Embracing Machines and Humanity Through Cognitive Computing and IoT
by
 
Usman, Mohammed. editor.

Title
Embracing Machines and Humanity Through Cognitive Computing and IoT

Author
Usman, Mohammed. editor.

ISBN
9789811945229

Edition
1st ed. 2023.

Physical Description
X, 130 p. 71 illus., 53 illus. in color. online resource.

Series
Advanced Technologies and Societal Change,

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.

Subject Term
Computational intelligence.
 
User interfaces (Computer systems).
 
Human-computer interaction.
 
Neural networks (Computer science) .
 
Internet of things.
 
Artificial intelligence.
 
Sustainability.
 
User Interfaces and Human Computer Interaction.
 
Mathematical Models of Cognitive Processes and Neural Networks.

Added Author
Usman, Mohammed.
 
Gao, Xiao-Zhi.

Added Corporate Author
SpringerLink (Online service)

Electronic Access
https://doi.org/10.1007/978-981-19-4522-9


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book527331-1001ONLINEElektronik Kütüphane