Zinc Chemistry Breakthrough Turns Metal into a Reusable Hydrogen Battery
Researchers have used machine learning to discover that lactate ligands unlock reversible zinc oxidation, enabling a safe, circuit-free carrier that ...
Researchers have used machine learning to discover that lactate ligands unlock reversible zinc oxidation, enabling a safe, circuit-free carrier that ...
A systematic review of 83 studies finds that while deep learning models excel at ECG-based cardiovascular disease prediction, weak external ...
A new heterogeneous graph Kolmogorov-Arnold network called HG-KAN predicts how water injected into layered oil reservoirs will perform, achieving high ...
Researchers in South Korea developed a domain-adaptive deep learning framework that lets smartphones detect abnormal lung sounds in children despite ...
A semi-supervised adversarial autoencoder detects gait phases in real time for post-stroke exoskeleton control, reaching 93.79% accuracy with only 10% ...
A new scoping review finds the Saint-Bonnet Doppler waveform classification is practical and clinically promising, but warns that all its ...
A new graph neural network framework called GlucoSense combines smartphone activity recognition with glucose forecasting to identify early type 2 ...
A new systematic review of 34 studies reveals that while AI models can predict vigilance decrements in air traffic controllers ...
Medicine is quietly acquiring a new kind of patient: one made entirely of data and mathematics. Digital twins, computational replicas ...
A vision-based machine learning study of 61 dementia care residents found that ceiling-mounted cameras and gait analysis could detect gait ...
A large-scale empirical study shows that hyperparameter tuning, not the choice of algorithm, is the dominant factor in whether machine ...
A new dual-modality deep learning framework called DHF-DTI combines sequence and graph data with cross-attention fusion and supervised contrastive learning ...
Every dyed fabric tells a story of slow defeat. Sunlight, moisture, and heat conspire to break the chemical bonds that ...
A University of Waterloo team combined electrochemical experiments with neural networks and genetic algorithms to predict aluminum anode corrosion in ...
A new adaptive hybrid forecasting framework that dynamically reweights ARIMA, SETAR, and neural network components, augmented with a GARCH volatility ...
A new 12-month Italian study will follow 150 people with bipolar disorder to determine whether comorbid ADHD or borderline personality ...
Ecologists call for a paradigm shift that treats individual organisms, rather than species averages, as the fundamental agents of global ...
A validated collar-based system predicts individual feed intake in dairy cows with research-grade accuracy using only wearable sensor and farm ...
Researchers in Wuhan combined automated whole-brain MRI segmentation with APACHE II and SOFA scores in an XGBoost machine learning model ...
A decade-long scoping review of 93 AI health studies finds that only 12.9 percent implemented concrete equity measures and just ...
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