Tag: Machine Learning

A hybrid CNN-BiLSTM model with multi-head self-attention classifies five EEG brain states, including seizures, with 98.83 percent accuracy on a ...

A machine-learning-assisted reanalysis of single-cell and bulk transcriptomic data provides a reproducible framework for characterizing glioblastoma ecosystem states while carefully ...

Researchers have trained a reinforcement learning system that autonomously plans collisions between robots to determine whether a malfunctioning agent's fault ...

A new deep reinforcement learning framework improves personalized e-commerce marketing by balancing short-term conversions with long-term customer value.

A cross-sectional study of 542 PUBG-playing university students links each additional year of gaming experience to a 25.3 percent increase ...

Researchers in Iran trained an optimized gradient boosting model on 419 tested deep beams and used SHAP analysis to make ...

A CT-based multimodal radiogenomic model combining tumor imaging, perirenal fat features, and genetic data outperformed conventional risk stratification for clear ...

A University of Central Florida researcher has earned a $300,000 National Science Foundation grant to study how biofilms, disinfectants, and ...

A new evidence-guided framework called E-MDD combines deep EEG representations, neurophysiological biomarkers, and a constrained large language model to detect ...

A University of Texas at Arlington team is developing AI-based 4D reconstruction methods to substantially reduce radiation dose in multi-phase ...

A systematic review of 57 studies defines Digital Twin Forestry as an emerging informatics paradigm that continuously couples multisensor Earth ...

NASA researchers used Computation Tree Logic model-checking to formally verify that their machine learning runway configuration tool meets crosswind and ...

Idiopathic pulmonary arterial hypertension (IPAH) has long puzzled physicians... The methodological architecture of the study deserves closer examination, because the ...

Researchers have built a Bayesian liquid neural network that scores posture quality while quantifying its own uncertainty and abstaining from ...

A new computational framework enables autonomous drones to identify driver behavior styles, quantify air-ground collision risk in real time, and ...

A systematic 264-experiment study in China found that a Wasserstein GAN augmenting just 76 soil samples improved drone-based soil organic ...

A new multimodal ultrasound nomogram distinguishes granulomatous lobular mastitis from invasive ductal carcinoma with a validation AUC of 0.978, though ...

A new systematic review of 123 studies shows that pairing organ-on-chip devices with digital twin computational models is rapidly maturing ...

Surgeons and statisticians from Barcelona argue that neutral machine learning results in abdominal wall surgery reveal when large registries lack ...

A new spatial modeling study estimates that parasitic Striga weeds cost African maize farmers about US$1.04 billion annually and shows ...