Results 81 to 90 of about 4,036,534 (282)

Routing in Dense Human Crowds Using Smartphone Movement Data and Optical Aerial Imagery

ISPRS International Journal of Geo-Information, 2015
In this paper, we propose a navigation approach for smartphones that enables visitors of major events to avoid crowded areas or narrow streets and to navigate out of dense crowds quickly. Two types of sensor data are integrated.
Florian Hillen, Oliver Meynberg, Bernhard Höfle   +2 more
doaj   +1 more source

Mapping Correlated Environmental Landscapes in the Fluorescence Response of a Pyrenylated Charge‐Transfer Probe via Data‐Driven Nonlinear Regression

Advanced Materials Interfaces, EarlyView.
A pyrenylated donor–acceptor probe exhibits environment‐dependent fluorescence governed by intramolecular charge transfer, restricted molecular motion, and supramolecular organization. Nonlinear regression accurately reconstructs fluorescence responses to viscosity, temperature, concentration, and pH, while correlated parameter maps reveal hidden ...
Harshal V. Barkale, Anakhi Hazarika, Nilanjan Dey   +2 more
wiley   +1 more source

The Automatic Detection of Pedestrians under the High-Density Conditions by Deep Learning Techniques

Journal of Advanced Transportation, 2021
The automatic detection and tracking of pedestrians under high-density conditions is a challenging task for both computer vision fields and pedestrian flow studies.
Cheng-Jie Jin, Xiaomeng Shi, Ting Hui, Dawei Li, Ke Ma   +4 more
doaj   +1 more source

Defect‐Engineered ZnO Nanowire Arrays for Flexible Room‐Temperature Hydrogen Sensors

Advanced Materials Technologies, EarlyView.
Fabrication process of patterned ZnO nucleation sites on a flexible polyimide (PI) substrate. Top/tilted‐view SEM images of ordered ZnO nanoflower arrays confined within patterned circular regions. AFM topography map with height data revealing a disk‐array structure, where the patterned regions (marked by a red dot circle) are elevated by ∼2 µm ...
Jun‐Ting Wang, Imran Khan, Jhen‐De You, Fan‐Hua Kong, Chang‐Mou Wu, Po‐Kai Chiu, Ray‐Hua Horng, Jinn P. Chu   +7 more
wiley   +1 more source

Crowd Density Estimation of Scenic Spots Based on Multifeature Ensemble Learning

Journal of Electrical and Computer Engineering, 2017
Estimating the crowd density of public territories, such as scenic spots, is of great importance for ensuring population safety and social stability.
Xiaohang Xu, Dongming Zhang, Hong Zheng
doaj   +1 more source

Linking Polyelectrolyte Modification and Enzyme‐Catalyzed Phenolic Acid Functionalization of Cellulose Fiber for Functional Foams

Advanced Materials Technologies, EarlyView.
Cellulose fibers functionalized using cationic poly(Dimethyldiallylammonium chloride) (polyDADMAC) and laccase‐mediated ferulic acid system are processed into foams using different surfactants (Anionic, cationic, and non‐ionic). Fiber–surfactant interactions influence foam stabilization and porous structure formation during convective drying, producing
Abirami Senthil, Sara Wallstén, Paul Christakopoulos, Ulrika Rova, Io Antonopoulou   +4 more
wiley   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source

Crowd Density Estimation Using Deep Learning: A Convolutional Neural Network Approach for Real-time Monitoring [PDF]

Crowd density estimation is an essential aspect of public safety, urban management, and event monitoring. The emergence of deep learning techniques has revolutionized this domain by providing scalable, efficient, and accurate methods for estimating crowd
Jagriti, Singh, Khushi, Kawade
core  

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Crowd Counting in Low-Resolution Crowded Scenes Using Region-Based Deep Convolutional Neural Networks

IEEE Access, 2019
Crowd counting and density estimation is an important and challenging problem in the visual analysis of the crowd. Most of the existing approaches use regression on density maps for the crowd count from a single image.
Muhammad Saqib, Sultan Daud Khan, Nabin Sharma, Michael Blumenstein   +3 more
doaj   +1 more source