Risk Analysis of Fuel Leakage and Explosion in LNG-Powered Ship Cabin Based on Computational Fluid Dynamics by Yuechao Zhao, Yubo Li, Weijie Li, Yuan Gao, Qifei Wang, Dihao Ai

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Large fluctuations in NSPT computations: a lesson from O(N) non-linear sigma models by Paolo Baglioni, Francesco Di Renzo

“…We finally establish general relationships between the various perturbative orders in the expansion of the (field theoretic) variance of a given observable and combinations of variances and covariances of given orders NSPT stochastic processes. Having established all this, we conclude discussing interesting applications of NSPT computations in the context of theories similar to O(N) (i.e. …”
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Study of photosensitizer dyes for high-performance dye-sensitized solar cells application: A computational investigation by M. Ashraful Hasan, Ismail M.M. Rahman, Jamal Uddin, Faisal Islam Chowdhury

“…This research highlights the potential of computational methods in accelerating dye development and improving the overall efficiency of DSSC technology.…”
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Design of Computer Numerical Control System for Fiber Placement Machine Based on Siemens 840D sl by Kun Xia, Di Zhao, Qingqing Yuan, Jingxia Wang, Aodong Shen

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A comprehensive image dataset for the identification of lemon leaf diseases and computer vision applicationsMendeley Data by A K M Fazlul Kobir Siam, Prayma Bishshash, Md. Asraful Sharker Nirob, Sajib Bin Mamun, Md Assaduzzaman, Sheak Rashed Haider Noori

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Exploring nanoparticle dynamics in binary chemical reactions within magnetized porous media: a computational analysis by Saleem Nasir, Abdallah Berrouk, Asim Aamir

“…Artificial neural networks offer a special computational architecture that is extremely valuable in disciplines like biotechnology, biological computing, and computational fluid dynamics. …”
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Ves-GAN: Unsupervised Vessel-Targeted Low-Dose Coronary Computed Tomography Angiography Denoising Framework by Xinyuan Xiang, Jiayue Li, Yan Yi, Yining Wang, Sixing Yin, Xiaohe Chen

“…Objective: This study aims to develop an unsupervised denoising framework for low-dose coronary computed tomography (CT) angiography (LDCTA), which reduces noise while preserving vascular structures. …”
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Comparison of computed tomography–guided core needle biopsy of pulmonary nodules performed with and without the coaxial technique by Qun-Qun Zhu, Li Zhang, Fengfei Xia, Yi-Bing Shi, Lei Zhu, Xian-Xian Liang

“…Introduction: Computed tomography (CT)-guided core needle biopsy (CNB) is a common method for diagnosing pulmonary nodules (PNs). …”
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Multiscale computational evaluation of Vitex trifolia phytochemicals as VEGFR2 inhibitors for targeted breast cancer therapy. by Arooj Fatima, Muhammad Umer Khan, Saooda Ibrahim, Iqra Khurram, Qasim Ammar, Raima Rehman, Alaa S Alhegaili, Raghad S Alhejaili, Nawal Alsubaie, Muhammad Ikram Ullah

“…VEGFR2, a key angiogenesis regulator, presents a potential target for inhibiting the angiogenic process essential for tumor growth. The present study aimed to investigate the therapeutic potential of phytochemicals of Vitex trifolia to inhibit VEGFR2 for BC. …”
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Elegante+: A Machine Learning-Based Optimization Framework for Sparse Matrix–Vector Computations on the CPU Architecture by Muhammad Ahmad, Sardar Usman, Ameer Hamza, Muhammad Muzamil, Ildar Batyrshin

“…However, due to the sparsity patterns of matrices and the diverse configurations of hardware, accurately modeling the performance of SpMV remains a complex challenge. SpMV computation is often a time-consuming process because of its sparse matrix structure. …”
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Development of a Computer Vision-Based Method for Sizing and Boat Error Assessment in Olive Pitting Machines by Luis Villanueva Gandul, Antonio Madueño-Luna, José Miguel Madueño-Luna, Miguel Calixto López-Gordillo, Manuel Jesús González-Ortega

