My Account Log in

1 option

Safe, Secure, Ethical, Responsible Technologies and Emerging Applications : First EAI International Conference, SAFER-TEA 2023, Yaoundé, Cameroon, October 25-27, 2023, Proceedings / edited by Franklin Tchakounte, Marcellin Atemkeng, Rajeswari Pillai Rajagopalan.

Springer Nature - Springer Computer Science eBooks 2024 English International Available online

View online
Format:
Book
Author/Creator:
Tchakounte, Franklin.
Contributor:
Atemkeng, Marcellin.
Rajagopalan, Rajeswari Pillai.
Series:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 1867-822X ; 566
Language:
English
Subjects (All):
Computer networks--Security measures.
Computer networks.
Application software.
Data protection.
Mobile and Network Security.
Computer and Information Systems Applications.
Data and Information Security.
Computer Communication Networks.
Local Subjects:
Mobile and Network Security.
Computer and Information Systems Applications.
Data and Information Security.
Computer Communication Networks.
Physical Description:
1 online resource (420 pages)
Edition:
1st ed. 2024.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Summary:
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.
Contents:
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. .
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
9783031563966
3031563964
OCLC:
1430685780

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account