Kapak Resmi

Research in Computer Science 6th Conference, CRI 2023, Yaounde, Cameroon, December 12–13, 2023, Proceedings /

This book constitutes the refereed proceedings of the 6th Conference on Research in Computer Science, CRI 2023, held in Yaounde, Cameroon, during December 12-13, 2023. The 16 full papers included in this book were carefully reviewed and selected from 72 submissions. The CRI 2023 proceedings focus on...

Ful tanımlama

Kaydedildi:
Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Melatagia Yonta, Paulin (Editör), Barkaoui, Kamel (Editör), Ndoundam, René (Editör), Yenke, Omer-Blaise (Editör)
Materyal Türü: Elektronik Ekitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edisyon:1st ed. 2024.
Seri Bilgileri:Communications in Computer and Information Science, 2085
Konular:
Machine learning.
Natural language processing (Computer science).
Image processing.
Software engineering.
Computer networks > Security measures.
Machine Learning.
Natural Language Processing (NLP).
Image Processing.
Software Engineering.
Mobile and Network Security.
Online Erişim:https://doi.org/10.1007/978-3-031-63110-8
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
İçindekiler:
  • -- Convolutional neural network based detection approach of undesirable SMS (Short Message Service) in the Cameroonian context.
  • Time aware implicit social influence estimation to enhance recommender systems performances.
  • Analysis of COVID-19 coughs: From the mildest to the most severe form, a realistic classification using deep learning.
  • SLCDeepETC : An On-Demand Analysis Ready Data pipeline on Sentinel-1 Single Look Complex for Deep Learning.
  • Robusness of image classification on imbalanced datasets using capsules networks.
  • Application of the multilingual acoustic representation model XLSR-53 for the transcription of Ewondo.
  • Self-supervised and multilingual learning applied to the Wolof, Swahili and Fongbe.
  • Explaining Meta-learner’s Predictions: case of corporate CO2 emissions.
  • Building and validating an ontology for public procurement : The case of Cameroon.
  • A Hybrid Algorithm Based on Tabu Search and K-means for Solving The Traveling Salesman Problem.
  • Hybridization Of A Recurrent Neural Network By Quadratic Programming For Combinatory Optimization.
  • A New Hybrid Algorithm Based on Ant Colony and Neural Networks with Attention Mechanism for Solving the Traveling Salesman Problem.
  • Recurrent Neural Network Parallelization for Hate Messages Detection.
  • Two high capacity text steganography schemes based on color coding.
  • Integration of the triple block data security model based on distributed crypto-steganography in a distributed system.

Benzer Materyaller