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Rito Clifford Maswanganyi

3 papers indexed

crossrefMachine Learning and Knowledge Extraction2026-07-22

Alzheimer’s Disease Detection Based on Machine Learning and Deep Learning Frameworks: A Cross-Dataset Comparative Performance Analysis and Assessment of Clinical Readiness

Keenan Ramnarain, Rito Clifford Maswanganyi, Philani Khumalo

Alzheimer’s disease (AD) is the most prevalent neurodegenerative disorder worldwide, affecting approximately 56.9 million people in 2021 and projected to reach 152 million by 2050. Its defining pathological features, amyloid-beta plaques and neurofibrillary tangles, accumulate fo…

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crossrefMathematics2026-04-30

Comparative Performance Analysis of Machine Learning Computational Pipelines and Deep Learning Architectures in EEG Motor Imagery BCIs

Nerita Ramsoonder, Rito Clifford Maswanganyi, Philani Khumalo

The deployment of Motor Imagery Brain–Computer Interfaces (MI-BCI) is constrained by the inherent physiological variabilities of Electroencephalography (EEG) and parametric opacity. This paper presents a targeted technical audit of ten high-density MI-BCI computational pipelines,…

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crossrefJournal of Imaging2025-09-23Cited by 38

A Review on the Detection of Plant Disease Using Machine Learning and Deep Learning Approaches

Thandiwe Nyawose, Rito Clifford Maswanganyi, Philani Khumalo

The early and accurate detection of plant diseases is essential for ensuring food security, enhancing crop yields, and facilitating precision agriculture. Manual methods are labour-intensive and prone to error, especially under varying environmental conditions. Artificial intelli…

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