Results 51 to 60 of about 2,578,119 (290)

Cross Domain Adaptation of Crowd Counting with Model-Agnostic Meta-Learning

Applied Sciences, 2021
Counting people in crowd scenarios is extensively conducted in drone inspections, video surveillance, and public safety applications. Today, crowd count algorithms with supervised learning have improved significantly, but with a reliance on a large ...
Xiaoyu Hou, Jihui Xu, Jinming Wu, Huaiyu Xu   +3 more
doaj   +1 more source

Crowd Counting with Density Adaption Networks

CoRR, 2018
Crowd counting is one of the core tasks in various surveillance applications. A practical system involves estimating accurate head counts in dynamic scenarios under different lightning, camera perspective and occlusion states. Previous approaches estimate head counts despite that they can vary dramatically in different density settings; the crowd is ...
Li Wang 0033, Weiyuan Shao, Yao Lu 0028, Hao Ye 0005, Jian Pu, Yingbin Zheng   +5 more
openaire   +3 more sources

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source

Hyperosmotic stress‐induced redistribution of pre‐mRNA cleavage factor I subunits is associated with shifts in alternative polyadenylation

FEBS Open Bio, EarlyView.
Hyperosmotic stress triggers the relocation of the CFIm complex from the nucleus to the cytoplasm. This shift creates a nuclear ‘stoichiometric bottleneck’, limiting CFIm availability for mRNA processing. Consequently, specific mRNAs like NUDT21 and DICER1 undergo targeted 3′UTR shortening, demonstrating how spatial protein dynamics drive rapid ...
Hitomi Soumiya, Masatake Osawa, Hidefumi Fukumitsu   +2 more
wiley   +1 more source

Crowd counting via Multi-Scale Adversarial Convolutional Neural Networks

Journal of Intelligent Systems, 2020
The purpose of crowd counting is to estimate the number of pedestrians in crowd images. Crowd counting or density estimation is an extremely challenging task in computer vision, due to large scale variations and dense scene.
Zhu Liping, Zhang Hong, Ali Sikandar, Yang Baoli, Li Chengyang   +4 more
doaj   +1 more source

The connection between stress, density, and speed in crowds

Scientific Reports, 2023
AbstractMoving around in crowds is part of our daily lives, and we are used to the associated restriction of mobility. Nevertheless, little is known about how individuals experience these limitations. Such knowledge would, however, help to predict behavior, assess crowding, and improve measures for safety and comfort.
Beermann, Mira, Sieben, Anna
openaire   +5 more sources

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

Crowd Density Detection Technology Based on Deep Semantic Segmentation

Jisuanji kexue yu tansuo, 2021
With the development of society, people are going out more and more, which leads to more and more crowded scenes. The detection of crowd density is particularly important.
MA Yu, DU Huimin, MAO Zhili, ZHANG Xia
doaj   +1 more source

Determinants of undergraduate bioscience engagement: Validating attendance barriers and classroom spatial behaviour across institutions

FEBS Open Bio, EarlyView.
Student engagement extends beyond simple attendance. Across 891 bioscience students from three universities, attendance behaviour was associated mainly with structural influences, whereas classroom spatial behaviour reflected affective and sensory factors.
Nigel Page, Rachel J. Hunt, Lauren J. Albee, Daniel Berwick, Alison Snape   +4 more
wiley   +1 more source

Deep Transfer Learning Enabled Intelligent Object Detection for Crowd Density Analysis on Video Surveillance Systems

Applied Sciences, 2022
Object detection is a computer vision based technique which is used to detect instances of semantic objects of a particular class in digital images and videos. Crowd density analysis is one of the commonly utilized applications of object detection. Since
Fadwa Alrowais, Saud S. Alotaibi, Fahd N. Al-Wesabi, Noha Negm, Rana Alabdan, Radwa Marzouk, Amal S. Mehanna, Mesfer Al Duhayyim   +7 more
doaj   +1 more source