Results 31 to 40 of about 3,843,339 (249)

Generative agents in crowd simulation: a cognitive approach with Large Language Models

Acta Polytechnica CTU Proceedings
Crowd simulation is a powerful tool used in fields such as urban planning, emergency response, and entertainment to model and predict human movement and behavior in various scenarios.
Nizar Ntarouis, Roland Geraerts
doaj   +1 more source

Simulation of Cognitive Pedestrian Agents Crowds in Crisis Situations [PDF]

Journal of Systemics, Cybernetics and Informatics, 2006
In crisis situations in an urban environment, first responder teams often must deal with crowds of people. Consider the case of a building fire in a dense city environment. People may be injured; walkways may be blocked, with fire equipment attempting to
Margaret Lyell, Mark Becker
doaj  

Crowd Behavior Analysis and Classification using Graph Theoretic Approach [PDF]

, 2014
Surveillance systems are commonly used for security and monitoring. The need to automate these systems is well understood. To address this issue we introduce the Graph theoretic approach based Crowd Behavior Analysis and Classification System (GCBACS ...
Najmuzzama Zerdi, Dr. Subhash S Kulkarni, Kashyap D Dhruve   +2 more
core  

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

FEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj, Carolina Vazquez Garzon, Jose Joaquin Velasco, Janine N. Post   +3 more
wiley   +1 more source

Photorealistic Synthetic Crowds Simulation in Indoor Environments (PSCS-I): A Novel Synthetic Dataset for Realistic Simulation of Crowd Panic and Violence Behaviors

IEEE Access
Crowd analysis is a critical research field in computer vision that focuses on understanding and predicting crowd behaviors with applications extending to public safety, urban planning, and event management. However, the scarcity of large-scale, diverse,
Stefanos Pasios, Konstantinos Gkountakos, Konstantinos Ioannidis, Theodora Tsikrika, Stefanos Vrochidis, Ioannis Kompatsiaris   +5 more
doaj   +1 more source

Investigating the Cultural Impact on Predicting Crowd Behavior

Computers, 2023
The Cultural Crowd–Artificial Neural Network (CC-ANN) takes the cultural dimensions of a crowd into account, based on Hofstede Cultural Dimensions (HCDs), to predict social and physical behavior concerning cohesion, collectivity, speed, and distance ...
Fatima Jafar Muhdher, Osama Ahmed Abulnaja, Fatmah Abdulrahman Baothman   +2 more
doaj   +1 more source

Computer Simulation of Leadership, Consensus Decision Making and Collective Behaviour in Humans [PDF]

, 2014
The aim of this study is to evaluate the reliability of a crowd simulation model developed by the authors by reproducing Dyer et al.'s experiments (published in Philosophical Transactions in 2009) on human leadership and consensus decision making in a ...
Sun, Q, Song Wu, Quanbin Sun, Wu Song, Sun, Quanbin, Wu, Song, Song Wu (36667), Sun Quanbin, Wu, S, Quanbin Sun (510171)   +9 more
core   +2 more sources

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

Molecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

A Review of Abnormal Crowd Behavior Recognition Technology Based on Computer Vision

Applied Sciences
Abnormal crowd behavior recognition is one of the research hotspots in computer vision. Its goal is to use computer vision technology and abnormal behavior detection models to accurately perceive, predict, and intervene in potential abnormal behaviors of
Rongyong Zhao, Feng Hua, Bingyu Wei, Cuiling Li, Yulong Ma, Eric S. W. Wong, Fengnian Liu   +6 more
doaj   +1 more source