Results 101 to 110 of about 15,675 (200)

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

A regression‐based waveform interpretation model for accurate soil moisture estimation under incomplete time domain reflectometry probe insertions

Vadose Zone Journal, Volume 25, Issue 3, May/June 2026.
Abstract Time domain reflectometry (TDR) is widely used and provides accurate estimates of soil moisture when sensor rods are fully inserted into the soil. However, automation of sensor insertions, especially in field conditions, is hindered by inaccuracies caused by possible incomplete sensor rod insertion, which distorts waveforms and leads to ...
Ousswa Chouchane, Cody Pacquette, Scott B. Jones, Sierra Young, Parvez Rashid, Hemanth Narayan Dakshinamurthy   +5 more
wiley   +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   +2 more sources

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  

Driving Factors Behind Airbnb Pricing - A Multilinear Regression Analysis

, 2023
Med en ständigt ökande användarskara, i världens ständigt expanderande delningsekonomi, har Airbnb blivit en allt vanligare lösning för korttidsuthyrning av boenden. På denna marknad är det värdens uppgift att välja en prissättning som tillräckligt motsvarar vad hyresgästerna är villiga att betala.
Flöjs, Johan, Herrgård, Jonathan
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

Surface temperatures and glassy state investigations in tribology, part 4 [PDF]

Measurements were made of the limiting shear stress for two naphthenic oils of differing molecular weight and three blends of the lower molecular weight oil and polyalkylmethacrylate polymers of differing molecular weight.
Bair, S. S., Winer, W. O.
core   +1 more source

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

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

IMPUTATION OF TIME-VARYING EDGE FLOWS IN GRAPHS BY MULTILINEAR KERNEL REGRESSION AND MANIFOLD LEARNING

Signal Processing
This paper extends the recently developed framework of multilinear kernel regression and imputation via manifold learning (MultiL-KRIM) to impute time-varying edge flows in a graph. MultiL-KRIM uses simplicial-complex arguments and Hodge Laplacians to incorporate the graph topology, and exploits manifold-learning arguments to identify latent geometries
Duc Thien Nguyen, Konstantinos Slavakis, Dimitris Pados   +2 more
openaire   +2 more sources