“…To address these challenges, this study presents a novel computer vision (CV) system integrated into a commercial DRR machine. …”
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‎A Stochastic-Process Methodology for Detecting Anomalies at Runtime in Embedded Systems‎ by Alfredo Cuzzocrea, Enzo Mumolo, Islam Belmerabet, Abderraouf Hafsaoui

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The simplest signal detection algorithms of transition process of tension in power lines by S. I. Novikov, I. L. Kuz'min, R. G. Khuzyashev

“…The efficiency evaluation of the offered algorithm was made by comparison with the known signal detection algorithms in two parameters: in the maximum size of the relation a signal/hindrance and by the number of computing transactions. It is shown that the offered algorithm of the digital filter of the sensor occupies smaller resources of memory and requires smaller computing capacities of the microcontroller, and in too time allows to register reliably transitional process.…”
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Enhanced model predictive current framework for a PMSM powered by three-level NPC inverters with DC-link voltage self-balancing mechanisms by Kim-Anh Nguyen, L.D. Hieu, Viet-Tuan Pham, Van-Quang-Binh Ngo

“…The proposed new strategy significantly reduces computational complexity and balances the DC-bus capacitor voltages without weighting factors. …”
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Joint Caching and Computation in UAV-Assisted Vehicle Networks via Multi-Agent Deep Reinforcement Learning by Yuhua Wu, Yuchao Huang, Ziyou Wang, Changming Xu

“…Unmanned Aerial Vehicle (UAV)-assisted Mobile Edge Computing (MEC), which deploys computing and storage resources at the network edge, offers a promising solution. …”
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Phase Stability and Solidification of 9Cr-ODS Alloys for Wire Additive Manufacturing: A Computational Approach by Sarah Najm Al-Challabi, Ali Samer Muhsan, Thar Mohammed Badri, Mohammad Shakir Nasif

“…The study underscores the utility of computational tools in predicting phase transformations, reducing experimental iterations, and guiding process optimization. …”
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Real-world performance analysis of a universal computational reasoning model for precision oncology in lung cancer by Anna Dirner, Dóra Kormos, Dóra Lakatos, Márton Bolyácz, Mária Kocsis-Steinbach, Gábor György Kalmár, Dóra Tihanyi, Ákos Takács, Ákos Boldizsár, Viktor Kardos, Réka Szalkai-Dénes, Barbara Vodicska, Edit Várkondi, Júlia Déri, Gábor Pajkos, Dóra Mathiász, István Vályi-Nagy, Richárd Schwáb, Maud Kamal, Christian Rolfo, Arkadiusz Z. Dudek, Christophe Le Tourneau, Róbert Dóczi, László Urbán, István Peták

“…Although molecular tumor boards can assist personalized treatments, this process is not scalable or standardized, resulting in highly discordant recommendations. …”
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Optimal control of thermal and mechanical loads in activation processes of mechanical components by Nicolai Friedlich, Hanno Gottschalk, Georg Vossen

“…The results for the optimal control as functions of the rotation speed and external gas temperature over time are computed by sequential quadratic programming, where gradients are computed using finite differences. …”
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Assessing Sternal Dimensions for Sex Classification: Insights from a Greek Computed Tomography-Based Study by Konstantina Vatzia, Michail Fanariotis, Maciej Bugajski, Ioannis V. Fezoulidis, Maria Piagkou, Marianna Vlychou, George Triantafyllou, Ioannis Vezakis, George Botis, Stavroula Papadodima, George Matsopoulos, Katerina Vassiou

“…<b>Background/Objectives:</b> This study aimed to assess the potential of sternal morphometric parameters derived from multidetector computed tomography (MDCT) for sex estimation in a contemporary Greek population. …”
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Multi-scale computational fluid dynamics and machine learning integration for hydrodynamic optimization of floating photovoltaic systems by Fadhil Khadoum Alhousni, Samuel Chukwujindu Nwokolo, Edson L. Meyer, Theyab R. Alsenani, Humaid Abdullah Alhinai, Chinedu Christian Ahia, Paul C. Okonkwo, Yaareb Elias Ahmed

“…Abstract This paper presents a new and multidisciplinary systematic analysis of floating photovoltaic (FPV) systems that integrates recent advances in computational modelling and intelligent optimization to address persistent issues with performance, hydrodynamics, and adaptability. …”
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