Buch, Englisch, 256 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 411 g
Second International Conference, APANConf 2024, Islamabad, Pakistan, August 26-30, 2024, Revised Selected Papers
Buch, Englisch, 256 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 411 g
Reihe: Communications in Computer and Information Science
ISBN: 978-3-031-89812-9
Verlag: Springer International Publishing
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
.- 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.
