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This two-set volume CCIS 2610 and 2611 constitutes the refereed proceedings of the Second International Conference on Emerging Technology and Sustainable Solutions, ICETSS 2024, held in Punjab, India, during October 8 9, 2024.
The 67 full papers included in these proceedings were carefully reviewed and selected from 134 submissions.The papers focus on the most recent innovations, trends, and sustainable development goals for advancement in intelligent computing, communication systems and networking, embedded systems and IoT, biomedical and healthcare, and industrial and commercial applications of technologies.
List of contents
.- Utilizing Blockchain for Secure and Transparent Voting Systems.
.- Real-Time Physical Activity Classification Utilizing Ambient and Wearable Sensors Based on Deep Learning.
.- Enhanced Weather Monitoring and Prediction with IoT nd Deep Learning.
.- Cybersecurity Awareness: Insights from a Comprehensive Survey.
.- Simulation & Analytical Model of Gate Stack Gate All Around MOSFET as Gas Sensor.
.- AI in Enhancing Diagnostic Precision of CBC, Iron, and Lipid Profiles for the Prognostication and Management of Chronic Kidney Disease: A Systematic review.
.- AI-Assisted Analysis of Hematological Parameters for Early Detection of Malaria.
.- BER Performance Analysis of PKC-SPE Cryptosystem in AWGN and Rayleigh Fading Channels.
.- Security And Privacy In Web Application: Efficient Encryption Using ECC And Attribute-Based Encryption.
.- A Novel Method for the Detection of Gravitational Wave Signal of BBH and BNS Using Convolutional Neural Networks.
.- An investigation of deep learning techniques for the robust detection of melanoma cancer.
.- Real-Time Traffic System Analysis Utilizing Image Processing Techniques- A Literature Survey.
.- Screening and diagnosis of Alzheimer s disease using Artificial Intelligence: A review.
.- Harnessing the Power of Virtual Reality to Bolster Employee Resilience: A Comprehensive Review and Future Directions.
.- Deep Learning Based Dementia Detection on MRI Data.
.- Electricity Load Forecasting Using Hybrid Deep Learning Algorithms for Demand Response Programs in Smart Energy Management Systems.
.- Soundscapes: Impact of AI in Cinematic Audio.
.- A Review on Deep Learning Models and Fractal Residual Learning in detection of different tumors.
.- Performance Analysis of Key Performance Indicators (KPIs) in 5G Networks for Resource Allocation.
.- Predicting Domain Validity: A Machine Learning Approach.
.- Investigation of Temperature Associated Performance Variations in Nanoscale Recessed Channel Double Gate Junctionless Transistor.
.- ML based Malicious Traffic Detection for Industrial-IoT Ecosystem.
.- Agile Methodology Adoption and Understanding Analysis: An Engineering Student s Perspective.
.- A Lightweight MQTT Protocol Security Analysis based on ML.
.- A Study of Artificial Intelligence and Machine Learning Techniques in Healthcare Systems.
.- An Innovative Collaborative Resource Sharing Platform.
.- Prediction of Heart Disease based on weighted combination of binary classifier.
.- A Review of AI-Based YOLO Approach for Sewage Monitoring.
.- Review of AI-enabled Intelligent Manufacturing: Present Situation and Prospects for the Future.
.- Computational Intelligent Algorithms in Smart Energy Management System for Load Forecasting: A Systematic Review.
.- Deep Learning Models: Transformative Potential of AI in Healthcare.
.- Explainable DenseNet201 and CNN for Automated Guava Disease Classification: A Comparative Analysis.
.- Decentralized KYC Consortium: A Blockchain-Based Approach for Secure and Collaborative Know Your Customer Processes in the Banking Sector.
.- Enhanced Legal Citation Recommendation via Clustered Judgment Networks and Contextual BiLSTM Models.
.- AI-Enhanced Personal Task Manager and Productivity Tracker.
