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This study presents an advanced method for bolstering SCADA security by employing a modified hybrid deep learning model. A key innovation in this work is integrating the Self-similarity Hurst ...
The foundation of human existence is agriculture. One major problem is the presence of weeds in a crop field. Conventional weed control techniques, such as hand eradication and sporadic pesticide ...
Retinal Fluids (fluid collections) develop because of the accumulation of fluid in the retina, which may be caused by several retinal disorders, and can lead to loss of vision. Optical coherence ...
Alzheimer’s disease, a neurodegenerative illness that gradually impairs cognitive function, affects a large number of people worldwide. It is crucial to enhance early detection methods so that ...
A key step in affective computing and interaction between humans and computers is speech emotion recognition (SER). Deep learning architectures have demonstrated promising performance in a variety of ...
This study investigates Convolution Neural Network (CNN) architectures for the detection of sclerosis in MRI data using deep learning techniques, with a focus on implementation in Tensor Flow.
While these studies demonstrate the efficacy of deep CNNs, they often rely on highly complex architectures, which can increase computational demands and reduce interpretability. Our approach seeks to ...