Research in Computer Science and Its Applications

11th International Conference, CNRIA 2021, Virtual Event, June 17-19, 2021, Proceedings
Herausgegeben:Faye, Youssou; Gueye, Assane; Gueye, Bamba; Diongue, Dame; Nguer, El Hadji Mamadou; Ba, Mandicou

• Broschiertes Buch

Produktbeschreibung

This book constitutes the refereed post-conference proceedings of the 11th EAI International Conference on Research in Computer science and its Applications, CNRIA 2021, held in June 2021. Due to COVID-19 pandemic the conference was held virtually.
The 11 full papers presented were selected from 24 submissions and issue different problems in underserved and unserved areas. The papers are arranged in 3 tracks: data science and artificial intelligence; telecom and artificial intelligence; IoT and ICT applications.

Produktdetails

• Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Enginee
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-030-90555-2
• 1st ed. 2021
• Seitenzahl: 144
• Erscheinungstermin: 4. November 2021
• Englisch
• Abmessung: 235mm x 155mm x 9mm
• Gewicht: 230g
• ISBN-13: 9783030905552
• ISBN-10: 3030905551
• Artikelnr.: 62652305

Inhaltsangabe

Data science and Artificial Intelligence.- A Distributed Memory-Based Minimization of Large-Scale Automata Alpha Mouhamadou DIOP.- Short-Term Holt Smoothing Prediction Model of Daily COVID-19 Reported Cumulative Cases Ousseynou Mbaye.- Learning color transitions to extract senegalese license plates.- Intrusions detection and classification using Deep Learning approach.- Comparison study of vowels' formant of native and nonnative Arabic speakers.- Telecom & Artificial Intelligence 6 A new Strategy for Deploying a Wireless Sensor Network based on a Square-Octagon Pattern to Optimizes the Covered Area.- Frequency Reconfigurable UHF RFID Dipole Tag Antenna using a PIN diode.- Leveraging cloud inter-zone architecture for response time reduction.- IoT & ICT Applications.- eFarm-Lab: Edge AI-IoT Framework for Agronomic Labs Experiments.- Enhancing farmers productivity through IoT and Machine Learning: A state-of-the-art review of recent trends in Africa.- Mathematical modeling and proposal ofan architecture for the surveillance in the distance of similarly installations