Works matching Crowds

Results: 5000

Une lecture logistique de l'économie collaborative Enjeux stratégiques autour de la crowd delivery.

Published in:

Revue des Sciences de Gestion, 2020, n. 305, p. 25

By:

Belhaj, Oumaima;
Paché, Gilles

Publication type:

Article

An integration of enhanced social force and crowd control models for high-density crowd simulation.

Published in:

Neural Computing & Applications, 2021, v. 33, n. 11, p. 6095, doi. 10.1007/s00521-020-05385-6

By:

Kolivand, Hoshang;
Rahim, Mohd Shafry;
Sunar, Mohd Shahrizal;
Fata, Ahmad Zakwan Azizul;
Wren, Chris

Publication type:

Article

Crowd Counting in Diverse Environments Using a Deep Routing Mechanism Informed by Crowd Density Levels.

Published in:

Information (2078-2489), 2024, v. 15, n. 5, p. 275, doi. 10.3390/info15050275

By:

Alhawsawi, Abdullah N;
Khan, Sultan Daud;
Ur Rehman, Faizan

Publication type:

Article

تعزيز السلامة السلوكية للحشود: دراسة تحليلية نفسية اجتماعية، لإدارة حشود الحج والعمرة (المسببات والأبعاد).

Published in:

Current Psychological Studies, 2025, v. 7, n. 1, p. 371

By:

ياسر محمد السيد &#1605

Publication type:

Article

EQUITY CROWD FUNDING: FOCUS ON ITALY'S FRAMEWORK.

Published in:

ASM Business Review, 2020, v. 9, n. 2, p. 87

By:

Pace, Roberta

Publication type:

Article

A real-time two-input stream multi-column multi-stage convolution neural network (TIS-MCMS-CNN) for efficient crowd congestion-level analysis.

Published in:

Multimedia Systems, 2020, v. 26, n. 5, p. 585, doi. 10.1007/s00530-020-00667-4

By:

Tripathy, Santosh Kumar;
Srivastava, Rajeev

Publication type:

Article

Analyzing Crowd Behavior in Highly Dense Crowd Videos Using 3D ConvNet and Multi-SVM.

Published in:

Electronics (2079-9292), 2024, v. 13, n. 24, p. 4925, doi. 10.3390/electronics13244925

By:

Elmezain, Mahmoud;
Maklad, Ahmed S.;
Alwateer, Majed;
Farsi, Mohammed;
Ibrahim, Hani M.

Publication type:

Article

Crowd Density Estimation in Spatial and Temporal Distortion Environment Using Parallel Multi-Size Receptive Fields and Stack Ensemble Meta-Learning.

Published in:

Symmetry (20738994), 2022, v. 14, n. 10, p. N.PAG, doi. 10.3390/sym14102159

By:

Assefa, Addis Abebe;
Tian, Wenhong;
Hundera, Negalign Wake;
Aftab, Muhammad Umar

Publication type:

Article

Cloud of Things in Crowd Engineering: A Tile-Map-Based Method for Intelligent Monitoring of Outdoor Crowd Density.

Published in:

Sensors (14248220), 2022, v. 22, n. 9, p. 3328, doi. 10.3390/s22093328

By:

Alamri, Abdullah

Publication type:

Article

HADF-Crowd: A Hierarchical Attention-Based Dense Feature Extraction Network for Single-Image Crowd Counting.

Published in:

Sensors (14248220), 2021, v. 21, n. 10, p. 3483, doi. 10.3390/s21103483

By:

Ilyas, Naveed;
Lee, Boreom;
Kim, Kiseon;
Atzori, Luigi;
Raheli, Riccardo

Publication type:

Article

An Agent that Facilitates Crowd Discussion: A Crowd Discussion Support System based on an Automated Facilitation Agent.

Published in:

Group Decision & Negotiation, 2022, v. 31, n. 3, p. 621, doi. 10.1007/s10726-021-09765-8

By:

Ito, Takayuki;
Hadfi, Rafik;
Suzuki, Shota

Publication type:

Article

The Challenge of Adolescent Crowd Research: Defining the Crowd.

Published in:

Journal of Youth & Adolescence, 2009, v. 38, n. 6, p. 747, doi. 10.1007/s10964-008-9307-6

By:

Cross, Jennifer Riedl;
Fletcher, Kathryn L.

Publication type:

Article

FRACTAL, A MICROSCOPIC CROWD MODEL.

