• 
• 
• 
• Browse by Subjects
• Publications A-Z index

1.

Cybersecurity Data Sources and Practices Cheryl Ann Alexander, Lidong Wang Journal of Computer Networks. 2024 12 (1). doi: 10.12691/jcn-12-1-1 Keywords: cybersecurity, network, offense data, defense data, Internet of things (IoT), Internet of medical things (IoMT), artificial intelligence (AI), Machine Learning (ML) , healthcare Context: ... such huge amounts of data are necessary and key to threat detection and cybersecurity. Currently, artificial intelligence (AI)/Machine Learning (ML) , and cyber automation help to process these huge amounts of data, however, much of the data is unstructured and unlabele... Abstract Full Text (PDF) [Epub] Full Text (HTML)

2.

Machine Learning Modeling to Predict COVID seropositivity; AI for Pandemic Preparedness Apeksha Mewani, Vincent Jones II, Alejandro Sanchez American Journal of Epidemiology and Infectious Disease. 2025 13 (1). doi: 10.12691/ajeid-13-1-2 Keywords: COVID-19, Machine learning, emergency preparedness, predictive modeling, seropositivity, health education Context: This study determines the best Machine Learning (ML) models to predict the most accurate results in COVID-19 seropositivity using existing data. The study used the New York ... Abstract Full Text (PDF) [Epub] Full Text (HTML)

3.

Predictive Modelling of Groundwater Quality in the Nakanbé River Basin Using Machine Learning Techniques Issoufou OUEDRAOGO, W. J. P. SANDWIDI, Fatoumata KABORE, Mahamadou KONARE, Cheick Abdramane OUATTARA American Journal of Water Resources. 2025 13 (3). doi: 10.12691/ajwr-13-3-3 Keywords: Machine Learning, Regression, Groundwater Quality Parameters, Nakanbé basin, Burkina Faso Context: ...a Faso’s Nakanbé Basin, where groundwater serves as a primary source of potable water. This study aimed to develop and evaluate Machine Learning (ML) models to predict two key water quality parameters: Total Dissolved Solids (TDS) and Total Alkalinity (TA), using data p... Abstract Full Text (PDF) [Epub] Full Text (HTML)

4.

Efficient and Scalable Matrix Factorization Transfer with Review Helpfulness for Massive Data Processing Aboagye Emelia Opoku, Jianbin Gao, Dagadu Joshua Caleb, Qi Xia Journal of Computer Sciences and Applications. 2017 5 (2). doi: 10.12691/jcsa-5-2-4 Keywords: fusion, transfer learning, sparsity, helpfulness Context: ...the concept of transfer learning (TL) which are normally caused by missing and noisy ratings and or review helpfulness. TL is a Machine Learning (ML) method which aims to extract knowledge gained in a source task/domain and use it to facilitate the learning of a target ... Abstract Full Text (PDF) [Epub] Full Text (HTML)

5.

A Review of Diabetes Datasets Muhammad Mika’ilu Yabo, Ahamed Baita Garko, Abubakar Atiku Muslim, Hassan Umar Suru Journal of Computer Sciences and Applications. 2022 10 (1). doi: 10.12691/jcsa-10-1-2 Keywords: data mining technique, healthcare systems, diabetes mellitus datasets, diabetes dataset attributes Context: ...d by the majority of the researchers. The dataset (PIDD) has eight (8) attributes which limits more exploration in the field of Machine Learning (ML) for diabetes prediction. Diabetes prediction is limited because of the few attributes available in the diabetes datasets... Abstract Full Text (PDF) [Epub] Full Text (HTML)

6.

Heterogeneous Data and Big Data Analytics Lidong Wang Automatic Control and Information Sciences. 2017 3 (1). doi: 10.12691/acis-3-1-3 Keywords: Big Data, Big Data analytics, heterogeneous data, deep learning, data mining, machine learning, heterogeneous computing, computational intelligence, artificial intelligence Context: ...es data processing methods for heterogeneous data and Big Data analytics, Big Data tools, some traditional data mining (DM) and Machine Learning (ML) methods. Deep learning and its potential in Big Data analytics are analysed. The benefits of the confluences among Big D... Abstract Full Text (PDF) [Epub] Full Text (HTML)