Results 41 to 50 of about 1,591,625 (316)
Computing the Optimal Solution of Technology Selection Model with Fuzzy Data [PDF]
مدیریت بهره وری, 2009 This paper introduces a method to find the optimal solution of technology selection model with fuzzy data. The paper suggests a simple computational method to obtain the optimal solution of fuzzy linear programming (LP) problem used in technology ...
Sahand Daneshvar, Sahar Khoshfetrat
doaj
PLoS ONE, 2017 The Norwegian Lundehund is a highly endangered native dog breed. Low fertility and high frequency predisposition to intestinal disorder imply inbreeding depression.
Anne Kettunen +3 more
doaj +1 more source
How weak values emerge in joint measurements on cloned quantum systems [PDF]
, 2012 A statistical analysis of optimal universal cloning shows that it is possible to identify an ideal (but non-positive) copying process that faithfully maps all properties of the original Hilbert space onto two separate quantum systems.
Hofmann, Holger F.
core +2 more sources
On the Effectiveness of Genetic Search in Combinatorial Optimization [PDF]
, 1994 In this paper, we study the efficacy of genetic algorithms in the context of combinatorial optimization. In particular, we isolate the effects of cross-over, treated as the central component of genetic search. We show that for problems of nontrivial size
Carter, Bob, Park, Kihong
core +3 more sources
Big Data and Cognitive Computing, 2023 The aim of this research is to develop an automated pallet inspection architecture with two key objectives: high performance with respect to defect classification and computational efficacy, i.e., lightweight footprint.
Muhammad Hussain
semanticscholar +1 more source
Sparse Contribution Feature Selection and Classifiers Optimized by Concave-Convex Variation for HCC Image Recognition [PDF]
BioMed Research International, 2017 Accurate classification of hepatocellular carcinoma (HCC) image is of great importance in pathology diagnosis and treatment. This paper proposes a concave-convex variation (CCV) method to optimize three classifiers (random forest, support vector machine, and extreme learning machine) for the more accurate HCC image classification results.
Wenbo Pang, Huiyan Jiang, Siqi Li
openaire +2 more sources
An efficient gene selection method for microarray data based on LASSO and BPSO
BMC Bioinformatics, 2019 Background The main goal of successful gene selection for microarray data is to find compact and predictive gene subsets which could improve the accuracy.
Ying Xiong +3 more
doaj +1 more source
Multi-Criteria Service Selection Agent for Federated Cloud
Journal of Communications Software and Systems, 2022 Federated cloud interconnects small and medium-sized cloud service providers for service enhancement to meet demand spikes. The service bartering technique in the federated cloud enables service providers to exchange their services.
S. Sudhakar +4 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács +8 more
wiley +1 more source
The maintenance of genetic diversity in a local cattle breed through optimal contribution selection [PDF]
Acta fytotechnica et zootechnica, 2020 Submitted 2020-07-24 | Accepted 2020-09-09 | Available 2020-12-01 https://doi.org/10.15414/afz.2020.23.mi-fpap.287-295 The present study aimed to evaluate the effects of optimum contribution selection (OCS) in a small native cattle breed. In practical animal breeding, the genetic improvement is often accompanied by an increase of inbreeding level due
Guzzo N. +3 more
openaire +2 more sources