Results 51 to 60 of about 40,421 (274)
IOT BASED STATISTICAL APPROACH FOR HUMAN CROWD DENSITY ESTIMATION-DESIGN AND ANALYSIS [PDF]
Acta Informatica Malaysia, 2020 In this paper we present an IoT based solution that can reduce the complexity of crowd estimation. About the human crowd estimation many technique are in existence but now a day’s more work are going on in the field of IoT, because this is era of IoT and
Jugal Kishor Gupta, Sanjay Kumar Gupta
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective This study aimed to investigate the immunological response to influenza vaccination, the incidence and severity of influenza infection, and the side effects of the vaccination in patients with ischemic stroke. Methods This prospective observational study was conducted between 2023 and 2024 at Ramathibodi Hospital.
Achiraya Pakngao +5 more
wiley +1 more source
IEEE AccessThe rapid growth of metropolitan populations and large public gatherings has increased the need for intelligent surveillance systems capable of ensuring public safety.
Deevesh Chaudhary +2 more
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Nanothermometry in Living Cells: Physical Limits, Conceptual and Material Challenges
Advanced Functional Materials, EarlyView.Heat and temperature are fundamental to life. When nanothermometers began probing regions as small as a living cell, they triggered controversial claims of large intracellular temperature gradients. We review physical constraints energy‐conservation, entropy production, thermodynamic fluctuations, and molecular dynamics.
Taras Plakhotnik
wiley +1 more source
Crowd counting using a self‐attention multi‐scale cascaded network
IET Computer Vision, 2019 Recent developments of crowd analysis and behaviour prediction have attracted much attention. Crowd counting, as the essential and challenging task in crowd analysis, is riddled with many issues, such as large scale variations, serious occlusion, and so ...
He Li, Shihui Zhang, Weihang Kong
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Mask Guided GAN for Density Estimation and Crowd Counting
IEEE Access, 2020 Density estimation aims to predict the spatial distribution of a crowd scene, and crowd counting aims to automatically check the number of heads as close as the ground truth.
Hai-Yan Yao, Wang-Gen Wan, Xiang Li
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Feature Descriptor for Crowd Density Estimation
, 2019 Crowd density estimation is an important task for crowd monitoring. Many efforts have been done to automate the process of estimating crowd density from images and videos. Despite series of efforts, it remains a challenging task. In this paper, we proposes a new texture feature-based approach for the estimation of crowd density based on Completed Local
Bilal, Muhammad, Alanazi, Adwan
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Multiplex Modular Nanorobotic Systems with Catalytic Activity under Magnetic Navigation
Advanced Functional Materials, EarlyView.We present modular nanorobots composed of a magnetic propulsion module and different extension modules carrying functional activities, assembled via DNA base pairing. The system integrates propulsion, optical tracking, enzymatic catalysis, and cell docking in a programmable manner.
Voichita Mihali +7 more
wiley +1 more source
A Computer Vision-Based Pedestrian Flow Management System for Footbridges and Its Applications
InfrastructuresUrban footbridges are critical infrastructure increasingly challenged by vibration issues induced by crowd activity. Real-time monitoring of pedestrian dynamics is essential for evaluating structural safety, ensuring pedestrian comfort, and enabling ...
Can Zhao, Yiyang Jiang, Jinfeng Wang
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A High-Density Crowd Counting Method Based on Convolutional Feature Fusion
Applied Sciences, 2018 In recent years, the trampling events due to overcrowding have occurred frequently, which leads to the demand for crowd counting under a high-density environment. At present, there are few studies on monitoring crowds in a large-scale crowded environment,
Hongling Luo +6 more
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