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Gerber / Pillay | Artificial Intelligence Research | Buch | 978-3-032-11732-8 | www2.sack.de

Buch, Englisch, 590 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

Gerber / Pillay

Artificial Intelligence Research

6th Southern African Conference, SACAIR 2025, Cape Town, South Africa, December 1–5, 2025, Proceedings
Erscheinungsjahr 2025
ISBN: 978-3-032-11732-8
Verlag: Springer

6th Southern African Conference, SACAIR 2025, Cape Town, South Africa, December 1–5, 2025, Proceedings

Buch, Englisch, 590 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

ISBN: 978-3-032-11732-8
Verlag: Springer


This book constitutes the refereed proceedings of the 6th Southern African Conference on Artificial Intelligence Research, SACAIR 2025, held in Cape Town, South Africa, during December 1–5, 2025.

The 36 full papers presented in this volume were carefully reviewed and selected from 150 submissions.The papers are organized into the following topical sections: Algorithmic and Data Driven AI; Socio-technical and Human-Centred AI; and Responsible and Ethical AI.

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Weitere Infos & Material


.- Algorithmic and Data Driven AI.

.- Which contextual topic modelling algorithm is the best?.

.- Leveraging Language Models for Document Type Classification in
 Low-Resource Afrikaans Archives.

.-  Hybrid Automatic Modulation Classification for Increased Robustness
 under White-Box Adversarial Attacks.

.- Counterfactual Explanation Model for Personalised Dietary
 Interventions in Anaemia Patients.

.- Feature extraction for plant growth estimation.

.- Exploring the impact of different loss functions for anomaly prediction
 in a mineral processing plant.

.- Modifying class distributions to improve the classification of minority
 group examples in a class-imbalanced dataset.

.- Evaluating OCR performance on food packaging labels in South Africa.

.- Investigating the Impact of Multilingual Pre-trained Speech Models on
 Gender Bias in ASR for Low Resource African Languages.

.- A Two Stage Pipeline for Automated Caries Detection on Single Tooth
 Images from Panoramic Radiographs.

.- Exploring syllable similarity across South African languages through
 self-supervised speech representation.

.- Data Pruning: Redundant, Problematic, and Interdependent Samples.

.- Restoring Neural Network Plasticity for Faster Transfer Learning.

.- AfroXLMR-Comet: Multilingual Knowledge Distillation with Attention
 Matching for Low-Resource Languages.

.- Code-Switch Pretraining for Improved Cross-Lingual Alignment in
 Low-Resource Languages.

.- Identification of Social Media Users that Perpetuate Xenophobic
 Attitudes and Hate Speech Narratives in South Africa.

.- HAPI-FedProx: Heterogeneity-Aware Adaptive Proximal Optimization
 for Federated Learning.

.- Fog-Based Deep Learning for Real-Time Cold Chain Temperature
 Prediction Using IoT Data.

.-  Robust Driver Distraction Recognition via Lightweight Body-Part
 Association and Object Context on NVIDIA Jetson.

.- Nearest-Class Mean and Logits Agreement for Wildlife Open-Set
 Recognition.

.- Semi-Supervised Object Segmentation via Active Learning for Efficient
 Ecological Monitoring.

.- Scaling behavior of Encoder Language Models in Low-Resource Settings.

.- Enhancing Target Re-Identification via Model Fusion and
 Knowledge Distillation of Pre-trained Foundation Models.

.-  Heart Disease Prediction: A Comparative Study of Optimizers’
 Performance in Deep Neural Networks.

.-  Socio-technical and Human-Centred AI.

.- AI-Enabled Cybersecurity Implementation: A Case Study of Critical
 Success Factors in a South African SOE.

.- Large Language Model Evaluation: From Model-Centric Benchmarks
 to System-Level Metrics.

.-  Exploring Postgraduate Students’ Use and Perceptions of Generative
 AI as a Research Support Tool: A South African Case.

.-  An Awareness Framework for Sustainable Selection of LLMs in Business.

.- Synthesizing Insights from AI in Africa: A Comprehensive Qualitative
 Analysis.

.- Factors influencing the use of Autonomous Vehicles on Traditional
 Road Infrastructure in The Western Cape.

.- An Agentic LLM-Powered Framework for Cholera Risk Prediction and
 Actionable Insights from Explainable ML and Statistical Insights.

.- A Scoping Review on Generative AI prompting to optimize the
 workflow of healthcare professionals in sub-Saharan Africa.

.- Detection Of Power Line Insulator Defects Using YOLOv10-N.

.-  Responsible and Ethical AI.

.- Artificially Generated Minorities (AGMs): The Veneer of Algorithmic
 Bias Correction.

.- Under-resourced and over-reseached: The ELSA approach to
 transdisciplinary AI research in low-trust neighborhoods.

.- From Principles to Practice: Extracting Human-Centred AI
 Components from Governance Frameworks.



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