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.
