Computational Methods in Science and Technology

Proceedings of the 4th International Conference on Computational Methods in Science & Technology (ICCMST 2024), 2–3 May 2024, Mohali, India, Volume 2

Sukhpreet Kaur, Sushil Kamboj, Manish Kumar, Arvind Dagur, Dhirendra Kumar Shukla

• Publisher: CRC Press
• Year: 2024
• Print ISBN: 9781032911601
• eBook ISBN: 9781040260661
• Topic: Computer Science
• Subtopic: Robotics
• Index: Computer Science

This book contains the proceedings of the 4TH International Conference on Computational Methods in Science and Technology (ICCMST 2024).

The proceedings explores research and innovation in the field of Internet of things, Cloud Computing, Machine Learning, Networks, System Design and Methodologies, Big Data Analytics and Applications, ICT for Sustainable Environment, Artificial Intelligence and it provides real time assistance and security for advanced stage learners, researchers and academicians has been presented.

This will be a valuable read to researchers, academicians, undergraduate students, postgraduate students, and professionals within the fields of Computer Science, Sustainability and Artificial Intelligence.

Table of contents

• Cover
• Half Title
• Title Page
• Copyright Page
• Table of Contents
• Preface
• Acknowledgements
• Editor Biography
• Advisory Committee
• Organizing Committee
• Sign recognition system using multi-headed CNN architecture
• Novel image processing architecture using AWS
• Tuberculosis prediction system using machine learning
• Comparison of Watershed and K-means on basis of SSIM for detection of brain tumours from MR images
• Lumpy skin disease virus identification using image based and deep learning approach
• Travel Ease: A MERN stack travel web application with integrated chatbot and CI/CD deployment via Jenkins
• Development of retail banking through digital transformation using blockchain technology
• Fractional dual tree complex wavelet packet domain based image watermarking
• Recommendation of tourist spots in cities using deep learning
• A review implying an in-depth exploration of deep learning and its applications
• Unlocking the power of generative pre-training: A GPT-3 based conversational ai framework
• A survey on predictive maintenance for manufacturing using data mining techniques
• A survey of photovoltaic power forecasting approaches in solar energy landscape
• THIRD EYE: An object detection model for visually impaired
• Comparison of different pre-trained deep learning models for classification of soil moisture content
• Wearable intelligence system for health care: Synergizing smart devices and RNN-LSTM through IoT
• Analysis of stress level using supervised machine learning technique and IoT
• An improvised QoS aware scheduling algorithm in OFDM wireless network
• Predictive machine learning technique for forecasting gold prices in the commodity market
• Utilising dynamic mode to examine patterns of greenhouse gas and carbon dioxide emissions decomposition: Understanding and assessing performance
• A deep dive into building an ecommerce website using recommender systems
• Empowering patients: Evaluating user experience with the MED-LIST platform
• A systemetic review of machine and deep learning approaches for anti cyber bullying system
• Advances in sentiment analysis: A comprehensive review of technique and application
• Seismic-inspired simplified earthquake optimization
• Detection of plant diseases using image processing and machine learning
• FastText – XGB (FGB) machine learning model for Indian Penal Code (IPC) prediction
• Secure reunions: Implementing blockchain technology in a university lost and found ecosystem
• Optimizing fertilizer recommendations through fuzzy logic and soil nutrient analysis for advancing precision agriculture
• A comprehensive review on detection of depression through social media analysis
• GUARDIANET – An IoT framework for fishermen safety
• Investigating chatbot integration for improved blended learning
• A comprehensive web application for efficient event management
• Fuzzy logic task scheduling optimization machine learning method to employ healthcare services in the cloud
• Cryptographic and graph labelling solutions for patient data privacy and authentication for health care application
• Fog computing in health tech: A critical review for smart healthcare systems
• Image analytics for tree enumeration of forest land using CNN
• Design and implementation of password and fingerprint-enabled circuit breaker using Arduino, IoT and GSM
• Network intrusion detection system using random forest
• Enhancing brain tumour classification and detection using CNN
• Language identification of code-mixed using machine learning
• Machine learning-based emotional identification of social media text
• A study on Electronic Health Records (EHR) in India: Security challenges, initiatives and blockchain integration
• The future of food: Vertical farming and urban agriculture in sustainability
• A comprehensive analysis of cross-site scripting vulnerabilities
• An exploration on pattern analysis for bitcoin address behaviour
• Literature review on algorithmic trading
• Connecting talent with opportunity: A review of online job search tools
• A comparative review on machine learning based medical diagnostic systems for Chikungunya and Zika virus
• Multi-task semantic level hate speech detection using transformer based model and ensemble classifiers
• Detection of lung and colon cancer from histopathological images using deep learning
• Language identification using machine learning on social media text
• Enhancing rice crop yield prediction through the integration of ANFIS and ANN models with real-time sensor data
• Optimizing corrosion prevention strategies through mathematical predictive modelling: Integration of linguistic rules and fuzzy inference systems
• Junior junction: Engaging toddlers in digital learning
• IoT-driven sport activity recognition system empowered by deep learning and wearable technology
• Cluster analysis for stocks: A thorough exploration of K-means methods
• Thyroid detection using deep hybrid learning: The review
• Federated learning techniques in the healthcare area
• A comparative study of recommender systems in different domains
• Features enhancement of micro-service based cab booking system using block-chain
• A comprehensive review of recent advances and challenges in artificial intelligence and machine learning
• A systematic review of deep learning and machine learning tools for predicting and classifying pediatric genetic disorders
• Facial expression recognition using Two-Stream Convolutional Neural Networks (TSCNNs) and inception 3D Convolutional Neural Network (CNN)
• Efficient tagging strategies for software resources on information repositories
• Self-supervised representation learning for histopathological images using contrastive learning
• Detection of fungal infection in dogs using deep learning techniques
• Emotion recognition system using CNN and open CV
• A study on the role of deep learning in the detection and diagnosis of epileptic seizures
• Advancements in breast cancer detection: Harnessing the power of machine learning for diagnosis
• Analysis of effective resource scheduling optimization algorithms in IoT-fog-cloud environment
• Systematic review of big data
• Analysing and comparing search strategies in AI: A review
• Machine learning methods and resources: An overview
• Machine learning algorithm for brain stroke detection
• Credit card fraud detection using state-of-the-Art AI methods
• Sentiment analysis using support vector machines techniques on Twitter data
• Unravelling blackhole attacks in MANETs: A comprehensive analysis
• Marine communication system
• Role of linear algebra and algorithms in machine learning
• Comparative analysis of bandwidth allocation and path computation in GMPLS based NSFnet networks
• Streamlining medical imaging preprocessing by Python-powered image enhancement for effective problem localization
• Author index