Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

Abstract: The leading challenge for most businesses is customer churn; it is very hard for every business organization to maintain their customers. If customers are not satisfied with the service ...

Abstract: For the entire world Ground water is considered as the predominant source of water used for various purposes. As far as India is concerned 65% of its needs are satisfied by ground water. But ...

Abstract: The central nervous system (CNS) contains the brain, spinal cord, and it governs all essential functions. These functions encompass cognition, verbal communication, and locomotion. When a ...

This is the code for shanghaitech CS182 Project from group 1. In this project, we used various models and different methods to segment vessels from 3D CT image. The train.py Uses a Unet with Resnet-50 ...

Abstract: The current variants of the Segment Anything Model (SAM), which include the original SAM and Medical SAM, still lack the capability to produce sufficiently accurate segmentation for medical ...

Background: Hip fractures are a major health concern in the older adults, severely impacting patients’ quality of life and straining healthcare systems. With China’s aging population, their incidence ...

Abstract: Human trafficking is a serious problem that requires new ideas and data-driven approaches to identify and solve. In this study, we analyze large datasets to identify patterns and anomalies ...

Abstract: Automated segmentation of the optic disc (OD) and the optic cup (OC) in retinal fundus images plays a pivotal role in early glaucoma diagnosis. Many studies have employed deep learning ...

Abstract: This study focuses on the development of a stacked model, named Cluster Boost, which integrates K-means clustering and Gradient Boosting to analyse customer behaviour in e-commerce. Cluster ...