Safe, Secure, Ethical, Responsible Technologies and Emerging Applications

First EAI International Conference, SAFER-TEA 2023, Yaoundé, Cameroon, October 25-27, 2023, Proceedings

AvFranklin Tchakounte,Marcellin Atemkeng

Häftad, Engelska, 2024

Del 566 i serien Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2024-04-18
Mått:155 x 235 x 24 mm
Vikt:645 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Antal sidor:410
Förlag:Springer International Publishing AG
ISBN:9783031563959

Utforska kategorier

Nätverk och kommunikation inom Data och IT
Hårdvara inom Data och IT
Tillämpad datateknik inom Data och IT

Innehållsförteckning

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.

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