The SportsComp Erasmus+ project. An initial WP2 Protocol Overview: The International and Multidisciplinary Delphi and Qualitative Study. by Bruno Tassignon, Carlo Ramponi, Armi Hirvonen, Mati Arend, Eleni Kapreli, Jo Verschueren

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Computational Methods for High Energy Physics by Carlo Cattani, Mehmet Bektasoglu, Gongnan Xie

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Optimization Tools for the Design of Meta-Covers for Linear Antenna with Beam- and Null-Steering Capabilities by Michela Longhi, Stefano Vellucci, Mirko Barbuto, Alessio Monti, Filiberto Bilotti, Alessandro Toscano

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Assessing Cognitive Effort in Ménière’s Disease: Pupillometry as a Novel Tool for Postural Control by Beatrice Francavilla, Gianluca Velletrani, Carlo Chiaramonte, Stefano Di Girolamo, Pier Giorgio Giacomini

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The Partial Power Control Algorithm of Underwater Acoustic Sensor Networks Based on Outage Probability Minimization by Yun Li, Yishan Su, Zhigang Jin, Sumit Chakravarty

“…The proposed algorithm captures transmission loss (TL) using the Markov chain Monte Carlo (MCMC) method and estimates CSI in the next moment using AR prediction. …”
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Parameter Identification of the 2-Chlorophenol Oxidation Model Using Improved Differential Search Algorithm by Guang-zhou Chen, Jia-quan Wang, Ru-zhong Li

“…This paper firstly carried out the sensitivity analysis of the 2-chlorophenol oxidation model in supercritical water using the Monte Carlo method. Then, to address the nonlinearity of the model, two improved differential search (DS) algorithms were proposed to carry out the parameter identification of the model. …”
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Fragility analysis of concrete elevated water tanks under seismic loads by Amar Aliche, Hocine Hammoum, Karima Bouzelha, Younes Aoues, Ouali Amiri, Youcef Mehani

“…In this study, a probabilistic approach based on Monte Carlo simulations is used to analyze the reliability of elevated water tanks submitted to hazard seismic loading. …”
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Midcourse Guidance Law Based on High Target Acquisition Probability Considering Angular Constraint and Line-of-Sight Angle Rate Control by Xiao Liu, Shengjing Tang, Jie Guo, Yuhang Yun, Zhe Chen

“…This paper has presented a new midcourse guidance law considering the influences of random disturbances, detection distance restraint, and target acquisition probability with Monte Carlo simulation. Detailed analyses of the impact points on the ground and the random distribution of the target acquisition position in the 3D space are given to get the appropriate attitude angles and the end position for the midcourse guidance. …”
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Modified Chen distribution: Properties, estimation, and applications in reliability analysis by M. G. M. Ghazal

“…Bayesian estimates of the model parameters, along with the survival and hazard functions and their corresponding credible intervals, were derived via the Markov chain Monte Carlo method under balanced squared error loss, balanced linear-exponential loss, and balanced general entropy loss. …”
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Inferential Statistics from Black Hispanic Breast Cancer Survival Data by Hafiz M. R. Khan, Anshul Saxena, Elizabeth Ross, Venkataraghavan Ramamoorthy, Diana Sheehan

“…We specifically focused on Black Hispanic race. Markov Chain Monte Carlo (MCMC) method was used for obtaining the summary results of posterior parameters. …”
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An Experimental Analysis of Hierarchical Rail Traffic and Train Control in a Stochastic Environment by Pengling Wang, Annik Jeiziner, Xiaojie Luan, Valerio De Martinis, Francesco Corman

“…The investigation refers to different disturbed traffic scenarios obtained by sampling train entrance delays and dwell times within a typical Monte Carlo scheme. Results obtained for the Dutch railway corridor Utrecht–Den Bosch prove the value of the approach. …”
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Bayesian Probabilistic Framework for Damage Identification of Steel Truss Bridges under Joint Uncertainties by Wei Zheng, Yi Yu

