Emerging Technology and Sustainable Solutions (eBook, PDF)

Second International Conference, ICETSS 2024, Punjab, India, October 8-9, 2024, Proceedings, Part I
Redaktion: Pal, Shantanu; Kumar, Amit; Gupta, Isha; Malhotra, Shivani

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 454
• Erscheinungstermin: 1. Januar 2026
• Englisch
• ISBN-13: 9783032114884
• Artikelnr.: 76269316

Inhaltsangabe

.- 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.