Safe, Secure, Ethical, Responsible Technologies and Emerging Applications First EAI International Conference, SAFER-TEA 2023, Yaoundé, Cameroon, October 25-27, 2023, Proceedings

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 7...

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Bibliographic Details
Other Authors: Tchakounte, Franklin (Editor), Atemkeng, Marcellin (Editor), Rajagopalan, Rajeswari Pillai (Editor)
Format: eBook
Language:English
Published: Cham Springer Nature Switzerland 2024, 2024
Edition:1st ed. 2024
Series:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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.
  • 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