Assessing Temporal and Territorial Performance of SDG 11 at Local Scale by Kinga TEMERDEK-IVAN, Vivien MEZEI

“…The data were organised in a PostgreSQL database, where most of the computations were performed, including the normalisation process of the indicators. …”
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Multi-Level Cell Structure for Capacitor-Less 1T DRAM With SiGe-Based Separated Data Storing Regions by Eungi Hwang, Jang Hyun Kim, Sangwan Kim, Garam Kim

“…One-transistor dynamic random-access memory (1T DRAM) offers significant advantages in fabrication process and scalability over the traditional one-transistor one-capacitor (1T-1C) DRAM due to its simplified structure that eliminates the need for capacitors. …”
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Application of CoLD-CoP to Detecting Competitively and Cooperatively Binding Ligands by Shiva V. Patnala, Roberto Robles, David A. Snyder

“…The lengthy and costly process of identifying competitive or cooperative binding can be streamlined by coupling computational biochemistry and spectroscopy tools. …”
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A Unified Virtual Model for Real-Time Visualization and Diagnosis in Architectural Heritage Conservation by Federico Luis del Blanco García, Alejandro Jesús González Cruz, Cristina Amengual Menéndez, David Sanz Arauz, Jose Ramón Aira Zunzunegui, Milagros Palma Crespo, Soledad García Morales, Luis Javier Sánchez-Aparicio

“…Additionally, the methodology incorporates several post-processing stages designed to enhance the user experience in visualizing both the building and its associated damage. …”
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Assessing the Value of Transfer Learning Metrics for Radio Frequency Domain Adaptation by Lauren J. Wong, Braeden P. Muller, Sean McPherson, Alan J. Michaels

“…The use of transfer learning (TL) techniques has become common practice in fields such as computer vision (CV) and natural language processing (NLP). …”
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Artificial Neural Network Model for Monitoring Oil Film Regime in Spur Gear Based on Acoustic Emission Data by Yasir Hassan Ali, Roslan Abd Rahman, Raja Ishak Raja Hamzah

“…The purpose of this research is to use artificial neural network (ANN) computational modelling to correlate spur gear data from acoustic emissions, lubricant temperature, and specific film thickness (λ). …”
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Numerical Experiment for the Calculation of Normal Contact Stress in the Deformation Center when Rolling a Metal Strip by Yavtushenko A. V., Protsenko V. M., Bondarenko Y. V., Kirichenko A. G., Ping F. Y.

“…The algorithm, the block-scheme and the computer program of calculation of the normal contact stresses during rolling of the strips on the reverse mill 1680 PJSC “Zaporizhstal” are developed. …”
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How THC works: Explaining ligand affinity for, and partial agonism of, cannabinoid receptor 1 by Farsheed Shahbazi-Raz, Daniel Meister, Azam Mohammadzadeh, John Frederick Trant

“…Consequently, there has also been significant effort directed toward preparing synthetic cannabinoids with either enhanced agonistic or antagonistic activity against this receptor. The design process of these molecules, and the identification of off-target effects at this receptor for molecules designed to target other proteins, would be aided by a reliable computational tool that can accurately predict binding. …”
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On-Line Parameter Identification and SOC Estimation for Lithium-Ion Batteries Based on Improved Sage–Husa Adaptive EKF by Xuan Tang, Hai Huang, Xiongwu Zhong, Kunjun Wang, Fang Li, Youhang Zhou, Haifeng Dai

“…The results demonstrate that, in comparison to the conventional EKF, the enhanced EKF exhibits superior estimation precision and resilience to interference, along with enhanced convergence during the estimation process.…”
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High‐Throughput Nanorheology of Living Cells Powered by Supervised Machine Learning by Jaime R. Tejedor, Ricardo Garcia

“…The method reduces the computational time required to process a force volume of a cell made of 2.62 × 105 curves from several hours to minutes. …”
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Calibrating the microparameters of DEM models using the ant colony optimization algorithm and the optimal hyperparameters by Pingyang Fan, Junhua Chen, Yongjun Liao, Jiangshui Zhao, Min Wang

“…In contrast to other micro-parameter calibration techniques, no dataset is prepared, and the calibration process is controlled by the Python script language without any human interference. …”
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State estimation with quantum extreme learning machines beyond the scrambling time by Marco Vetrano, Gabriele Lo Monaco, Luca Innocenti, Salvatore Lorenzo, G. Massimo Palma

“…Abstract Quantum extreme learning machines (QELMs) leverage untrained quantum dynamics to efficiently process information encoded in input quantum states, avoiding the high computational cost of training more complicated nonlinear models. …”
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Research on a Point Cloud Registration Method Based on Dynamic Neighborhood Features by Xinrui Liu, Rutao Wang, Zongsheng Wang

“…This method increases the density and integrity of point cloud data, improves the accuracy and robustness of point cloud registration, and the selection of feature points reduces the computational load thereby enhancing processing efficiency. …”
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Rapid Design of a Coreless Axial Flux Motor Based on the Magnetic Charge Method by Guoqing Zhu, Zhihui Jin, Jian Luo

“…However, the optimization of axial flux motors is an extremely time-consuming process. To reduce the computational time required for motor optimization, this study employed a magnetic charge model to establish a coreless axial flux motor model and analyzed the advantages of this approach. …”
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Research on Thermal-Field and Sound-Field Coupling Properties of Different Grid Forms by Enlai Zhang, Liang Hou, Huikun Cai, Chao Shen, Yaxiang Zhang

“…The inlet grid and exhaust grid are widely used in engineering machinery products. The process that airflow goes through grids is a complex turbulent flow and directly related to the heat dispersion and aerodynamic noise. …”
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A Novel Control Method to Improve Current Regulation and Harmonics in Navigation Dimming Power Supply by Zhang Sun, Fan Wu, Weidong Jin, Jun Wang, Yunpu Wu, Xunbing Wu, Zhongjun Wei

“…The controller design process is presented in detail along with a system stability analysis. …”
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Rejeitos radioativos gerados na produção de Mo-99 por fissão nuclear by Goro Hiromoto, José Claudio Dellamano

“…This study aims to investigate in which extension the activity of the radioactive waste generated in the process is enhanced if different mass of the U-235 and irradiation time of the target is employed to produce the same quantity of Mo-99. …”
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Probability-temporal analysis of reliability indicators kinetics at the stage of designing a rope system of a mobile transport and reloading ropeway by Lagerev A.V., Tarichko V.I., Lagerev I.A.

“…The article presents a method of computer simulation of the process of time-varying reliability indicators of a key structural element of a mobile ropeway — the rope system as a whole. …”
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Compound Parameterization to Improve the Accuracy of Radiation Emulator in a Numerical Weather Prediction Model by Hwan‐Jin Song, Soonyoung Roh, Hyesook Park

“…Although the CP returning to the original parameterization causes a considerable increase in the computational time, this increase can be compensated by the infrequent use of the radiation scheme, thus maintaining the 60‐fold speedup of the radiation process with the NN emulator. …”
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Application of artificial intelligence-based stemness index in cancer by Liyuan Liu, Qin Pei, Javeria Qadir, Yiyu Chen, Jingyuan Li, Yanan Luo, Jiawen Xian, Rongrong Du, Ting Ye

“…The utilization of AI to analyze and compute the stemness index holds significant clinical relevance in tumor diagnosis and treatment. …”
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