Published in:

Fractals, 2008, v. 16, n. 4, p. 317, doi. 10.1142/S0218348X08004095

By:

Widyarto, Setyawan;
Latiff, M. S. Abd.

Publication type:

Article

Sparse to Dense Scale Prediction for Crowd Couting in High Density Crowds.

Published in:

Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ), 2021, v. 46, n. 4, p. 3051, doi. 10.1007/s13369-020-04990-w

By:

Khan, Sultan Daud;
Basalamah, Saleh

Publication type:

Article

Development of a Real-Time Crowd Flow Prediction and Visualization Platform for Crowd Management.

Published in:

Journal of Disaster Research, 2024, v. 19, n. 2, p. 248, doi. 10.20965/jdr.2024.p0248

By:

Yasufuku, Kensuke;
Takahashi, Akira

Publication type:

Article

SBAA: Simulation-Based Agile Approach to Crowd Control Planning.

Published in:

Journal of Disaster Research, 2024, v. 19, n. 2, p. 256, doi. 10.20965/jdr.2024.p0256

By:

Inoue, Masako;
Kimura, Kazutaka;
Yamauchi, Atsushi

Publication type:

Article

A Novel cascaded deep architecture with weak-supervision for video crowd counting and density estimation.

Published in:

Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2024, v. 28, n. 13/14, p. 8319, doi. 10.1007/s00500-024-09681-4

By:

Tripathy, Santosh Kumar;
Srivastava, Subodh;
Bajaj, Divij;
Srivastava, Rajeev

Publication type:

Article

Counting people in the crowd using social media images for crowd management in city events.

Published in:

Transportation, 2021, v. 48, n. 6, p. 3085, doi. 10.1007/s11116-020-10159-z

By:

Gong, V. X.;
Daamen, W.;
Bozzon, A.;
Hoogendoorn, S. P.

Publication type:

Article

Position-Based Formation Control Scheme for Crowds Using Short Range Distance (SRD).

Published in:

Applied Sciences (2076-3417), 2024, v. 14, n. 8, p. 3386, doi. 10.3390/app14083386

By:

Son, Jun Hyuck;
Sung, Man Kyu

Publication type:

Article

IMPLEMENTATION OF A GENERIC FRAMEWORK ON CROWD SIMULATION: A NEW ENVIRONMENT TO MODEL CROWD BEHAVIOR AND DESIGN VIDEO GAMES.

Published in:

Mugla Journal of Science & Technology, 2020, v. 6, n. 2, p. 69, doi. 10.22531/muglajsci.706841

By:

Yücel, Furkan;
Sürer, Elif

Publication type:

Article

German crowd-investing platforms: Literature review and survey.

Published in:

Cogent Business & Management, 2016, v. 3, n. 1, p. 1, doi. 10.1080/23311975.2016.1138849

By:

Grundy, David;
Ohmer, Carolina;
Nisar, Tahir

Publication type:

Article

استخدام الذكاء الاصطناعي في إدارة الحشود.

Published in:

Police Thought, 2024, v. 33, n. 131, p. 111, doi. 10.12816/0062027

By:

أحمد محمد صالح أ&#1581

Publication type:

Article

ZARZĄDZANIE TŁUMEM W AKCJI RATOWNICZEJ.

Published in:

Ogrody Nauk i Sztuk, 2020, n. 10, p. 83, doi. 10.15503/onis2020.83.91

By:

Karczewska, Kinga

Publication type:

Article

Modelling crowd pressure and turbulence through a mixed-type continuum approach.

Published in:

Transportmetrica B: Transport Dynamics, 2024, v. 12, n. 1, p. 1, doi. 10.1080/21680566.2024.2328774

By:

Liang, Haoyang;
Yang, Liangze;
Du, Jie;
Shu, Chi-Wang;
Wong, S. C.

Publication type:

Article

Video based human crowd analysis using machine learning: a survey.

Published in:

Computer Methods in Biomechanics & Biomedical Engineering: Imaging & Visualisation, 2022, v. 10, n. 2, p. 113, doi. 10.1080/21681163.2021.1986859

By:

Chaudhary, Deevesh;
Kumar, Sunil;
Dhaka, Vijaypal Singh

Publication type:

Article

Estimation of crowd density based on wavelet and support vector machine.

