Pan-African Conference on Artificial Intelligence : Third Pan African Conference, PanAfriCon AI 2024, Addis Ababa, Ethiopia, October 8-9, 2024, Proceedings (Communications in Computer and Information Science)

Girma Debelee, Taye (EDT)/ Ibenthal, Achim (EDT)/ Schwenker, Friedhelm (EDT)

Springer Nature Switzerland AG（2025/11発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 342 p.
• 言語 ENG
• 商品コード 9783032050625

Description

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.

.- 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.