Emerging Technologies in Computing

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Geliefert zwischen Mi., 29.04.2026 und Do., 30.04.2026

Details

This book LNICST 623 constitutes the refereed conference proceedings of the 7th International Conference on Emerging Technologies in Computing, iCETiC 2024, held in Essex, UK, during August 1516, 2024.

The 17 full papers were carefully reviewed and selected from 58 submissions. The proceedings focus on topics such as

1) AI, Expert Systems and Big Data Analytics

2) Cloud, IoT and Distributed Computing


Inhalt

AI, Expert Systems and Big Data Analytics.- Fine-tuning Pre-trained Convolutional Neural Network Deep Transfer Learning for Brain Tumor Classification using Magnetic Resonance Images.- Convolutional neural network based offline handwritten text recognition using optimizer functions.- Automated Lung Cancer Detection from Histopathological Image Using Deep Neural Networks.- Advancing Predictive Maintenance Strategies through the Integration of Fourth Industrial Revolution (4IR) Technologies for Pressure Vessels and Pipelines in the Petrochemical Industry.- Identify User Intention for Recommendation using Chain-of-Thought Prompting in LLM.- Bitcoin Price Prediction (BTCPP) Framework Using Deep Learning Approach.- A Comprehensive Review of AI in Fashion.- A Survey of Natural Language Processing for Classification of Saudi Arabic Dialect: Advancements, Opportunities, and Challenges.- Performance Of Deep Neural Networks In Recognition Of Sign Language.- Enhancing Audio Deepfake Detection: A Study of Deep Learning Parameters.- Integrating Artificial Intelligence in English Language Classrooms: Enhancing English for Specific Purposes Education.- Cloud, IoT and Distributed Computing.- DDoS Cyberattacks in Smart Home IoT Networks and Common Mitigation Techniques.- Exploiting Efficiencies in IoT Key Exchanges Through Reversible Logic Blockchains.- A Smart Home DataBank: A Privacy-Preserving Solution for Smart Homes.- Role of IoT for Energy Monitoring and Energy Management System in Smart Renewable Energy Community: Concept, Need and Proposed Architecture.- Enhancing Wireless Sensor Network Security: A Markov Chain-Based Trust Management Algorithm.- Design of an Active CMOS Low Pass Filter for IoT-RFID Devices.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783031926242
    • Genre Information Technology
    • Editor Mahdi H. Miraz, Garfield Southall, Maaruf Ali, Andrew Ware
    • Lesemotiv Verstehen
    • Anzahl Seiten 282
    • Größe H16mm x B155mm x T235mm
    • Jahr 2025
    • EAN 9783031926242
    • Format Kartonierter Einband
    • ISBN 978-3-031-92624-2
    • Titel Emerging Technologies in Computing
    • Untertitel 7th EAI International Conference, iCETiC 2024, Essex, UK, August 15-16, 2024, Proceedings
    • Gewicht 453g
    • Herausgeber Springer
    • Sprache Englisch

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