Results 181 to 190 of about 1,587,623 (364)

Enhancing fault detection in new energy vehicles via novel ensemble approach. [PDF]

Sci Rep
Akhtar I, Nabeel M, Shahid U, Munir K, Raza A, Noya ID, Villar SG, Ashraf I.   +7 more
europepmc   +1 more source

Multivariate Contrastive Predictive Coding with Sliding Windows for Disease Prediction from Electronic Health Records

Advanced Intelligent Systems, EarlyView.
Adaptive multi‐indicator contrastive predictive coding is introduced as a self‐supervised pretraining framework for multivariate EHR time series. An adaptive sliding‐window algorithm and 2D convolutional neural network encoder capture localized temporal patterns and global indicator dependencies, enabling label‐efficient disease prediction that ...
Hongxu Yuan, Xiaozhu Jing, Yuzheng Yan, Wuman Luo   +3 more
wiley   +1 more source

An Uncertainty-Aware Bayesian Deep Learning Method for Automatic Identification and Capacitance Estimation of Compensation Capacitors. [PDF]

Sensors (Basel)
Wang T, Wang P.
europepmc   +1 more source

Optisense: Computational Optimization for Strain Sensor Placement in Wearable Motion Tracking Systems

Advanced Intelligent Systems, EarlyView.
A computational framework for optimizing strain sensor placement in wearable motion tracking systems is presented. By combining dense strain mapping with a genetic algorithm, the method discovers counterintuitive yet highly effective configurations that reduce joint angle error by 32%.
Minu Kim, Juhyung Ahn, Jieun Seo, Steve Park, Joo Yong Sim   +4 more
wiley   +1 more source

Fully distributed adaptive event-triggered control with delay-aware dynamic thresholds for islanded AC microgrids. [PDF]

Sci Rep
Sajjadinezhad Z, Dehkordi NM.
europepmc   +1 more source

Iterative Data Curation for Machine Learning‐Based Inverse Design of Active Composite Plates for Four‐Dimensional Printing

Advanced Intelligent Systems, EarlyView.
A machine learning framework is developed for the inverse design of 4D‐printed active composite plates. It utilizes a forward model to predict shapes from patterns and an inverse model to suggest initial patterns for desired shapes. This framework integrates a genetic algorithm to refine the predicted patterns, ensuring higher accuracy in achieving ...
Teerapong Poltue, Chao Zhang, Frédéric Demoly, Kun Zhou, H. Jerry Qi   +4 more
wiley   +1 more source

Physics-informed hybrid reinforcement learning for estimating lithium-ion battery state of health. [PDF]

Sci Rep
Salem NM, Mohamed A.
europepmc   +1 more source

Performance of Omega-Gate nanowire applied to Low-Dropout Voltage Regulators: A Study Based on Experimental Data

Pedro Henrique Penna da Silva, João Antônio Martino, Paula Ghedini Der Agopian   +2 more
openalex   +2 more sources

The effects of X-radiation in a quasi-low-dropout voltage regulator

, 2019
Vladimir Dj. Vukić
openalex   +1 more source

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source