Results 141 to 150 of about 11,164 (213)

AI-based prediction of VO₂ max from 24-h Holter ECG recording. [PDF]

NPJ Microgravity
Solbiati S, Fiorentino MC, Bendandi R, Moccia S, Caiani EG.   +4 more
europepmc   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

Advanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj, Ashfak Nehal, Dmitrii Semenov, Roman Sotner, Sayani Majumdar   +4 more
wiley   +1 more source

Side-level versus patient-level evaluation in four-view mammography classification: a comprehensive benchmark on the CMMD dataset. [PDF]

Future Sci OA
Mabrok MA.
europepmc   +1 more source

Machine Learning‐Assisted Design and Performance Prediction of a Compact Dual‐Band Polarization‐Insensitive THz Metamaterial Absorber for Skin‐Cancer‐Related Refractive‐Index Sensing

Advanced Electronic Materials, EarlyView.
A compact QASRR‐based THz metamaterial absorber enables polarization‐insensitive dual‐band absorption and skin‐cancer‐related refractive‐index sensing through measurable resonance shifts. Field, surface‐current, and circuit analyses clarify the dual‐resonance mechanism, while StackNet‐assisted prediction accurately estimates the simulated absorption ...
Md. Murad Kabir Nipun, S. M. Rifatur Rana, Md. Golam Morshed, Imrose Jahan, F. A. Sabbir Ahamed, Md. Jahedul Islam   +5 more
wiley   +1 more source

Feasibility of short-term hospital mask demand forecasting using a backpropagation neural network under data scarcity. [PDF]

Sci Rep
Wang Y, Han Y, Wang S, Guan Z, Chang C.
europepmc   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Deep learning-based generation of synthetic multiphasic MRI in hepatocellular carcinoma and cirrhosis. [PDF]

JHEP Rep
Abosabie SA, Abosabie SAS, Dai W, Yang J, Gross M, Weinreb J, Revzin MV, Parmar G, You C, Lin M, Gaddum O, Gebauer B, Savic LJ, Madoff DC, Duncan JS, Chapiro J.   +15 more
europepmc   +1 more source

Stability of PEA2PbBr4 Thin‐Film Photodetectors under Thermal and Moisture Stress

Advanced Electronic Materials, EarlyView.
This study investigates the environmental durability of 2D perovskite photodetectors under extreme heat and humidity. While pristine films degrade in harsh environmental conditions, adding a halogen‐bonding agent significantly improves stability. This passivated device maintains stable performance in conditions mimicking space and solar applications ...
Sara Cepić, Andrea Ciavatti, Enrico Gianfranco Campari, Beatrice Fraboni   +3 more
wiley   +1 more source

Improved segmentation accuracy in high-resolution peripheral quantitative computed tomography scans of carpal bones using adaptive local thresholding. [PDF]

JBMR Plus
Kuczynski MT, Poncioni S, Elmahdy S, Baldesarra E, Zysset P, Manske SL, Whittier DE.   +6 more
europepmc   +1 more source

Effects of Doping, Disorder, and Compensation on Electron Conduction in Si‐Doped k‐Ga2O3 Close to the Metal‐to‐Insulator Transition

Advanced Electronic Materials, EarlyView.
Self‐compensation effects attributed to doping‐dependent shift‐defects at APBs Validation of Hall data for VRH transport near the MIT Persistence of VRH transport for any SiH4 flow in Si‐doped κ‐Ga2O3 due to high compensation coupling transport and EPR data as strategy to study electronic properties and doping T‐dependence of transport data agrees with
Antonella Parisini, Hans Jürgen von Bardeleben, Ildicò Cora, Zsolt Fogarassy, Paola Alippi, Vincenzo Fiorentini, Ian Vickridge, Piero Mazzolini, Alessio Bosio, Roberto Fornari   +9 more
wiley   +1 more source