Results 81 to 90 of about 12,024 (199)

DesMol2, an Effective Tool for the Construction of Molecular Libraries and Its Application to QSAR Using Molecular Topology

Molecules, 2019
A web application, DesMol2, which offers two main functionalities, is presented: the construction of molecular libraries and the calculation of topological indices.
Inma García-Pereira, Riccardo Zanni, Maria Galvez-Llompart, Jorge Galvez, Ramón García-Domenech   +4 more
doaj   +1 more source

Machine learning models for predicting unconfined compressive strength: A case study for Precambrian basement complex rocks from Ado-Ekiti, Southwestern Nigeria

Scientific African, 2023
This study investigates the applicability of four distinct machine learning (ML) models – Random Forest (RF), Relevance Vector Machine (RVM), Support Vector Machine (SVM), and Artificial Neural Network (ANN) - for predicting the unconfined compressive ...
Lekan Olatayo Afolagboye, Damilola Emmanuel Ajayi, Inioluwa Opeyemi Afolabi   +2 more
doaj   +1 more source

Improving Efficiency in Convolutional Neural Network with Multilinear Filters

, 2017
The excellent performance of deep neural networks has enabled us to solve several automatization problems, opening an era of autonomous devices. However, current deep net architectures are heavy with millions of parameters and require billions of ...
Gabbouj, Moncef, Iosifidis, Alexandros, Tran, Dat Thanh   +2 more
core   +1 more source

Tailoring Biomass‐Derived Organosolv Lignin Derivatives for High‐Capacity Adsorption of Rhodamine B

ChemSusChem, Volume 19, Issue 4, 25 February 2026.
Organosolv lignin derivatives modified with phenolic compounds were synthesized via a one‐step lignin‐first approach and evaluated as renewable adsorbents for removing Rhodamine B dye from water. Among them, resorcinol‐modified lignin showed the highest adsorption capacity (101 mg g−1), driven by high surface area, pore volume, and accessible hydroxyl ...
Sayantani Bhattacharya, Maxim Galkin, Michelle Åhlén, Maria Strømme, Johan Gising   +4 more
wiley   +1 more source

A Deterioration Model for Sewer Pipes Using CCTV and Artificial Intelligence

Buildings, 2023
Sewer pipeline failures pose significant threats to the environment and public health. To tackle these repercussions, many deterioration models have been developed to predict the conditions of sewer pipes, most of which are based on CCTV inspection ...
Comfort Salihu, Saeed Reza Mohandes, Ahmed Farouk Kineber, M. Reza Hosseini, Faris Elghaish, Tarek Zayed   +5 more
doaj   +1 more source

Mapping the spatial variability of rainfall from a physiographic-based multilinear regression: model development and application to the Southwestern Iberian Peninsula

Environmental Monitoring and Assessment, 2022
A physiographic-based multilinear regression model supported by GIS was developed to estimate spatial rainfall variability in the Southwest Iberian Peninsula. The area study includes a wide diversity of landscape features and comprises four Portuguese regions and one Spanish province (totalizing 28,860 km2).
Verónica Ruiz-Ortiz, Jorge M. G. P. Isidoro, Helena Maria Fernandez, Fernando M. Granja-Martins, Santiago García-López   +4 more
openaire   +4 more sources

Fast Retrieval of Cloud Optical Depth From Polarimetry and Multi‐Spectral Imagery That Accounts for Cloud Heterogeneity Using 3D Radiative Transfer

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 3, 16 February 2026.
Abstract We present a method for retrieving cloud optical depth that applies 3D radiative transfer to utilize the combination of polarimetry and multi‐spectral imagery that is newly available from satellite missions such as the Plankton, Aerosol, Cloud, Ocean, Ecosystem (PACE) Mission. Due to the approximate spectral invariance of scattering by clouds,
Jesse Loveridge, Christine Chiu, Alexander Marshak   +2 more
wiley   +1 more source

Recurrence Multilinear Regression Technique for Improving Accuracy of Energy Prediction in Power Systems

Energies
This paper demonstrates how artificial intelligence can be implemented in order to predict the energy needs of daily households using both multilinear regression (MLR) and single linear regression (SLR) methods.
Quota Alief Sias, Rahma Gantassi, Yonghoon Choi, Jeong Hwan Bae   +3 more
doaj   +1 more source

Estimation of the GCV of Coal Using Real‐Time Plant Data

Energy Science &Engineering, Volume 14, Issue 2, Page 905-915, February 2026.
ABSTRACT Online or real‐time strategies of estimating the gross calorific value (GCV) of coal are still not fully explored in academic literature, even though both conventional and sophisticated offline methods for estimating the GCV are well described.
Lethukuthula Nokwazi Vilakazi, Daniel Madyira   +1 more
wiley   +1 more source

Climate Change Alters Teleconnections

Geophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract Internal modes of climate variability, such as El Niño and the North Atlantic Oscillation (NAO), can have strong influences upon distant weather patterns, effects that are referred to as “teleconnections.” The extent to which anthropogenic climate change has and will continue to affect these teleconnections, however, remains uncertain.
E. Vos, P. Huybers, E. Tziperman
wiley   +1 more source