IEEE

Machine Learning and Ensemble Prediction for Customer Churn Prediction Analysis

Abstract: Customer churn prediction is super important for businesses. It helps them keep customers around make money over time. In this study, we look at ways to predict when customers might leave ...
IEEE

Optimizing Marketing Strategies: Predicting Customer Personality using Advanced Machine Learning Models

Abstract: In the competition of modern marketing, it is highly important to foresee the correct personality profiles of customers because this may further improve the result of marketing campaigns.
Journal of Medical Internet Research

Passive Sensing for Mental Health Monitoring Using Machine Learning With Wearables and Smartphones: Scoping Review

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 ...
IEEE

Data-Driven Approaches to Weather Prediction With Machine Learning

Abstract: Weather forecasting joins among the most critical undertakings in agriculture, disaster management, transportation, and many other sectors. Though traditional forecasting techniques are ...
IEEE

Solar Panels Segmentation in Remote Sensing Data Using Segment Anything Models 2 and 2.1

Abstract: This letter provides insights on the effectiveness of the zero-shot, prompt-based Segment Anything Model (SAM) and its updated versions, SAM 2 and SAM 2.1, along with the nonpromptable ...
IEEE

Medical Image Segmentation for Anomaly Detection Using Deep Learning Techniques

Abstract: Medical images are the standard approach for the analysis and diagnosis of critical issues of diseases. To minimize the time-consuming inspection and evaluation process of the medical images ...
IEEE

On-the-Fly Improving Segment Anything for Medical Image Segmentation Using Auxiliary Online Learning

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 ...
IEEE

Data-Driven Solutions for Human Trafficking: Detection and Impact Analysis Using Machine Learning

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 ...
IEEE

Few-Shot Weakly Supervised Segmentation for Retinal Fundus Images using Meta-Learning

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 ...