Swarm intelligence-optimized deep neural network for intelligent diagnosis of lithium‑ion battery state of health. [PDF]
Li C, Yan B, Zhu C, Zhou X, Jia Y.
europepmc +1 more source
A neural network‐enabled permittivity engineering paradigm is introduced, transcending traditional trial‐and‐error design. By decoupling electromagnetic parameters and screening a high‐throughput feature space, an ultrathin (1.0 mm) magnetic absorber is inversely designed, experimentally achieving a superior and customizable 5.1 GHz bandwidth and ...
Chenxi Liu +9 more
wiley +1 more source
PEAO: a bio-inspired parallel optimizer with a multi-strategy communication mechanism for breast cancer diagnosis. [PDF]
Li H +8 more
europepmc +1 more source
Understanding protein sequence–function relationships remains challenging due to poorly defined motifs and limited residue‐level annotations. An annotation‐agnostic framework is introduced that segments protein sequences into “protein words” using attention patterns from protein language models.
Hedi Chen +9 more
wiley +1 more source
Research on Intelligent Control Method of Camber for Medium and Heavy Plate Based on Machine Vision. [PDF]
He C, Yue C, Zhao Z, Wu Z, Jiao Z.
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Unsupervised learning of spatially varying regularization for diffeomorphic image registration. [PDF]
Chen J +7 more
europepmc +1 more source
How AI Shapes the Future Landscape of Sustainable Building Design With Climate Change Challenges?
This review examines how artificial intelligence reshapes sustainable building design faced with climate change challenges. The authors synthesize existing studies to demonstrate AI's transformative potential across design lifecycle phases from climate‐aware form generation to performance optimization.
Pengyuan Shen +5 more
wiley +1 more source
Rolling Bearing Fault Diagnosis via Meta-BOHB Optimized CNN-Transformer Model and Time-Frequency Domain Analysis. [PDF]
Wang Y, Jiang H, Tong B, Song S.
europepmc +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source

