Which Machine Learning Models Are Most Used In Crypto Signal Generation?

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...
Tech Xplore

New algorithm lets autonomous drones work together to transport heavy, changing payloads

Scientists at TU Delft, the Netherlands, have developed a new algorithm that allows multiple autonomous drones to work ...
Scientific Research Publishing

Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning ()

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...
Devdiscourse

Explainable AI model achieves breakthrough accuracy in ovarian cancer detection

The researchers argue that the integration of explainable AI into clinical decision-making pipelines could reshape cancer ...
AZoSensors

ML and Volume Modeling Boosts Corn Biomass Prediction

Advanced UAV sensor integration and machine learning may improve corn AGB predictions, providing scalable solutions for ...
Cloud Security Alliance

Cyber Threat Intelligence: AI-Driven Kill Chain Prediction

KillChainGraph predicts attack sequences using machine learning. Rather than just flagging individual suspicious events, it ...
University of Surrey

Xiaolong Han

Zehong Wang, Xiaolong Han, Yanru Chen, Xiaotong Ye, Keli Hu, Donghua Yu (2022) Prediction of willingness to pay for airline seat selection based on improved ensemble learning Airlines have launched ...
IEEE

Enhanced Fingerprint-Based Positioning With Practical Imperfections: Deep Learning-Based Approaches

Abstract: High-precision positioning is vital for cellular networks to support innovative applications such as extended reality, unmanned aerial vehicles (UAVs), and industrial Internet of Things (IoT ...
chromatographyonline

Portable Electronic Nose with Machine Learning Enhances VOC Detection in Forensic Science

AI and ML are transforming forensic applications with e-nose systems, offering rapid, cost-effective analysis for volatile organic compounds. A 32-element MOS sensor array enhances e-nose forensic ...
C&EN

StackNAFLD: An Accurate Stacking Ensemble Learning Targeting NAFLD Treatment

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In this article, we constructed a stacking model called ...