Matrix of risk factors for railway construction projects . by Jan Kowalski, Marzena Lendo-Siwicka

“…When designing the method, it was assumed that the method which is not complicated to implement and is supported by an appropriate computational program will motivate teams planning railway projects to implement them in real implementation processes and increase the credibility of their schedules.…”
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Future aviation jobs: The role of technology in shaping skills and competencies by Manar Abu Talib, Qassim Nasir, Fatima Dakalbab, Homaiza Saud

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Visualization techniques for the gyrokinetic tokamak simulation code by Eliot Feibush, Stephane Ethier, Jason Yan, Alexander Yao

“…The visualization workflow produces detailed geometry that matches the high resolution, irregular compute grid for every time step. The surface and solid models are displayed in scientific visualization programs to effectively explore and communicate the results, including fluctuation of electron density, ion temperature, and electrostatic potential. …”
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Using Fuzzy Logic Techniques for Assertion-Based Software Testing Metrics by Ali M. Alakeel

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ICT and agriculture in India by Balasubramanian Dhandapani, Rico Lie, Pierre Grard

“…The relevance of new computing technologies and their effective implementation in developing countries is widely debated, both at policy and community level. …”
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A Sparse Optimization Approach for Energy-Efficient Timetabling in Metro Railway Systems by Ziyan Luo, Xiaoyu Li, Naihua Xiu

“…Comparison with the existing two-step linear program approach is also conducted which illustrates the effectiveness of our proposed sparse optimization model in terms of the energy saving rate and the efficiency of our numerical optimization algorithm in terms of computational time.…”
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Application of Monte Carlo Method for Gamma ray Attenuation Properties of Lead Zinc Borate Glasses by Urkiye Akar Tarım, Orhan Gürler

“…Thiswork aims to introduce an useful computational model, based in Monte Carlosimulation, which can be used in practical application, and this paper presentsvalues determined using a Monte Carlo algorithm for linear attenuationcoefficient of lead zinc borate glasses with different percentages of PbO. …”
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A Mesoscopic Approach for the Numerical Simulation of a Mass Concrete Structure Construction Using Post-Cooling Systems by Igor A. Fraga, Ana B. C. G. Silva, Eduardo M. R. Fairbairn

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A model-based Decision Support System for multiple container terminals hub management by Francesco Facchini, Francesco Boenzi, Salvatore Digiesi, Giovanni Mummolo

“…Research method The model is based on a heuristic computational algorithm for non-linear programming. …”
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Modification of Haessler’s sequential heuristic procedure for the one-dimensional cutting stock problem with setup cost by Mateus Martin, Antonio Moretti, Marcia Gomes-Ruggiero, Luiz Salles Neto

“…The solution strategy is to generate different cutting plans using MSHP, and then to use an integer programming model to seek even better results. Research method It is a axiomatic research, ordinary in studies of Operational Research. …”
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AQSA—Algorithm for Automatic Quantification of Spheres Derived from Cancer Cells in Microfluidic Devices by Ana Belén Peñaherrera-Pazmiño, Ramiro Fernando Isa-Jara, Elsa Hincapié-Arias, Silvia Gómez, Denise Belgorosky, Eduardo Imanol Agüero, Matías Tellado, Ana María Eiján, Betiana Lerner, Maximiliano Pérez

“…As counting spheres cultured in devices is laborious, time-consuming, and operator-dependent, a computational program called the Automatic Quantification of Spheres Algorithm (ASQA) that detects, identifies, counts, and measures spheres automatically was developed. …”
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TEOREMA FUNGSI INVERS DAN APLIKASINYA DALAM ESTIMASI VOLATILITAS MODEL STOKASTIK by NILMA SARI, FAIHATUZ ZUHAIROH

“…This methodology is reinforced through the discretization of stochastic integrals and numerical simulations implemented using the R programming language. The simulation results demonstrate that volatility estimates derived from this approach are comparable to conventional methods such as Maximum Likelihood Estimation (MLE), while offering improved computational efficiency. …”
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Comparison of methods for estimating reservoir sedimentation by Aline Guidolin da Luz, Bruna Arcie Polli, Tobias Bernward Bleninger, Bernardo Lipski, Elizabete Bugalski de Andrade Peixoto, Ana Lia Warcheski

“…In the context of Joint Resolution ANA/ANEEL n° 127/2022, this study aimed to compare four methods for estimating reservoir sedimentation: comparison of Depth-Area-Volume curves (DAV), sedimentometric analysis, use of computer programs with simplified methods, and comparison of cross-sections, with DAV method as the reference. …”
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Optimal Control Strategy for a Discrete Time Smoking Model with Specific Saturated Incidence Rate by Abderrahim Labzai, Omar Balatif, Mostafa Rachik

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SCAN: a nanopore-based, cost effective decision-supporting tool for mass screening of aneuploidies by Anne Kristine Schack, M. Carmen Garrido-Navas, David Galevski, Gjorgji Madjarov, Lukasz Krych

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Risk level prediction for problematic internet use: A digital health perspective by Youngjung Suh, Jinwon Yoo

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Symplectic machine learning model for fast simulation of space-charge effects by Jinyu Wan, Ji Qiang, Yue Hao

“…Traditional methods for simulating these effects are often computationally expensive, resulting in significant overhead. …”
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Research on group type theory and its functorial semantic models in category logic. by Jian-Gang Tang, Yimamujiang Aishan, Ji-Yu Liu, Jia-Yin Peng

“…In practical applications, the introduction of group structures into types is anticipated to optimize algorithms and data structures, leveraging the algebraic properties of groups to enhance computational efficiency. Furthermore, our exploration is not limited to mathematical conversions; it is also envisioned to extend to the application in various type systems, providing support for future research in formal verification and program analysis in computer science.…”
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Improved transmit beamforming design based on ADMM for low probability of intercept of FDA-MIMO radar by Pengcheng GONG, Yuntao WU

“…Considering the low probability of intercept problem that the signal-dependent interference and the target were located in the same angle, an improved transmit beamforming design based on the alternating direction method of multipliers (ADMM) was proposed for multiple-input multiple-output with frequency diverse array radar.The transmit energy was minimized at the target under constraints of the energy at each transmitter and signal clutter-plus-noise ratio requirement.Subsequently, a cyclic algorithm was developed to tackle the non-convex design problem.Firstly, the optimal receive filter was obtained by generalized Rayleigh quotient.And then the transmit beamforming was optimized by employing auxiliary variables and ADMM to solve quadratic programming problem with fractional inequality constraint.Moreover, both the convergence and computational complexity of the proposed algorithm were discussed.Simulation results show that, compared with the semi-denite programming method, the proposed method not only attains the given antenna power, but also achieves the better mainlobe focusing performance at the target.Furthermore, the null levels at the clutter locations and the jamming directions obtained by the proposed method are -50 dB above.…”
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On the biologically relevant chemical space: BioReCS by José L. Medina-Franco, Edgar López-López, Edgar López-López, Juan F. Avellaneda-Tamayo, William J. Zamora, William J. Zamora

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