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

Safe, Secure, Ethical, Responsible Technologies and Emerging Applications

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

Häftad, Engelska, 2024

AvFranklin Tchakounte,Marcellin Atemkeng,Rajeswari Pillai Rajagopalan

1 299 kr

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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

Utgivningsdatum2024-04-18
Mått155 x 235 x 24 mm
Vikt645 g
FormatHäftad
SpråkEngelska
SerieLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Antal sidor410
FörlagSpringer International Publishing AG
ISBN9783031563959

Tillhör följande kategorier

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

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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