Results 81 to 90 of about 936,845 (197)

Establishment of amachine learning-based precision recruitment method at the county level

Zhongguo shuxue zazhi
[Objective] To establish a machine learning-based precision blood donor recruitment model at the county level and assess its generalizability and applicability.
FU Xiaoyan, ZHANG Zihan, ZHAO Fang, ZHOU Chunlan, LIANG Wenbiao, YU Cheng, YAN Yingzhi, SI Wei, TAN Weibin, XUE Hui   +9 more
doaj   +1 more source

AI at Ames: Artificial Intelligence research and application at NASA Ames Research Center, Moffett Field, California, February 1985 [PDF]

Charts are given that illustrate function versus domain for artificial intelligence (AI) applications and interests and research area versus project number for AI research.
Andrews, Alison E.
core   +1 more source

Pd2 + –doped WO3 nanowires for enhanced triethylamine sensing: low-concentration detection enabled at reduced operating temperatures

Next Materials
Noble metals are often used as sensitizers for gas sensing materials, accompanied by multiple sensitization mechanisms. Unlike conventional noble metal surface loading, this work reports a material system in which Pd2+ are doped into the WO3 lattice and ...
Bo Zhang, Zihan Li, Qi Lu, Yanan Xiao, Hao Shen, Yi Ni, Yuechen Liu, Haitao Song   +7 more
doaj   +1 more source

Enhanced Cross-stage-attention U-Net for esophageal target volume segmentation

BMC Medical Imaging
Purpose The segmentation of target volume and organs at risk (OAR) was a significant part of radiotherapy. Specifically, determining the location and scale of the esophagus in simulated computed tomography images was difficult and time-consuming ...
Xiao Lou, Juan Zhu, Jian Yang, Youzhe Zhu, Huazhong Shu, Baosheng Li   +5 more
doaj   +1 more source

The role of artificial intelligence techniques in scheduling systems [PDF]

Artificial Intelligence (AI) techniques provide good solutions for many of the problems which are characteristic of scheduling applications. However, scheduling is a large, complex heterogeneous problem.
Britt, Daniel L., Geoffroy, Amy L., Gohring, John R.   +2 more
core   +1 more source

AE-BPNN: autoencoder and backpropagation neural network-based model for lithium-ion battery state of health estimation

Scientific Reports
Lithium-ion (Li-ion) batteries play a crucial role in modern energy storage systems, with their performance and longevity heavily dependent on accurately assessing their State of Health (SOH). Electrochemical Impedance Spectroscopy (EIS) has emerged as a
Abdullah Ahmed Al-Dulaimi, Muhammet Tahir Guneser, Raghad Al-Shabandar, Yeonghyeon Gu, Muhammad Syafrudin, Norma Latif Fitriyani   +5 more
doaj   +1 more source

TANS: A Tolerance-Aware Neighborhood Search Method for Workflow Scheduling with Uncertainties in Cloud Manufacturing

Mathematics
In this paper, we consider the workflow scheduling problem with soft deadlines and fuzzy time uncertainties in cloud manufacturing environments. Workflow tasks in cloud manufacturing often involve uncertain execution and logistics times due to large ...
Haiyan Xu, Fanhao Ma, Long Chen
doaj   +1 more source

A Study on Enhancing the Visual Fidelity of Aviation Simulators Using WGAN-GP for Remote Sensing Image Color Correction

Applied Sciences
When implementing outside-the-window (OTW) visuals in aviation tactical simulators, maintaining terrain image color consistency is critical for enhancing pilot immersion and focus.
Chanho Lee, Hyukjin Kwon, Hanseon Choi, Jonggeun Choi, Ilkyun Lee, Byungkyoo Kim, Jisoo Jang, Dongkyoo Shin   +7 more
doaj   +1 more source

Application of artificial intelligence in intelligent healthcare

Guangxi Yike Daxue xuebao
The artificial intelligence (AI) -based healthcare system, by integrating multi-phase temporal data, multi-modal imaging features, and multidimensional bioinformatics parameters, demonstrates great potential to continuously optimize existing clinical practice paradigms and drive systemic transformations in healthcare.
WANG Zuheng, WEI Chunmeng, LU Wenhao, LI Xiao, WANG Fubo   +4 more
openaire   +1 more source

Clinical Applications of Artificial Intelligence in Cardiovascular Imaging: Where Do We Stand? [PDF]

Life (Basel)
Singhal AA, Bowyer-Howell T, Sabharwal N, Lewis A, Mitchell ARJ, Rider O, Henry JA.   +6 more
europepmc   +1 more source