Atjaunināt sīkdatņu piekrišanu

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

  • Formāts - EPUB+DRM
  • Cena: 94,58 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Ielikt grozā
  • Pievienot vēlmju sarakstam
  • Šī e-grāmata paredzēta tikai personīgai lietošanai. E-grāmatas nav iespējams atgriezt un nauda par iegādātajām e-grāmatām netiek atmaksāta.

DRM restrictions

  • Kopēšana (kopēt/ievietot):

    nav atļauts

  • Drukāšana:

    nav atļauts

  • Lietošana:

    Digitālo tiesību pārvaldība (Digital Rights Management (DRM))
    Izdevējs ir piegādājis šo grāmatu šifrētā veidā, kas nozīmē, ka jums ir jāinstalē bezmaksas programmatūra, lai to atbloķētu un lasītu. Lai lasītu šo e-grāmatu, jums ir jāizveido Adobe ID. Vairāk informācijas šeit. E-grāmatu var lasīt un lejupielādēt līdz 6 ierīcēm (vienam lietotājam ar vienu un to pašu Adobe ID).

    Nepieciešamā programmatūra
    Lai lasītu šo e-grāmatu mobilajā ierīcē (tālrunī vai planšetdatorā), jums būs jāinstalē šī bezmaksas lietotne: PocketBook Reader (iOS / Android)

    Lai lejupielādētu un lasītu šo e-grāmatu datorā vai Mac datorā, jums ir nepieciešamid Adobe Digital Editions (šī ir bezmaksas lietotne, kas īpaši izstrādāta e-grāmatām. Tā nav tas pats, kas Adobe Reader, kas, iespējams, jau ir jūsu datorā.)

    Jūs nevarat lasīt šo e-grāmatu, izmantojot Amazon Kindle.

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.