Rajapakse / Ranasinghe / Pushpananda | Advances in ICT for Emerging Regions | Buch | 978-981-9201-36-5 | www.sack.de

Buch, Englisch, 488 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

Rajapakse / Ranasinghe / Pushpananda

Advances in ICT for Emerging Regions

25th International Conference, ICTer 2025, Colombo, Sri Lanka, November 19–20, 2025, Proceedings
Erscheinungsjahr 2026
ISBN: 978-981-9201-36-5
Verlag: Springer

25th International Conference, ICTer 2025, Colombo, Sri Lanka, November 19–20, 2025, Proceedings

Buch, Englisch, 488 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

ISBN: 978-981-9201-36-5
Verlag: Springer


This book constitutes the proceedings of the 25th International Conference, ICTer 2025, held in Colombo, Sri Lanka, on November 19–20, 2025.

The 21 full papers and 10 posters included in this volume were carefully reviewed and selected from 146 submissions. These contributions highlight advances in ICT aimed at addressing the key challenges and opportunities facing emerging regions.

Rajapakse / Ranasinghe / Pushpananda Advances in ICT for Emerging Regions jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


.- AI-Assisted Diagnostics and Medical Imaging.

.- A Hybrid Adaptive Segmentation Pipeline with NURBS Surface Reconstruction for 3D Liver Tumor Modeling.

.- An Explainable Deep Learning Framework for Gallbladder Disease Classification on Ultrasound Images.
.- Integrating U-Net Segmentation and TabNet Transfer Learning for Automated Melanoma Detection.
.- Early Detection and Severity Assessment of Dysgraphia in Sinhala-Speaking Children Using a Multi-Modal Machine Learning Approach.
.- Machine Learning-Based System to Predict Mental Illness Using Blood Biomarkers and Demographic Factors.
.- Deep tRF-Net: A Deep Learning Approach for Multi-Class Cancer Classification using tRNA Derived Fragments (tRF) Expression Patterns.
.- OWN-Layer Grad-CAM and PIPPC: An Occlusion-Weighted Multi-Layer Approach and a Faithfulness Metric for XAI in Medical.
.- An interpretable machine learning model to predict drug addiction among children in Sri Lanka.
.- MMAD: Multi-model Adversarial Defense for Medical Images.

.- Language, Speech, & Text Processing.
.- Adaptive Fluency and Pronunciation Assessment for Young English Learners in Sri Lanka.
.- Unified Detection of Generated Speech: Combining Audio Spectrogram and Text Analysis.
.- A Continual Learning Mechanism for Early Brahmi Inscription Translation with Deep Learning.
.- Creating Digital Estampages of Sri Lankan Stone Inscriptions using Multispectral Imaging.

.- Authorship Identification of Sinhala Poems Using Machine Learning Techniques.
.- Possible Distillation for Abstractive Summarization: Reducing Hallucination in Compact LLMs.

.- Environment & Sustainability.
.- A Real Time Decision Support System for Selected Commercial Seaweed Species in Sri Lanka: Species Identification, Quality Assessment, and an Ontology Driven Knowledge Database.
.- Identifying Three-Band Hyperspectral Composites That Outperform RGB for Floating Plastic Detection.
.- Integrated Machine Learning and Ontology-Based Approach for Sustainable Weed Management in Paddy Fields.
.- YOLOv8 for Nondestructive Black Pepper Impurity Detection.

.- Population & Behavioral Analytics.
.- Advanced Modeling of Inflation Dynamics in Sri Lanka: A Comparative Analysis of Statistical, Machine Learning, Deep Learning, and Hybrid Forecasting Approaches.
.- Work Sphere: A Multi-modal Approach to Employee Engagement Detection in Remote Work Environments with Explainable AI.
.- PoPStat–COVID19: Leveraging Population Pyramids to Quantify Demographic Vulnerability to COVID-19.

.- Sentiment, Music & Acoustic Processing.
.- Dynamic Music Harmonization via Interactive Machine Learning Methods and Genetic Algorithms.
.- Emotion in the Crowd: SLCSED and a MIR-Enhanced Machine Learning Pipeline.
.- Genetic Algorithm Based Deep Time Series Similarity Searching Approach for Acoustic Fingerprinting.

.- Systems, Security & Privacy.

.- Balancing Privacy and Performance in Federated Learning with Adaptive Differential Privacy and Secure Multi-Party Computation.
.- Matrix-Based Forecasting and Anomaly Detection Framework for Cloud VM Resource Monitoring.
.- Leveraging Unintentional Electromagnetic Emissions for Radio Tomographic Imaging.

.- Dataset Sensitivity and Scalability in RNN-Based V2X Intrusion Detection.

.- Beyond Charging: How Juice Jacking Enables Data Theft and Device Compromise in Android.
.- Smart Card Vulnerabilities in Sri Lanka: A Security Assessment Across Service Providers.



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