Safe, Secure, Ethical, Responsible Technologies and Emerging Applications
First EAI International Conference, SAFER-TEA 2023, Yaoundé, Cameroon, October 25-27, 2023, Proceedings
(Sprache: Englisch)
This book constitutes the refereed proceedings of the First EAI International Conference on Safe, Secure, Ethical, Responsible Technologies and Emerging Applications, SAFER-TEA 2023, held in Yaoundé, Cameroon, during October 25-27, 2023.
The 24 full...
The 24 full...
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Klappentext zu „Safe, Secure, Ethical, Responsible Technologies and Emerging Applications “
This book constitutes the refereed proceedings of the First EAI International Conference on Safe, Secure, Ethical, Responsible Technologies and Emerging Applications, SAFER-TEA 2023, held in Yaoundé, Cameroon, during October 25-27, 2023. The 24 full papers were carefully reviewed and selected from 75 submissions. They were organized in topical sections as follows: Regulations and Ethics of Artificial Intelligence, Resource-constrained Networks and Cybersecurity, Emerging Artificial Intelligence Applications, Reviews.
Inhaltsverzeichnis zu „Safe, Secure, Ethical, Responsible Technologies and Emerging Applications “
Regulations and Ethics of Artificial Intelligence.- Examining Potential Harms of Large Language Models(LLMs) in Africa.- The Legal Framework of Artificial Intelligence in Cameroon.- Resource-constrained Networks and Cybersecurity.- A Gamification Architecture to Enhance Phishing Awareness.- Improvement of Cloud-Assisted Identity-Based Anonymous Authentication and Key Agreement Protocol for Secure WBAN.- DIDOR: A Decentralized Identifier Based Onion Routing protocol.- Feature Analysis and Classification of Collusive Android App-Pairs Using DBSCAN Clustering Algorithm.- Feature Engineering Considerations in IoT: A Case Study.- Correlation clustering adapted for cell site management of mobile networks in developing countries.- A lightweight authenticated key agreement scheme for resource-constrained devices based on implicit certificates and finite graphs.- Emerging Artificial Intelligence Applications.- Machine and Deep Learning Models for the Prediction of Performance and Speed Regulation Parameters of a Turbojet Engine using Electric Power Transfer.- Advancing High-Resolution Weather Prediction through Machine Learning and GNSS Techniques.- French-Fulfulde Textless and cascading speech translation: towards a dual architecture.- Assessment of thermal comfort using PMV, aPMV, ePMV and TSV indices in a naturally ventilated building.- Classification Analysis of Some Cancer Types Using Machine Learning.- Development of an Intelligent Safety Monitoring Device for Train-Track System in Cameroon.- Towards a Flexible Urbanization Based Approach for Integration and Interoperability in Heterogeneous Health Information Systems: Case of Cameroon.- Food recommender system based on artificial intelligence :the case of Sub-saharan Africa.- Detection and Recognition of Cough Sounds Using Deep Learning for Medical Monitoring.- DeepAF: A Multi-task deep learning model for Arrhythmias detection at Resource-Constrained Mobile Device.- Wine features importance and
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quality prediction: A comparative study of machine learning algorithms with unbalanced data.- Covid-19 Data Preprocessing Approach in Machine Learning for Prediction.- Evaluation of machine learning and deeplearning algorithms applied to earth observation data for change detection in polarimetric radar images.- Reviews.- Machine Learning Techniques for the management of Diseases: A paper Review.- Support to Interaction between Medical Practitioners and Patients: A Systematic Review.
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Bibliographische Angaben
- 2024, 2024, XV, 410 Seiten, 144 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Franklin Tchakounte, Marcellin Atemkeng, Rajeswari Pillai Rajagopalan
- Verlag: Springer, Berlin
- ISBN-10: 3031563956
- ISBN-13: 9783031563959
Sprache:
Englisch
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