Published in:

Transactions of the Institute of Measurement & Control, 2006, v. 28, n. 3, p. 299, doi. 10.1191/0142331206tim178oa

By:

Li Xiaohua;
Shen Lansun;
Li Huanqin

Publication type:

Article

Crowd Violence: A Contextual analysis of various incidents at Delhi.

Published in:

Journal of Psychosocial Research, 2020, v. 15, n. 1, p. 295, doi. 10.32381/JPR.2020.15.01.25

By:

Yadav, Sapna;
Kumar, Suresh

Publication type:

Article

Robust Estimation of Crowd Density Using Vision Transformers.

Published in:

International Journal on Advanced Science, Engineering & Information Technology, 2024, v. 14, n. 5, p. 1528, doi. 10.18517/ijaseit.14.5.11267

By:

Chuho Yi;
Jungwon Cho

Publication type:

Article

Development of a Risk Space Prediction Model Based on CCTV Images Using Deep Learning: Crowd Collapse.

Published in:

International Journal on Advanced Science, Engineering & Information Technology, 2024, v. 14, n. 1, p. 189

By:

Jeong Hyeon Chang;
Hyesung Jung;
Woongil Park

Publication type:

Article

The Nature of Crowd Work and its Effects on Individuals' Work Perception.

Published in:

Journal of Management Information Systems, 2020, v. 37, n. 1, p. 66, doi. 10.1080/07421222.2019.1705506

By:

Durward, David;
Blohm, Ivo;
Leimeister, Jan Marco

Publication type:

Article

Pure and hybrid crowds in crowdfunding markets.

Published in:

Financial Innovation, 2016, v. 2, n. 1, p. 1, doi. 10.1186/s40854-016-0038-5

By:

Chen, Liang;
Huang, Zihong;
Liu, De

Publication type:

Article

Wisdom of the inner crowd benefits both face and voice matching.

Published in:

Applied Cognitive Psychology, 2023, v. 37, n. 6, p. 1409, doi. 10.1002/acp.4133

By:

Kramer, Robin S. S.;
Flanagan, Emily;
Jones, Alex L.;
Gous, Georgina

Publication type:

Article

Crowd Sourcing: Do Peer Crowd Prototypes Match Reality?

Published in:

Social Psychology Quarterly, 2020, v. 83, n. 3, p. 272, doi. 10.1177/0190272520936228

By:

Pivnick, Lilla K.;
Gordon, Rachel A.;
Crosnoe, Robert

Publication type:

Article

An integrated framework of mobile crowd estimation for the 2019, July 1st rally in Hong Kong.

Published in:

Multimedia Tools & Applications, 2023, v. 82, n. 28, p. 43349, doi. 10.1007/s11042-023-15417-7

By:

Chow, T. Edwin;
Yip, Paul S. F.;
Wong, Kwan-Po

Publication type:

Article

Survey on algorithms of people counting in dense crowd and crowd density estimation.

Published in:

Multimedia Tools & Applications, 2023, v. 82, n. 9, p. 13637, doi. 10.1007/s11042-022-13957-y

By:

Yang, Ge;
Zhu, Dian

Publication type:

Article

An efficient multi-scale contextual feature fusion network for counting crowds with varying densities and scales.

Published in:

Multimedia Tools & Applications, 2023, v. 82, n. 9, p. 13929, doi. 10.1007/s11042-022-13920-x

By:

Xiong, Liyan;
Yi, Hu;
Huang, Xiaohui;
Huang, Weichun

Publication type:

Article

The utility of datasets in crowd modelling and analysis: a survey.

Published in:

Multimedia Tools & Applications, 2022, v. 81, n. 30, p. 43947, doi. 10.1007/s11042-022-13227-x

By:

Waqar, Sahar;
Khan, Usman Ghani;
Waseem, M. Hamza;
Qayyum, Samyan

Publication type:

Article

COMAL: compositional multi-scale feature enhanced learning for crowd counting.

Published in:

Multimedia Tools & Applications, 2022, v. 81, n. 15, p. 20541, doi. 10.1007/s11042-022-12249-9

By:

Zhou, Fangbo;
Zhao, Huailin;
Zhang, Yani;
Zhang, Qing;
Liang, Lanjun;
Li, Yaoyao;
Duan, Zuodong

Publication type:

Article

A hybrid deep network based approach for crowd anomaly detection.

