06297nam a22006615i 4500 978-3-031-57639-3 DE-He213 20251030111814.0 cr nn 008mamaa 240410s2024 sz | s |||| 0|eng d 9783031576393 978-3-031-57639-3 10.1007/978-3-031-57639-3 doi Q334-342 TA347.A78 UYQ bicssc COM004000 bisacsh UYQ thema Pan-African Conference on Artificial Intelligence [electronic resource] : Second Conference, PanAfriCon AI 2023, Addis Ababa, Ethiopia, October 5–6, 2023, Revised Selected Papers, Part II / edited by Taye Girma Debelee, Achim Ibenthal, Friedhelm Schwenker, Yehualashet Megersa Ayano. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XVI, 266 p. 116 illus., 104 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Communications in Computer and Information Science, 1865-0937 ; 2069 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. This two-volume set, CCIS 2068 and 2069, constitutes selected papers presented during the Second Pan-African Conference on Artificial Intelligence, PanAfriCon AI 2023, held in Addis Ababa, Ethiopia, in October 2023. The set goal of the conference is to exchange the best practices of joint Pan-African efforts to provide solutions for Africa’s key 21st century challenges in the social, economic and ecologic domains. 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. Artificial intelligence. 58441 Machine learning. 55059 Robotics. 59148 Application software. Natural language processing (Computer science). 65131 Image processing Digital techniques. 64228 Computer vision. Artificial Intelligence. 58441 Machine Learning. 55059 Robotics. 59148 Computer and Information Systems Applications. Natural Language Processing (NLP). 66164 Computer Imaging, Vision, Pattern Recognition and Graphics. 65550 Debelee, Taye Girma. editor. (orcid)0000-0002-0876-2021 https://orcid.org/0000-0002-0876-2021 edt http://id.loc.gov/vocabulary/relators/edt 74812 Ibenthal, Achim. editor. (orcid)0009-0003-8713-8319 https://orcid.org/0009-0003-8713-8319 edt http://id.loc.gov/vocabulary/relators/edt 74813 Schwenker, Friedhelm. editor. edt http://id.loc.gov/vocabulary/relators/edt 74814 Megersa Ayano, Yehualashet. editor. edt http://id.loc.gov/vocabulary/relators/edt 74815 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031576386 Printed edition: 9783031576409 Communications in Computer and Information Science, 1865-0937 ; 2069 66508 https://doi.org/10.1007/978-3-031-57639-3 ZDB-2-SCS ZDB-2-SXCS 59068 59068