Results 141 to 150 of about 147,152 (326)

Continuous Physics‐Informed Learning Expedited Battery Mechanism Decoupling

open access: yesAdvanced Science, EarlyView.
A battery modeling framework combining dual neural networks with physical prior is presented to track internal mechanisms, decouple overpotential components, and early predict aging trajectories using only DC data, eliminating the need for additional measurements.
Shanling Ji   +7 more
wiley   +1 more source

Parameterized Complexity

open access: yesElectronic Notes in Theoretical Computer Science, 2002
Jorg Flum, R. G. Downey, M. R. Fellows
openaire   +2 more sources

Quantum Computing Meets Deep Learning: A QCNN Model for Accurate and Efficient Image Classification

open access: yesMathematics
In deep learning, Convolutional Neural Networks (CNNs) serve as fundamental models, leveraging the correlational structure of data for tasks such as image classification and processing.
Sunil Prajapat   +4 more
doaj   +1 more source

Robust Physics‐Informed Neural Network Approach for Estimating Heterogeneous Elastic Properties from Noisy Displacement Data

open access: yesAdvanced Science, EarlyView.
Heterogeneous distributions of elasticity parameters are learned from noisy displacement data using the Inverse Elasticity Physics‐Informed Neural Network (IE‐PINN). This approach integrates both data‐driven and physics‐driven methods to address the significant limitations faced by existing techniques.
Tatthapong Srikitrungruang   +4 more
wiley   +1 more source

Ultrafine Molybdenum Wire Braided Neurointerventional Implants: Bridging Biodegradability and Neurovascular Safety for Stroke Treatment

open access: yesAdvanced Science, EarlyView.
Molybdenum (Mo), with its unique strength, uniform corrosion, and radiopacity, enables innovative biodegradable implants for transformative stroke therapy. Abstract Neurovascular implants for stroke intervention face a critical dilemma: permanent devices (e.g., nitinol stents, platinum coils) often trigger chronic inflammation and recurrence, whereas ...
Yunong Shen   +11 more
wiley   +1 more source

Scalable parameterized quantum circuits classifier

open access: yesScientific Reports
As a generalized quantum machine learning model, parameterized quantum circuits (PQC) have been found to perform poorly in terms of classification accuracy and model scalability for multi-category classification tasks. To address this issue, we propose a
Xiaodong Ding   +5 more
doaj   +1 more source

Research on a collision detection method for large-scale tubular structures driven by dimensionality reduction

open access: yesResults in Engineering
Efficient collision detection is of great significance for the design and analysis of large-scale complex tubular structures. However, traditional methods rely on 3D surface calculations or bounding boxes, which suffer from problems such as high ...
Wenming Jiang   +7 more
doaj   +1 more source

Parameterized learning complexity [PDF]

open access: gold, 1993
Rodney G. Downey   +2 more
openalex   +1 more source

Novel Antifungal Scaffold Targeting Tubulin Overcomes Sclerotinia Sclerotiorum Resistance

open access: yesAdvanced Science, EarlyView.
Addressing pesticide resistance, novel chromone‐acylhydrazone hybrids targeting fungal tubulin are synthesized. Compound G24 potently inhibited S. sclerotiorum (EC50 = 0.21µg mL−1) and demonstrated enhanced field performance via microencapsulation, offering a sustainable strategy against resistance and for global food security.
Lihui Shao   +5 more
wiley   +1 more source

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