Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.2460/javma.2003.223.623 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data.
Sensors (Basel)
December 2024
School of Biological and Environmental Sciences, Liverpool John Moores University, James Parsons Building, Byrom Street, Liverpool L3 3AF, UK.
Camera traps offer enormous new opportunities in ecological studies, but current automated image analysis methods often lack the contextual richness needed to support impactful conservation outcomes. Integrating vision-language models into these workflows could address this gap by providing enhanced contextual understanding and enabling advanced queries across temporal and spatial dimensions. Here, we present an integrated approach that combines deep learning-based vision and language models to improve ecological reporting using data from camera traps.
View Article and Find Full Text PDFMind the Step: An Artificial Intelligence-Based Monitoring Platform for Animal Welfare.
Sensors (Basel)
December 2024
Orobix Life, 24121 Bergamo, Italy.
We present an artificial intelligence (AI)-enhanced monitoring framework designed to assist personnel in evaluating and maintaining animal welfare using a modular architecture. This framework integrates multiple deep learning models to automatically compute metrics relevant to assessing animal well-being. Using deep learning for AI-based vision adapted from industrial applications and human behavioral analysis, the framework includes modules for markerless animal identification and health status assessment (e.
View Article and Find Full Text PDFVoice Analysis in Dogs with Deep Learning: Development of a Fully Automatic Voice Analysis System for Bioacoustics Studies.
Sensors (Basel)
December 2024
Faculty of Medicine and Health Technology, Tampere University, 33720 Tampere, Finland.
Extracting behavioral information from animal sounds has long been a focus of research in bioacoustics, as sound-derived data are crucial for understanding animal behavior and environmental interactions. Traditional methods, which involve manual review of extensive recordings, pose significant challenges. This study proposes an automated system for detecting and classifying animal vocalizations, enhancing efficiency in behavior analysis.
View Article and Find Full Text PDFValidity of a Short Food Frequency Questionnaire for Toddlers of NELA Birth Cohort Study.
Nutrients
December 2024
Unidad de Epidemiología de la Nutrición (EPINUT), Departamento de SaludPública, Historia de la Ciencia y Ginecología, Universidad Miguel Hernández (UMH), 03550 Alicante, Spain.
Background/objectives: Our aim was to evaluate the reproducibility and validity of a semi-quantitative food frequency questionnaire (FFQ) for the assessment of usual nutrient and food intakes in children of 18 months old.
Methods: We included 103 toddlers aged 18 months from the Nutrition in Early Life and Asthma (NELA) birth cohort study. A 47-item FFQ was administered twice to parents with a 3-month interval.
Macronutrient Intake and Food Categories' Contribution to Daily Energy Intake According to BMI in Primary School Children in Croatia.
Nutrients
December 2024
Centre for Food Safety, Croatian Agency for Agriculture and Food, Ivana Gundulića 36b, 31000 Osijek, Croatia.
Background: Nutritional status in childhood is associated with a number of short- and long-term health effects. The rising prevalence of childhood obesity highlights the necessity of understanding dietary patterns in children. The study provides an assessment of energy and macronutrient intake and food categories' contribution to energy intake in Croatian primary school children, according to BMI status.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!