Innovations in Information and Communication Technology


Series: Innovations in Information and Communication Technology

Computing, Communication, Automation and Biomedical Technology

Chow Chee Onn (Editors)




Describes the advances of computing, communication, automation, and biomedical technology innovations.

Represents applications of Advances in Electrical, Computing, Communication, Civil, Mechanical, Biological and Chemical Systems.

Provides an ideal reference for computing, communication, automation, and biomedical technology researchers, industry scientists, engineers, advanced undergraduate and graduate students.


Table of contents

[108 chapters]

Chapter091 - Chapter108




Finger Print Based Vehicle Validation and Mileage Monitoring System

J. Senthilkumar, K. Saravanan and P. Anandakumar

Pages 419-422




Protuberancy State Recognition in Human Visual System

Bharath V, Sreelatha P, Jeba N, Priyadharshini P and Gururraja

Pages 423-425




A Survey on Machine Learning Algorithms for Vision State Classification and Prediction Through Electroencephalogram (EEG) Signal

Devipriya A, Brindha D and Kousalya A

Pages 426-429




Analysis of Foot Ulcer Level Using NonInvasive Technique Based on Image Segmentation for Type 2 Diabetic Patients

K.S. Tamilselvan, M.G. Sumithra, G. Murugeasan, Balaji Sathyamoorthy and Rajeshwari Hegde

Pages 430-434




Steganography Based Authenticated Data Sharing in Health Care

P. Thangaraj, M. Salomi, and A. Devipriya

Pages 435-437




Potato Leaf Disease Classification using Transfer Learning based Modified Xception Model

Rajasekaran Thangaraj, Pandiyan P, Vishnu Kumar Kaliappan, S. Anandamurugan and Indupriya P

Pages 438-442




IOT Based Remote Livelihood Monitoring for Elderly People Care Assessment

K.Kalirajan, G.Shanthi, K.Balaji and R. Balamurugesh

Pages 443-446




A Prediction of Corona Disease Transmission Using A Traditional Machine Learning Approach

Chandran Venkatesan, Sumithra M G, Karthick A, Anto Merline M, Elakkiya Balan and Jayarajan V

Pages 447-452




Enhanced Regional Clustering Algorithm in Seizure Location Identification

Allwyn Gnanadas.A, Sathishbabu and Prince Ashwin Kumar

Pages 453-458




Feature Extraction from Uterus Signal and Image for Diagnosing Pregnancy Complications

Rajeshwari R, Geetha Devasena M, Gopu Govindasamy, Mythili Shanmugam and BalaMurugesh R

Pages 459-463




Detection of Tomato Plant Diseases Using Deep Convolutional Neural Network

Vijayaganth V, Naveenkumar M and Mohan M

Pages 464-465




Fish Species Classification using SVM Kernels

Pandiyan P, Rajasekaran T, Vishnu Kumar K, Sivaramakrishnan R and Thigarajan T

Pages 466-470




Detection of Ovarian Tumor Using Machine Learning Approaches: A Review

Gitanjali Wadhwa and Mansi Mathur

Pages 471-476




Diagnosis of Diabetic Retinopathy Using Machine Learning

A. Balamurugan, V.S. Vaisakhi, D. Surendran and S. Umamaheswari

Pages 477-481




Ensemble Machine Learning Approach for Diabetes Prediction

K.R. SriPreethaa, N. Yuvaraj and G. Jenifa

Pages 482-486




Deep Learning Applications and Perspectives: COVID 19

P. Suresh, P. Robert and A. Padmavathi

Pages 487-490




Experimental Investigation on Wear Behaviour of AA6082 Aluminium Alloy, Tungsten Carbide and Graphite Hybrid Composites

K. Kiran M, SuriyaPrakash, K. Ravi Kumar and M. Vijay Kumar

Pages 491-494




Implementation of Eigenvalue Based Cooperative Spectrum Sensing in Cognitive Radio

Aswatha R, Nithya S, Dhivya S, Priyadharsini S and Soundararaj R D

Pages 495-498