Asia Pacific Advanced Network
Description
This book constitutes the refereed proceedings of the Second International Conference on Asia Pacific Advanced Network, APANConf 2024, held in Islamabad, Pakistan, during August 26-30, 2024.
The 14 full papers and 1 short paper included in this book were carefully reviewed and selected from 56 submissions. These papers focus on Artificial Intelligence and Machine Learning, Computer Vision and Wireless Communications and Networks.
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Content
.- Deciphering Crop Dynamics: Leveraging Field Geometry for Precise Image Registration and Enhanced Insights.
.- SPOTifying the Sentinel-2 Imagery: Harnessing the Power of Attention in Real World Single Image Super-Resolution.
.- Enhanced Cephalometric Landmark Detection Using Multi-Scale Feature Learning and Heatmap Regression.
.- Optimizing Dental Education: Systematic Interaction Design and Evaluation of a Virtual Patient Simulator.
.- The Bug Hunt: Unveiling Insights through Mining and Analysis in Source Code.
.- Enhancing Code Search through Query Expansion: A Fusion of LSTM with GloVe and BERT Model (CSQE).
.- Machine Learning-Based Detection of Java Semantic Clones Using Low-Level Abstract Compiled Representation.
.- An Introduction to Bidirectional Recurrent Neural Networks in Forecasting Commodity Prices.
.- Analyzing and Predicting the Volatile Market Patterns for Trading in International Markets Using a Digital Twin.
.- Ground Water Level Forecasting using Artificial Neural Networks: An Industrial Case Study from Balasore, India.
.- An Explainable Machine Learning Approach for Early Prediction of Gestational Diabetes Mellitus (GDM).
.- Classification Of Diabetes According To Medical Indicators Using Machine Learning.
.- Peer-to-Peer Collaborative Learning Platform for Privacy-Preserved Federated Learning in Industrial Internet.
.- zkVML: Zero-Knowledge Verifiable Machine Learning.
