Asia Pacific Advanced Network (eBook, PDF)

Second International Conference, APANConf 2024, Islamabad, Pakistan, August 26-30, 2024, Revised Selected Papers
Redaktion: Herath, Damayanthi; Bandaranayake, Asitha; Ragel, Roshan; Ahmad, Jamil; Ul Islam, Ihtesham; Jayasinghe, Upul

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 256
• Erscheinungstermin: 25. April 2025
• Englisch
• ISBN-13: 9783031898136
• Artikelnr.: 73971427

Inhaltsangabe

.- 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.