New Study Reveals Powerful New Method Can Distinguish Schizophrenia from Healthy Using Brain SPECT Imaging

Reports demonstrates that whole-brain Single Photon Emission Computed Tomography (SPECT) imaging, combined with advanced ...

OpenAI introduces GPT-5.6 to challenge Claude Mythos 5

OpenAI Group PBC today introduced GPT-5.6, a new series of large language models that it says can outperform Claude Mythos 5 ...
IEEE

Advanced SVM and KNN Algorithms for Fault Detection in Power Transformers Based on Dissolved Gas Analysis

Abstract: Power transformers, as oil-immersed equipment, are primarily diagnosed using dissolved gas analysis (DGA), a widely recognized and effective fault detection method. Over time, numerous ...
scienceopen.com

Towards Improving Sustainable Water Management in Geothermal Fields: SVM and RF Land Use Monitoring

The management and monitoring of land use in geothermal fields are crucial for the sustainable utilization of water resources, as well as for striking a balance between the production of renewable ...
Frontiers

Multi-Objective artificial bee colony optimized hybrid deep belief network and XGBoost algorithm for heart disease prediction

The global rise in heart disease necessitates precise prediction tools to assess individual risk levels. This paper introduces a novel Multi-Objective Artificial Bee Colony Optimized Hybrid Deep ...
ascopubs.org

A Comparison of Logistic Regression Against Machine Learning Algorithms for Gastric Cancer Risk Prediction Within Real-World Clinical Data Streams

We trained models using logistic regression (LR) and four commonly used ML algorithms to predict NCGC from age-/sex-matched controls in two EHR systems: Stanford University and the University of ...
Frontiers

Semi-Supervised Support Vector Machine for Digital Twins Based Brain Image Fusion

The purpose is to explore the feature recognition, diagnosis, and forecasting performances of Semi-Supervised Support Vector Machines (S3VMs) for brain image fusion Digital Twins (DTs). Both unlabeled ...
Embedded

Smoothing EV powertrain performance with a field-oriented control algorithm

High-performance motors need a control mechanism that ensures enhanced smoothness, reliability, and efficiency. One of the most apt examples of such an application is the motor used in ...