Embracing Machines and Humanity Through Cognitive Computing and IoT

著者名：Usman, Mohammed (EDT)/Gao, Xiao-Zhi (EDT)

Springer（2023/03/01発売）

• 言語：ENG
• ISBN：9789811945212
• eISBN：9789811945229

Description

This book sheds light on systems that learn extensively, with purpose and naturally interact with humans. Improving operations and increasing competitive differentiation among manufacturing organizations by harnessing the power of cognitive abilities, IoT can help build and influence the flow of information—making the shop floor more cognitive through effective processing, analysis, and operational optimization. Now we are seeing the first-hand potential of cognitive computing—its ability to transform businesses, governments, and society. The real potential of the cognitive age can be realized by combining data analysis and statistical reasoning of machines with uniquely human qualities, such as self-directed goals, common sense, and moral values, improving operations and increasing competitive differentiation among manufacturing organizations. By harnessing the power of cognitive abilities, IoT can help build and influence the flow of information—making the shop floor more cognitive through effective processing, analysis, and operational optimization. Cognitive initiatives come in all shapes and sizes, from change to strategy and everything in between. What most successful projects have in common, no matter how ambitious, is they start with a clear view of what technology can do. Therefore, the first job of a cognitive scientists is to gain a firm understanding of cognitive abilities, as presented in this book. 

Table of Contents

Publishing Temperature and Humidity Sensor Data to ThingSpeak.- Design of Hybrid Logic Full Subtractor Using 10T XOR-XNOR Cell.- Stuck at Fault Detection in Ripple Carry Adders with FPGA.- Prediction of Covid-19 Spreaders.- SMART AGRICULTURAL SOLUTIONS THROUGH MACHINE LEARNING.- LOW-COST ECG BASED HEART MONITORING SYSTEM WITH UBIDOTS PLATFORM.- AUTOMATIC ATTENDANCE MANAGEMENT SYSTEM USING AI & DEEP CONVOLUTIONAL NEURAL NETWORK.- Automatic Vehicle Alert and Accident Detection System based on CloudUsing IoT.- AEFA-ANN: artificial electric field algorithm-based artificial neural networks for forecasting crude oil prices.- A CRITICAL SURVEY ON MACHINE LEARNING PARADIGMS TO FORECAST SOFTWARE DEFECTS BY USING TESTING PARAMETERS.- Low Power Comparator-Triggered Method of Multiplication for Deep Neural Networks.- Assembly line implementation for IOT applications.- Dementia disease detection from psychiatric disorders based on automatic speech analysis.