Results 21 to 30 of about 1,072,724 (364)

Identification of selection indices for the yield enhancement in cowpea (Vigna unguiculata (L.) Walp.) under sodic condition

open access: yesElectronic Journal of Plant Breeding, 2021
The experiment was conducted at sodic soils to determine the relationship and degree of direct and indirect effects of yield and yield contributing traits in 57 cowpea accessions along with checks CO (CP) 7, VBN 1 and VBN 3.
J. Sumaiya Sulthana*1, S. Chitra1, T. Thirumurugan1, P. Jeyaprakash1, S. Geethanjali2
doaj   +1 more source

A Novel & Efficient Fusion Based Image Retrieval Model for Speedy Image Recovery [PDF]

open access: yesEAI Endorsed Transactions on Scalable Information Systems, 2020
An efficient and novel image retrieval system is framed here, which retrieve images from massive datasets to overcome the constraints of efficiency and retrieval time.
Shefali Dhingra, Poonam Bansal
doaj   +1 more source

PCA Meets RG [PDF]

open access: yesJournal of Statistical Physics, 2017
A system with many degrees of freedom can be characterized by a covariance matrix; principal components analysis (PCA) focuses on the eigenvalues of this matrix, hoping to find a lower dimensional description. But when the spectrum is nearly continuous, any distinction between components that we keep and those that we ignore becomes arbitrary; it then ...
Serena Bradde   +2 more
openaire   +4 more sources

Elevated Tumor Lactate and Efflux in High-grade Prostate Cancer demonstrated by Hyperpolarized 13C Magnetic Resonance Spectroscopy of Prostate Tissue Slice Cultures. [PDF]

open access: yes, 2020
Non-invasive assessment of the biological aggressiveness of prostate cancer (PCa) is needed for men with localized disease. Hyperpolarized (HP) 13C magnetic resonance (MR) spectroscopy is a powerful approach to image metabolism, specifically the ...
Ahamed, Fayyaz   +12 more
core   +1 more source

Principal Component Analysis (PCA)

open access: yesEncyclopedia of Autism Spectrum Disorders, 2014
• Patternrecognition in high-dimensional spaces-P roblems arise when performing recognition in a high-dimensional space (e.g., curse of dimensionality).-S ignificant improvements can be achievedb yfi rst mapping the data into a lower-dimensionality space.
Alexey L. Pomerantsev
semanticscholar   +1 more source

Agua y Suero Fisiológico para Prevenir la Formación de Paracloroanilina [PDF]

open access: yes, 2015
Indexación: Web of Science; Scielo.ABSTRACT: This study determined if p-chloroaniline (PCA) can be minimized by using distilled water and physiological saline solution following sodium hypochlorite but before chlorhexidine.
Araya, Pilar   +4 more
core   +1 more source

Experimental investigation of 50 MPa reinforced concrete slabs subjected to blast loading

open access: yesIngeniería e Investigación, 2018
This paper presents results from blast tests conducted on four 50 MPa concrete slabs with reinforcement ratios of 0,175% and 0,37%. Two of the slabs were retrofitted with 50 mm thick foam in order to investigate the potential of using the foam as a ...
Fausto Mendonça   +2 more
doaj   +1 more source

Development and Evaluation of an Electronic Nose System Based on MOS Sensors to Detect and to Distinguish Lemon Essential Oils [PDF]

open access: yesJournal of Agricultural Machinery, 2019
Introduction Essences or essential oils are aromatic compounds that are found in different organs of the plants. Essences can be classified into three groups of natural, synthetic and natural like.
P Fayyaz   +3 more
doaj   +1 more source

Calculating Demands of Fruit Trees for Water Using Neural Network Algorithm

open access: yesGuan'gai paishui xuebao, 2022
【Objective】 Knowing the demand of crops for water is a prerequisite in designing saving-water irrigation and improving water management. The aim of this paper is to study the accuracy and reliability of the neural network algorithm for estimating water ...
HE Shulin   +3 more
doaj   +1 more source

Semi-sparse PCA [PDF]

open access: yesPsychometrika, 2019
It is well known that the classical exploratory factor analysis (EFA) of data with more observations than variables has several types of indeterminacy. We study the factor indeterminacy and show some new aspects of this problem by considering EFA as a specific data matrix decomposition.
Eldén, Lars, Trendafilov, Nickolay
openaire   +3 more sources

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