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Asia Pacific advanced network = second International Conference, APANConf 2024, Islamabad, Pakistan, August 26-30, 2024 : revised selected papers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Asia Pacific advanced network/ edited by Damayanthi Herath ... [et al.].
Reminder of title:	second International Conference, APANConf 2024, Islamabad, Pakistan, August 26-30, 2024 : revised selected papers /
remainder title:	APANConf 2024
other author:	Herath, Damayanthi.
corporate name:	International Conference on Asia Pacific Advanced Network
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	x, 256 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Computer networks - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-89813-6
ISBN:	9783031898136

Asia Pacific advanced network = second International Conference, APANConf 2024, Islamabad, Pakistan, August 26-30, 2024 : revised selected papers /
Asia Pacific advanced networksecond International Conference, APANConf 2024, Islamabad, Pakistan, August 26-30, 2024 : revised selected papers /[electronic resource] :APANConf 2024edited by Damayanthi Herath ... [et al.]. - Cham :Springer Nature Switzerland :2025. - x, 256 p. :ill. (some col.), digital ;24 cm. - Communications in computer and information science,24121865-0937 ;. - Communications in computer and information science ;2412..

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.

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.

ISBN: 9783031898136

Standard No.: 10.1007/978-3-031-89813-6doiSubjects--Topical Terms:

569849
Computer networks
--Congresses.

LC Class. No.: TK5105.5

Dewey Class. No.: 004.6

Asia Pacific advanced network = second International Conference, APANConf 2024, Islamabad, Pakistan, August 26-30, 2024 : revised selected papers /
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505 0 $a 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.
520 $a 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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