Using machine learning algorithms to predict colorectal cancer by Xingjian Xiao, Bo Hong, Kubra Maqsood, Xiaohan Yi, Guoqun Xie, Hailei Zhao, Bo Sun, Jianying Mao, Shiyou Liu, Xianglong Xu

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A Collaborative Recommend Algorithm Based on Bipartite Community by Yuchen Fu, Quan Liu, Zhiming Cui

“…However, existing algorithms mainly focus on the overall topology structure and those local characteristics could also play an important role in collaborative recommend processing. …”
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Improved cell search algorithm for 5G NR by Baojiang DONG, Chen PENG, He LU

“…The era of 5G NR has higher requirements for speed, capacity and user experience.In 5G NR physical layer, cell search is an indispensable process.Cell search mainly includes primary synchronization signal (PSS) detection algorithm and secondary synchronization signal (SSS) detection algorithm.The traditional PSS detection algorithm and SSS detection algorithm can’t satisfy the basic requirements of 5G NR.In order to solve this problem, an improved PSS detection algorithm based on the traditional M-segment cross-correlation detection algorithm was proposed.When the channel environment is bad, the traditional SSS detection algorithm will also fail.The improved SSS detection algorithm proposed can solve this problem.Finally, the traditional algorithm and the improved algorithm were compared and analyzed.The simulation results show that the detection performance of the proposed algorithm is significantly improved, and the detection efficiency and overall performance are also improved.…”
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Local Community Detection Algorithm Based on Minimal Cluster by Yong Zhou, Guibin Sun, Yan Xing, Ranran Zhou, Zhixiao Wang

“…The algorithm mainly includes two phases. First it detects the minimal cluster and then finds the local community extended from the minimal cluster. …”
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Understanding the Impact of Algorithmic Discrimination on Unethical Consumer Behavior by Binbin Sun, Shan Pei, Qingjin Wang, Xuelei Meng

“…Existing research has mainly focused on anthropomorphic characteristics of AI and unethical consumer behavior (UCB). …”
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A Bat Algorithm with Mutation for UCAV Path Planning by Gaige Wang, Lihong Guo, Hong Duan, Luo Liu, Heqi Wang

“…Original bat algorithm (BA) is used to solve the UCAV path planning problem. …”
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A comparison of various imputation algorithms for missing data. by Jürgen Kampf, Iryna Dykun, Tienush Rassaf, Amir Abbas Mahabadi

“…Among the remaining algorithms, in most situations we tested, predictive mean matching performed best.…”
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Characterizing Optimum N Rate in Waterlogged Maize (<i>Zea mays</i> L.) with Unmanned Aerial Vehicle (UAV) Remote Sensing by Bhawana Acharya, Syam Dodla, Brenda Tubana, Thanos Gentimis, Fagner Rontani, Rejina Adhikari, Dulis Duron, Giulia Bortolon, Tri Setiyono

“…The experiment was performed using a split plot design with four replications, with soil moisture conditions as main plots and different N rates as sub-plots. The artificial intelligence SciPy (version 1.5.2) optimization algorithm and spherical function were used to estimate the economically optimum N rate under the different treatments. …”
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Noise correlations and neuronal diversity may limit the utility of winner-take-all readout in a pop out visual search task. by Ori Hendler, Ronen Segev, Maoz Shamir

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A machine learning model revealed that exosome small RNAs may participate in the development of breast cancer through the chemokine signaling pathway by Jun-luan Mo, Xi Li, Lin Lei, Ji Peng, Xiong-shun Liang, Hong-hao Zhou, Zhao-qian Liu, Wen-xu Hong, Ji-ye Yin

“…The chemokine signaling pathway may be involved in the early stage of breast cancer. …”
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A Novel Main-Lobe Cancellation Method Based on a Single Notch Space Filter and Optimized Correlation Analysis Strategy by Jiazhi Zhang, Xin Zhang, Weibo Deng, Liang Guo, Qiang Yang

