Results 161 to 170 of about 997,756 (304)

A Systematic Review of the Use of Artificial Intelligence Systems for Assessing Multiple Parameters During the Ultrasound Evaluation of Fetal Growth. [PDF]

Diagnostics (Basel)
Cârlig O, Iovoaica-Rămescu C, Claustel Jurma F, Iliescu DG.   +3 more
europepmc   +1 more source

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source

Impact of a new image enhancement technology on the biometric measurements in pregnancy. [PDF]

Arch Gynecol Obstet
Elger T, Bettecken K, Prodan N, Sonek J, Hoopmann M, Kagan KO.   +5 more
europepmc   +1 more source

Design and Comparison of Transient Excitation Sequences for Zero Speed Sensorless Control of Ac Machines

, 2006
- High dynamic and controlled operation of ac machines implies the presence of a speed or position encoder mounted to the rotor shaft. Omitting this sensor in the speed range around zero frequency so far is only possible by exploiting the high frequency ...
Machl, Jürgen, Wolbank, Thomas M.
core  

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

Advanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su, Yanda Zhu, Hao Peng, Manman Li, Xuzihan Zhang, Meixiao Wu, Siyuan Zhang, Yuhan Zeng, Jiwen Liao, Ming Luo, Hetaishan Huang, Yutong Wang, Sean Li, Wenxian Li   +13 more
wiley   +1 more source

Kidney replacement therapy for acute kidney injury in low-resource settings: Lessons from Africa. [PDF]

World J Nephrol
Abdelhamid YM, Fayed A, Mayamba Nlandu Y, Ghosh S.   +3 more
europepmc   +1 more source

Human‐Guided Bayesian Optimization Enables High‐Throughput Laser Annealing of Mesoporous SiOx Anodes for Lithium‐Ion Batteries

Advanced Science, EarlyView.
An empirical‐aided active learning framework is developed to optimize high‐throughput laser‐induced photothermal annealing of silicon suboxide anodes. By integrating probabilistic machine learning with empirical domain knowledge, this approach achieves optimal electrochemical performance using limited experiments.
Chaeyoung Park, Yeongje Lee, Sunho Jeong, Eungkyu Lee   +3 more
wiley   +1 more source

Ionic Liquid-Assisted Acetylated Xylan Coatings Reinforced with CuO and ZnO Nanoparticles for Food Packaging Papers. [PDF]

Polymers (Basel)
Nechita P, Năstac SM.
europepmc   +1 more source

A High‐Resolution Self‐Powered Angular Displacement Sensor Based on Triboelectric Nanogenerator With Time‐Grating

Advanced Science, EarlyView.
A self‐powered phase‐encoding sensing paradigm enables direct motion‐to‐time information conversion, providing a compact and autonomous strategy for high resolution angular displacement measurement. ABSTRACT In modern manufacturing and engineering, angular displacement sensors are crucial for motion control and feedback systems in Electromechanical ...
Shuxian Wang, Donghang An, Shiyou Liu, Zhiyi Wu   +3 more
wiley   +1 more source

Enhanced voltage regulation and current sharing of radial DC microgrids. [PDF]

Sci Rep
Mowafy IA, El-Ebiary AH, Attia M, Abdelaziz AY.   +3 more
europepmc   +1 more source