8041
Publications
21371
Auteurs uniques
0
Pays représentés
Sous-domaines
Biostatistique
5 publication(s)
Mathématiques
2 publication(s)
Mathématiques appliquées
0 publication(s)
Probabilités
0 publication(s)
Recherche opérationnelle
6 publication(s)
Statistiques
51 publication(s)
Publications
8041 publication(s) trouvée(s)
Article scientifique
COMET-QE and Active Learning for Low-Resource Machine Translation
Active learning aims to deliver maximum benefit when resources are scarce. We use COMET-QE, a reference-free evaluation metric, to select …
Article scientifique
Dialect & Sentiment Identification in Nuanced Arabic Tweets Using an Ensemble of Prompt-based, Fine-tuned, and Multitask BERT-Based Models
Dialect Identification is important to improve the performance of various application as translation, speech recognition, etc. In this paper, we …
Article scientifique
Development strategies as catalysts for provision of the RDM services in the South African higher education institutions
A strategy in this paper was viewed as a plan of action for achieving the mission and vision of an …
Article scientifique
SAIDS: A Novel Approach for Sentiment Analysis Informed of Dialect and Sarcasm
Sentiment analysis becomes an essential part of every social network, as it enables decisionmakers to know more about users' opinions …
Article scientifique
Comparison of Metaheuristic Algorithms for Interface-Constrained Channel Assignment in a Hybrid Dynamic Spectrum Access – Wi-Fi Infrastructure WMN
In this work, we evaluate the application of four different metaheuristic optimisation algorithms for solving the channel assignment problem in …
Article scientifique
Efficient Occupancy Detection System Based on Neutrosophic Weighted Sensors Data Fusion
Recently, a great interest has been dedicated to improving data fusion techniques for indoor occupancy detection. Indoor occupancy detection is …
Article scientifique
Exploratory Analysis of Different Metaheuristic Optimization Methods for Medical Image Enhancement
Metaheuristic optimization algorithms (MOAs) are popularly deployed for medical image enhancement (MIE) purposes. However, with an ever-increasing rate of newer …
Article scientifique
Search Engines in Learning Contexts: A Literature Review
The web is one of the primary sources of information for finding learning oriented documents. In addition, the main suitable …
Article scientifique
Single-Point Crossover and Jellyfish Optimization for Handling Imbalanced Data Classification Problem
The imbalanced datasets and their classification has pulled in as a hot research topic over the years. It is used …
Article scientifique
1D Generalised Burgers-Huxley: Proposed Solutions Revisited and Numerical Solution Using FTCS and NSFD Methods
In this paper, we obtain the numerical solution of a 1-D generalised Burgers-Huxley equation under specified initial and boundary conditions, …
Article scientifique
Shadow Magnetic Hamiltonian Monte Carlo
Incorporating partial momentum refreshment into Magnetic Hamiltonian Monte Carlo (MHMC) to create Magnetic Hamiltonian Monte Carlo with partial momentum refreshment …
Article scientifique
Transfer Learning and Deep Metric Learning for Automated Galaxy Morphology Representation
Galaxy morphology characterisation is an important area of study, as the type and formation of galaxies offer insights into the …
Article scientifique
RL_QOptimizer: A Reinforcement Learning Based Query Optimizer
With the current availability of massive datasets and scalability requirements, different systems are required to provide their users with the …
Article scientifique
Evaluating Uses of Deep Learning Methods for Causal Inference
Logistic regression (LR) is a popular method that is used for estimating causal effects in observational studies using propensity scores. …
Article scientifique
COVID-19 data reporting systems in Africa reveal insights for future pandemics
Globally, countries have used diverse methods to report data during the COVID-19 pandemic. Using international guidelines and principles of emergency …
Article scientifique
BinHOA: Efficient Binary Horse Herd Optimization Method for Feature Selection: Analysis and Validations
In the domains of data mining and machine learning, feature selection (FS) is an essential preprocessing step that has a …
Article scientifique
Convolutional Neural Network-Based Technique for Gaze Estimation on Mobile Devices
Eye tracking is becoming a very popular, useful, and important technology. Many eye tracking technologies are currently expensive and only …
Article scientifique
The Impact of Serious Game on the Nursing Students' Learning, Behavioral Engagement, and Motivation
Digital game-based learning is a ludic approach that has evolved through the development of information and communication technologies (ICT), making …
Article scientifique
Improving Uncertainty in Chain of Custody for Image Forensics Investigation Applications
Cybercrime investigations rely heavily on digital evidence to establish links between suspects and the criminal conduct they are allegedly involved …
Article scientifique
Deep Learning Gated Recurrent Neural Network-Based Channel State Estimator for OFDM Wireless Communication Systems
Using deep learning technologies, the channel estimate for an orthogonal frequency division multiplexing system (OFDM) based on pilots is done …