Results 101 to 110 of about 15,501 (203)

A simple 2D-QSPR model for the prediction of Setschenow constants of organic compounds

Macedonian Journal of Chemistry and Chemical Engineering, 2016
A quantitative structure-property relationship (QSPR) analysis of the Setschenow constants (Ksalt) of organic compounds in a sodium chloride solution was carried out using only two-dimensional (2D) descriptors as input parameters.
Qi Xu, Lingling Fan, Jie Xu
doaj   +1 more source

multilinear least squares regression

Citation: 'multilinear least squares regression' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.10152 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms ...
openaire   +1 more source

Precipitation Modeling of Gwadar Port Baluchistan for Environmental Sustainability using Multilinear Regression Analysis Technique

NUST Journal of Social Sciences and Humanities, 2022
Precipitation is the main source of fresh water in the water cycle. Climate change, because of global warming and the consequent change in the water cycle, is a global security issue. It would significantly influence water and food security.
Erum Aamir, Farah Naz, Fasiha Safdar
doaj  

EEG data classification using multilinear regression model

, 2020
Beyin Bilgisayar Arayüzleri (BCI), kişilerin, sinir sistemlerini kullanmaksızın,elektromekanik veya nöroprostetik bir cihazı bilgisayar yardımıyla denetlemelerini sağlayan sistemlerdir. Kafaderisi üzerine yerleştirilen elektrotlardan elde edilen ve Elektroansefalogram (EEG) adı verilen elektriksel kayıtlar sayesinde beyin dokuları hakkındabilgi ...
openaire   +1 more source

Multilinear subspace regression: an orthogonal tensor decomposition approach

, 2011
25th Annual Conference on Neural Information Processing ...
Zhao, Qibin, Caiafa, César Federico, Mandic, Danilo P., Zhang, Liqing, Ball, Tonio, Schulze Bonhage, Andreas, Cichocki, Andrzej   +6 more
openaire   +1 more source

Remote Prediction of Soybean Yield Using UAV-Based Hyperspectral Imaging and Machine Learning Models

AgriEngineering
Early soybean yield estimation has become a fundamental tool for market policy and food security. Considering a heterogeneous crop, this study investigates the spatial and spectral variability in soybean canopy reflectance to achieve grain yield ...
Adilson Berveglieri, Nilton Nobuhiro Imai, Fernanda Sayuri Yoshino Watanabe, Antonio Maria Garcia Tommaselli, Glória Maria Padovani Ederli, Fábio Fernandes de Araújo, Gelci Carlos Lupatini, Eija Honkavaara   +7 more
doaj   +1 more source

Estimating Maximally Probable Constrained Relations by Mathematical Programming

, 2014
Estimating a constrained relation is a fundamental problem in machine learning. Special cases are classification (the problem of estimating a map from a set of to-be-classified elements to a set of labels), clustering (the problem of estimating an ...
Andres, Bjoern, Qu, Lizhen
core  

Non-Invasive Methodology to Estimate Polyphenol Content in Extra Virgin Olive Oil Based on Stepwise Multilinear Regression. [PDF]

Sensors (Basel), 2018
Martínez Gila DM, Cano Marchal P, Gómez Ortega J, Gámez García J.   +3 more
europepmc   +1 more source

Disease Prediction System using Support Vector Machine and Multilinear Regression

SSRN Electronic Journal, 2020
Md. Ehtisham Farooqui, Dr. Jameel Ahmad
openaire   +1 more source

Globally Convergent Accelerated Algorithms for Multilinear Sparse Logistic Regression with $${{\ell}}_{0}$$-Constraints

arXiv admin note: text overlap with arXiv:2308 ...
Yang, Weifeng, Min, Wenwen
openaire   +2 more sources