IEEE

Predictive Modeling for Water Anomaly Detection Using Machine Learning

Abstract: Water scarcity along with poor management of water sources is turning to be a matter of global concern, and this calls for an intelligent monitoring system. This paper introduces a new ...
IEEE

Ground Water Quality Analysis with Real-Time Data Using Machine Learning

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 ...
IEEE

FloodNet-Lite: A Lightweight Deep Learning for Flood Mapping Using Remote Sensing Data With Optimized UNet and Edge Deployment Approach in 6G

Abstract: Flood mapping using remote sensing data is critical to disaster response, especially in real-time monitoring and edge deployment. However, existing deep-learning (DL) models often face ...
Frontiers

Machine learning approaches to predict hip fracture incidence: insights from the CHARLS dataset

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 ...
IEEE

Shape-Based Force Prediction of a Soft SMA Planar Actuator Using Machine Learning

Abstract: Soft actuators driven by shape memory alloy (SMA) wires are capable of undergoing a large deformation and offering a fast response, which allows them to assemble soft robots for diverse ...
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

Credit Card Fraud Detection using Machine Learning: Methods, Challenges and Solutions

Abstract: Credit card fraud detection remains a critical challenge in the financial industry, demanding robust, scalable, and adaptive solutions. This paper explores the existing research landscape, ...
Frontiers

Data-driven AI approaches for screening high-efficiency, stable, and lead-free perovskite photovoltaic materials: a review

1 Xi’an Key Laboratory of Advanced Photo-Electronics Materials and Energy Conversion Device, School of Electronic Information, Xijing University, Xi’an, China 2 Beijing Chaoyang Foreign Language ...
IEEE

Predictive Modeling for Tourist Arrivals: Assessing the Impact of Weather Data Using Machine Learning Models

Abstract: This pioneering study explores the impact of incorporating weather data into the prediction of tourism demand in Sri Lanka, marking one of the first assessments of its kind in this context.
IEEE

Technical Analysis and Comparison of Intrusion Detection Systems Using Hybrid Machine Learning Approach

Abstract: Intrusion Detection Systems (IDS) are critical components in securing network environments against a myriad of cyber threats. The evolution of machine learning (ML) techniques has ...