Results 91 to 100 of about 12,139 (206)
Dictionary-based Tensor Canonical Polyadic Decomposition
, 2017 To ensure interpretability of extracted sources in tensor decomposition, we introduce in this paper a dictionary-based tensor canonical polyadic decomposition which enforces one factor to belong exactly to a known dictionary.
Cohen, Jérémy E., Gillis, Nicolas
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Expert Systems, Volume 43, Issue 6, June 2026.ABSTRACT Accurately assessing the energy consumption associated with public buildings and the services they provide is essential for supporting sustainable infrastructure planning. This work presents an integrated modelling framework that combines machine learning prediction of building energy use with a graph based representation of user mobility ...
Valerio Bellandi +6 more
wiley +1 more source
Beating the Perils of Non-Convexity: Guaranteed Training of Neural Networks using Tensor Methods [PDF]
, 2015 Training neural networks is a challenging non-convex optimization problem, and backpropagation or gradient descent can get stuck in spurious local optima.
Anandkumar, Anima +2 more
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Heterogeneous Responses of High‐Latitude Forest Productivity to Interannual Climate Variability
Geophysical Research Letters, Volume 53, Issue 9, 16 May 2026.Abstract Amplified warming has altered the phenology and structure of high‐latitude forests, yet their carbon uptake responses to environmental variations remain uncertain. Using satellite observations of solar‐induced chlorophyll fluorescence (SIF), we quantify interannual variations in growing‐season (GS) productivity of these forests and their ...
Ke Liu +4 more
wiley +1 more source
Water Quality Index Estimation Model for Aquaculture System Using Artificial Neural Network [PDF]
Journal of Advances in Computer Engineering and Technology, 2019 Water Quality plays an important role in attaining a sustainable aquaculture system, its cumulative effect can make or mar the entire system. The amount of dissolved oxygen (DO) alongside other parameters such as temperature, pH, alkalinity and ...
Taliha Folorunso +4 more
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Energies, 2019 In order to reduce the calculation effort during the simulation of the emission of polychlorinated dibenzo-p-dioxins and furans (PCDD/F) during municipal solid waste incineration, minimizing the number of simulated components is mandatory.
Damià Palmer +5 more
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Nigerian Journal of Technology, 2018 The application of Multi-Linear Regression Analysis (MLRA) model for predicting soil properties in Calabar South offers a technical guide and solution in foundation designs problems in the area. Forty-five soil samples were collected from fifteen different boreholes at a different depth and 270 tests were carried out for CBR, MC, SG, LL, PL test and GS
Egbe, J.G. +4 more
openaire +3 more sources
Local Quadrupole Ellipticity as Predictor of Anion‐Affinity in Nanographenes
Journal of Computational Chemistry, Volume 47, Issue 13, 15 May 2026.Anion affinity in nanographenes arises from anion–π interactions in electron‐deficient regions and CH‐‐‐anion hydrogen bonds in electron‐rich domains. Quadrupole moments help describe these interactions but have limitations in polycyclic systems. A regression model based on local quadrupole ellipticity predicts binding energies, highlighting local ...
Omkar Charapale +3 more
wiley +1 more source
Molecules, 2020 Novel machine learning and molecular modelling filtering procedures for drug repurposing have been carried out for the recognition of the novel fungicide targets of Cyp51 and Erg2.
Ozren Jović, Tomislav Šmuc
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Tensor Networks for Big Data Analytics and Large-Scale Optimization Problems [PDF]
, 2014 In this paper we review basic and emerging models and associated algorithms for large-scale tensor networks, especially Tensor Train (TT) decompositions using novel mathematical and graphical representations. We discus the concept of tensorization (i.e.,
Cichocki, Andrzej
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