Results 1 to 10 of about 119,457 (222)

Regression Models for Predicting the Global Warming Potential of Thermal Insulation Materials

Buildings, 2023
The impacts and benefits of thermal insulations on saving operational energy have been widely investigated and well-documented. Recently, many studies have shifted their focus to comparing the environmental impacts and CO2 emission-related policies of ...
Ibrahim Tajuddeen, Seyed Masoud Sajjadian, Mina Jafari   +2 more
doaj   +1 more source

A Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions

Remote Sensing, 2022
The effects of the spatial resolution of remote sensing (RS) data on wildfire susceptibility prediction are not fully understood. In this study, we evaluate the effects of coarse (Landsat 8 and SRTM) and medium (Sentinel-2 and ALOS) spatial resolution ...
Sepideh Tavakkoli Piralilou, Golzar Einali, Omid Ghorbanzadeh, Thimmaiah Gudiyangada Nachappa, Khalil Gholamnia, Thomas Blaschke, Pedram Ghamisi   +6 more
doaj   +1 more source

Mapping Arctic Sea-Ice Surface Roughness with Multi-Angle Imaging SpectroRadiometer

Remote Sensing, 2022
Sea-ice surface roughness (SIR) is a crucial parameter in climate and oceanographic studies, constraining momentum transfer between the atmosphere and ocean, providing preconditioning for summer-melt pond extent, and being related to ice age and ...
Thomas Johnson, Michel Tsamados, Jan-Peter Muller, Julienne Stroeve   +3 more
doaj   +1 more source

Skew-symmetric matrices related to the vector cross product in ℂ7

Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2023
Skew-symmetric matrices of order 7 defined through the 2-fold vector cross product in ℂ7, and other related matrices, are presented. More concretely, matrix properties, namely invertibility, nullspace, powers and index, are studied.
Beites P. D., Nicolás A. P., Vitória José   +2 more
doaj   +1 more source

Predictive models for charitable giving using machine learning techniques. [PDF]

PLoS ONE, 2018
Private giving represents more than three fourths of all U.S. charitable donations, about 2% of total Gross Domestic Product (GDP). Private giving is a significant factor in funding the nonprofit sector of the U.S.
Leily Farrokhvar, Azadeh Ansari, Behrooz Kamali   +2 more
doaj   +1 more source

Comprehensive Comparison of TF-IDF and Word2Vec in Product Sentiment Classification Using Machine Learning Models

Journal of Applied Informatics and Computing
Sentiment analysis supports data-driven decisions by turning product reviews into reliable polarity labels. We compare four text representations, TF-IDF, TF-IDF reduced via SVD, Word2Vec (trained from scratch), and a hybrid TF-IDF(SVD-300). Word2Vec, for
Asra Gretya Sinaga, Robet Robet, Octara Pribadi   +2 more
doaj   +1 more source

Transformer-Type Architecture for Predicting Physicochemical Properties of Cosmetic Emulsions. [PDF]

ACS Omega
Solarte S, Porras A, Pradilla D, Alvarez Solano OA.   +3 more
europepmc   +1 more source

Enhancing products performance evaluation through hybrid DistilRoBERTa and BiGRU models. [PDF]

PLoS One
Ullah S, Khan A, Ullah A, Khan MN, Chohan RT, Aadil F, Khan KU.   +6 more
europepmc   +1 more source

Identifying factors associated with vaping cessation in young adults: A machine learning and XAI approach. [PDF]

PLOS Digit Health
Satheeshkumar PS, Lango I, Zafo S, Ebanks M, Das RK, Cheung KW, Pili R, Mahajan SD.   +7 more
europepmc   +1 more source

Machine Learning Models for Objective Assessment of Vascular Anastomoses Using Computational Fluid Dynamics for Surgical Skill Training-A Retrospective Study. [PDF]

J Clin Med
Kiss-Pápai L, Reich S, Varga J, Oosterlinck W, Gloviczki P, Gasz B.   +5 more
europepmc   +1 more source