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A Lightweight Convolutional Neural Network for Breast Cancer Detection Using Knowledge Distillation Techniques
(AUST, 2023-01-15)
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 abnormally. Although it grows in the breast, it can spread ...
How Machine Learning Can Evaluate The Influence Of Socio-Economic and Climatic Factors in Agricultural Yield: A Case Of Nigeria
(AUST, 2023-05-13)
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 ...
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 ...
An Efficient Time Series Model for Tax Revenue Forecasting: A Case of Nigeria
(AUST, 2023-05-05)
Federal government independent revenue, non-oil revenue and oil revenue are some of the different sources of money for the Nigerian government. The sources of tax revenue include Pay as You Earn (PAYE), Stamp Duty (STD), ...
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 ...