Towards new e-Infrastructure and e-Services for Developing Countries

16th International Conference, AFRICOMM 2024, Abidjan, Côte d'Ivoire, November 27-29, 2024, Proceedings, Part II
Herausgegeben:koné, Tiémoman; Sere, Abdoulaye; Kouamé, Koffi Fernand

• Broschiertes Buch

Produktbeschreibung

This two-volume set LNICST652-653 constitutes the refereed proceedings of the EAI 16th International Conference on International Conference on Towards new e-Infrastructure and e-Services for Developing Countries, AFRICOMM 2024, which took place in Abidjan, Côte d Ivoire, in November 2024.
The 52 full papers presented in this volume were carefully reviewed and selected from 130 submissions. They are organised in the following topics:
Part I : E- Government AND E-Service; Emerging Network; and Cybersecurity.
Part II : Big Data Analytic, Blockchain / Workshop - Emerging Tehnologies / PHD; Artificial Intelligence and Machine Learning Applications.

Produktdetails

• Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Enginee
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 89559452, 978-3-032-01909-7
• Seitenzahl: 372
• Erscheinungstermin: 21. September 2025
• Englisch
• Abmessung: 235mm x 155mm
• ISBN-13: 9783032019097
• ISBN-10: 3032019095
• Artikelnr.: 74821454

Inhaltsangabe

.- BIG DATA ANALYTIC, BLOCKCHAIN / WORKSHOP - EMERGING TECHNOLOGIES / PHD.

.- A New Approach to Matching Big Data Sources in a Semi-structured Data Warehouse Context.

.- Web Scraping for Competitive Intelligence: State of the Art and Case Study.

.- Financial Cost sensitive Feature Selection Method based on Association rule applied to credit scoring.

.- Blockchain as an Alternative for Transparency and Optimal Handling of Microcredits in the Democratic Republic of Congo.

.- Improving smart contract security using sequential models.

.- The limit of direct modulation in an FTTH/GPO architecture.

.- ARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING (ML) APPLICATIONS.

.- Impact of climate in modeling the evolution of COVID-19 cases in Côte d Ivoire.

.- Preventing Typosquatting with IDN Conversion: A Siamese Neural Network Approach.

.- Enhancing LoRaWAN Network Performance with Reinforcement Learning: Mitigating Collisions and Reducing Energy Consumption.

.- Detection and Treatment of Various Rice Diseases in Benin Using AI: From Bibliometric Analysis to Survey.

.- An Edge-AI-Based Monitoring of Rift Valley Fever Vectors Using Deep Learning.

.- Detection of malicious Android applications based on verification of indicators of compromise and Machine Learning techniques.

.- Two Phases Feature Selection Method based on Association Rules.

.- Stationary Wavelet Transform Based Watermarking for Telemedicine Image Security.

.- Exploring Human personality traits in Phishing Success: Contextual Cybersecurity Study.

.- Optimizing Real-time Video Analytics for Resource Constrained Environments.

.- A New Convolutional Neural Network Approach for Image Classification.

.- Text-to-OWL: Automated Ontology Construction for Tuberculosis Treatment Recommendation using Generative AI.

.- Using A Bidirectional Decoder Model with Attention Mechanisms for Biomedical Named Entity Recognition.

.- Detection of COVID-19 using machine learning techniques.

.- Text mining-based approach for extracting thematic keywords from a corpus of French-language documents in order to enrich a lexicon related to food security.

.- Improving web user tracking systems through browser fingerprinting.

.- Monitoring the Compliance and Response to the COVID-19 Lockdown in South Africa, and Analysing the Impact thereof.

.- Regression Model-based energy prediction approach for IoT Oriented system.