336
Publications
1035
Auteurs uniques
3
Pays représentés
Afrique du SudGhanaÉthiopie
Publications
336 publication(s) trouvée(s)
Article scientifique
Large Scale Knowledge Graph Representation Learning
Abstract The knowledge graph emerges as powerful data structures that provide a deep representation and understanding of the knowledge presented …
Rapport d'évaluation
Review of: "Conceptualizing Predictive Conceptual Model for Unemployment Rates in the Implementation of Industry 4.0: Exploring Machine Learning Techniques"
Article scientifique
Enhancing Intrusion Detection in Mobile Ad-Hoc Networks: Comparative Study of Behavioral IDSs
Abstract With an emphasis on behavioral intrusion detection systems [BIDSs], this study investigates the field of intrusion detection in mobile …
Article scientifique
Enhancing industrial decision-making through ML-integrated frameworks and multi-criteria decision-making approach
Abstract Decision-making in contemporary industrial settings has evolved from intuition to data-driven methodologies, necessitating efficient handling of vast datasets. Conventional …
Article scientifique
Derivation and Validation of a Clinical Predictive Model for Longer Duration Diarrhea among Pediatric Patients in Kenya using Machine Learning Algorithms
Article scientifique
Active transfer learning for audiogram estimation
Computational audiology (CA) has grown over the last few years with the improvement of computing power and the growth of …
Article scientifique
Predicting Cryptocurrency Prices during Periods of Conflict: A Comparative Sentiment Analysis Approach Using SVM, CNN-LSTM, and PySentimento
Abstract Sentiment analysis is a powerful tool for extracting valuable insights from social media data. In this paper, more than …
Article scientifique
Some Notes on the Consequences of Pretreatment of Multivariate Data
Abstract Before performing certain statistical or machine learning techniques(e.g., regression analysis, clustering, classification, neural networks, principal components analysis, factor analysis, …
Article scientifique
Sentiment Analysis in Times of Crisis: Evaluating SVM, CNN-LSTM, and Psyntimiento
Abstract Sentiment analysis is a powerful tool for extracting valuable insights from social media data. In this paper, more than …
Article scientifique
A new hybrid approach based on probability distribution and an improved machine learning for multivariate risk assessment
A highly complex dynamic non-linear reactor is the blast furnace iron manufacturing system.It has possible dangers, including carbon monoxide, wide …
Article scientifique
Enhancing machine learning-based sentiment analysis through feature extraction techniques
A crucial part of sentiment classification is featuring extraction because it involves extracting valuable information from text data, which affects …
Article scientifique
Machine learning for detecting fake accounts and genetic algorithm-based feature selection
Abstract People rely extensively on online social networks (OSNs) in Africa, which aroused cyber attackers’ attention for various nefarious actions. …
Article scientifique
Harnessing machine learning to find synergistic combinations for FDA-approved cancer drugs
Combination therapy is a fundamental strategy in cancer chemotherapy. It involves administering two or more anti-cancer agents to increase efficacy …
Rapport d'évaluation
Review of: "Machine Learning Methods in Algorithmic Trading: An Experimental Evaluation of Supervised Learning Techniques for Stock Price"
Potential competing interests: No potential competing interests to
Article scientifique
Cervical precancerous lesion and cancer detection on Pap smear image using machine learning algorithm
Abstract Cervical cancer is the second most common cancer in women globally, it is the leading cause of female death, …
Article scientifique
EnsembleBBB: Enhanced accuracy in predicting drug blood-brain barrier permeability with a Machine Learning Ensemble model
Abstract The blood-brain barrier (BBB) serves as a selective and semi-permeable barrier, crucial for maintaining homeostasis within the central nervous …
Article scientifique
Machine Learning-Based Short-Term Solar Power Forecasting: A Comparison Between Regression and Classification Approaches Using Extensive Australian Dataset
Article scientifique
K-Means Clustering algorithms in Urban studies: A Review of Unsupervised Machine Learning techniques
In years there has been an increase, in the interest surrounding the utilization of unsupervised machine learning methods, particularly the …
Article scientifique
Prediction of malaria positivity using patients’ demographic and environmental features and clinical symptoms to complement parasitological confirmation before treatment
BACKGROUND: Current malaria diagnosis methods that rely on microscopy and Histidine Rich Protein-2 (HRP2)-based rapid diagnostic tests (RDT) have drawbacks …
Rapport d'évaluation
Review of: "Exploring machine learning techniques to develop predictive models to address unemployment rates in the implementation of Industry 4.0"