Emerging Technologies in Computing
Springer International Publishing (Verlag)
978-3-031-92624-2 (ISBN)
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 15 16, 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
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.
| Erscheinungsdatum | 18.07.2025 |
|---|---|
| Reihe/Serie | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Zusatzinfo | XIV, 282 p. 134 illus., 100 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Schlagworte | Artificial Intelligence (AI) • Big Data Analytics • Blockchain • Cloud Computing • communications engineering & vehicular technology • cyber security • Data Mining • Expert Systems • Internet-of-things (IoT) • wireless sensor networks |
| ISBN-10 | 3-031-92624-2 / 3031926242 |
| ISBN-13 | 978-3-031-92624-2 / 9783031926242 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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