Intelligent System and Computing

Yang (Cindy) Yi

• Publisher: IntechOpen
• Year: 2020
• Print ISBN: 9781838805227
• eBook ISBN: 9781789857221
• Topic: Computer Science
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

The book "Intelligent System and Computing" reports the theory, mathematical models, algorithms, design methods, and applications of intelligent systems and computing. It covers various disciplines including computer and information science, electrical and computer engineering, natural sciences, economics, and neuroscience. The broad-ranging discussion covers the key disciplines in computational science and artificial intelligence as well as advances in neuromorphic computing, deep learning, the Internet of Things, computer vision, and many others. This volume provides both academics and professionals with a comprehensive overview of the field and presents areas for future research.

Table of contents

• Intelligent System and Computing
• Contents
• Preface
• Section 1 - Machine Learning and Deep Learning
• Chapter 1 - Machine Learning Techniques to Mitigate Nonlinear Phase Noise in Moderate Baud Rate Optical Communication Systems
• Chapter 2 - Deep Learning Based Prediction of Transfer Probability of Shared Bikes Data
• Chapter 3 - Voice Identification Using Classification Algorithms
• Chapter 4 - Parallel Processing for Range Assignment Problem in Wireless Sensor Networks
• Section 2 - Intelligent Systems
• Chapter 5 - Vehicle Secrecy Parameters for V2V Communications
• Chapter 6 - The Novel Applications of Deep Reservoir Computing in Cyber-Security and Wireless Communication
• Chapter 7 - SMS Security on Android Using RC4 Algorithm
• Chapter 8 - From Pillars to AI Technology-Based Forest Fire Protection Systems
• Chapter 9 - Vehicle Tracking Using Video Surveillance
• Chapter 10 - Intelligent Routing Mechanisms in IoT
• Section 3 - Emerging Devices for Intelligent Systems
• Chapter 11 - Graphene Nanowire Based TFETs
• Chapter 12 - Wax Deposition in Crude Oil Transport Lines and Wax Estimation Methods
• Section 4 - Computational Intelligence Methods
• Chapter 13 - Comparative Study of Interval Type-2 and Type-1 Fuzzy Geneticand Flower Pollination Algorithms in Optimization of Fuzzy Fractional Order PIλDμ Controllers
• Chapter 14 - Uncertainty in Measurement
• Chapter 15 - Quantized Neural Networks and Neuromorphic Computing for Embedded Systems
• Chapter 16 - Persuasion in Mobile Financial Service: A Case Study with a Bank Savings Mobile Application