Published in:

Multimedia Tools & Applications, 2021, v. 80, n. 16, p. 24053, doi. 10.1007/s11042-021-10785-4

By:

Ilyas, Zirgham;
Aziz, Zafar;
Qasim, Tehreem;
Bhatti, Naeem;
Hayat, Muhammad Faisal

Publication type:

Article

HOW DOES THE LAW PROTECT THE CROWD? ABOUT CROWD INVESTOR PROTECTION MECHANISMS INTRODUCED BY THE EU REGULATION 2020/1503.

Published in:

InterEULawEast: Journal for International & European Law, Economics & Market Integrations, 2022, v. 9, n. 2, p. 173, doi. 10.22598/iele.2022.9.2.6

By:

Brejdak, Jakub

Publication type:

Article

A Machine Learning Model for Crowd Density Classification in Hajj Video Frames.

Published in:

International Journal of Advanced Computer Science & Applications, 2024, v. 15, n. 12, p. 292, doi. 10.14569/ijacsa.2024.0151231

By:

Shah, Afnan A.

Publication type:

Article

Sparrow Search Optimization with Transfer Learning-Based Crowd Density Classification.

Published in:

Computers, Materials & Continua, 2023, v. 74, n. 3, p. 4966, doi. 10.32604/cmc.2023.033705

By:

Yamin, Mohammad;
Almutairi, Mishaal Mofleh;
Badghish, Saeed;
Bajaba, Saleh

Publication type:

Article

Multi-Scale Network with Integrated Attention Unit for Crowd Counting.

Published in:

Computers, Materials & Continua, 2022, v. 73, n. 2, p. 3879, doi. 10.32604/cmc.2022.028289

By:

Hafeezallah, Adel;
Al-Dhamari, Ahlam;
Rahman Abu-Bakar, Syed Abd

Publication type:

Article

Sparse Crowd Flow Analysis of Tawaaf of Kaaba During the COVID-19 Pandemic.

Published in:

Computers, Materials & Continua, 2022, v. 71, n. 3, p. 5581, doi. 10.32604/cmc.2022.022153

By:

Durr-e-Nayab;
Qamar, Ali Mustafa;
Khan, Rehan Ullah;
Albattah, Waleed;
Khan, Khalil;
Habib, Shabana;
Islam, Muhammad

Publication type:

Article

A Novel Cultural Crowd Model Toward Cognitive Artificial Intelligence.

Published in:

Computers, Materials & Continua, 2021, v. 69, n. 3, p. 3337, doi. 10.32604/cmc.2021.017637

By:

Baothman, Fatmah Abdulrahman;
Abulnaja, Osama Ahmed;
Muhdher, Fatima Jafar

Publication type:

Article

Deep Trajectory Classification Model for Congestion Detection in Human Crowds.

Published in:

Computers, Materials & Continua, 2021, v. 68, n. 1, p. 705, doi. 10.32604/cmc.2021.015085

By:

Felemban, Emad;
Khan, Sultan Daud;
Naseer, Atif;
Ur Rehman, Faizan;
Basalamah, Saleh

Publication type:

Article

Task-related gaze control in human crowd navigation.

Published in:

Attention, Perception & Psychophysics, 2020, v. 82, n. 5, p. 2482, doi. 10.3758/s13414-019-01952-9

By:

Hessels, Roy S.;
van Doorn, Andrea J.;
Benjamins, Jeroen S.;
Holleman, Gijs A.;
Hooge, Ignace T. C.

Publication type:

Article

Crowd Logistics Capabilities in Malaysia: A Literature Review.

Published in:

2023

By:

Haron, Nor Rokiah Hanum Md;
Lee, Khai Loon;
Nawanir, Gusman

Publication type:

Literature Review

Comparison YOLOv5 Family for Human Crowd Detection.

Published in:

International Journal of Online & Biomedical Engineering, 2023, v. 19, n. 4, p. 94, doi. 10.3991/ijoe.v19i04.39095

By:

Maktoof, Mohammed Abdul Jaleel;
Al_attar, Israa Tahseen Ali;
Ibraheem, Ibraheem Nadher

Publication type:

Article

Toward Optimal Periodic Crowd Tracking via Unmanned Aerial Vehicle.

Published in:

Computer Modeling in Engineering & Sciences (CMES), 2023, v. 137, n. 1, p. 233, doi. 10.32604/cmes.2023.026476

By:

Chebil, Khalil;
Htiouech, Skander;
Khemakhem, Mahdi

Publication type:

Article