Results 41 to 50 of about 6,112,119 (319)
Multi-objective optimisation for receiver operating characteristic analysis
, 2013 Copyright © 2006 Springer-Verlag Berlin Heidelberg. The final publication is available at link.springer.comSummary Receiver operating characteristic (ROC) analysis is now a standard tool for the comparison of binary classifiers and the selection ...
Richard M. Everson +3 more
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Multi‐objective contractor's ranking by applying the Moora method
Journal of Business Economics and Management, 2008 Construction, taking off, maintenance and facilities management of a building is a typical example of consumer sovereignty: the new owner likes to have a reasonable price to pay, to have confidence in the contractor, to know about the duration of the ...
Willem Karel M. Brauers +3 more
doaj +1 more source
Enhancing semantics with multi‐objective reinforcement learning for video description
Electronics Letters, 2021 Video description is challenging due to the high complexity of translating visual content into language. In most popular attention‐based pipelines for this task, visual features and previously generated words are usually concatenated as a vector to ...
Qinyu Li +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa +8 more
wiley +1 more source
A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho +7 more
wiley +1 more source
Hybrid behavioural-based multi-objective space trajectory optimization
, 2009 In this chapter we present a hybridization of a stochastic based search approach for multi-objective optimization with a deterministic domain decomposition of the solution space.
Vasile, M., Vasile, Massimiliano
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye +33 more
wiley +1 more source
Multi-objective Optimization and its Engineering Applications [PDF]
, 2005 Many practical optimization problems usually have several conflicting objectives. In those multi-objective optimization, no solution optimizing all objective functions simultaneously exists in general.
Nakayama, Hirotaka
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Farm Planning by Fuzzy Multi Objective Programming Model [PDF]
Journal of Agricultural Science and Sustainable Production, 2010 In current study, Fuzzy Goal Programming (FGP) model by considering a set of social and economic goals, was applied to optimal land allocation in Koshksaray district, Marand city, East Azarbaijan province, Iran.
m Raei Jadidi, m Sabuhi Sabuni
doaj
MultiMiTar: a novel multi objective optimization based miRNA-target prediction method. [PDF]
PLoS ONE, 2011 BACKGROUND: Machine learning based miRNA-target prediction algorithms often fail to obtain a balanced prediction accuracy in terms of both sensitivity and specificity due to lack of the gold standard of negative examples, miRNA-targeting site context ...
Ramkrishna Mitra +1 more
doaj +1 more source