Making JavaScript Render Decisions to Optimize Security-Oriented Crawler Process by Onur Aktas, Ahmet Burak Can

“…The widespread use of web applications requires important changes in cybersecurity to protect online services and data. In the process of identifying security vulnerabilities in web applications, a systematic approach is employed to detect and mitigate cybersecurity risks. …”
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Processing of retransmitted GPS signals in the problem of measuring the total electron content in the ionosphere by Y. A. Kapliarchuk, S. V. Kozlov, I. E. Savinykh, A. S. Shapkin

“…Coherent accumulation, taking into account a random uncontrolled shift in the frequency of the retransmitted signal, is implemented by discrete Fourier transform of the vectors formed for each resolution element in the delay time from inter-period readings of the results of intra-period processing, taking into account the range migration during the mutual movement of the NS, SR and RP.Results. …”
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The Adsorption Process and Mechanism of Benzo[a]pyrene in Agricultural Soil Mediated by Microplastics by Zhengyi Zhu, Lijuan Sun, Qin Qin, Yafei Sun, Shiyan Yang, Jun Wang, Yang Yang, Guangkuo Gao, Yong Xue

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THE INTEGRATION PROCESSES AND POLICY OF INTERSTATE COOPERATION IN THE CASPIAN REGION IN THE CONTEXT OF CHANGING THE MODERN INTERNATIONAL ORDER by M. M. Gadzhiev, I. N. Sokolova

“…The article explores the processes of transformation of the Caspian region from the area of post-Soviet collapse into a place for the implementation of strategically beneficial economic projects. …”
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Named Entity Recognition Model Based on the Fusion of Word Vectors and Category Vectors by Yang Zhou, Haoyang Zeng, Wei Zhang, Yuguang Zhang

“…Named entity recognition (NER) in deep learning mode heavily relies on the processing and analysis of text vectors. This paper introduces an NER model based on deep learning techniques, emphasizing the fusion of word vectors and category vectors to enhance text processing and analysis capabilities. …”
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Features of using Markov decision-making processes when modeling attacks on artificial intelligence systems by Igor A. Vetrov, Vladislav V. Podtopelny

“…Markov decision-making processes are used in the construction of the model. …”
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CROSS-CULTURAL DIFFERENCES PECULIARITIES OF THE INTERDEPENDENCE OF REGULATORY PROCESSES AND ADAPTATION OF STUDENTS TO THE CONDITIONS OF TRAINING IN THE UNIVERSITY by Tatiana Banshchikova, Varvara Morosanova

“…At the first stage of the study, the peculiarities of the students' adaptation to the conditions of study at the university were established, and the second one explored the peculiarities of regulatory processes among respondents belonging to different cultural communities. …”
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Magnetic properties and magnetic reversal processes of the Sm-Gd-Zr-Co-Cu-Fe alloys by P.A. Rakunov, M.B. Lyakhova, E.M. Semenova, A.Yu.. Karpenkov

“…The results of experimental studies of magnetic properties and magnetization reversal processes of a series of alloys Sm-Gd-Zr-Co-Cu-Fe are presented. …”
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High-tech agricultural tools as a determinant of dynamic rationalization of business processes in Russian agriculture by Moroz Oksana, Medvedsky Dmitriy

“…In the current environment of innovative transformations in the Russian Federation, there is a significant expansion of digital technological products, and there is an active digital optimization of business processes in all national economic sectors, including agriculture. …”
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Predicting EHL film thickness parameters by machine learning approaches by Max Marian, Jonas Mursak, Marcel Bartz, Francisco J. Profito, Andreas Rosenkranz, Sandro Wartzack

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PSLDV-Hop: a robust localization algorithm for WSN using PSO and refinement process by Bhupinder Kaur, Deepak Prashar, Arfat Ahmad Khan, Seifedine Kadry, Jungeun Kim

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A Distributed Detection Method for Quality-related Faults in Complex Non-stationary Industrial Processes by Jie DONG, Daye LI, Yanmei WEI, Kaixiang PENG, Hui YANG

“…The statistical characteristics of process data time series in the production process typically vary over time due to changes in production conditions, unknown external interference, load fluctuations, and other factors. …”
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Advanced Mineral Deposit Mapping via Deep Learning and SVM Integration With Remote Sensing Imaging Data by Nazir Jan, Nasru Minallah, Madiha Sher, Muhammad Wasim, Shahid Khan, Amal Al‐Rasheed, Hazrat Ali

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Cyberbullying-Related Automated Hate Speech Detection on Social Media Platforms Using Stack Ensemble Classification Method by Muhammad Mubeen, Aliza Muskan, Arslan Akram, Javed Rashid, Tagrid Abdullah N. Alshalali, Nadeem Sarwar

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Accounting Support Using Artificial Intelligence for Bank Statement Classification by Marco Lecci, Thomas Hanne

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Thermographic Data Processing and Feature Extraction Approaches for Machine Learning-Based Defect Detection by Alexey Moskovchenko, Michal Svantner

“…Machine learning algorithms have been applied to thermographic data to automate the defect detection process. Data preparation and feature extraction are crucial factors affecting ML model results, especially in thermographic data analysis. …”
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: Scalable and Energy-Efficient Processing of Continuous Range Queries for Location-Aware Mobile Computing by MoonBae Song

“…In our scheme, each mobile client (MC) is aware of its nearby monitoring queries by leveraging its processing power. The proposed Sleepwalk has three major contributions. …”
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ОPTIMAL ALGORITHM OF COMPLEX PROCESSING OF INFORMATION ABOUT THE SPATIAL POSITION OF AEROLOGICAL RADIOSONDE by E. A. Bolelov, Yu. M. Ermoshenko

“…In this article, a solution of Stratonovich was obtained for the case where the dynamics of the state vector in time is described by the quasi-random process.…”
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Signal-piloted processing and machine learning based efficient power quality disturbances recognition. by Saeed Mian Qaisar

“…Based on the conventional processing theory, the existing PQDs identification is time-invariant. …”
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Research and implementation of a full-process academic early warning and tracking evaluation system by Li Qipeng, Zeng Songwei

“…This paper uses Particle Swarm Optimization (PSO) to optimize Support Vector Machine (SVM), and combines Web and mini-program technology to implement a whole-process academic warning tracking and evaluation system, which effectively improves the accuracy and timeliness of warnings, filling in the gaps of traditional academic warning systems. …”
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