PERSONALIZATION OF BANKING SERVICES BASED ON OPEN SOURCE ANALYSIS VIA USE OF BIG DATA by E. Zaytseva

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A Method for Fast Leaderboard Calculations in Massive Online Game-Based Environments by Julian Moreno Cadavid, Hernán Darío Vanegas Madrigal

“…It is based on two particular data structures, a Self-Balanced Ordering Statistic Tree and a hash table, to perform proper leaderboard calculations in a fast and cheap way. …”
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Analysis of algorithmic problems solved in Olympiads: stands of students and experts by Jonas Blonskis, Valentina Dagienė, Kostas Plukas

“…The main attention is paid to selection, development and application of proper data structures. …”
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Analysis of data types in "Comenius Logo" by Valentina Dagienė

“…The traditional one considers three kinds of "Comenius Logo" data structures: words, images, and lists. The modern standpoint pick out three mechanisms of forming and exploring data: primitive data (to represent basic entities of the program­ming languages); means of combination (to build compound data from simple ones); means of abstraction (to name compound objects and manipulate them as units). …”
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Bitcoin blockchain based information convert transmission by Tao ZHANG, Qianhong WU, Zongxun TANG

“…To meet efficient, safe, covert and stable transmission of confidential information, the transaction data structures, location and capacity of potential convert channels were analyzed.Then a formal security model of covert transmission in the bitcoin blockchain environment was proposed, which would not break the transaction structures, add special transaction content, can overcome shortcomings of traditional convert channels and protect the anonymity of both sender and receiver.The proposed security model opens a promising avenue of covert transmission, which is of great significance to promote the secure transmission technologies for the national special applications.…”
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Self-Supervised Deep Hyperspectral Inpainting with Plug-and-Play and Deep Image Prior Models by Shuo Li, Mehrdad Yaghoobi

“…The proposed algorithm extends the successful joint low-rank and sparse model to further exploit the underlying data structures beyond the conventional and sometimes restrictive unions of subspace models. …”
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Synthesis Characterization and Biological Investigations on Metal Complexes of 2-[(8-Hydroxy-1-quinolin-5-yl) methyl]-1H-isoindole-1, 3 (2H) dione by M. R. Solanki, G. D. Acharya, M. V. Hathi

“…Coordination of the ligand atom to the metal ion was deduced by IR and reflecting spectral data. Structures of the complexes were confirmed by magnetic studies. …”
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Fast two dimensional to three dimensional registration of fluoroscopy and CT-scans using Octrees on segmentation maps by Luca Bertelli, Frédéric Gibou

“…Our approach originates from the segmentation of the volumetric data into multiple regions, which allows a compact representation viaOctree Data Structures. This, in turn, yields efficient storage and access of the attenuation indexes of the volumetric cells, required in the projection procedure that generates the DRR. …”
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Algorithms for partitioning logical circuits into subcircuits by N. A. Kirienko

“…Algorithms perform the partitioning the system of logical equations into subsystems with the restrictions of the number of input and output variables. The data structures to execute the algorithms are defined. …”
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SA Sorting: A Novel Sorting Technique for Large-Scale Data by Mohammad Shabaz, Ashok Kumar

“…Sorting is one of the operations on data structures used in a special situation. Sorting is defined as an arrangement of data or records in a particular logical order. …”
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Data Domain Servitization for Microservices Architecture by Patricio Michael Paccha, Victor Vicente Velepucha

“…This article reports an empirical study based on a systematic literature review aimed at identifying modeling techniques for segmenting data structures during microservice design. The review found limited methods to address the appropriate level of data granularity per microservice. …”
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A tensor compression algorithm using Tucker decomposition and dictionary dimensionality reduction by Chenquan Gan, Junwei Mao, Zufan Zhang, Qingyi Zhu

“…In previous work, tensor data structures are usually destroyed by vectorization operations, resulting in information loss and new noise. …”
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A Comparative Analysis of Support Vector Machine and K-Nearest Neighbors Models for Network Attack Traffic Detection by Han Zhuoxi

“…On the other hand, KNN proves to be more efficient and straightforward when applied to less complex data structures. The outcomes of this study provide significant insights into enhancing cybersecurity systems, with recommendations for refining machine learning models to better address emerging threats. …”
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Enhancing the Efficiency of a Decision Support System through the Clustering of Complex Rule-Based Knowledge Bases and Modification of the Inference Algorithm by Agnieszka Nowak-Brzezińska

“…Effective exploration of new knowledge in every domain of human life requires new algorithms of knowledge organization and a thorough search of the created data structures. In this work, the author introduces an optimization of both the knowledge base structure and the inference algorithm. …”
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A Fast CT Reconstruction Scheme for a General Multi-Core PC by Kai Zeng, Erwei Bai, Ge Wang

“…In the proposed scheme, several techniques are integrated, including utilization of geometric symmetry, optimization of data structures, single-instruction multiple-data (SIMD) processing, multithreaded computation, and an Intel C++ compilier. …”
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TRAPR: R Package for Statistical Analysis and Visualization of RNA-Seq Data by Jae Hyun Lim, Soo Youn Lee, Ju Han Kim

“…However, these tools focus on specific aspects of the data analysis pipeline, and are difficult to appropriately integrate with one another due to their disparate data structures and processing methods. They also lack visualization methods to confirm the integrity of the data and the process. …”
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Development of Integrated Choice and Latent Variable (ICLV) Models Using Matrix-Based Analytic Approximation and Automatic Differentiation Methods on TensorFlow Platform by Jie Ma, Xin Ye, Kun Huang

“…It is found that the parameter estimates and standard error estimates are acceptable for both models and the computational time is expected to decrease using tensor data structures on the TensorFlow platform. For the four-alternative ICLV models, the TVBS method has the highest level of accuracy. …”
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Effectiveness and Design of PBL-Based Project Approach for Non-Major University Computing Courses by Jung-In Choi, Sooyeon Yang

“…These findings suggest that the Problem-Based Learning project approach mirrors real-world practices, equipping students with essential computational thinking skills and a deeper understanding of foundational topics such as Python, data structures, and algorithms. This study provides valuable insights for the development of instructional strategies in computing courses for non-major students, emphasizing the importance of creating systematic learning environments that bridge theoretical knowledge and practical application through real-world problem-solving activities.…”
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Research on Optimization of Big Data Construction Engineering Quality Management Based on RNN-LSTM by Daopeng Wang, Jifei Fan, Hanliang Fu, Bing Zhang

“…Then, with the aid of word cloud visualization and cluster analysis, the associations between data structures are tapped, and the integrated unstructured data is converted into structured data. …”
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Equivalent Characterizations of Some Graph Problems by Covering-Based Rough Sets by Shiping Wang, Qingxin Zhu, William Zhu, Fan Min

“…Covering is a widely used form of data structures. Covering-based rough set theory provides a systematic approach to this data. …”
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