IEEE

Advanced Optimization in E-Commerce Logistics: Combining Matheuristics With Random Forests for Hub Location Efficiency

Abstract: The rapid growth of e-commerce has introduced significant challenges in optimizing logistics and distribution networks, particularly in determining hub locations to balance cost efficiency ...
Mirage News

Forests' Growth Monitored Via Satellite

Forests are central to climate mitigation, yet tracking how fast they grow over decades remains difficult. A new satellite-based approach reconstructs ...
IEEE

Early Prediction of Alzheimer's Dementia Using Random Forest Machine Learning Algorithm: A Data-Driven Approach

Abstract: Alzheimer's dementia is liberal neurological ailment categorized by memory loss, cerebral failure, and it is the utmost communal form of dementia and typically affects older adults. Every ...
Hospital Healthcare Europe

Machine learning-assisted mapping of VT ablation targets: progress and potential

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...
IEEE

Real Time Smart Forest Fire Detection and Monitoring System Using IoT and Machine Learning

Abstract: According to the National Interagency Fire Center (NIFC) forest fires pose a major threat to our planet, causing severe ecological, economic, and human loss, with an estimated 7 million ...
IEEE

A Machine Learning Approach to Predict and Analyze Student Academic Performance Using Random Forest and SVM with SMOTE for Imbalanced Data Handling

Abstract: Education plays a crucial role in shaping the quality of human resources. One of the indicators of the effectiveness of the learning process is the academic achievement of students.
IEEE

GS-PT: Exploiting 3D Gaussian Splatting for Comprehensive Point Cloud Understanding via Self-supervised Learning

Abstract: Self-supervised learning of point cloud aims to leverage unlabeled 3D data to learn meaningful representations without reliance on manual annotations. However, current approaches face ...
IEEE

Enhancing Random Forest Using Genetic Algorithm for Lifelong Machine Learning

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...
IEEE

A Machine Learning Approach for Credit Card Fraud Detection in Massive Datasets Using SMOTE and Random Sampling

Abstract: The surge in digital transactions has paved the way for an alarming rise in credit card fraud, compelling the need for robust detection systems. The swift progress of technology has ...
IEEE

A Multi-Class Imbalanced Learning Method Using Random Balanced Sampling for Predicting the Quality Level of Diesel Engines

Abstract: Numerous process items and procedures in the assembly process of a diesel engine have a direct and significant impact on its performance, and accurate and effective assembly process control ...
IEEE

Quantum Machine Learning: Recent Advances, Challenges, and Perspectives

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...