Results 221 to 230 of about 220,741 (318)
Integrating Textual Queries with AI-Based Object Detection: A Compositional Prompt-Guided Approach. [PDF]
Ferreira S+3 more
europepmc +1 more source
Increasing sedentary time, minimum dietary energy requirements, and food security assessment
Abstract We compute corrections for sedentary behavior in physical activity levels (PALs) and incorporate them along with corrections for over estimation of basal metabolic rates (BMRs) into threshold caloric intakes, known as minimum dietary energy requirements (MDERs).
Jacob Michels+2 more
wiley +1 more source
Event Driven Computations for Relational Query Language
Larissa Ismailova+2 more
openalex +2 more sources
A Domain Independent Natural Language Interface to Databases Capable of Processing Complex Queries [PDF]
Rodolfo A. Pazos Rangel+5 more
openalex +1 more source
Abstract This paper employs machine learning to determine which preferential trade agreement (PTA) provisions are relevant to agricultural trade patterns and the factors that may influence their adoption. Utilizing the three‐way gravity model, we apply plug‐in Lasso regularized regression to pinpoint predictive PTA provisions for agricultural trade ...
Stepan Gordeev+3 more
wiley +1 more source
Semantic approaches for query expansion: taxonomy, challenges, and future research directions. [PDF]
Allahim A, Cherif A, Imine A.
europepmc +1 more source
Learning languages from positive data and a finite number of queries [PDF]
Sanjay Jain, Efim Kinber
openalex +1 more source
The synthesis of platinumcarbon aerogel electrocatalysts with multiscale porosity derived from biopolymer aerogels via supercritical deposition is presented. The electrocatalysts demonstrate similar overpotentials to commercial alternatives with significantly higher platinum loadings, while exhibiting superior stability due to enhanced porosity ...
Ala Alsuhile+6 more
wiley +1 more source
Qualia as query act, the phenomenology of predictive error coding. [PDF]
Harris HW.
europepmc +1 more source
Building an intelligent diabetes Q&A system with knowledge graphs and large language models. [PDF]
Qin Z+5 more
europepmc +1 more source