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Safe, Secure, Ethical, Responsible Technologies and Emerging Applications: First EAI International Conference, SAFER-TEA 2023, Yaoundé, Cameroon, October 25-27, 2023, Proceedings 2024 ed. [Mīkstie vāki]

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Safe, Secure, Ethical, Responsible Technologies and Emerging Applications: First EAI International Conference, SAFER-TEA 2023, Yaoundé, Cameroon, October 25-27, 2023, Proceedings 2024 ed.Palielināt
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Keywords:
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.
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 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.