Current Computer Science - Volume 3, Issue 1, 2024

In the last few years, Neural Networks have become more common in different areas due to their ability to learn intricate patterns and provide precise predictions. Nonetheless, creating an efficient neural network model is a difficult task that demands careful thought of multiple factors, such as architecture, optimization method, and regularization technique. This paper aims to comprehensively overview the state-of-the- Read More

BackgroundIn the research and practice of medical sciences, accurate classification of biomedical images with computer programs may provide an important basis for the study and diagnosis of many diseases.MethodsThis paper proposes a new statistical approach that can accurately classify biomedical images based on their statistical features. In the first step of the proposed approach, a number of SIFT features of different t Read More

BackgroundThis research paper showcases the creation and assessment of a machine learning model utilizing the Efficient Net B4 architecture for the identification of cumin herbs and any potential adulterants. The research presents a comprehensive overview of the model's structure, emphasizing the different layers, their output dimensions, and the number of parameters.MethodsThe trained model consists of a grand Read More