Results 1 to 10 of about 3,450,202 (313)
Large-scale simulation of traffic flow using Markov model. [PDF]
Modeling and simulating movement of vehicles in established transportation infrastructures, especially in large urban road networks is an important task. It helps in understanding and handling traffic problems, optimizing traffic regulations and adapting
Renátó Besenczi +5 more
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In this research, we investigate an optimal control problem governed by elliptic PDEs with Dirichlet boundary conditions on complex connected domains, which can be utilized to model the cooling process of concrete dam pouring.
Mengya Su, Liuqing Xie, Zhiyue Zhang
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Investigation of $$\varXi _c^0$$ Ξ c 0 in a chiral quark model
Recently, three new states of $$\varXi _c^0$$ Ξ c 0 were observed in the invariant mass spectrum of $$\varLambda ^+_cK^-$$ Λ c + K - by LHCb collaboration.
Xiaohuang Hu, Yue Tan, Jialun Ping
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A Large-Scale Simulator for NB-IoT
This paper presents a large-scale comprehensive machine-to-machine NB-IoT (narrowband IoT) traffic simulator designed to study IoT application performance in large-scale environments, such as smart cities. The simulation system uses real geographical data to define a wide range of devices characterized by location, packet generation pattern, and ...
Vincent Therrien +3 more
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Large‐Scale Simulations of Reionization [PDF]
25 ...
Kohler, Katharina +2 more
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Investigation of hidden-charm pentaquarks with strangeness $$S=-1$$ S = - 1
Recently, a new hidden-charm pentaquark state $$P_{cs}(4459)$$ P cs ( 4459 ) was reported by the LHCb Collaboration. Stimulated by the fact that all hidden-charm pentaquark states in $$S=0$$ S = 0 systems were successfully studied by the chiral quark ...
Xiaohuang Hu, Jialun Ping
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Is $$d^*(2380)$$ d ∗ ( 2380 ) a compact hexaquark state?
The most fascinating dibaryon in the non-strange quark sector is $$d^*(2380)$$ d ∗ ( 2380 ) , which was reported by WASA-at-COSY Collaboration and confirmed by A2@MAMI Collaboration. The reported mass and decay width are $$M\approx 2.37$$ M ≈ 2.37 GeV, $$
Manying Pan, Xinmei Zhu, Jialun Ping
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WorldGen: A Large Scale Generative Simulator
In the era of deep learning, data is the critical determining factor in the performance of neural network models. Generating large datasets suffers from various difficulties such as scalability, cost efficiency and photorealism. To avoid expensive and strenuous dataset collection and annotations, researchers have inclined towards computer-generated ...
Chahat Deep Singh +4 more
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Conceptual Model for Large-scale Social Simulation [PDF]
Large-scale agent-based social simulation is gradually proved to be an effective method for the study of human society.It can contribute to decision-making in social science, distributed artificial intelligence and agent technology in computer science ...
ZHANG Ming-xin
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Kalman Filter and Its Application in Data Assimilation
In 1960, R.E. Kalman published his famous paper describing a recursive solution, the Kalman filter, to the discrete-data linear filtering problem.
Bowen Wang +4 more
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