{"product_id":"aurona-gerber-artificial-intelligence-research-9783032117328","title":"Artificial Intelligence Research","description":".- Algorithmic and Data Driven AI.\n\u003cbr\u003e\n.- Which contextual topic modelling algorithm is the best?.\n\u003cbr\u003e\n.- Leveraging Language Models for Document Type Classification in Low-Resource Afrikaans Archives.\n\u003cbr\u003e\n.- Hybrid Automatic Modulation Classification for Increased Robustness under White-Box Adversarial Attacks.\n\u003cbr\u003e\n.- Counterfactual Explanation Model for Personalised Dietary Interventions in Anaemia Patients.\n\u003cbr\u003e\n.- Feature extraction for plant growth estimation.\n\u003cbr\u003e\n.- Exploring the impact of different loss functions for anomaly prediction in a mineral processing plant.\n\u003cbr\u003e\n.- Modifying class distributions to improve the classification of minority group examples in a class-imbalanced dataset.\n\u003cbr\u003e\n.- Evaluating OCR performance on food packaging labels in South Africa.\n\u003cbr\u003e\n.- Investigating the Impact of Multilingual Pre-trained Speech Models on Gender Bias in ASR for Low Resource African Languages.\n\u003cbr\u003e\n.- A Two Stage Pipeline for Automated Caries Detection on Single Tooth Images from Panoramic Radiographs.\n\u003cbr\u003e\n.- Exploring syllable similarity across South African languages through self-supervised speech representation.\n\u003cbr\u003e\n.- Data Pruning: Redundant, Problematic, and Interdependent Samples.\n\u003cbr\u003e\n.- Restoring Neural Network Plasticity for Faster Transfer Learning.\n\u003cbr\u003e\n.- AfroXLMR-Comet: Multilingual Knowledge Distillation with Attention Matching for Low-Resource Languages.\n\u003cbr\u003e\n.- Code-Switch Pretraining for Improved Cross-Lingual Alignment in Low-Resource Languages.\n\u003cbr\u003e\n.- Identification of Social Media Users that Perpetuate Xenophobic Attitudes and Hate Speech Narratives in South Africa.\n\u003cbr\u003e\n.- HAPI-FedProx: Heterogeneity-Aware Adaptive Proximal Optimization for Federated Learning.\n\u003cbr\u003e\n.- Fog-Based Deep Learning for Real-Time Cold Chain Temperature Prediction Using IoT Data.\n\u003cbr\u003e\n.- Robust Driver Distraction Recognition via Lightweight Body-Part Association and Object Context on NVIDIA Jetson.\n\u003cbr\u003e\n.- Nearest-Class Mean and Logits Agreement for Wildlife Open-Set Recognition.\n\u003cbr\u003e\n.- Semi-Supervised Object Segmentation via Active Learning for Efficient Ecological Monitoring.\n\u003cbr\u003e\n.- Scaling behavior of Encoder Language Models in Low-Resource Settings.\n\u003cbr\u003e\n.- Enhancing Target Re-Identification via Model Fusion and Knowledge Distillation of Pre-trained Foundation Models.\n\u003cbr\u003e\n.- Heart Disease Prediction: A Comparative Study of Optimizers’ Performance in Deep Neural Networks.\n\u003cbr\u003e\n.- Socio-technical and Human-Centred AI.\n\u003cbr\u003e\n.- AI-Enabled Cybersecurity Implementation: A Case Study of Critical Success Factors in a South African SOE.\n\u003cbr\u003e\n.- Large Language Model Evaluation: From Model-Centric Benchmarks to System-Level Metrics.\n\u003cbr\u003e\n.- Exploring Postgraduate Students’ Use and Perceptions of Generative AI as a Research Support Tool: A South African Case.\n\u003cbr\u003e\n.- An Awareness Framework for Sustainable Selection of LLMs in Business.\n\u003cbr\u003e\n.- Synthesizing Insights from AI in Africa: A Comprehensive Qualitative Analysis.\n\u003cbr\u003e\n.- Factors influencing the use of Autonomous Vehicles on Traditional Road Infrastructure in The Western Cape.\n\u003cbr\u003e\n.- An Agentic LLM-Powered Framework for Cholera Risk Prediction and Actionable Insights from Explainable ML and Statistical Insights.\n\u003cbr\u003e\n.- A Scoping Review on Generative AI prompting to optimize the workflow of healthcare professionals in sub-Saharan Africa.\n\u003cbr\u003e\n.- Detection Of Power Line Insulator Defects Using YOLOv10-N.\n\u003cbr\u003e\n.- Responsible and Ethical AI.\n\u003cbr\u003e\n.- Artificially Generated Minorities (AGMs): The Veneer of Algorithmic Bias Correction.\n\u003cbr\u003e\n.- Under-resourced and over-reseached: The ELSA approach to transdisciplinary AI research in low-trust neighborhoods.\n\u003cbr\u003e\n.- From Principles to Practice: Extracting Human-Centred AI Components from Governance Frameworks.","brand":"Springer","offers":[{"title":"Default Title","offer_id":53811298632022,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":false}],"url":"https:\/\/www.momoxbooks.com\/products\/aurona-gerber-artificial-intelligence-research-9783032117328","provider":"momoxbooks","version":"1.0","type":"link"}