“…A new sampling method of the transitional Markov chain Monte Carlo is incorporated with the structure’s finite element model for implementing the approach to damage identification of truss structures. …”
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Effects of Surface Curvature and Surface Strength on Argon Adsorption in Carbon Nanotubes at Temperatures below the Triple Point by Zhongjun Liu, D.D. Do, D. Nicholson, Zhengping Xi

“…This paper describes an investigation of argon adsorption into carbon nanotubes at temperatures below the triple point, using a grand canonical Monte Carlo simulation to study the effects of confinement and surface strength on the 2D transition. …”
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Assessing the Uncertainty Associated with Flood Features due to Variability of Rainfall and Hydrological Parameters by Ahmad Sharafati, Mohammad Reza Khazaei, Mohamed Salem Nashwan, Nadhir Al-Ansari, Zaher Mundher Yaseen, Shamsuddin Shahid

“…Flood hydrographs are generated using a rain pattern generator (RPG) and HEC-HMS models through Monte Carlo simulation considering uncertainty in stochastic variables. …”
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Heavy-Duty Vehicle Braking Stability Control and HIL Verification for Improving Traffic Safety by Fahui Wang, Yongjie Lu, Haoyu Li

“…Firstly, the interval uncertain dynamic model is established based on the Monte Carlo method, and the braking failure simulation analysis of the right front wheel of heavy vehicles is carried out in the set of three uncertain intervals. …”
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Advanced ellipse overlap computation based on segment area of circles by Minhye Kim, Yongkuk Kim, Giphil Cho

“…We compared our method with the traditional Monte Carlo method and found that when the relative error is 0.0245, our method operates approximately 6 times faster. …”
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A comparative analysis of L-moments, maximum likelihood, and maximum product of spacing methods for the four-parameter kappa distribution in extreme value analysis by Muhammad Shafeeq ul Rehman Khan, Zamir Hussain, Sadaf Sher, Muhammad Amjad, Faisal Baig, Ishfaq Ahmad, Hamd Ullah

“…Abstract The study has investigated the implications of three estimation methods, namely L-moments, Maximum Likelihood, and Maximum Product of Spacing (MPS), for fitting the four-parameter Kappa Distribution (KAPD) in extreme value analysis using Monte Carlo simulations. The accuracy of the estimates has been evaluated using root mean square error (RMSE) and bias. …”
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Investigation on Reinforced Mechanism of Fiber Reinforced Asphalt Concrete Based on Micromechanical Modeling by Ying Gao, Qinglin Guo, Yanhua Guo, Pingchuan Wu, Wenqing Meng, Tongye Jia

“…In this paper, numerical method was used to investigate the reinforced mechanism of FRAC from microperspective. 2D micromechanical model of FRAC was established based on Monte Carlo theory. Effects of fiber length and content on stress state of asphalt mortar, effective modulus, and viscoelastic deformation of asphalt concrete were investigated. …”
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Damped Iterative Explicit Guidance for Multistage Rockets with Thrust Drop Faults by Zongzhan Ma, Chuankui Wang, Zhi Xu, Shuo Tang, Ying Ma

“…Finally, the robustness of DIEG under various deviations is verified through Monte Carlo simulation.…”
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Performance analysis of simultaneous wireless information and power transfer relay network in railway Internet of things by Yaping LI, Ke XIONG, Yu ZHANG, Xi YANG

“…The system performance of energy constrained dual-hop multi relay network was studied in railway Internet of things.The source node was deployed on the train to transmit energy and information to the relay node with constrained energy on the ground.The harvested energy was used by the relay node to forward information to the destination node,and the relay node used half-duplex amplify-and-forward mode.Considering that the relay circuit has energy activation threshold,the closed-form expression of outage probability and throughput in Rician fading channel was derived.The correctness of the theoretical analysis was verified by Monte Carlo simulation,and the effects of Rician factor,time switching factor,the number of source node antennas,total transmission power of source node,energy conversion efficiency,relative position of each node on the end-to-end outage probability and throughput were compared and analyzed under the two relay selection strategies with the shortest first hop distance and the shortest sum of dual-hop distance.When the train passes through each relay successively,the outage probability of the system decreases first and then in creases,and the throughput increases first and then decreases.The performance of the system with the shortest sum of dual-hop distances is better than that with the shortest first hop distance.…”
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