Girma Debelee / Ibenthal / Schwenker | Pan-African Conference on Artificial Intelligence | Buch | 978-3-032-05062-5 | www2.sack.de

Buch, Englisch, 342 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 540 g

Reihe: Communications in Computer and Information Science

Girma Debelee / Ibenthal / Schwenker

Pan-African Conference on Artificial Intelligence

Third Pan African Conference, PanAfriCon AI 2024, Addis Ababa, Ethiopia, October 8-9, 2024, Proceedings
Erscheinungsjahr 2025
ISBN: 978-3-032-05062-5
Verlag: Springer

Third Pan African Conference, PanAfriCon AI 2024, Addis Ababa, Ethiopia, October 8-9, 2024, Proceedings

Buch, Englisch, 342 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 540 g

Reihe: Communications in Computer and Information Science

ISBN: 978-3-032-05062-5
Verlag: Springer


This volume constitutes the proceedings of Third Pan-African Conference on Artificial Intelligence, PanAfriCon AI 2024, held in Addis Ababa, Ethiopia, during October 8–9, 2024.

The 15 full papers presented were thoroughly reviewed and selected from 66 submissions. They are organized in the following topical sections: Cyber Security; AI in Medical, Biology & Sociology; Audio and Image Interpretation;  AI in Engineering; and Natural Language Processing, Text and Speech Processing.

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Research

Weitere Infos & Material


.- Cyber Security.

.- Enhancing Cross-Site Scripting Attack Detection in Web Applications with a Hybrid CNN-BiLSTM and Online Learning Approach.

.- Detection and Classification of Bypass (SIMBox) Fraud Using Deep Learning: A Case Study on Ethio-Telecom of Ethiopia.

.- AI in Medical, Biology & Sciology.

.- Automatic Detection of Fruit's Spoilage Using Edge Devices.

.- Plant Disease Detection Using Digital Image Processing for Commonly Consumed Food Plants in Ethiopia: A Systematic Literature Review.

.- Systematic Review of Machine Learning Algorithms in Cystic Fibrosis Diagnosis.

.- Machine Learning Approaches for Predicting Gender Disparity in STEM Programs: Systematic Review.

.- Audio and Image Interpretation.

.- DeepFakesUG: Detecting Counterfeit Ugandan Banknotes Using Deep Learning.

.- Speaker Identification in Amharic Language Using Spectrogram Images: Exploring Deep Learning Techniques.

.- AI in Engineering.

.- A Survey on Task Offloading and Resource Provisioning Approaches in VFCNs.

.- Intelligent Fault Diagnosis Method for Bearings Using Deep Transfer Learning on Time-Series Vibration Data Under Varying Load Conditions.

.- Natural Language Processing, Text and Speech Processing.

.- Neural Machine Translation for Afaan Oromo - Amharic Language Pair Using Transformer and RNN (LSTM) Models.

.- Automatic Amharic-Tigrigna Translation Using Statistical Machine Translation Approach.

.- Developing Bidirectional English-Anuak Machine Translation using a Deep Learning Approach.

.- Automating Table of Contents Structuring: Leveraging GPT-3.5 and Donut for Efficient Document Indexing.

.- Semantically Corrected Amharic Automatic Speech Recognition.



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