First EAI International Conference, SAFER-TEA 2023, Yaoundé, Cameroon, October 25-27, 2023, Proceedings Tchakounte, Franklin. editor. edt http://id.loc.gov/vocabulary/relators/edt Atemkeng, Marcellin. editor. edt http://id.loc.gov/vocabulary/relators/edt Rajagopalan, Rajeswari Pillai. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

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access XV, 410 p. 172 illus., 144 illus. in color. online resource. 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. . edited by Franklin Tchakounte, Marcellin Atemkeng, Rajeswari Pillai Rajagopalan. Computer networks Security measures Application software Data protection Computer networks  Mobile and Network Security Computer and Information Systems Applications Data and Information Security Computer Communication Networks TK5105.59 9783031563966 https://doi.org/10.1007/978-3-031-56396-6 https://doi.org/10.1007/978-3-031-56396-6 240417 20251030112026.0 978-3-031-56396-6