Intelligent Systems of Computing and Informatics (eBook, PDF)

Redaktion: Abdul Karim, Samsul Ariffin; Hijazi, Mohd Hanafi Ahmad; On, Chin Kim; Kulkarni, Anand J.

• Format: PDF

Produktbeschreibung

This book aims to develop a new Intelligent Systems of Computing and Informatics to cater to the needs of industries in line with the United Nation Sustainable Development Goals (SDGs) of affordable and clean energy and sustainable cities and communities.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 354
• Erscheinungstermin: 26. Juni 2024
• Englisch
• ISBN-13: 9781040042618
• Artikelnr.: 70645239

Autorenporträt

Samsul Ariffin Abdul Karim is an Associate Professor with Software Engineering Programme, Faculty of Computing and Informatics, Universiti Malaysia Sabah (UMS), Malaysia. Anand J Kulkarni is currently working as Professor and Associate Director of the Institute of Artificial Intelligence at the MITWPU, Pune, India. Chin Kim On is currently working as an Associate Professor at the Universiti Malaysia Sabah in the Faculty of Computing and Informatics. Mohd Hanafi Ahmad Hijazi is an Associate Professor of Computer Science at the Faculty of Computing and Informatics, Universiti Malaysia Sabah in Malaysia. Anand J Kulkarni holds a PhD in Distributed Optimization from Nanyang Technological University, Singapore, MS in Artificial Intelligence from University of Regina, Canada, Bachelor of Engineering from Shivaji University, India and Diploma from the Board of Technical Education, Mumbai. He worked as Research Fellow at Odette School of Business, University of Windsor, Canada. Anand worked with Symbiosis International University, Pune, India for over six years. He is currently working as Professor and Associate Director of the Institute of Artificial Intelligence at the MITWPU, Pune, India. KIM ON, CHIN received his PhD in Artificial Intelligence with the Universiti of Malaysia Sabah, Sabah, Malaysia during 2010 and he is currently working as an Associate Professor at the Universiti Malaysia Sabah in the Faculty of Computing and Informatics. His research interests are gaming AI, evolutionary computing, evolutionary robotics, artificial neural networks, image processing, agent technologies, sentiment analysis, evolutionary data mining, and biometric security system with mainly focused on fingerprint and voice recognition. Mohd Hanafi Ahmad Hijazi is an Associate Professor of Computer Science at the Faculty of Computing and Informatics, Universiti Malaysia Sabah in Malaysia. He obtained his PhD from the University of Liverpool in 2012. His research work addresses the challenges in knowledge discovery and data mining to identify patterns for prediction on structured and/or unstructured data; his particular application domains are medical image analysis and understanding, sentiment analysis on social media data, and recently precision farming.

Inhaltsangabe

Preface. Editors. Contributors. Chapter 1 Intelligent Systems of Computing
and Informatics: An Overview. Chapter 2 Intelligent Application of Partial
Least Square Algorithm in Developing Model of Fat Depth Measurement.
Chapter 3 Single Feature Imbalance Classification on Ensemble Learning
Methods for Efficient Real-Time Malware Detection. Chapter 4
Electroencephalogram-Based Emotion Recognition Using Binary Bat Algorithm
and Least Square Support Vector Machine. Chapter 5 Sequential Exception
Technique for Text Anomalies. Chapter 6 Intelligence Predictive Model for
Lamb Carcass C-Site Fat Depth Using Support Vector Machine. Chapter 7
Exploring the Power of Convolutional Neural Networks in Face Detection.
Program. Chapter 9 Intelligence Random Forest Application in Developing
Regression Model from Lamb Carcass C-Site Fat Depth Data. Chapter 10
Intelligent Identification System for MOOC Security. Chapter 11 Low
Illumination Surveillance for Object Detection and Recognition Using Deep
Learning Methods. Chapter 12 Intelligent System Design for the Solutions of
Nonlinear Diffusion in the Two-Dimensional Porous Medium. Chapter 13
Improved False Position Method Based on Slope (IFPMS). Chapter 14 Computing
of Anxiety or Depression Symptoms Indicators Using Lagrange Exponential
Modified Euler Method. Chapter 15 Hybridization of Simulated Kalman Filter
and Minimization of Metabolic Adjustment for Succinate and Lactate
Production. Chapter 16 Intelligent Air Conditioning Systems: Enhancing
Energy Efficiency and Indoor Air Quality through IoT and Air Conditioning
Unit Using Machine Learning. Chapter 17 A Comprehensive Analysis of Air
Quality Data: A Case Study Approach with the OpenAir Package in R. Chapter
18 A Systematic Review on Intelligent Mobile Beacon Systems: Applications
and Features. Chapter 19 Enhancing the Use of Simulation Software with
Artificial Intelligence Methods for Clean Energy System Performance.
Chapter 20 Intelligent Systems of Computing and Informatics: An Extension.
INDEX.