Pan-African Conference on Artificial Intelligence
Springer International Publishing (Verlag)
978-3-031-57638-6 (ISBN)
The 29 papers were thoroughly reviewed and selected from 134 submissions.
The papers are organized in the following topical sections: Medical AI; Natural Language Processing, Text and Speech Processing; AI in Finance and Cyber Security; Autonomous Vehicles; AI Ethics and Life Sciences.
Machine learning based stroke segmentation and classification from CT-Scan: A survey.- Multitask Deep Convolutional Neural Network with Attention for Pulmonary Tuberculosis Detection and Weak Localization of Pathological Manifestations in Chest X-ray.- Automated Kidney Segmentation and Disease Classification Using CNN-based Models.- Generating Synthetic Brain Tumor Data using StyleGAN3 For Lower Class Enhancement.- Optimized Machine Learning models for hepatitis C prediction: Leveraging Optuna for Hyperparameter Tuning and Streamlit for Model deployment.- Explainable Rhythm-based Heart Disease Detection from ECG Signals.- Development of an Explainable Heart Failure Patients Survival Status Prediction Model Using Machine Learning Algorithms .- Natural Language Processing, Text and Speech Processing.- Transfer of models and resources for under-resourced languages Semantic Role Labeling.- Speaker Identification under Noisy Conditions using Hybrid Deep Learning Model.- State-of-the-Art Approaches to Word Sense Disambiguation: A Multilingual Investigation.- Ge'ez Syntax Error Detection Using Deep Learning Approaches.- Tigrinya End-to-End Speech Recognition: A Hybrid Connectionist Temporal Classification-Attention Approach.- DNN-based Supervised Spontaneous Court Hearing Transcription for Amharic.- Typewritten OCR Model for Ethiopic Characters.- Compressed Amharic Text: A Prediction by Partial Match Context-modeling Algorithm.- AI in Finance and Cyber Security.- Improving the Accuracy of Financial Bankruptcy Prediction using Ensemble Learning Techniques.- Deep Learning and Machine Learning Techniques for Credit Scoring: A Review.- MoMTSim Platform.- An Investigation and Analysis of Vulnerabilities Surrounding Cryptocurrencies and Blockchain Technology.- Towards a Supervised Machine Learning Algorithm for Cyberattacks Detectionand Prevention in a Smart Grid Cybersecurity System.- Classification of DGA-Based Malware Using Deep Hybrid Learning.- A Review and Analysis of Cybersecurity Threats and Vulnerabilities, by Development of a Fuzzy Rule-Based Expert System.- Autonomous Vehicles.- Neural Network Based Model Reference Adaptive Control of Quadrotor UAV for Precision Agriculture.- AI Ethics and Life Sciences.- Systems Thinking Application to Ethical and Privacy Considerations in AI-Enabled Syndromic Surveillance Systems: Requirements for Under-Resourced Countries in Southern Africa.- Fake vs. Real Face Discrimination Using Convolutional Neural Networks.- Hybrid of Ensemble Machine Learning and Nature-Inspired Algorithms.
| Erscheinungsdatum | 10.04.2024 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | XVI, 266 p. 116 illus., 104 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | AI ethics • AI in cybersecurity • ai strategy • Artificial Intelligence • Autonomous Systems • classification • Deep learning • Dynamic systems • efficient dataset generation • financial AI technologies • generative AI • Healthcare • Human-Machine Interaction • Image Processing • Intelligent Systems • Medical AI • Natural Language Processing • Robotics |
| ISBN-10 | 3-031-57638-1 / 3031576381 |
| ISBN-13 | 978-3-031-57638-6 / 9783031576386 |
| Zustand | Neuware |
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