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Now showing items 11-15 of 15
A Performant Predict Analytics Approach to Recommender Systems Using Deep Learning Methods
(AUST, 2022-09-05)
Recently, Massive amounts of data have been generated as a result of the frequency at which the amount of information available digitally is advancing. To enable users to effectively utilise the huge amount of information, ...
Cloud Computing Adoption in Nigeria Universities: A Conceptualized Model Based on Stakeholder Perceptions
(AUST, 2022-12-09)
Cloud computing is a technology that represents a shift from traditional ownership of infrastructure and other resources to a more scalable pattern in which computing resources are leased online to businesses on a pay-as-you-go ...
A Lightweight Convolutional Neural Network for Breast Cancer Detection Using Knowledge Distillation Techniques
(AUST, 2023-01-23)
The second most heterogeneous cancer ever discovered is Breast Cancer (BC). BC is a disease that develops from malignant tumors when the breast cells begin to grow abnor-mally. Although it grows in the breast, it can spread ...
Neural Collaborative Filtering and Autoencoder Enabled Deep Learning Models for Recommender Systems
(AUST, 2022-11-15)
Finding important and useful information is getting harder as much more information is available online. The challenge for content producers is to deliver the appropriate content to the appropriate consumers while making ...
How Machine Learning Can Evaluate the Influence of Socioeconomic and Climatic Factors in Agricultural Yield: A Case of Nigeria
(AUST, 2023-05-10)
The major international agencies in charge of nutrition are becoming increasingly concerned about global agricultural production in particular. Food insecurity has emerged in some populated areas, including Africa, as a ...