Results 281 to 290 of about 493,705 (320)

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

REINFORCE-ING Chemical Language Models for Drug Discovery. [PDF]

J Chem Inf Model
Thomas M, Bou A, Gómez-Tamayo JC, Tresadern G, Ahmad M, De Fabritiis G.   +5 more
europepmc   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

Adaptive mapless mobile robot navigation using deep reinforcement learning based improved TD3 algorithm. [PDF]

Front Robot AI
Nasti SM, Najar ZA, Chishti MA.
europepmc   +1 more source

A Fully Probabilistic Tensor Network for Regularized Volterra System Identification

Kilic, Afra, Batselier, Kim
openalex   +1 more source

Soft Magnetic Sensor Array for Amphibious Measurement of 3D Muscle Deformation Distribution for Human Motion Recognition

Advanced Intelligent Systems, EarlyView.
This article develops a soft magnetic sensor array to extract 3D and distributional muscle deformations, which has highly consistent measurements in amphibious environments, robustness to hydraulic pressure, and about 200 ms faster response than an inertial measurement unit, achieving over 98% classification accuracy and below 3% phase estimation ...
Yuchao Liu, Zihan Chen, Chuxuan Guo, Zijie Liu, Yibin Chen, Xuan Wu, Zhuo Li, Qining Wang, Jiajie Guo   +8 more
wiley   +1 more source

Portable Dual-Mode Biosensor for Quantitative Determination of <i>Salmonella</i> in Lateral Flow Assays Using Machine Learning and Smartphone-Assisted Operation. [PDF]

Biosensors (Basel)
Blackshare J, Corman B, Rajwa B, Robinson JP, Bae E.   +4 more
europepmc   +1 more source

$\ell_0$-Regularized Item Response Theory Model for Robust Ideal Point Estimation

Kwangok Seo, Johan Lim, Seokho Lee, Jong Hee Park   +3 more
openalex   +1 more source

Spikoder: Dual‐Mode Graphene Neuron Circuit for Hardware Intelligence

Advanced Intelligent Systems, EarlyView.
Spikoder, a graphene leaky integrate‐and‐fire circuit that operates as an encoder and a neuron in a spiking neural network (SNN), is introduced. A Spikoder‐driven double‐layer SNN shows an accuracy of 97.37% for the classification of the Modified National Institute of Standards and Technology dataset, demonstrating its potential as a key building block
Kannan Udaya Mohanan, Seyed Mehdi Sattari‐Esfahlan, Eou‐Sik Cho, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source