Results 231 to 240 of about 130,387 (281)

Harnessing Digital Microstructure for Simulation‐Guided Optimization of Permanent Magnets

Advanced Intelligent Discovery, EarlyView.
An experimental‐to‐computational workflow is presented that transforms experimental 3D focused ion beam‐scanning electron microscopy data into a simulation‐ready digital microstructure for multiphase functional materials. Using heavy‐rare‐earth‐free Nd–Fe–B magnets as a model system, the approach quantifies grain connectivity across complex secondary ...
Nikita Kulesh, Anton Bolyachkin, Hajime Nakamura, Tadakatsu Ohkubo, Hossein Sepehri‐Amin   +4 more
wiley   +1 more source

An Evolutionary-Algorithm-Driven Efficient Temporal Convolutional Network for Radar Image Extrapolation. [PDF]

Biomimetics (Basel)
Wei P, Fan C, Wang Y, Li T, Gan J, Hu C, Li Z.   +6 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

A Novel Improved Whale Optimization Algorithm-Based Multi-Scale Fusion Attention Enhanced SwinIR Model for Super-Resolution and Recognition of Text Images on Electrophoretic Displays. [PDF]

Biomimetics (Basel)
Xiong X, Feng Z, Li P, Hu X, Liu J, Liu X.   +5 more
europepmc   +1 more source

Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering

Advanced Intelligent Discovery, EarlyView.
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley   +1 more source

Hybrid Neuro-Symbolic State-Space Modeling for Industrial Robot Calibration via Adaptive Wavelet Networks and PSO. [PDF]

Biomimetics (Basel)
Mao H, Lai Z, Li Z.
europepmc   +1 more source

Intelligence prediction of integrated circuit reliability based on SSA-LSTM fusion architecture. [PDF]

PLoS One
Qian Y, Liu B, Su B, Zhang C.
europepmc   +1 more source

Unsupervised learning of spatially varying regularization for diffeomorphic image registration. [PDF]

Med Image Anal
Chen J, Wei S, Liu Y, Bian Z, He Y, Carass A, Bai H, Du Y.   +7 more
europepmc   +1 more source

Systematic hyperparameter analysis of GRU and LSTM across demand pattern types: a demand-characteristic-driven meta-learning framework for rapid optimization. [PDF]

Sci Rep
El-Meehy AO, El-Kharbotly AK, El-Beheiry MM.   +2 more
europepmc   +1 more source