An Efficient Parallelization of Microscopic Traffic Simulation by Benyamin Heidary, Joerg Schweizer, Ngoc An Nguyen, Federico Rupi, Cristian Poliziani

“…However, the simulation times of such scenarios is currently too long to be practical. (1) Background: With the availability of Graphical Processing Units (GPUs), is it possible to exploit parallel computing to reduce the simulation times of large microscopic simulations, such that they can run on normal PCs at reasonable runtimes?…”
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Synergy of Energy Efficiency and Industry 4.0 in the Post-War Modernization of Ukraine by Sydorenko Oleksandr M.

“…It is proved that the combination of energy-efficient solutions with digital platforms and resource management systems contributes to the formation of transparent and reliable production processes, which are characterized by a noticeable reduction in negative impact on the environment. …”
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Modeling Performance of SCALE‐AMPS: Simulations of Arctic Mixed‐Phase Clouds Observed During SHEBA by Chia Rui Ong, Makoto Koike, Tempei Hashino, Hiroaki Miura

“…In this study, AMPS is implemented into the Scalable Computing for Advanced Library and Environment (SCALE) large‐eddy simulation model. …”
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Exploiting adaptive neuro-fuzzy inference systems for cognitive patterns in multimodal brain signal analysis by T. Thamaraimanalan, Dhanalakshmi Gopal, S. Vignesh, K Kishore kumar

“…Future work will focus on testing the approach with larger and more diverse datasets and exploring its applicability in domains such as neurofeedback, neuromarketing, and brain-computer interfaces. This study establishes PCA-ANFIS as a capable tool for the precise and efficient classification of cognitive patterns in brain signal processing.…”
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Numerical design of nonstationary wavelets: Enhanced filter design andapplications in image compression by A. Boussaad, Y. Fourar, K. Melkemi

“…This leads to better visual quality and reduced storage requirements while maintaining computational efficiency. Such improvements are particularly beneficial in applications requiring high-fidelity image reconstruction, such as medical imaging, satellite data processing, and video compression. …”
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FSSA: A Fully Serial and Mixed-Precision Systolic Array for Vision Transformer Acceleration on Edge by Iraj Moghaddasi, Byeong-Gyu Nam

“…The proposed architecture integrates bit-serial processing into the systolic array architecture to optimize computational efficiency. …”
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Designing an Intelligent Scoring System for Crediting Manufacturers and Importers of Goods in Industry 4.0 by Mohsin Ali, Abdul Razaque, Joon Yoo, Uskenbayeva Raissa Kabievna, Aiman Moldagulova, Satybaldiyeva Ryskhan, Kalpeyeva Zhuldyz, Aizhan Kassymova

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Enhanced interpretable thyroid disease diagnosis by leveraging synthetic oversampling and machine learning models by Ali Raza, Fatma Eid, Elisabeth Caro Montero, Irene Delgado Noya, Imran Ashraf

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Real-time traffic monitoring system using IoT-aided robotics and deep learning techniques by Mohammed Qader Kheder, Aree Ali Mohammed

“…The data, which is collected by sensors and cameras, is processed using various image processing algorithms and it is sent to the cloud to be available for drivers and commuters through a mobile application. …”
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An Automated Framework for Streamlined CFD-Based Design and Optimization of Fixed-Wing UAV Wings by Chris Pliakos, Giorgos Efrem, Dimitrios Terzis, Pericles Panagiotou

“…The framework employs a parameterized meshing module capable of handling a broad range of wing geometries within an extensive design space, thereby reducing manual effort and achieving pre-processing times in the order of five minutes. Incorporating GPU-enabled solvers and high-performance computing environments allows for rapid and scalable aerodynamic evaluations. …”
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High-Resolution Global Land Cover Maps and Their Assessment Strategies by Qiongjie Xu, Vasil Yordanov, Lorenzo Bruzzone, Maria Antonia Brovelli

“…The article highlights significant advances in data pre-processing and processing, showcasing a shift from classical methods to modern approaches, including machine learning (ML) and deep learning techniques (e.g., neural networks and transformers), and their direct application on powerful cloud-computing platforms. …”
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Advancing plant biomass measurements: Integrating smartphone‐based 3D scanning techniques for enhanced ecosystem monitoring by Peter Dietrich, Melanie Elias, Peter Dietrich, Stanley Harpole, Christiane Roscher, Jan Bumberger

“…This method leverages Structure from Motion (SfM) techniques with widely accessible smartphone apps and subsequent computing to generate detailed ecological data. By implementing a streamlined pipeline for point cloud processing and voxel‐based analysis, we enable frequent, cost‐effective and accessible monitoring of vegetation structure and plant community biomass. …”
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Levels of E, A, M, G immunoglobulins in children with newly diagnosed tuberculosis at the beginning of antimycobacterial therapy by O. M. Raznatovska, Yu. V. Mironchuk, O. S. Lytvynenko

“…The results of the study were processed by modern methods of analysis on a personal computer using statistical software package Statistica® for Windows 6.0 (StatSoft Inc., AXXR712 D833214FAN5). …”
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Complexity-Constrained Quantum Thermodynamics by Anthony Munson, Naga Bhavya Teja Kothakonda, Jonas Haferkamp, Nicole Yunger Halpern, Jens Eisert, Philippe Faist

“…We present an approach to quantifying the thermodynamic resources required to implement a process if the process’s complexity is restricted. …”
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Android-Based Stock Opname Application Development with SQLite and Firebase by Ishaq Maulana, Verdi Yasin, Akmal Budi Yulianto

“…However, at PT Multilindo Surya Cemerlang, this process is still performed manually by recording on paper and then re-entering it into a computer. …”
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Raw QPP-RNG randomness via system jitter across platforms: a NIST SP 800-90B evaluation by Georgia Vrana, Dafu Lou, Randy Kuang

“…This makes it especially well-suited for resource-constrained Internet of Things (IoT) and edge computing applications where strong entropy sources are paramount.…”
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Real‐Time Hot‐Rolled Coil Placement Recommendation System with Data‐Driven Model by Chihun Lee, Da Seul Shin, Youn Hee Kang, Kanghyouk Choi, Dong Yong Park, Junsuk Rho

“…However, the cooling process of HRCs in the yard tends to be nonuniform because of complex thermal interactions between adjacent coils and varying environmental conditions, which affect the mechanical properties and steel quality. …”
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CFD and Artificial Intelligence-Based Machine Learning Synergy for the Assessment of Syngas-Utilizing Pre-Reformer in r-SOC Technology Advancement by Murphy M. Peksen

“…This study demonstrates the significant advantages of integrating computational fluid dynamics (CFD) with artificial intelligence (AI)-based machine learning (ML) to optimize the pre-reforming process for reversible solid oxide cell (r-SOC) technologies. …”
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Real-Time SLAM Mobile Robot and Navigation Based on Cloud-Based Implementation by Jaafar Ahmed Abdulsaheb, Dheyaa Jasim Kadhim

“…It is possible to control the robot and perform this process remotely by using an Amazon Elastic Compute Cloud (Amazon EC2) instance service. …”
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Exploring the binding pathways of the 14-3-3ζ protein: Structural and free-energy profiles revealed by Hamiltonian replica exchange molecular dynamics with distancefield distance r... by Gabor Nagy, Chris Oostenbrink, Jozef Hritz

“…Whilst the binding mode of the phosphopeptides within the primary 14-3-3 binding site is well established based on the crystal structures of their complexes, little is known about the binding process itself. We present a computational study of the process by which phosphopeptides bind to the 14-3-3ζ protein. …”
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