Machine learning‐driven design of dual‐band antennas using PGGAN and enhanced feature mapping by Lung‐Fai Tuen, Ching‐Lieh Li, Yu‐Jen Chi, Chien‐Ching Chiu, Po Hsiang Chen

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AIRR community curation and standardised representation for immunoglobulin and T cell receptor germline sets by William D. Lees, Scott Christley, Ayelet Peres, Justin T. Kos, Brian Corrie, Duncan Ralph, Felix Breden, Lindsay G. Cowell, Gur Yaari, Martin Corcoran, Gunilla B. Karlsson Hedestam, Mats Ohlin, Andrew M. Collins, Corey T. Watson, Christian E. Busse

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Analysis of Operation of a Driving Band Mounting in a Projectile’s Shell by Mieczysław KACZOROWSKI, Zdzisław LINDEMANN, Marek RADOMSKI

“…The analysis showed significant factors influencing the mounting process and a field of residual stresses in a projectile shell. …”
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Analysis of Heat Transfer Mechanism for Shelf Vacuum Freeze-Drying Equipment by Hong-Ping Cheng, Shian-Min Tsai, Chin-Chi Cheng

“…Therefore, in this study, the commercial computer fluid dynamics (CFD) software, FLUENT, was utilized for three-dimension numerical simulation of the shelf vacuum freeze-drying process. …”
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Transport-of-Intensity Equation for Real-Time Tomographic Experiments: Projection or Slices? by Eduardo X. Miqueles, Paola C. Ferraz, Goran Lovric, David M. Paganin

“…In practical experiments, this parameter often carries significant uncertainty, leading tomographic users to iteratively test various values until a reconstruction provides useful information. From a computational perspective, this trial-and-error process affects user experience, as it is both time-consuming and resource-intensive. …”
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Comparative analysis of surface infrastructure models for an oil field in the Pannonian Basin: Evaluation of Aspen HYSYS and GAP software by Marković Jelena, Martinović Bojan, Zorić Nikola N., Ješić Milica, Crnogorac Miroslav, Danilović Dušan

“…Engineers use a range of computational strategies and mathematical models to design and operate processing facilities. …”
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Precision tools for the simulation of double-Higgs production via vector-boson fusion by Barbara Jäger, Alexander Karlberg, Simon Reinhardt

“…A new implementation of the process is developed in the framework of the POWHEG BOX program that can be used to provide predictions at the next-to-leading order (NLO) of QCD matched to parton showers (PS). …”
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Development of an Artificial Intelligent Lighting System for Protected Crops by Basil Mohammed Al-Hadithi, Cecilia E. García Cena, Raquel Cedazo León, Carlos Loor Loor

“…All this monitoring process takes place in a computer which is connected to an Arduino MEGA device serves as data acquisition card. …”
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Sensorless Control of Hydrogen Pump Using Adaptive Unscented Kalman Filter by Sheianov Aleksandr, KANG Erliang

“…Some researches have shown that the UKF is usually more accurate than the extended Kalman filter (EKF) whereas the computation burden is the same in both cases. However, the performance of traditional Kalman filter may degrade when process noise and load are constantly changing or a sudden disturbance occurs due to the fixed process noise covariance (Q matrix) in the filter, which is the case in fuel cell systems where a hydrogen pump is used. …”
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Development of self-efficacy scale of differentiated instruction for teachers by Rumeysa Yilmaz, Ayten Pinar Bal, Vildan Atas

“…Before starting the analysis process, the data were numbered and transferred to the computer environment. …”
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Buried power rails and backside power distribution for nanometer-scale IC design by Ryzhova Daria, Pavlov Ivan, Asapov Ivan

“…The developed models and methods will be included in the open design flow for integrated CMOS circuits with a technological process of 15 nm and below.…”
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Inhibitive behavior of Ambrosia Maritima extract as an eco-friendly corrosion inhibitor for carbon steel in 1M HCI by Hanaa M. Elabbasy, Aziz Abd Fouda S. El

“…Damsissa extract was found to act as a mixed-type in 1M HCl. The computed adsorption thermodynamic parameters demonstrated that the adsorption was a spontaneous, endothermic process accompanied by an increase in the entropy. …”
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Increase in efficiency of quality and hole-making in glass-reinforced titanium laminate by reducing drilling vibroactivity by Sergey N. Shevtsov, Vladimir V. Sibirskiy, Evgeny G. Chigrinets

“…The vibroactivity of the drilling process and its relationship with the quality metrics are studied using the computer-aided torque-sensing system. …”
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Industrial Internet of Water Things architecture for data standarization based on blockchain and digital twin technology☆ by Mazin Abed Mohammed, Abdullah Lakhan, Karrar Hameed Abdulkareem, Mohd Khanapi Abd Ghani, Haydar Abdulameer Marhoon, Seifedine Kadry, Jan Nedoma, Radek Martinek, Begonya Garcia Zapirain

“…Therefore, we propose a CNN-LSTM and blockchain data transactional (BCDT) scheme for processing valid data across different nodes. Results:: Through simulation results, we demonstrate that the proposed IIoWT architecture significantly reduces processing time while improving the accuracy of data standardization within the water distribution management system. …”
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Optimizing P-Chart Performance Using a Percentage-Based Framework: Application to Nonconforming Items in the Manufacturing Sector by Zahid Khan, Aamir Saghir, Attila I. Katona, Zsolt T. Kosztyan

“…The control chart approach in industrial processes often faces significant challenges in accurately assessing the in-control (IC) and out-of-control (OC) performance of a process because of the limitations of conventional performance metrics. …”
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Using Deep Learning in Ensemble Streamflow Forecasting: Exploring the Predictive Value of Explicit Snowpack Information by Parthkumar Modi, Keith Jennings, Joseph Kasprzyk, Eric Small, Cameron Wobus, Ben Livneh

“…However, process‐based models require computationally intensive parameter estimation, increasing uncertainties and limiting usability. …”
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Dictionary Learning Based on Nonnegative Matrix Factorization Using Parallel Coordinate Descent by Zunyi Tang, Shuxue Ding, Zhenni Li, Linlin Jiang

“…By employing the coordinate descent strategy for optimization and extending it to multivariable case for processing in parallel, we develop a so-called parallel coordinate descent dictionary learning (PCDDL) algorithm, which is structured by iteratively solving the two optimal problems, the learning process of the dictionary and the estimating process of the coefficients for constructing the signals. …”
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Flame Combustion State Detection Method of Cement Rotary Furnace Based on Improved RE-DDPM and DAF-FasterNet by Yizhuo Zhang, Zixuan Gu, Huiling Yu, Shen Shi

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A Dynamic Trading Approach Based on Walrasian Equilibrium in a Blockchain-Based NFT Framework for Sustainable Waste Management by Ch Sree Kumar, Aayushman Bhaba Padhy, Akhilendra Pratap Singh, K. Hemant Kumar Reddy

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A Change Management View on Technology Adoption in Hotel Organizations: A Review and a Conceptual Framework by Francis Albert R. Somera, Krassie Petrova

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