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Produktbild: Advances in ICT for Emerging Regions
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Advances in ICT for Emerging Regions 25th International Conference, ICTer 2025, Colombo, Sri Lanka, November 19–20, 2025, Proceedings

Aus der Reihe Communications in Computer and Information Science
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68,99 € UVP 76,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

13.07.2026

Abbildungen

XVIII, 488 p. 201 illus., 175 illus. in color.

Herausgeber

Roshan N. Rajapakse + weitere

Verlag

Springer Singapore

Seitenzahl

488

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

762 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9201-36-5

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

13.07.2026

Abbildungen

XVIII, 488 p. 201 illus., 175 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

488

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

762 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9201-36-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Advances in ICT for Emerging Regions
  • .- 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.