Proceedings of 5th International Conference on Frontiers in Computing and Systems : COMSYS 2024, Volume 1 / edited by Dipak Kumar Kole, Snehanshu Saha, Subhadip Basu, Paweł Górecki, Debotosh Bhattacharjee.

Format:

Book

Contributor:

Kole, Dipak Kumar, Editor.

Saha, Snehanshu, Editor.

Basu, Subhadip, Editor.

Górecki, Paweł., Editor.

Bhattacharjee, Debotosh., Editor.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 1488

Language:

English

Subjects (All):

Computational intelligence.

Telecommunication.

Bioinformatics.

Data protection.

Computational Intelligence.

Communications Engineering, Networks.

Data and Information Security.

Local Subjects:

Computational Intelligence.

Communications Engineering, Networks.

Bioinformatics.

Data and Information Security.

Physical Description:

1 online resource (XIV, 631 p. 264 illus., 235 illus. in color.)

Edition:

1st ed. 2026.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2026.

Summary:

This book gathers high-quality research papers presented at the 5th International Conference on Frontiers in Computing and Systems (COMSYS 2024) held at BITS Pilani K K Birla Goa Campus, Goa, India, during December 13 – 15, 2024. The book covers research in AI, machine learning, and data science; devices, circuits, and systems; computational biology, biomedical informatics, and network medicine; communication networks, cloud computing and IoT; image, video and signal processing; and security and privacy.

Contents:

Automated Vision-Based System for Comprehensive and Real-Time Detection and Classification of Fruit Surface Damages

Multi-objective optimization of envelope design for operational energy and emissions performance of high-rise apartment in warm and humid climate using genetic algorithm and IoT

Efficient Computer Vision Model for Early Diagnosis of Type 2 Diabetes Mellitus Using CNN and SVM Techniques

Developer Interaction across Experience Levels: A Study of Three Systems

RavNet: Conditioning Retinal Vessel Identification using a cascaded multi objective U-Net

Analysing the application of machine learning techniques for detecting SQL injection vulnerabilities in web applications

MADNet: Multi-class Attack Detection Network for VANETs

Mood based Quote Recommendation using Deep Learning

An Effective CO2 Emission Prediction through Ensemble Learning: A Comparative Analysis of Various Models

Unveiling Critical Insights using Predictive Analytics and Explainable AI: A Case Study on COVID-19 through Statistical Inference

Industrial Safety Detecting Deviations and Monitoring Using IIoT 4.0

Intelligent Analysis of Student Performance in Online Learning Platforms using Data Mining Techniques

Support Vector Economics: From Polyvariant Functions to a Binary Classification Method

Dual Selective Attention Model for Sentiment and Emotion Identification with Explainable Cause Generation

Autonomous Vehicle Steering Angle Prediction using CNN and Computer Vision

Analysis of Badminton playing techniques using Computer Vision and Deep Learning

Detecting Depression in short text Using a new CSMI feature selection approach

Multi-population Evolution for Noisy Multi-objective Optimization

Multi-Objective Optimization for Cooperative PathPlanning of UAV-Network in Complex Terrain

Real-Time Smart Bus Number Recognition and Audio Output System for the Visually Impaired

Explainable Rumor Detection Using Topic Modeling

A Multimodal Approach to Alzheimer's Disease Classification: Enhanced Detection through Pre-Trained Language and Vision Transformers in Comprehensive Speech and Text Analysis

Harnessing Technological Solutions to Address Growing Demand for Healthcare Services: A Review

Multiclass Brain Tumor Detection Using Deep Learning Algorithms

A Comprehensive Survey: Identification of Bird Species Through Audio Recordings

Brain Tumor Classification of MRI data using Deep Semi Transfer Learning Framework

Incorporating Feature Importance for Enhanced Prediction of Chloride Permeability and Compressive Strength in Sustainable Green Concrete Using the ChloroNet-9 Deep Learning Model

Oral lesions classification using Fusion based Deep Learning

Bayesian physics-informed neural network for parameter estimation of mooring line

Predicting Shear Capacity using the Explainable BeamNet-12 Model for Corrosion Prevention in CRC Beams

Image-based identification of road conditions using deep learning based models by transferring domain knowledge with visual attention

Solar Power Prediction Using Deep Learning Technique

Yellow Vein Mosaic Virus Detection in Okra Plant Using Graph Convolution Network

Early Detection of Alzheimer’s Disease using Deep Learning and SMOTE for Class Imbalance Correction

Location Metadata Extraction from Landslide Related Online News Articles Using LLM Based Approaches

Leveraging Machine Learning and Streamlit for RealTime Stock Analysis and Prediction

Hand-Gesture Based HCI for Application Control with Custom Action Mapping in Multi-modal Input-Interface

Pose-Specific Adaptive ROI (PSAR) Extraction model for yoga pose detection

Comparative Analysis of YOLO 7, 8, and 9 for Object Detection in Indian Food Items Using Auto Distillation

Detecting Meditative States Through Heart Rate Variability and Machine Learning Techniques

Scalable MapReduce based Fuzzy Min-Max Neural Network using knn-medoids for Pattern Classification

Speech-To-Speech Translation Using NLP

Analysis and Application of Various Naive Bayes Classifier

Head and neck cancer detection with microarray gene expression data using mutual information and autoencoder.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

981-9683-09-2

9789819683093

OCLC:

1577546108