SVDD: SAR Vehicle Dataset Construction and Detection by Dan Gao, Xiaofang Wu, Zhijin Wen, Yue Xu, Zhengchao Chen

“…With the advent of high-quality SAR images and the rapid development of computing technology, the object detection algorithms based on convolution neural network have attracted a lot of attention in the field of SAR object detection. …”
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Transformer-Based Multi-Player Tracking and Skill Recognition Framework for Volleyball Analytics by Lei Jiang, Zhihong Yang, Lei Gang

“…The integration of advanced computing technologies has opened new avenues in sports analytics, enabling data-driven methods for performance monitoring and strategy development. …”
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Soft Artificial Synapse Electronics by Md. Rayid Hasan Mojumder, Seongchan Kim, Cunjiang Yu

“…Functionalized SASs, capable of recognizing optical, mechanical, chemical, olfactory, and auditory cues, demonstrate promising applications in computing and sensing. A detailed examination of photo-functionalized, tactile-functionalized, and chemoreception-functionalized SASs reveals their potential in image recognition, tactile sensing, and chemosensory applications, respectively. …”
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Control system for noise-resistant electronic speed controller of a brushless electric motor for an unmanned aerial vehicle by M. V. Parinov, A. N. Yurov, Ya. V. Skitskiy

“…Methods of algorithmization, expert assessments, linear computational processes and experimental studies were used.Results. …”
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Improving the Performance of Whale Optimization Algorithm through OpenCL-Based FPGA Accelerator by Qiangqiang Jiang, Yuanjun Guo, Zhile Yang, Zheng Wang, Dongsheng Yang, Xianyu Zhou

“…Numerical results show that the proposed approach achieves a promising computational performance coupled with efficient optimization on relatively large-scale complex problems.…”
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Performance characteristics of the fork-join queuing system by V. I. Klimenok

“…The results of the study can be used for modeling various computer and communication systems, in particular, systems that perform parallel computing, customer processing in distributed databases, and parallel disk access.…”
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Building Information Modeling and Internet of Things Integration in the Construction Industry: A Scoping Study by Baydaa Hashim Mohammed, Hasimi Sallehuddin, Nurhizam Safie, Afifuddin Husairi, Nur Azaliah Abu Bakar, Farashazillah Yahya, Ihsan Ali, Shaymaa AbdelGhany Mohamed

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A Multi-Faceted Approach to Trending Topic Attack Detection Using Semantic Similarity and Large-Scale Datasets by Insaf Kraidia, Afifa Ghenai, Samir Brahim Belhaouari

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The Comparison of Classical Statistical and Machine Learning Methods in Prediction of Thrombosis in Patients with Acute Myeloid Leukemia by Ilija Doknić, Mirjana Mitrović, Zoran Bukumirić, Marijana Virijević, Nikola Pantić, Nikica Sabljić, Darko Antić, Živko Bojović

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SERGHEI v2.0: introducing a performance-portable, high-performance, three-dimensional variably saturated subsurface flow solver (SERGHEI-RE) by Z. Li, G. Rickert, N. Zheng, Z. Zhang, I. Özgen-Xian, D. Caviedes-Voullième, D. Caviedes-Voullième

“…<p>Advances in high-performance parallel computing have significantly enhanced the speed of large-scale hydrological simulations. …”
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A new dimensionality reduction technique based on the Wavelet Transform for cancer classification by Lisardo Fernández, Mariano Pérez, Juan M. Orduña, José M. Alcaraz

“…Results The performance evaluation results show that the proposed technique significantly reduces both the computational resources and the execution time required for dimensionality reduction. …”
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GroupFound: An effective approach to detect suspicious accounts in online social networks by Bo Feng, Qiang Li, Xiaowen Pan, Jiahao Zhang, Dong Guo

“…As the bi-followers come from different social communities, we divide all accounts into different groups and compute the average number of accounts for these groups . …”
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An Enhanced Deep Neural Network for Predicting Workplace Absenteeism by Syed Atif Ali Shah, Irfan Uddin, Furqan Aziz, Shafiq Ahmad, Mahmoud Ahmad Al-Khasawneh, Mohamed Sharaf

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Quaternion modeling of the helical path for analysis of the shape of the DNA molecule by A. F. Muterko

“…Alternatively, desired base pair parameters can be computed based on publicly available information about atomic DNA structures. …”
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Layer Information Similarity Concerned Network Embedding by Ruili Lu, Pengfei Jiao, Yinghui Wang, Huaming Wu, Xue Chen

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Detection and localization of indigenous economic grasses in depth-color close-range aerial images, using a novel trainingless data-to-decision approach (DIKD Hierarchy), for the S... by Radhwan Sani, Tamer Rabie, Ali Cheaitou

“…Researchers utilized off-the-shelf supervised learning modules for plant detection, by re-training these modules on powerful computers. This research, in contrast, aims at developing an unsupervised trainingless method that runs on resource-limited edge-computers. …”
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Highly Parallel Regular Expression Matching Using a Real Processing-in-Memory System by Jeonghyeon Joo, Hyojune Kim, Hyuck Han, Eul Gyu Im, Sooyong Kang

“…Processing-in-Memory (PIM) is an emerging computing paradigm exploiting a cutting-edge memory device (PIM device) that integrates hundreds to thousands of processing units with the memory modules. …”
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Local Path Planning for Unmanned Surface Vehicle Collision Avoidance Based on Modified Quantum Particle Swarm Optimization by Guoqing Xia, Zhiwei Han, Bo Zhao, Xinwei Wang

“…In MQPSO, the efficiency of quantum encoding in quantum computing and the optimization ability of representing the motion states of the particles with wave functions to cover the whole feasible solution space are combined. …”
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Evolutionary Hyperheuristics for Location-Routing Problem with Simultaneous Pickup and Delivery by Yanwei Zhao, Longlong Leng, Jingling Zhang, Chunmiao Zhang, Wanliang Wang

“…Experimental results show that the proposed approaches outperform most fine-tuned bespoke state-of-the-art approaches in the literature, and PS-AM and AS-AM perform better when compared to the rest of the pairs in terms of obtaining a good trade-off of solution quality and computing time.…”
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Modelling Shallow Water Wakes Using a Hybrid Turbulence Model by Clemente Rodriguez-Cuevas, Carlos Couder-Castañeda, Esteban Flores-Mendez, Israel Enrique Herrera-Díaz, Rodolfo Cisneros-Almazan

“…We found that when using only a k-ϵ model in the vertical and horizontal direction, the numerical results overestimate the experimental data. Additionally the computing time is reduced by simplifying the turbulence model.…”
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