Proceedings of 5th International Conference on Frontiers in Computing and Systems by Kole, Dipak Kumar; Saha, Snehanshu; Basu, Subhadip;

COMSYS 2024, Volume 1

Sorozatcím: Lecture Notes in Networks and Systems; 1488;

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A termék adatai:

Kiadó Springer Nature Singapore
Megjelenés dátuma 2026. január 3.
Kötetek száma 1 pieces, Book

ISBN 9789819683086
Kötéstípus Puhakötés
Terjedelem631 oldal
Méret 235x155 mm
Nyelv angol
Illusztrációk XIV, 631 p. 264 illus., 235 illus. in color. Illustrations, black & white

Kategóriák

A biológia általános kérdései A mérnöki tudományok általános kérdései Villamosmérnöki tudományok, híradástechnika, műszeripar A számítástudomány elmélete, a számítástechnika általában Adatkezelés a számítógépes rendszerekben Operációs rendszerek és grafikus felhasználói felületek Számítógépes hálózatok általában Mesterséges intelligencia Adatvédelem, adatbiztonság Az ember-gép kölcsönhatás Média- és információipar

Hosszú leírás:

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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.

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Több

Tartalomjegyzék:

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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.

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