Development of basic reading skills in Latin: a corpus-based tool for computer-assisted fluency training by Milena Kuehnast, Konstantin Schulz, Anke Lüdeling

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A comparative study of deterministic and stochastic computational modeling approaches for analyzing and optimizing COVID-19 control by Abdeldjalil Kadri, Ahmed Boudaoui, Saif Ullah, Mohammed Asiri, Abdul Baseer Saqib, Muhammad Bilal Riaz

“…Abstract This paper presents a comparative analysis of deterministic and stochastic computational modeling approaches for the optimal control of COVID-19. …”
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Inferences for Skew-Wiener Degradation Model: Approximate Bayesian Computation via Gibbs-Step and Model Selection by Isyaku Muhammad, Mustapha Muhammad, Ren Aihua, Aiqiang Zhang

“…The Skew-Wiener Degradation (SKWD) model presents a novel approach for addressing unit-to-unit variability in degradation processes by integrating the skew-normal distribution into the Wiener process. …”
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The use of computer simulation to improve road safety at the intersection of Volgogradskaya and Korolenko Streets in Kazan, Republic of Tatarstan by Ramil R. Zagidullin, Ivan A. Bannikov

“…One of the methods of substantiating the possibilities of optimizing intersections is computer simulation, which allows not only analyzing, but also predicting the behavior of transport processes. …”
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Cloud-Based Internet-of-Things System for Long-Term Bridge Bearing Monitoring Using Computer Vision by Gunhee Kim, Junsik Shin, Jongbin Won, Jongwoong Park

“…However, reliance on external power sources and complex installation processes has limited their widespread application. …”
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Comprehensive review on single-atom catalysts in electrochemical hydrogen-evolution reaction: computational modelling and experimental investigation by Fares Chabira, Sajjad Ali, Abbas Khan, Muhammad Humayun, Mohamed Bououdina

“…The growing demand for renewable energy sources has driven research efforts towards highly efficient electrochemical processes, especially the Hydrogen Evolution Reaction (HER) which is an essential component in renewable hydrogen production. …”
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Experimental and computational optimization of sheet metal forming parameters for cylindrical cups of Al1100 and SS202 by Amit Kaimkuriya, S. Balaguru

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Enhancing the Thermostability of <i>Bacillus licheniformis</i> Alkaline Protease 2709 by Computation-Based Rational Design by Yuan Yuan, Guowei Zhao, Jing Lu, Lei Wang, Yawei Shi, Jian Zhang

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Computer-aided Simulation of a Cascade Biorefinery: Case Study of the Colombian Amazon’s Hass Avocado Waste by Anibal Alviz-Meza, Stefany A. Valdez-Valdes, Angel D. Gonzalez-Delgado

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MatSwarm: trusted swarm transfer learning driven materials computation for secure big data sharing by Ran Wang, Cheng Xu, Shuhao Zhang, Fangwen Ye, Yusen Tang, Sisui Tang, Hangning Zhang, Wendi Du, Xiaotong Zhang

“…Additionally, the heterogeneous and non-independent and identically distributed (non-i.i.d.) nature of material data hinders model accuracy and generalization in collaborative computing. In this paper, we introduce the MatSwarm framework, built on swarm learning, which integrates federated learning with blockchain technology. …”
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A Complementary Approach for Securing and Anti-Counterfeiting of Valuable Documents Based on Encryption of Computer-Generated Hologram by Zakaria E. Ahmed, Rania M. Abdelazeem, Yasser A. Attia, Tawfik A. Khattab, Claas Falldorf, Ralf B. Bergmann, Mostafa Agour

“…We present a novel approach for securing valuable documents using a complementary approach based on the encryption of computer-generated holograms (CGHs). The proposed approach utilizes the well-known iterative Fourier transform algorithm (IFTA) to generate a phase-only CGH for valuable digital and/or physical documents. …”
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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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Grammar-Based Computational Framework for Predicting Pseudoknots of K-Type and M-Type in RNA Secondary Structures by Christos Pavlatos

“…Understanding the structural intricacies of RNA molecules is essential for deciphering numerous biological processes. Traditionally, scientists have relied on experimental methods to gain insights and draw conclusions. …”
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A Comprehensive Review of Deep Learning in Computer Vision for Monitoring Apple Tree Growth and Fruit Production by Meng Lv, Yi-Xiao Xu, Yu-Hang Miao, Wen-Hao Su

“…This study reviewed deep learning combined with computer vision for monitoring apple tree growth and fruit production processes in the past seven years. …”
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A Conceptual Approach for the Knowledge-Based Computational Design of Prefabricated Façade Panels Using Constructability Features by Puyan A. Zadeh, Santiago Diaz, Sheryl Staub-French, Devarsh Bhonde

“…This paper introduces how constructability knowledge can be incorporated into computational design process using feature-based modeling (FBM). …”
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Vectorized Highly Parallel Density-Based Clustering for Applications With Noise by Joseph Arnold Xavier, Juan Pedro Gutierrez Hermosillo Muriedas, Stepan Nassyr, Rocco Sedona, Markus Gotz, Achim Streit, Morris Riedel, Gabriele Cavallaro

“…As the volume of data continues to grow and advancements in high-performance computing evolve, a critical need has emerged for algorithms that can efficiently process these computations and exploit the various levels of parallelism offered by modern supercomputing systems. …”
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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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A brain-inspired memory transformation based differentiable neural computer for reasoning-based question answering by Yao Liang, Yao Liang, Yuwei Wang, Yuwei Wang, Hongjian Fang, Hongjian Fang, Feifei Zhao, Yi Zeng, Yi Zeng, Yi Zeng, Yi Zeng, Yi Zeng

“…Inspired by the brain's learning and memory mechanisms, this paper proposes a Memory Transformation based Differentiable Neural Computer (MT-DNC) model. The MT-DNC integrates two brain-inspired memory modules—a working memory module inspired by the cognitive system that temporarily holds and processes task-relevant information, and a long-term memory module that stores frequently accessed and enduring information—within the DNC framework, enabling the autonomous transformation of acquired experiences between these memory systems. …”
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Computer Vision as a Tool to Support Quality Control and Robotic Handling of Fruit: A Case Study by Estêvão Vale Filho, Luan Lang, Martim L. Aguiar, Rodrigo Antunes, Nuno Pereira, Pedro Dinis Gaspar

“…The food industry increasingly depends on technological assets to improve the efficiency and accuracy of fruit processing and quality control. This article enhances the application of computer vision with collaborative robotics to create a non-destructive system. …”
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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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