Results 181 to 190 of about 1,402 (277)

AI-Driven Decision Support Framework for Preventing Medical Equipment Failure and Enhancing Patient Safety: A New Perspective. [PDF]

J Multidiscip Healthc
Alkhatib SA, Katmah R, Kosaji D, Afzal SUB, Tariq MH, Simsekler MCE, Ellahham S.   +6 more
europepmc   +1 more source

Eksplorasi Deteksi Anomali dan Prediksi Kegagalan Equipment untuk Predictive Maintenance (PdM) Menggunakan Machine Learning (Studi Kasus Raw Mill pada PT X)

Sistem raw mill merupakan sistem krusial dalam produksi semen di PT X. Saat ini, perusahaan menggunakan sistem pemeliharaan berbasis preventif dan terjadwal.
Prasetyo, Moh. Bayu Aji
core  

A Data‐Driven Inverse Design Methodology for Magnetic Soft Millirobots Navigating in Confined Spaces

Advanced Science, EarlyView.
A data‐efficient inverse design framework automates the optimization of magnetic soft millirobots for confined‐space navigation. Integrating a physics‐based Cosserat rod model with Bayesian optimization efficiently identifies high‐performance geometries.
Ziyu Ren, Hong Wang, Chak Wang Tse, Yi Zheng, Xi Chen, Wenqi Hu   +5 more
wiley   +1 more source

AI-driven pilot platforms and computational pharmaceutics: accelerating innovation in small molecule drug development under industry 4.0 and 5.0 paradigms. [PDF]

Front Pharmacol
Luo K, Yang Y, Chachar S, Zhong C, Chen M, Xiong J, He L, Liu D, Baloch SK, Elshoura I, Chachar Z, Cai Y, Huang F.   +12 more
europepmc   +1 more source

Bilateral SERS‐Microneedle Patch for Co‐Diagnosis of Diabetes Mellitus and Tuberculosis Comorbidity

Advanced Science, EarlyView.
Our study introduced a U@mP@Au‐mediated bilateral SERS‐microneedle patch for analyzing glucose levels from ISF and sensitively detecting TB biomarkers from sputum, respectively. This integrated dual‐analyte detecting platform can be used for co‐diagnosis of diabetes mellitus (DM) and tuberculosis (TB) comorbidity, which was demonstrated in ex vivo ...
Xueqin Huang, Lingzhi Chen, Jing Xu, Jiaqi Yu, Shanze Chen, Huaihong Cai, Yanguang Cong, Pinghua Sun, Jiang Pi, Lang Rao, Jierong Chen, Junxia Zheng, Haibo Zhou   +12 more
wiley   +1 more source

Comparison of deep learning models for predictive maintenance in industrial manufacturing systems using sensor data. [PDF]

Sci Rep
Li W, Li T.
europepmc   +1 more source

Dielectric‐Confinement‐Induced in‐Plane Photoelectric Anisotropy in Isotropic Quasi‐1D γ‐GaS Nanoribbon

Advanced Science, EarlyView.
We investigate the geometry‐governed optoelectronic anisotropy arising from dielectric confinement in quasi‐1D γ‐GaS nanoribbons with intrinsically isotropic atomic structures. Dielectric mismatch between the nanoribbon and its surroundings leads to a general polarization‐dependent photoresponse during near‐field scattering.
Jiawei Jing, Jiamei Chen, Xing Xin, Peisong Peng, Zhihao Wu, Weiheng Zhong, Hanyu Zhang, Wanfu Shen, Jihua Zhang, Yuwei Shan, Yuanzheng Li, Xingang Zhao, Wei Xin, Fang Wang, Weida Hu, Haiyang Xu, Yichun Liu   +16 more
wiley   +1 more source

Predictive Maintenance System to RUL Prediction of Li-Ion Batteries and Identify the Fault Type of Brushless DC Electric Motor from UAVs. [PDF]

Sensors (Basel)
Andrioaia DA.
europepmc   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Multilayer GNN for predictive maintenance and clustering in power grids. [PDF]

iScience
Kazim M, Pirim H, Le C, Le T, Yadav OP.
europepmc   +1 more source