1st Edition

Computational Intelligence in Robotics and Automation

Edited By S.S Nandhini, M Karthiga, S B Goyal Copyright 2023
    260 Pages 58 Color & 14 B/W Illustrations
    by CRC Press

    260 Pages 58 Color & 14 B/W Illustrations
    by CRC Press

    This book will help readers to understand the concepts of computational intelligence in automation industries, industrial IoT (IIOT), cognitive systems, data science, and Ecommerce real time applications.

    The book:

    • Covers computational intelligence in automation industries, industrial IoT (IIOT) , cognitive systems and medical Imaging
    • Discusses intelligent robotics applications with the integration of automation and artificial intelligence
    • Covers foundations of the mathematical concepts applied in robotics and industry automation applications
    • Provides application of artificial intelligence (AI) in the area of computational intelligence

    The text covers important topics including computational intelligence mathematical modeling, cognitive manufacturing in industry 4.0, artificial intelligence algorithms in robot development, collaborative robots and industrial IoT (IIoT), medical imaging, and multi-robot systems. The text will be useful for graduate students, professional and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer science.

    Discussing the advantages of the integrated platform of industry automation, robotics and computational intelligence, this text will be useful for graduate students, professional and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer science. It enlightens the foundations of the mathematical concepts applied in robotics and industry automation applications.

    1. Automatic Detection of Dental Age Assessment Using An Efficient Elman Neural Network With Dragonfly Optimization
            B. Hemalatha and N. Rajkumar

    2. Robotic Assistants from Personalized care to disease diagnosis and treatment plans in Health care applications
            M. Karthiga, P. Dhivya and S. S. Nandhini

    3. A Novel Model for Weather Forecasting Using Deep Learning
            S.K.Nivetha;R.C.Suganthe; C.S.Kanimozhiselvi; N.Senthilkumaran; Senthil Kumar Muthusamy; S.Ashwini; P. Harinitha and  B.Aishvarya

    4. Application of Artificial Intelligence Algorithms for Robot Development
            R. M. Tharsanee, R. S. Soundariya; A. Saran Kumar and V. Praveen

    5. Robotic Process Automation in Covid-19
            Naveena P, Pradeepika T; Priyadharshini V and Padmashree A

    6. Newfangled Immaculate IoT based Smart Farming and Irrigation System
            Ms. P.Divya; D.Palanivel Rajan; K.S.Kannan; D.Yuvaraj and Balachandra Pattanaik

    7. A Review on Haze Removal Methods in Image and Video for Object Detection and Tracking
            Monika Sharma, Dileep Kumar Yadav and S.B Goyal

    8. Cyber ML based cyber-attack prediction framework in Health care Cyber Physical Systems
            P. Sathish Kumar; M.Karthiga and Balamurugan E

    9. IoT-based Smart Irrigation and Monitoring System for Agriculture
             Sampoornam K P; Saranya S and Hyder Ali Segu Mohamed


    10. Applications in Automobile Industries: Warehouse, Logistics and Delivery Systems, Mobile Robots
            G. Sathish Kumar; D. Prabha Devi; R. Ramya and P. Rajesh Kanna

    11. Drones in Agriculture: Multispectral Analysis
             Abhishek Choubey and Bharath Chandan Reddy

    Biography

    Nandhini S S is currently working as Senior Assistant professor and Head in Information Science and Engineering in Bannari Amman Institute of Technology, Tamil Nadu. She has completed her M.E in Computer Science Engineering from PSG College of Technology, Coimbatore, Tamil Nadu. She is pursuing her PhD from Anna University in Information and Communication Engineering and presently working on utility mining. She has teaching experience of more than 8 years. She is a distinguished speaker in ACM.

    Karthiga M is currently working as an Assistant Professor in the Department of Computer science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam. She completed her M.E in Computer Science Engineering from Kongu Engineering College. She is pursuing her PhD from Anna University in Information and Communication Engineering and presently working in Machine Learning and Deep Learning Projects. She is involved in Data Science Lab. She has teaching experience of more than 7 years.

    Dr. S.B Goyal is Director in Faculty of Information Technology, City University, Malaysia. He has M.Sc, M.Tech and Ph.D from Banasthali Vidyapith, India. He has Teaching Experience of more than 20 years. He is IEEE Senior Member. His research Areas are Modelling and Simulation, Data Science, Artificial Intelligence.