Silk Gels Tuned Across Scales Stretch From Soft Sensors to Energy Harvesters
Researchers have built a family of gels made from silk fibroin and deep eutectic solvents whose mechanical properties can be ...
Tag: Deep
Interpretable AI network pinpoints what drives 24-hour tropical cyclone intensity change
Tropical cyclone intensity can shift dramatically within a day, and capturing that evolution remains one of the hardest problems in ...
Hybrid Deep Learning Model Boosts Prediction of Slope Stability Safety Factor
A hybrid deep learning framework that combines unsupervised feature extraction with supervised regression outperformed a standard neural network and conventional ...
Sedation May Shorten Atrial Fibrillation Ablation Procedures
A systematic review and meta-analysis published in Frontiers in Cardiovascular Medicine suggests that using conscious or deep sedation rather than ...
Systematic review finds limited validation of AI diagnosis in dogs and cats
A systematic review of 57 dog and cat studies found high reported performance from CNN and LSTM diagnostic systems, but ...
Research report: Deep learning based detection of active pulmonary tuberculosis from chest radiographs in a retrospective prospective multicenter study
A lightweight ShuffleNetV2 model distinguished active from non-active pulmonary tuberculosis on chest radiographs with a prospective AUC of 0.896 and ...
Hybrid DDQN improves trading-action classification using sentiment and financial signals
A double deep Q-network combining news and social-media sentiment with price, volume and momentum signals outperformed four machine-learning approaches in ...
DynaVelo predicts B-cell mutation effects and rescue targets in mice
A neural ordinary differential equation model learned joint RNA and chromatin dynamics in mouse germinal-center B cells, predicted mutation effects ...
EfficientNet-B0 leads ResNet50 in six-class pavement crack image classification
EfficientNet-B0 classified six pavement-image categories with 89.8% accuracy on the study dataset, outperforming ResNet50 and supporting a derived road-condition index.
Lab study finds about 93% cross-validated accuracy for contactless classification of three breathing patterns
A controlled laboratory study of 56 adults achieved mean cross-validated accuracies of about 93% for contactless classification of normal, fast ...
-
Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
-
University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
-
Bee body mass, pathogens and local climate influence heat tolerance
-
Researchers record first-ever images and data of a shark experiencing a boat strike
-
Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
Embark on a thrilling journey of discovery with Scienmag.com—your ultimate source for cutting-edge breakthroughs. Immerse yourself in a world where curiosity knows no limits and tomorrow’s possibilities become today’s reality!