Intelligent Computing, Smart Communication and Network Technologies: First International Conference, ICICSCNT 2023, Chennai, India, May 17-18, 2023, Proceedings

by Paulraj Dassan (Editor), Sethukarasi Thirumaaran (Editor), Neelakandan Subramani (Editor)

Overview

This book constitutes the refereed proceedings of the First International Conference on Intelligent Computing, Smart Communication and Network Technologies, ICICSCNT 2023, held in Chennai, India, during April 26–27, 2023.

The 36 full papers included in this book were carefully reviewed and selected from 782 submissions. The main aim of ICICSCNT 2023 is to present the state-of-the-art research innovations and results in the area of intelligent systems and advanced control technologies and real-world applications in ICT research, particularly covering autonomous systems, artificial intelligence, sensing, hardware and software implementation, soft computing, optimization, intelligent control design, intelligent system integration and control applications, and other relevant research areas.

Product Details

ISBN-13:	9783031759574
Publisher:	Springer-Verlag New York, LLC
Publication date:	11/19/2024
Series:	Communications in Computer and Information Science , #1970
Sold by:	Barnes & Noble
Format:	eBook
File size:	68 MB
Note:	This product may take a few minutes to download.

Table of Contents

.- Application of neural nets as computing network in augmenting variables of abrasive machining in polymer composites.
.- Design of Metaheuristically Supervised Linear ADRC for a Magnetic Levitation System Control.
.- Heart Disease Prediction Using Machine Learning Techniques.
.- Mental Health Classifier Model Using Support Vector Machines.
.- Enhanced Cloud Virtualization Based On Offloading Dynamic Switching Scheduling Algorithm Using Optimal Time Desk Task Allocation Model.
.- A Quick and effective loan eligibility analysis model using LightGBM.
.- Lifting Wavelet Transform Based Data Steganography for Health Care and Military Applications.
.- To Enhance the Efficiency and Features of Text to Image Generation using Neural Network Models.
.- DIABETIC RETINOPATHY IMAGE RECOGNITION USING AI TECHNIQUE IN RASBERRY PI.
.- Melanoma Skın Cancer classıfıcatıon usıng Transfer Learnıng.
.- EPIDEMIC OUTBREAK PREDICTION USING SIR MODEL.
.- Detecting Fake and Genuine facebook Users using Gradient Boosted Trees and Interpretable Machine Learning.
.- Multi-Faceted Surveillance Cam Using Computer Vision And Tkinter tool.
.- Real Time Sign Language Recognition using Custom Convolutional Neural Network and YOLOv5.
.- Modernized Speed Regulation Technique of DC Motor through Arduino.
.- Design and Performance analysis of proposed dual channel Redundant LoRaWAN for Industrial Control and Safety Shutdown Systems.
.- IoT-Based Crop Recommendation System Using SVM and Decision Tree Algorithm.
.- Analysis of Social Engineering Security Challenges and its Emerging Technologies.
.- Continuous Sign Language Recognition Using Holistic Key Points.
.- New Hybrid Ensemble Learning-Based Malware Detection Technique.
.- Computerized Number Plate Detection and Generalized Character Recognition using YOLOv8 Model.
.- Design And Creation of an App for Text and Voice Recognition System of Sign Language using Deep Learning Technique - Sign Aloud.
.- Malicious cyber attacks on blockchain handled using Machine learning algorithm.
.- Efficient Wind Speed Prediction using Machine Learning.
.- WAVERIDER - AN AUTONOMOUS SMART BOAT FOR GARBAGE COLLECTION, RESCUE OPERATIONS AND AQUACULTURE.
.- Early detection of autism spectrum disorder (ASD)-A Deep Learning Approach.
.- Implementing automatic ABCD rule for the classification of benign and malignant skin lesions.
.- The behaviour and sentience of Artificial intelligence.
.- Detection of Affected Spina Bifida Infant Babies in Ultra-Sound Images using LRMNet.
.- Naval Mine Detection and Classification: A Comparative Analysis of Deep Learning and Machine Learning Techniques.
.- Netflix Stock Price Prediction using LSTM based RNN.
.- Machine Learning Based Earlier Identification of Liver Disease Using Ultrasound Images.
.- HYBRID APPROACH FOR BRAIN TUMOR DETECTION AND CLASSIFICATION USING MRI.
.- Predictive Diagnosis A Survey: Harnessing the Power of Convolutional Neural Networks for Disease Prognostication through Scanned Image Analysis.
.- LEARNING TO GENERATE: TEXT GUIDED VISUAL FEATURE EXTRACTION FOR IMAGE CAPTIONING USING JOINT TWO-PHASE LEARNING MODEL.
.- AI-Driven Indoor Farming: An Algorithmic Approach to Sustainable Agriculture.