Verification of color characteristics of document images captured in uncontrolled conditions by I.A. Kunina, O.A. Padas, O.A. Kolomyttseva

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Detecting malware based on expired command-and-control traffic by Futai Zou, Siyu Zhang, Linsen Li, Li Pan, Jianhua Li

“…In total, 3027 malware command-and-control domains in the network traffic of Shanghai Jiao Tong University, affecting 249 hosts, were successfully detected, with a high precision of 92.0%. This algorithm can find those malware with expired command-and-control domains that are usually ignored by current research and would have important value for eliminating network security risks and improving network security environment.…”
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A Novel Adaptive Cuckoo Search for Optimal Query Plan Generation by Ramalingam Gomathi, Dhandapani Sharmila

“…This paper focuses on the problem of query optimization of semantic web data. An efficient algorithm called adaptive Cuckoo search (ACS) for querying and generating optimal query plan for large RDF graphs is designed in this research. …”
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Damage Recovery Method for Air–Sea Cross-Domain Communication Network Based on Improved Dijkstra and Load Balancing by Zhigang Shang, Hongyu Zhang, Jing Yang

“…The simulation results show that the algorithm can effectively achieve network recovery.…”
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Analysis of pregnancy and childbirth course in pregnant women with excessive weight. by Yu. M. Duka

“…As a result of the obtained data in women of prospective group treatment algorithm was developed. This algorithm represented a complex treatment including antiagregant and anticoagulant therapy, co-factor vitamin therapy. …”
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Online Identification of Mathematical Model of Circular Plate for Vibration Cancellation by Paweł KOS

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An adaptive video stream transmission control method for wireless heterogeneous networks based on A3C by Zhiqiang LUO, Wei WANG, Xiaorong ZHU

“…The adaptive bit rate (ABR) algorithm has become the focus research in video transmission.However,due to the characteristics of 5G wireless heterogeneous networks,such as large fluctuation of channel bandwidth and obvious differences between different networks,the adaptive video stream transmission with multi-terminal cooperation was faced with great challenges.An adaptive video stream transmission control method based on deep reinforcement learning was proposed.First of all,a video stream dynamic programming model was established to jointly optimize the transmission rate and diversion strategy.Since the solution of this optimization problem depended on accurate channel estimation,dynamically changing channel state was difficult to achieve.Therefore,the dynamic programming problem was improved to reinforcement learning task,and the A3C algorithm was used to dynamically determine the video bit rate and diversion strategy.Finally,the simulation was carried out according to the measured network data,and compared with the traditional optimization method,the method proposed better improved the user QoE.…”
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A new approach to K-nearest neighbors distance metrics on sovereign country credit rating

“…This study introduces feature importance K-nearest neighbors (FIKNN), an innovative adaptation of the K-nearest neighbors (KNN) algorithm tailored for classifying sovereign country credit ratings. …”
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Optimizing the performance of a server-based classification for a large business document flow by O. A. Slavin

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A Stable Distributed Neural Controller for Physically Coupled Networked Discrete-Time System via Online Reinforcement Learning by Jian Sun, Jie Li

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Analysis of the sports action recognition model based on the LSTM recurrent neural network by Chen Ping, Peng Jiangui

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Spectroscopic measurement of near-infrared soil pH parameters based on GhostNet-CBAM. by Jianguo Zhu, Wenjin Wang, Peng Tian

“…Soil pH is an important parameter that affects plant nutrient uptake and biological activity and has received extensive attention and research. In this paper, we propose a neural network algorithm using Ghostnet combined with Convolutional Block Attention Module (CABM) to realize the near-infrared (NIR) PH spectral measurement of soil. …”
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NET GRAF CALCULATION METHOD FOR JOB COMPLETION CONSIDERING OF RESOURSES AVAILABALE by G. V. Golovchenko, M. I. Rebezova

“…The research considers the activity based network of routines performed by the integrated servicing crews at the airport. …”
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Exploring Solution Strategies for Volterra Integro-Differential Lane–Emden Equations in Astrophysics Using Haar Scale 3 Wavelets by Ratesh Kumar, Sabiha Bakhtawar, Homan Emadifar

“…The current research introduces a novel approach to address the computational challenges associated with solving the Lane–Emden-type equations by transforming them from their conventional differential form to the corresponding integro-differential form. …”
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Signature verification by geometry and image processing by Jaber Ebaa Abdulsattar, Ataei Alireza, Tavakoli Ali

“…Our findings demonstrate a significant improvement in accuracy over existing methods, as validated by several empirical examples. This research not only contributes to the field of signature verification but also opens avenues for future studies to enhance and adapt our algorithm for broader applications in security and authentication systems.…”
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Prediction of Students’ Performance Based on the Hybrid IDA-SVR Model by Huan Xu

“…The aim of this study is to propose a novel intelligent approach to predict students’ performance using support vector regression (SVR) optimized by an improved duel algorithm (IDA). To the best of our knowledge, few research studies have been developed to predict students’ performance based on student behavior, and the novelty of this study is to develop a new hybrid intelligent approach in this field. …”
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R-learning-based team game model for Internet of things quality-of-service control scheme by Sungwook Kim

“…Therefore, the design of quality-of-service management schemes has been a hot research issue. In this work, we formulate a new quality-of-service management scheme based on the IoT system power control algorithm. …”
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Ensuring the accuracy of the approximation of R/T-characteristics of NTC-thermistor based on neural network modeling by S. S. Fedin, I. S. Zubretskya

“…Statistical estimation has shown that for the purpose of solving the problem of neural network approximation of R/T-characteristics of NTC-thermistors, the Back Propagation algorithm is preferable to the Resilient Propagation algorithm. …”
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An Improved COLD Approach for Monitoring Construction Dynamics Using HLS and LULC Data: A Case Study in the New Capital of Egypt by M. Abdallah, M. Abdallah, M. Abdallah, E. Ali, E. Ali, X. Ding, X. Ding, S. Wu, S. Wu

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Possibilities of using a FRAX® risk calculator for 10-year probability of fractures assessment in patients with rheumatoid arthritis by O. A. Nikitinskaya, N. V. Toroptsova, E. L. Nasonov

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