Abstract: One of the primary causes of death globally, heart disease still affects millions of people; thus, early identification is very essential for efficient treatment. To meet the need for ...
CCParser is a robust and efficient Python library designed for seamless credit card parsing, validation, and formatting. It can extract card details from clean, delimited strings and messy real-world ...
Abstract: The prediction of smart grid (SG) stability holds essential importance for ensuring reliable grid operation under changing unpredictable conditions. The accurate prediction of grid stability ...
Abstract: Cervical cancer remains one of the leading causes of cancer-related mortality among women globally, particularly in developing regions with limited access to early diagnostic tools.[3] This ...
Abstract: Dementia, a neurodegenerative disorder, requires early prediction and effective diagnosis for providing better treatment to avert the loss. The detection and classification of disease is ...
Adam Mosseri, the head of Instagram, testified on Wednesday that he does not think users can be “clinically addicted” to the social media app. Mosseri is the first executive to testify in the landmark ...
This repository contains the implementation of the granular ball-based feature selection algorithm for multi-label learning, as described in the research paper published in Knowledge-Based Stems. Note ...
Abstract: This paper presents a comparative evaluation of four widely used object detection algorithms for bolt detection in robotic vision applications: Faster Region-based Convolutional Neural ...
Abstract: Ultrasound detection can promptly identify partial discharge (PD) faults inside power transformer by using fiber-optic Fabry-Perot (F-P) array sensors. This paper presents a new design ...
Abstract: To solve the problem of decreased tracking performance of the Interactive Multiple Model (IMM) algorithm when tracking underwater maneuvering targets due to model switching delay, an ...
Abstract: This paper addresses the limitations of existing convolutional neural network (CNN) models by proposing an advanced CNN algorithm (MCNN-RS) that incorporates Leaky ReLU,Swish activation ...