Use of computer support as motivation for studying language information units for carrying out professional maritime activities in communication conditions by Tatyana Panayotovna Avanesova, Elena Yuryevna Zadorozhnaya, Tatyana Dmitrievna Kurshakova, Nonna Ivanovna Kozlova

“…The problem consists in a comparative consideration of the language terminological processes in professional maritime activities (PMA). …”
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Computational identification and experimental validation of novel Saccharum officinarum microRNAs along with their targets through RT-PCR approach by Abdul Baqi, Samiullah, Jadoon Khan, Asma Sadiq, Yousaf Khan, Shahid Ali, Syed Nadeem ul Hassan Mohani, Naqeebullah Khan, Tawaf Ali Shah, Khalid S. Almaary, Youssouf Ali Younous, Mohammed Bourhia

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Unveiling the ESIPT Luminescence Mechanism of 4′-N,N-Diethylamino-3-Hydroxyflavone in Ionic Liquid: A Computational Study by Jin Yang, Qi Li, Meilin Guo, Lu Yan, Lixia Zhu, Jing Zhao, Guangxiong Hu, Hang Yin, Ying Shi

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Learning computer-aided manufacturing from demonstration: a case study with probabilistic movement primitives in robot wood carving by Daniel Schäle, Martin F. Stoelen, Erik Kyrkjebø

“…Computer-Aided Manufacturing (CAM) tools are a key component in many digital fabrication workflows, translating digital designs into machine instructions to manufacture physical objects. …”
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Automated dairy cow identification and feeding behaviour analysis using a computer vision model based on YOLOv8 by Claudia Giannone, Mohsen Sahraeibelverdy, Martina Lamanna, Damiano Cavallini, Andrea Formigoni, Patrizia Tassinari, Daniele Torreggiani, Marco Bovo

“…While wearable sensors, such as accelerometers and RFID tags, provide accurate data, they have limitations, including high costs and potential stress on animals. Alternatively, computer vision-based approaches offer a non-invasive and efficient solution for monitoring feeding behaviour. …”
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Application of the U-Net Deep Learning Model for Segmenting Single-Photon Emission Computed Tomography Myocardial Perfusion Images by Ahmad Alenezi, Ali Mayya, Mahdi Alajmi, Wegdan Almutairi, Dana Alaradah, Hamad Alhamad

“…Detection and diagnosis of CAD are complex processes requiring precise and accurate image processing. …”
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Electronically Tunable Quadrature Sinusoidal Oscillator with Equal Output Amplitudes during Frequency Tuning Process by Den Satipar, Pattana Intani, Winai Jaikla

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Retracted: Vehicle Detection Algorithm Based on Embedded Video Image Processing in the Background of Information Technology by Journal of Electrical and Computer Engineering

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Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science by Emily M. Bender, Batya Friedman

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Computational Modelling of Tunicamycin C Interaction with Potential Protein Targets: Perspectives from Inverse Docking with Molecular Dynamic Simulation by Vivash Naidoo, Ikechukwu Achilonu, Sheefa Mirza, Rodney Hull, Jeyalakshmi Kandhavelu, Marushka Soobben, Clement Penny

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A Comprehensive Study Employing Computational Analysis and Mendelian Randomization Has Revealed the Impact of Key Genes on Liver Cancer by Size Li, Wenying Qi, Junzheng Wu, Chunhua Luo, Shihao Zheng, Xu Cao, Wei Wang, Qiyao Liu, Hongbo Du, Xiaoke Li, Xiaobin Zao, Yongan Ye

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Longitudinal changes in reinforcement learning during smoking cessation: a computational analysis using a probabilistic reward task by Chiara Montemitro, Paolo Ossola, Thomas J. Ross, Quentin J. M. Huys, John R. Fedota, Betty Jo Salmeron, Massimo di Giannantonio, Elliot A. Stein

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Effective data selection via deep learning processes and corresponding learning strategies in ultrasound image classification by Hyunju Lee, Jin Young Kwak, Eunjung Lee

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Range and angle estimation with spiking neural resonators for FMCW radar by Nico Reeb, Javier Lopez-Randulfe, Robin Dietrich, Alois C Knoll

“…Automotive radar systems face the challenge of managing high sampling rates and large data bandwidth while complying with stringent real-time and energy efficiency requirements. Neuromorphic computing offers promising solutions because of its inherent energy efficiency and parallel processing capacity. …”
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An Evaluation Framework for Communication and Coordination Processes in Offshore Software Development Outsourcing Relationship: Using Fuzzy Methods by Rafiq Ahmad Khan, Mohd Yazid Idris, Siffat Ullah Khan, Muhammad Ilyas, Sikandar Ali, Aziz Ud Din, Ghulam Murtaza, Abdul Wahid Khan, Saeed Ullah Jan

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Load prediction based elastic resource scheduling strategy in Flink by Ziyang LI, Jiong YU, Yuefei WANG, Chen BIAN, Yonglin PU, Yitian ZHANG, Yu LIU

“…In order to solve the problem that the load of big data stream computing platform fluctuates drastically while the cluster was suffering from the performance bottleneck due to the shortage of computing resources,the load prediction based elastic resource scheduling strategy in Flink (LPERS-Flink) was proposed.Firstly,the load prediction model was set up as the foundation to propose the load prediction algorithm and predict the variation tendency of the processing load.Secondly,the resource judgment model was set up to identify the performance bottleneck and resource redundancy of the cluster while the resource scheduling algorithm was proposed to draw up the resource rescheduling plan.Finally,the online load migration algorithm was proposed to execute the resource rescheduling plan and migrate processing load among nodes efficiently.The experimental results show that the strategy provides better performance promotion in the application with drastically fluctuating processing load.The scale and resource configuration of the cluster responded to the variation of processing load in time and the communication overhead of the load migration was reduced effectively.…”
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AoI-aware task scheduling in edge-assisted real-time applications by WANG Hongyan, SUN Qibo, MA Xiao, ZHOU Ao, WANG Shangguang

“…Simultaneously, reasonable deadlines were assigned to each offloaded task to ensure their validity before entering the computation process. Then, the minimum processing rate constraint method was employed to restrict the processing rate during task scheduling, thereby ensuring the real-time nature of task scheduling. …”
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Optimizing Geophysical Inversion: Versatile Regularization and Prior Integration Strategies for Electrical and Seismic Tomographic Data by Guido Penta de Peppo, Michele Cercato, Giorgio De Donno

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Signaling collection and monitoring technology based on FKS by Baoyou WANG, Jian YAO, Zhengqing ZHANG

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Signaling collection and monitoring technology based on FKS by Baoyou WANG, Jian YAO, Zhengqing ZHANG

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