“…Then, an improved main-lobe cancellation (IMLC) method based on single notch space filter and correlation analysis is proposed to get training data which contains precise clutter information. …”
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Active Privacy-Preserving, Distributed Edge–Cloud Orchestration–Empowered Smart Residential Mains Energy Disaggregation in Horizontal Federated Learning by Yu-Hsiu Lin, Yung-Yao Chen, Shih-Hao Wei

“…In this study, a distributed horizontal federated learning (HFL)–based energy management framework that implements an active privacy-preserving and edge–cloud collaborative computing–based energy disaggregation algorithm for smart mains energy disaggregation to energy-efficient smart houses/buildings is proposed, and its preliminary implementation, in which active two-stage energy disaggregation considering edge–cloud collaborative computing for autonomous AI modeling is achieved under HFL preserving user data privacy, is demonstrated. …”
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Impacts of Ground Slope on Main Performance Figures of Solar Chimney Power Plants: A Comprehensive CFD Research with Experimental Validation by Erdem Cuce, Pinar Mert Cuce, Harun Sen, K. Sudhakar, Umberto Berardi, Ugur Serencam

“…In this study, the impacts of the different slope angles of the ground, where the solar radiation is absorbed through the collector, on the main performance parameters of the system are numerically analysed through a reliable CFD software ANSYS FLUENT. …”
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MODELING OF A DUPLEX MILLER AND CONDITIONS OF FORMATION OF TREATMENT OF WHEEL PAIRS OF MAIN ELECTRIC CARDS, DUAL CARS, ELECTRO SECTIONS by Victor Shapovalov, Alexandr Permyakov, Alexander Klochko

“…The subject matter of the research in the article is the process of restoring the quality and accuracy of the working surface of the wheelsets of the main electric locomotives, electric sections. The purpose of the work is to develop a modeling method for a special shaped cutter with increased productivity, designed to process the profile of locomotive railway wheels taking into account the shaping processes, which is based on the theory of modeling the high-speed milling process through the shaping efficiency coefficient. …”
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Sorting algorithm acceleration based on CPU-FPGA heterogeneous system by Kou Yuanbo, Qiu Zeyu, Wang Liang, Huang Jianqiang

“…Traditional sorting methods are mainly implemented in software serial mode, including bubble sorting, selective sorting and so on. …”
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An algorithm for automatic fitting and formula assignment in atmospheric mass spectra by V. Mickwitz, O. Peräkylä, F. Graeffe, D. Worsnop, D. Worsnop, M. Ehn

“…</p> <p>The main result of this study is the algorithm itself. …”
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Recursive-Parallel Algorithm for Solving the Graph-Subgraph Isomorphism Problem by Vladimir V. Vasilchikov

“…In view of the high complexity of the problem, it is natural to want to speed up its solution by parallelizing the algorithm.We used the RPM ParLib library, developed by the author, as the main tool to program the algorithm. …”
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Cloud removal from satellite imagery based on SUSAN algorithm by LU Li1, WANG Yong-tao1, TIAN Jin-wen1, LIU Jian1

“…A new image fusion scheme that could automate remove the cloud covers in the main image was proposed based on SUSAN algorithm.First,the corners were found both in the main image and the reference image based on SUSAN algorithm,and then the matched corners were found using probabilistic relaxation algorithm to register the ref-erence image to the main image.Finally,a cloud-removed image was obtained by fusion.The performance of the pro-posed scheme is demonstrated experimentally.…”
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Mathematical Models and Algorithms of Optimal Load Management of Electricity Consumers by I. U. Rakhmonov, K. M. Reymov

“…Load profile alignment based on optimal power consumption management is considered to be one of the main ways to ensure efficient operation of energy systems in the short-term planning. …”
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Basic principals of the tiltrotors flight control system architecture and algorithms by M. I. Myasnikov, I. R. Ilyin

“…This study describes the main structure and algorithm development principles of flight control systems for tiltrotor aircraft using the example of rotary-wing aircraft V-22 Osprey and AW609. …”
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