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
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- Publication type:
- Article
Works matching Crowds
Results: 5000
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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
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- Article
3
FRACTAL, A MICROSCOPIC CROWD MODEL.
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- Fractals, 2008, v. 16, n. 4, p. 317, doi. 10.1142/S0218348X08004095
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- Article
4
Counting people in the crowd using social media images for crowd management in city events.
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- Transportation, 2021, v. 48, n. 6, p. 3085, doi. 10.1007/s11116-020-10159-z
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- Article
5
The Challenge of Adolescent Crowd Research: Defining the Crowd.
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- Journal of Youth & Adolescence, 2009, v. 38, n. 6, p. 747, doi. 10.1007/s10964-008-9307-6
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- Article
6
Crowd Counting in Diverse Environments Using a Deep Routing Mechanism Informed by Crowd Density Levels.
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- Information (2078-2489), 2024, v. 15, n. 5, p. 275, doi. 10.3390/info15050275
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- Article
7
Sparse to Dense Scale Prediction for Crowd Couting in High Density Crowds.
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- 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
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8
A Novel cascaded deep architecture with weak-supervision for video crowd counting and density estimation.
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2024, v. 28, n. 13/14, p. 8319, doi. 10.1007/s00500-024-09681-4
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- Article
9
A real-time two-input stream multi-column multi-stage convolution neural network (TIS-MCMS-CNN) for efficient crowd congestion-level analysis.
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- Multimedia Systems, 2020, v. 26, n. 5, p. 585, doi. 10.1007/s00530-020-00667-4
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- Article
10
EQUITY CROWD FUNDING: FOCUS ON ITALY'S FRAMEWORK.
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- ASM Business Review, 2020, v. 9, n. 2, p. 87
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- Publication type:
- Article
11
Crowd Density Estimation in Spatial and Temporal Distortion Environment Using Parallel Multi-Size Receptive Fields and Stack Ensemble Meta-Learning.
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- Symmetry (20738994), 2022, v. 14, n. 10, p. N.PAG, doi. 10.3390/sym14102159
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- Article
12
An Agent that Facilitates Crowd Discussion: A Crowd Discussion Support System based on an Automated Facilitation Agent.
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- Group Decision & Negotiation, 2022, v. 31, n. 3, p. 621, doi. 10.1007/s10726-021-09765-8
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- Publication type:
- Article
13
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
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- Publication type:
- Article
14
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
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- Publication type:
- Article
15
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
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- Publication type:
- Article
16
Development of a Real-Time Crowd Flow Prediction and Visualization Platform for Crowd Management.
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- Journal of Disaster Research, 2024, v. 19, n. 2, p. 248, doi. 10.20965/jdr.2024.p0248
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- Publication type:
- Article
17
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
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- Article
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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
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- Publication type:
- Article
19
Analyzing Crowd Behavior in Highly Dense Crowd Videos Using 3D ConvNet and Multi-SVM.
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- Electronics (2079-9292), 2024, v. 13, n. 24, p. 4925, doi. 10.3390/electronics13244925
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- Article
20
Environmental parameters and analysis of crowd flow in an academic building of a university.
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- Indoor & Built Environment, 2021, v. 30, n. 1, p. 39, doi. 10.1177/1420326X19886921
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- Article
21
The Nature of Crowd Work and its Effects on Individuals' Work Perception.
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- Journal of Management Information Systems, 2020, v. 37, n. 1, p. 66, doi. 10.1080/07421222.2019.1705506
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- Article
22
基于区块链技术的私募股权众筹平台变革及展望.
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- Journal of Guangdong University of Technology, 2019, v. 36, n. 2, p. 37, doi. 10.12052/gdutxb.180166
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- Publication type:
- Article
23
ZARZĄDZANIE TŁUMEM W AKCJI RATOWNICZEJ.
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- Ogrody Nauk i Sztuk, 2020, n. 10, p. 83, doi. 10.15503/onis2020.83.91
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- Article
24
Estimation of crowd density based on wavelet and support vector machine.
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- Transactions of the Institute of Measurement & Control, 2006, v. 28, n. 3, p. 299, doi. 10.1191/0142331206tim178oa
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- Article
25
Review on Psychological Crowd Model Based on LeBon's Theory.
- Published in:
- Telkomnika, 2017, v. 15, n. 2, p. 763, doi. 10.12928/telkomnika.v15i1.6114
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- Article
26
Differential games for crowd dynamics and applications.
- Published in:
- Mathematical Models & Methods in Applied Sciences, 2023, v. 33, n. 13, p. 2703, doi. 10.1142/S0218202523500598
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- Publication type:
- Article
27
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
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- Article
28
Survey on algorithms of people counting in dense crowd and crowd density estimation.
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- Multimedia Tools & Applications, 2023, v. 82, n. 9, p. 13637, doi. 10.1007/s11042-022-13957-y
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- Article
29
An efficient multi-scale contextual feature fusion network for counting crowds with varying densities and scales.
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- Multimedia Tools & Applications, 2023, v. 82, n. 9, p. 13929, doi. 10.1007/s11042-022-13920-x
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- Article
30
The utility of datasets in crowd modelling and analysis: a survey.
