Gene Selection (GS) is a strategy method targeted at reducing redundancy, limited expressiveness, and low informativeness in gene expression datasets obtained by DNA …
SR Vijayakumar, P Suresh - Computers & Industrial Engineering, 2022 - Elsevier
Manufacturing companies in India are looking forward to innovative principles in order to come out with novel product designs to compete with other companies. Recently the lean …
E Korkmaz - Neural Computing and Applications, 2023 - Springer
In this study, Bezier search differential evolution (BeSD) and black widow optimization (BWO) algorithms-based estimation models in different forms have been developed to …
Artificial Intelligence techniques, such as optimization algorithms, have become essential for success in many fields. Therefore, most researchers, especially in computer and …
Histopathology image segmentation is a challenging task in medical image processing. This work aims to segment lesion regions from colonoscopy histopathology images. Initially, the …
M Amiriebrahimabadi, Z Rouhi, N Mansouri - Archives of Computational …, 2024 - Springer
In image processing, multi-level thresholding is a sophisticated technique used to delineate regions of interest in images by identifying intensity levels that differentiate different …
Z Wang, Y Mo, M Cui, J Hu, Y Lyu - Plos one, 2023 - journals.plos.org
Aerial photography is a long-range, non-contact method of target detection technology that enables qualitative or quantitative analysis of the target. However, aerial photography …
Cardiovascular disease (CVD) remains the primary reason for illness and death throughout the world despite tremendous progress in diagnosis and treatment. Artificial intelligence (AI) …
J Fan, W Xu, Y Huang, R Dinesh Jackson Samuel - Soft Computing, 2021 - Springer
Image segmentation is an essential phase in image analysis and computer vision. In computer vision, image processing denotes the analysis and handling of digital images to …