Results 91 to 100 of about 259,894 (334)
Forecasting of wheat (Triticum aestivum) yield using ordinal logistic regression
In this study, uses of ordinal logistic model based on weather data has been attempted for forecasting wheat (Triticum aestivum L.) yield in Kanpur district of Uttar Pradesh.
VANDITA KUMARI, AMRENDER KUMAR
doaj +1 more source
Who Are the Consumers of European Farmers' Markets? A Cross‐Country Analysis
ABSTRACT With substantial growth in the number of farmers' markets (FMs) in developed countries, the number of consumers visiting FMs is also increasing. This study comparatively assesses the consumers of FMs in three European countries where FMs traditionally play a distinctive role in food supply chains.
Áron Török +6 more
wiley +1 more source
Semi-parametric bivariate polychotomous ordinal regression [PDF]
A pair of polychotomous random variables (Y1,Y2)⊤=:YY(Y1,Y2)⊤=:YY, where each YjYj has a totally ordered support, is studied within a penalized generalized linear model framework.
Donat, F, Marra, G
core
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani +3 more
wiley +1 more source
BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models
This study presents a bioinspired metaverse point cloud quality assessment metric, which simulates the human visual evaluation process to perform the point cloud quality assessment task. It first extracts rendering projection video features, normal image features, and point cloud patch features, which are then fed into a large multimodal model to ...
Huiyu Duan +7 more
wiley +1 more source
Projection based ensemble learning for ordinal regression [PDF]
The classification of patterns into naturally ordered labels is referred to as ordinal regression. This paper proposes an ensemble methodology specifically adapted to this type of problems, which is based on computing different classification tasks ...
Gutiérrez, Pedro A. +2 more
core
Any multiple Criteria Decision Aiding (MCDA) method needs some preference parameters. The Decision Maker (DM) could be asked to provide directly all these parameters; however, because it needs a great cognitive effort, the indirect preference information is more used in practice. Starting from the indirect preference information, usually there could be
Corrente S +3 more
openaire +3 more sources
This study presents a compact, three IMU wearable system that enables accurate motion capture and robust gait‐feature extraction, thereby supporting reliable machine learning‐based balance evaluation. Accurate assessment of balance is critical for fall prevention and targeted rehabilitation, particularly in older adults and individuals with ...
Seok‐Hoon Choi +8 more
wiley +1 more source
Interactive Tool for Customizing Hydrogel Properties in Practical Applications
This research provides an open‐access tool that enables the scientific community to optimally synthesize hydrogels without requiring expert knowledge, thereby reducing experimental costs. Soft materials represent an interdisciplinary frontier in modern science, combining theoretical and experimental knowledge from diverse fields in both fundamental ...
Ricardo Negrete‐Gallego +5 more
wiley +1 more source
KLASIFIKASI TINGKAT KELANCARAN NASABAH DALAM MEMBAYAR PREMI DENGAN MENGGUNAKAN METODE REGRESI LOGISTIK ORDINAL DAN NAÏVE BAYES (Studi Kasus pada Asuransi AJB Bumiputera Tanjung karang Lampung) [PDF]
In the insurance companies a problem that often arises is the amount of customer debt in paying premiums, so it needs a system that can classify customers in the group not well, less smoothly, and smooth in paying premiums.
Sutitis, Ria
core

