Results 121 to 130 of about 1,270,490 (317)

An explainable artificial intelligence feature selection framework for transparent, trustworthy, and cost-efficient energy forecasting

Energy and AI
Accurate forecasting of renewable power generation is crucial for grid stability and cost efficiency. Feature selection in AI-based forecasting remains challenging due to high data acquisition cost, lack of transparency, and limited user control.
Leonard Kost, Sarah K. Lier, Michael H. Breitner   +2 more
doaj   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source

Estimation of health impact from digitalizing last-mile Logistics Management Information Systems (LMIS) in Ethiopia, Tanzania, and Mozambique: A Lives Saved Tool (LiST) model analysis. [PDF]

PLoS One, 2021
Fritz J, Herrick T, Gilbert SS.
europepmc   +1 more source

A polygen model for heterogeneous database systems : the source tagging perspective [PDF]

, 1990
Includes bibliographical references (p. 26-29).Supported in part by MIT's Financial Service Research Center, MIT's Center for Information Systems Research, and MIT's LCS Digital Library Project.Y.

core  

International Conference on Industry, Engineering, and Management Systems (2004 : Cocoa Beach, Fla.)

, 2004
Digitized and published in SOAR: Shocker Open Access Repository by Wichita State University Libraries Technical Services, May 2022.The IEMS'04 conference committee: California State University Stanislaus Department of Management, Operations, and ...
International Conference on Industry, Engineering, and Management Systems
core   +1 more source

Diffusion Spectrum Imaging Maps Early Axonal Loss and a Unique Progressive Signal in Neuronal Intranuclear Inclusion Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang, Yixiu Pei, Xiaobao Hu, Ying Xiong, Fang Wang, Yanyan Yu, Min Zhu, Dandan Tan, Meihong Zhou, Daojun Hong, Fuqing Zhou   +10 more
wiley   +1 more source

Information security strategy in telemedicine and e-health systems: A case study of England’s shared electronic health record system

, 2010
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University, 9/11/2010.Shared electronic health record (EHR) systems constitute an important Telemedicine and e-Health application. Successful implementation of shared
Mohammad, Yara Mahmoud
core  

The Determinants and Impacts of Aesthetics in Users’ First Interaction with Websites

, 2016
10.1080/07421222.2016.1172443Journal of Management Information Systems331229 ...
Wang, Weiquan, Weiquan Wang, Jiang, Zhenhui (Jack), Bernard Tan, Zhenhui (Jack) Jiang, Jie Yu, Tan, Bernard C.Y., Yu, Jie   +7 more
core   +1 more source

Ensemble-based high-performance deep learning models for medical image retrieval in breast cancer detection

Scientific Reports
As digital imaging in healthcare grows quickly, dealing with vast medical image data is getting trickier. Content-Based Medical Image Retrieval (CBMIR) systems help with this, but they struggle because of the gap between simple image details and what ...
Aya E. Fawzy, Mohammed E. Almandouh, Mostafa Herajy, Mohamed Eisa   +3 more
doaj   +1 more source

CX3CL1 in Early Detection of Alzheimer's Disease: Plasma Dynamics Across Age and Disease Stages

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Backgrounds Alzheimer's disease (AD) is characterized by amyloid‐beta plaques, tau tangles, and neuroinflammation. C‐X3‐C motif chemokine ligand 1 (CX3CL1, also known as fractalkine), a neuroimmune chemokine implicated in AD pathogenesis, shows inconsistent alterations in plasma/serum across studies.
Ling Wang, Yujie Liu, Fei Li, Xuelin Li, Lanlan Li, Jie Zhang, Yali Xu   +6 more
wiley   +1 more source