Results 111 to 120 of about 23,690,640 (370)

Development of a Distributed Modeling Framework to Estimate Thermal Comfort along 2020 Tokyo Olympic Marathon Course

Atmosphere, 2018
Heat stress is an issue for marathon races in the summer, such as the one planned for the 2020 Tokyo Summer Olympic games. The Tokyo Metropolitan Government is planning to grow existing street trees’ canopies to enlarge their shade to reduce air ...
Satoshi Hirabayashi, Tsutomu Abe, Fumiko Imamura, Chie Morioka   +3 more
doaj   +1 more source

Expert-Agnostic Learning to Defer [PDF]

arXiv
Learning to Defer (L2D) learns autonomous systems to independently manage straightforward cases, while deferring uncertain cases to human experts. Recent advancements in this field have introduced features enabling flexibility to unseen experts at test-time, but we find these approaches have significant limitations.
arxiv  

Enhancing patient engagement in cancer research: a focus on patient‐centric approaches to scientific discovery

Molecular Oncology, EarlyView.
Patient engagement involves actively including patients in healthcare decisions and research to ensure care and studies align with their needs. This approach improves outcomes, trust, and communication while fostering collaboration between patients and professionals.
Estela Cepeda, Marina Reguero, Vanesa Abón, Marta Puyol   +3 more
wiley   +1 more source

EXPERT SYSTEM FOR MACHINE MAINTENANCE

Advanced Engineering Research, 2007
Architecrure of expert system for technological setting up and trouble shooting for the units and systems of grain combine harvester is offered.
V.P. DIMITROV
doaj  

Optimal Expert Selection for Distributed Mixture-of-Experts at the Wireless Edge [PDF]

arXiv
The emergence of distributed Mixture-of-Experts (DMoE) systems, which deploy expert models at edge nodes, offers a pathway to achieving connected intelligence in sixth-generation (6G) mobile networks and edge artificial intelligence (AI). However, current DMoE systems lack an effective expert selection algorithm to address the simultaneous task-expert ...
arxiv  

Elucidating prognostic significance of purine metabolism in colorectal cancer through integrating data from transcriptomic, immunohistochemical, and single‐cell RNA sequencing analysis

Molecular Oncology, EarlyView.
Low expression of five purine metabolism‐related genes (ADSL, APRT, ADCY3, NME3, NME6) was correlated with poor survival in colorectal cancer. Immunohistochemistry analysis showed that low NME3 (early stage) and low ADSL/NME6 (late stage) levels were associated with high risk.
Sungyeon Kim, Myunghee Kang, Soyeon Jeong, Jisup Kim, Kyoung Oh Kim, Won‐Suk Lee, Jeong‐Heum Baek, Jung Ho Kim, Seungyoon Nam   +8 more
wiley   +1 more source

SmartSolos expert: An expert system for Brazilian soil classification

Smart Agricultural Technology
We have developed an expert system for Brazilian soil classification according to the official taxonomic system in Brazil. It assists in improving soil data quality, which is important for sustainable agriculture.
Glauber José Vaz, Luís de França da Silva Neto, Jayme Garcia Arnal Barbedo   +2 more
doaj  

A functional approach to integrating database and expert systems [PDF]

, 1988
Tore Risch, René Reboh, Peter E. Hart, Richard O. Duda   +3 more
openalex   +1 more source

Exploration of heterogeneity and recurrence signatures in hepatocellular carcinoma

Molecular Oncology, EarlyView.
This study leveraged public datasets and integrative bioinformatic analysis to dissect malignant cell heterogeneity between relapsed and primary HCC, focusing on intercellular communication, differentiation status, metabolic activity, and transcriptomic profiles.
Wen‐Jing Wu, Jianchao Wang, Fuqing Chen, Xuefeng Wang, Bin Lan, Ruyi Fu, Hong Wen, Fangfang Chen, Wei Hong, Tian‐Yu Tang, Ying He, Gang Chen, Jianyin Zhou, Hai‐Long Piao, Di Chen, Shu‐Yong Lin   +15 more
wiley   +1 more source

Improving Energy Efficiency in Manufacturing: A Novel Expert System Shell [PDF]

arXiv
Expert systems are effective tools for automatically identifying energy efficiency potentials in manufacturing, thereby contributing significantly to global climate targets. These systems analyze energy data, pinpoint inefficiencies, and recommend optimizations to reduce energy consumption.
arxiv