Browsing by Author "Emmanuel, Ahishakiye"
Now showing items 1-10 of 10
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Adaptive-size dictionary learning using information theoretic criteria for image reconstruction from undersampled k-space data in low field magnetic resonance imaging
Emmanuel, Ahishakiye; Martin, Bastiaan Van Gijzen; Julius, Tumwiine; Johnes, Obungoloch (BMC Medical Imaging, 2020-06)Background Magnetic resonance imaging (MRI) is a safe non-invasive and nonionizing medical imaging modality that is used to visualize the structure of human anatomy. Conventional (high-field) MRI scanners are very expensive ... -
Blockchain technology needs for sustainable mineral supply chains: A framework for responsible sourcing of Cobalt.
Godfrey, Mugurusi; Emmanuel, Ahishakiye (Elsevier, 2022)Blockchain technology has recently become the go-to solution for companies and industries that seek to enhance value chain traceability of their products, and transparency in their supply chains. Because of these benefits, ... -
Classification of cassava leaf diseases using deep Gaussian transfer learning model
Emmanuel, Ahishakiye; Ronald, Waweru Mwangi; Petronilla, Murithi; Fredrick, Kanobe; Danison, Taremwa (Engineering Reports, 2023-03)In Sub-Saharan Africa, experts visually examine the plants and look for disease symptoms on the leaves to diagnose cassava diseases, a subjective method. Machine learning algorithms have been employed to quickly identify ... -
Comparative Performance of Machine Leaning Algorithms in Prediction of Cervical Cancer
Emmanuel, Ahishakiye; Waweru, Mwangi; Petronilla, Muthoni; Lawrence, Nderu; Ruth, Wario (IEEE xplore, 2021-10)Cervical cancer is among the most common types of cancer affecting women around the world despite the advances in prevention, screening, diagnosis, and treatment during the past decade. Cervical cancer can be treated if ... -
A comparative study of some pre-trained models on transfer learning approach in detection and classification of cassava leaf diseases
Emmanuel, Ahishakiye; Waweru, Mwangi; Petronilla, Muthoni; Danison, Taremwa; Fredrick, Kanobe (SSRN, 2022)Cassava diseases affect cassava harvest posing the greatest danger to the food security and livelihoods of more than 200 million people. To identify cassava diseases, government professionals visit various sections of the ... -
Consumer segmentation and profiling using demographic data and spending habits obtained through daily mobile conversations
Samuel, W. Kamande; Evans, A. K. Miriti; Emmanuel, Ahishakiye (American Journal of Modeling and Optimization, 2018-08)Knowledge of customer behaviour helps organizations to continuously re-evaluate their strategies with the consumers and plan to improve and expand their application of the mosteffective strategies. Using expenditure data ... -
A dictionary learning approach for joint reconstruction and denoising in low field magnetic resonance imaging
Emmanuel, Ahishakiye; Martin, Bastiaan VAN Gijzen; Xiujie, Shan; Julius, Tumwiine; Johnes, Obungoloch (2021 IST-Africa Conference (IST-Africa), 2021-10)Currently, many children with hydrocephalus in East Africa and other resource-constrained countries do not have access to Magnetic Resonance Imaging (MRI) scanners, the preferred imaging tool during the disease administration ... -
An ensemble model based on learning vector quantization algorithms for early detection of cassava diseases using spectral data
Emmanuel, Ahishakiye; Waweru, Mwangi; Petronilla, Murithi; Ruth, Wario; Fredrick, Kanobe; Taremwa, Danison (SpringerLink, 2023-03)In Sub-Saharan Africa, cassava is the second most significant food crop after maize. Cassava brown streak disease (CBSD) and cassava mosaic virus disease (CMD) combined account for nearly 90% of productivity losses. ... -
A secure web based records management system for prisons: a case of Kisoro prison in Uganda
Emmanuel, Ahishakiye; Danison, Taremwa; Elisha, Opiyo Omulo (International journal of computer, 2017)Most Prisons in the developing countries are still using the traditional system – pen and papers, to keep track of their records. This system takes long to finish a single transaction; this has led to loss of information ... -
A survey on deep learning in medical image reconstruction
Emmanuel, Ahishakiye; Martin, Bastiaan Van Gijzen; Julius, Tumwiine; Ruth, Wario; Johnes, Obungoloch (Elsevier, 2021-03)Medical image reconstruction aims to acquire high-quality medical images for clinical usage at minimal cost and risk to the patients. Deep learning and its applications in medical imaging, especially in image reconstruction have ...