy and security in Internet of things (IoT) networks which are susceptible to cyber-attacks and proposes deep learning-based approaches using artificial neural networks models to achieve a safer and more secured IoT environment.