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- Multimedia Tools & Applications, 2022, v. 81, n. 30, p. 43947, doi. 10.1007/s11042-022-13227-x
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- Article
31
COMAL: compositional multi-scale feature enhanced learning for crowd counting.
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- Multimedia Tools & Applications, 2022, v. 81, n. 15, p. 20541, doi. 10.1007/s11042-022-12249-9
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- Article
32
A hybrid deep network based approach for crowd anomaly detection.
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- Multimedia Tools & Applications, 2021, v. 80, n. 16, p. 24053, doi. 10.1007/s11042-021-10785-4
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- Article
33
Emotional sounds of crowds: spectrogram-based analysis using deep learning.
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- Multimedia Tools & Applications, 2020, v. 79, n. 47/48, p. 36063, doi. 10.1007/s11042-020-09428-x
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- Article
34
Crowd gathering and commotion detection based on the stillness and motion model.
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- Multimedia Tools & Applications, 2020, v. 79, n. 27/28, p. 19435, doi. 10.1007/s11042-020-08827-4
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- Article
35
Arbitrary perspective crowd counting via local to global algorithm.
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- Multimedia Tools & Applications, 2020, v. 79, n. 21/22, p. 15059, doi. 10.1007/s11042-020-08888-5
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- Article
36
La figura de la mujer en los estudios sobre masas: Las tres operaciones en los estudios sobre masas en teoría social. De 1890 a 1930: un abordaje simultáneo en las obras de Le Bon, Ramos Mejía y Park.
- Published in:
- Question (1669-6581), 2021, v. 3, n. 68, p. 152, doi. 10.24215/16696581e518
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- Article
37
Hajj pilgrimage abnormal crowd movement monitoring using optical flow and FCNN.
- Published in:
- Journal of Big Data, 2023, v. 10, n. 1, p. 1, doi. 10.1186/s40537-023-00779-4
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- Publication type:
- Article
38
Physics-based modeling of crowd evacuation in the Unity game engine.
- Published in:
- International Journal of Modeling, Simulation & Scientific Computing, 2018, v. 9, n. 4, p. N.PAG, doi. 10.1142/S1793962318500290
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- Publication type:
- Article
39
Large-Scale Crowd Analysis through the Use of Passive Radio Sensing Networks.
- Published in:
- Sensors (14248220), 2020, v. 20, n. 9, p. 2624, doi. 10.3390/s20092624
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- Publication type:
- Article
40
Convolutional-Neural Network-Based Image Crowd Counting: Review, Categorization, Analysis, and Performance Evaluation.
- Published in:
- Sensors (14248220), 2020, v. 20, n. 1, p. 43, doi. 10.3390/s20010043
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- Publication type:
- Article
41
Crowd Sourcing: Do Peer Crowd Prototypes Match Reality?
- Published in:
- Social Psychology Quarterly, 2020, v. 83, n. 3, p. 272, doi. 10.1177/0190272520936228
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- Publication type:
- Article
42
融合通道与空间注意力的编解码人群计数算法.
- Published in:
- Journal of Frontiers of Computer Science & Technology, 2022, v. 16, n. 11, p. 2547, doi. 10.3778/j.issn.1673-9418.2104122
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- Publication type:
- Article
43
UCTB: Spatiotemporal Crowd Flow Prediction Toolbox.
- Published in:
- Journal of Frontiers of Computer Science & Technology, 2022, v. 16, n. 4, p. 835, doi. 10.3778/j.issn.1673-9418.2012072
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- Article
44
سيناريو مستدام لتفعيل الكفاءة التشغيلية الاستعداد للتعامل مع التجمعات الجماهيرية في المشاعر المقدسة خلال مواسم الحج والعمرة بمكة المكرمة.
- Published in:
- Journal of Education - Sohag University, 2023, v. 105, n. 105, p. 449, doi. 10.12816/EDUSOHAG.2023
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- Publication type:
- Article
45
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
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- Publication type:
- Article
46
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
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- Article
47
A conditional crowd out/in model of government funding on giving of money and time: evidence from social service organizations in China.
- Published in:
- Journal of Chinese Governance, 2024, v. 9, n. 3, p. 396, doi. 10.1080/23812346.2024.2350820
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- Publication type:
- Article
48
Using agent-based simulation for public space design based on the Shanghai Bund waterfront crowd disaster.
- Published in:
- AI EDAM, 2020, v. 34, n. 2, p. 176, doi. 10.1017/S0890060420000049
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- Publication type:
- Article
49
Stochastic Gradient Descent–Whale Optimization Algorithm-Based Deep Convolutional Neural Network To Crowd Emotion Understanding.
- Published in:
- Computer Journal, 2020, v. 63, n. 2, p. 267, doi. 10.1093/comjnl/bxz103
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- Article
50
Policing football crowds in England and Wales: a model of 'good practice'?
- Published in:
- Policing & Society, 2008, v. 18, n. 3, p. 258, doi. 10.1080/10439460802091641
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- Publication type:
- Article