AVE Trends in Intelligent Computer Letters
2025 Vol.1 No.2

ISSN: 3069-1095


Editor: Dahlan Abdullah

Pages Title and author(s)
51-61 Scalable Machine Learning Approaches for Real-Time Big Data Processing in IoT Networks Anjan Kumar Reddy Ayyadapu Keywords: Parallel Processing; Real-Time Processing; Big Data; Scalable Machine Learning; Edge Computing; Analytics Systems; Online Learning; Smart Infrastructure; Energy Usage. DOI: 10.64091/ATICL.2025.000146
62-72 Advancing Connectivity: Research Insights into 5G Wireless Technologies Devesh Kumar, K. Chitra, P. Paramasivan, S. Suman Rajest, M. Mohamed Sameer Ali, M. Rehena Sulthana Keywords: 5G Wireless Technology; GDP Per Capita; Low-Latency Secure; Random Forest; Gradient Boosting; International Connectivity; Massive Connectivity; Technology Advancements. DOI: 10.64091/ATICL.2025.000147
73-85 Analyzing Aortic Root Dimension using Machine Learning K. R. Chaithra, Sreeja Rajesh, T. Shreekumar Keywords: Quantum Segmentation; Convolutional Neural Network; Multimodal Fusion; Aortic Measurement; Active Learning; Real-Time Visualisation; CNN Model; Matthews Correlation Coefficient (MCC). DOI: 10.64091/ATICL.2025.000148
86-94 Frameworks in Web Development: Comparative Insights on Innovation, Maintainability, and Project Efficiency Srinidhi Kulkarni, Manjula Sanjay Koti, S. Priyadarshini, G. Rajasekaran, Prasanna Ranjith Christodoss Keywords: Back-End Frameworks; Front-End Frameworks; Performance Analysis; Software Engineering; Web Development; Framework Performance Benchmark (FPB); Open-Source Community. DOI: 10.64091/ATICL.2025.000149
95-103 Machine Learning Approach for Cyberbullying Identification: A Gradient Boosting and Flask-Based Implementation D. Ujwal, Manjula Sanjay Koti, Rejwan Bin Sulaiman Keywords: Cyberbullying Identification (CI); Gradient Booster; Hyperparameter Fine-Tuning; Flask Framework; Machine Learning; Cyberbullying Detection; Natural Language Toolkit (NLTK). DOI: 10.64091/ATICL.2025.000150