A population‐scale longitudinal transcriptomic atlas reveals how lactation stage and parity reshape systemic gene regulation in dairy cows. Multiomics‐inspired analyses uncover dynamic immune and metabolic adaptations that contribute to reproductive longevity and sustained productivity across the bovine lifespan.
Yangyang Shen +8 more
wiley +1 more source
Pedestrian Flow Model Based on Cellular Automata Under Visual Trajectory and Multi-Scenario Evacuation Simulation Research. [PDF]
Chen Y, Yao J, Gao C, Guo H.
europepmc +1 more source
Machine Learning-Based Prediction Model of Pilgrims' Tiredness During Hajj Using Smartwatch Physiological and Mobility Indicators. [PDF]
Alshamrani M +7 more
europepmc +1 more source
A BIM-GIS Framework Integrated with CCTV Analytics for Urban Walkability Assessment. [PDF]
Wang M, Wong PK, Cheng JCP.
europepmc +1 more source
Urban-rural dichotomy of emergency medical service demand: spatiotemporal patterns and heterogeneous driving mechanisms. [PDF]
Wu C, Yu Q, Li Y, Huang S, Li C, Luo L.
europepmc +1 more source
Mitigating shoulder spoofing vulnerabilities in mobile payment systems: a security framework. [PDF]
Alqahtani O +5 more
europepmc +1 more source
Detecting mangrove seedlings from UAV imagery using deep learning for restoration monitoring. [PDF]
Shendryk Y, Vilas MP.
europepmc +1 more source
Estimation of crowd density by clustering motion cues [PDF]
Understanding crowd behavior using automated video analytics is a relevant research problem in recent times due to complex challenges in monitoring large gatherings. From an automated video surveillance perspective, estimation of crowd density in particular regions of the video scene is an indispensable tool in understanding crowd behavior.
Marimuthu Palaniswami +2 more
exaly +4 more sources
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Approaches on crowd counting and density estimation: a review
Pattern Analysis and Applications, 2021In recent years, urgent needs for counting crowds and vehicles have greatly promoted research of crowd counting and density estimation. Benefiting from the rapid development of deep learning, the counting performance has been greatly improved, and the application scenarios have been further expanded.
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