Artificial Intelligence Research

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

Aurona Gerber, Anban W. Pillay (Herausgeber)

Buch | Softcover

XXII, 590 Seiten

2025
Springer International Publishing (Verlag)
978-3-032-11732-8 (ISBN)

Infos

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.

 

Inhalt

.- 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-resou

Produkt-Details

• Erscheinungsdatum: 29.11.2025
• Reihe/Serie: Communications in Computer and Information Science
• Zusatzinfo: XXII, 590 p. 116 illus., 103 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Maße: 155 x 235 mm
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Schlagworte: Artificial Intelligence • Cybersecurity & Data Privacy • Data Science & Information Systems • Health Informatics & Digital Healthcare • Human-Computer Interaction & Immersive Technologies (VR/AR) • Internet of Things (IoT) & Cloud Computing • machine learning • Natural Language Processing & Large Language Models • Societal Impact of Computing & Digital Inclusion • Software Engineering & Agile Development • Technology in Education & Digital Literacy
• ISBN-10: 3-032-11732-1 / 3032117321
• ISBN-13: 978-3-032-11732-8 / 9783032117328
• Zustand: Neuware