FORECASTING AND OPTIMIZATION OF CATALYTIC CRACKING UNIT OPERATION UNDER CONDITIONS OF FUZZY INFORMATION by Narkez Boranbayeva, Batyr Orazbayev, Leila Rzayeva, Zhalal Karabayev, Murat Alibek, Baktygul Assanova

“…The paper presents a procedure for developing and applying nonlinear regression models, describes algorithms for synthesizing linguistic models, and provides examples of their use to optimize the operation of catalytic cracking units. …”
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Tourism planning in the Azores and feedback from visitors by João Crispim Ponte, Gualter Couto, Pedro Pimentel, Áurea Sandra Toledo de Sousa, André Oliveira

“…This study aims to analyse the improvements that, in the opinion of visitors, should be implemented in Ponta Delgada, the largest hub of tourism activity in the Azores (Portugal), detecting differences between specific groups of visitors, in order to contribute to territorial organisation and the optimisation of tourism experiences. 400 answers to a survey distributed among tourists who visited this Azorean municipality were analysed, using several statistical methods, such as the chi-square test of independence and some Hierarchical Cluster Analysis algorithms. The main conclusions refer to the statistically significant associations between the mean of transport used to travel and views of some aspects to be improved, with signs of patterns in visits and critical attitude.…”
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MODERN ARCHITECTURE BOARD INFORMATION AND CONTROL SYSTEMS OF HEAVY VEHICLES by V. V. Filinov, S. A. Mikaeva, M. S. Rodyukov, A. V. Filinova

“…The main results on the development of the means of magneto-noise control, achieved at the department of electrical engineering and mechanics of Moscow Technological University (MGUPI), their applications in the technologies of engineering, aviation and oil and gas industries are presented.…”
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A Review of Research on Path Planning of Unmanned Surface Vessel Swarm: Deep Reinforcement Learning by Yuli HOU, Ning WANG, Chidong QIU, Yongpeng WENG

“…Finally, the main challenges and development directions in this field were summarized. …”
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Diagnosis and treatment of synthetic mid-urethral sling complications by Helen E. O’Connell, Christopher K. Harding, Gaurav Khatri, Phyllis Glanc, Eric Bautrant, Sarah Love-Jones, Karen Ward, Henry H. Yao, Ventia Hoe, Charlotte Korte, Nicolle Germano, Sanjeevan Kalavampara, Sherif Mourad, Hashim Hashim

“…Key Findings and Conclusions:: This overview of SMUS complications commissioned by the ICS aims to provide background literature and algorithms for management of common problems that may present, though it is not exhaustive. …”
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Machine Learning for FPGA Electronic Design Automation by Armando Biscontini, E. Popovici, A. Temko

“…The work also presents the main ML methodologies and future challenges, serving as a roadmap for FPGA practitioners to navigate in the area of ML for FPGA EDA.…”
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Novel Hybrid UNet++ and LSTM Model for Enhanced Attack Detection and Classification in IoMT Traffic by Anzhelika Mezina, Jari Nurmi, Aleksandr Ometov

“…Finally, we highlight the main limitations as well as possibilities for real-world implementation of the approach.…”
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Development of a new method of diagnostics electromagnetic drive power and commutation mechanisms by I. V. Bochkarev, I. V. Bryakin

“…The method allows to diagnose the current state of the main functional units of the EMM and to control its operating modes as a whole.…”
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TSQ: An Optimized Framework for Efficiently Answering Time Series Queries by Feifan Pu, Jianqiu Xu

“…Firstly, dimensionality reduction algorithms can be employed to reduce the complexity of the data. …”
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Stakeholder analysis of climate projects implemented within green areas by Kolarzh Vyacheslav, Karamyshev Viktor

“…However, at the moment, green areas, the creation of which may be mandatory, are actually excluded from the context of climate projects. …”
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Develop Approach to Predicate Software Reliability Growth Model Parameters Based on Machine learning by anfal A. Fadhil, Asmaa’ H. AL_Bayati, Ibrahim Ahmed Saleh

“…One of the most important aspects in determining the quality of a software product before placing it on the market is its reliability. The main problem in creating effective software that satisfies the user preferences is that it must be highly reliable. …”
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Early Perspectives on the Planned Brazilian Program to Address Ship-Sourced Pollution by Daniel Constantino Zacharias, Angelo Teixeira Lemos

“…The system incorporates a range of technologies, such as satellite data, AI algorithms, autonomous sensors, and high-resolution modeling, to detect and respond to oil spills and maritime threats. …”
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Design Methodology and Performance Evaluation of New Generation Sounding Rockets by Marco Pallone, Mauro Pontani, Paolo Teofilatto, Angelo Minotti

“…Three different guidance algorithms are used for the trajectory integration: constant attitude, near radial, and sun-pointing. …”
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Expert Study of Issues Related to the Calculation and Payment of Wages and Other Payments Established by Law: Guidelines by М. М. Vinogradova, N. N. Bondar’

“…Based on the examples from expert practice, the author gives algorithms for solving the tasks on the calculation and payment of wages. …”
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CONSTRUCTION OF SUBSTITUTION BOX (S-BOX) BASED ON IRREDUCIBLE POLYNOMIALS ON GF(2^8) by Faldy Tita, Adi Setiawan, Bambang Susanto

“…In the field of modern encryption algorithms, the creation of S-Box is an essential element that plays an important role in maintaining data security in various industries. …”
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A new numerical method for processing longitudinal data: clinical applications by Ilaria Stura, Emma Perracchione, Giuseppe Migliaretti, Franco Cavallo

“…In particular, our mixed model, that uses Radial Basis Functions (RBFs) combined with Stochastic Optimization Algorithms (SOMs), is here presented and tested on clinical data. …”
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Nutrient estimation in the Peruvian upwelling system based on a neural network approach by Cristhian Asto, Cristhian Asto, Anthony Bosse, Alice Pietri, Raphaëlle Sauzède, Michelle Graco, Dimitri Gutiérrez, Dimitri Gutiérrez, François Colas

“…Variables representing the low-frequency variability related to ENSO were introduced in the training and significantly improved the performance of the algorithm. The performance of CANYON-PU was validated against independent datasets and demonstrated an improvement in accuracy over the global CANYON model that struggled to represent the nutrient distribution in the PUS mainly due to the lack of samples in its training. …”
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Research Progress on Data-Driven Industrial Fault Diagnosis Methods by Liang Lei, Weibin Li, Shiwei Zhang, Changyuan Wu, Hongxiang Yu

“…The content covers the main sources of industrial big data, commonly used datasets, and the construction of related platforms. …”
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Smart Wireless Sensor Networks (WSNs): A Review on Concepts, Techniques, and Applications by Ali Hassan Sial, Muhammad Shafiq, Zubair Sajid Sial, Saleem Ahmed

“… In this modern era, Wireless Sensor Networks (WSNs) are considered rapidly evolving areas of computational research that constitute energy consumption, routing algorithms, and location-based sensors with a sole focus on robustness, efficiency, and improved performance metrics. …”
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Mechanisms for Secure Access to Data of Scientometric Systems Using Virtual DBMS by Alexander Kozitsin, Maxim Zanchurin

“…It presents descriptions of the main methods of implementing virtual databases, shows their advantages and disadvantages, and describes how to provide access for export and import of data. …”
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