Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks by Magdalena Fafrowicz, Marcin Tutajewski, Igor Sieradzki, Jeremi K. Ochab, Jeremi K. Ochab, Anna Ceglarek-Sroka, Koryna Lewandowska, Tadeusz Marek, Barbara Sikora-Wachowicz, Igor T. Podolak, Paweł Oświęcimka, Paweł Oświęcimka, Paweł Oświęcimka

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Cluster Policy Based on the Analysis of the Situation in the Municipality by Yu. N. Lapygin, D. V. Tulinova

“…The ideas about the cluster approach are systematized both from the point of view of the integration of organizations and the typology of clusters, and in relation to the relationship of cluster and network structures. An algorithm for constructing a cluster policy at the level of the municipality based on the results of the analysis of factors of the external and internal environment is developed. …”
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Evaluation criteria of centralization options in the architecture of multicomputer systems with traps and baits by Antonina Kashtalian, Sergii Lysenko, Anatoliy Sachenko, Bohdan Savenko, Oleg Savenko, Andrii Nicheporuk

“…Therefore, the current task considered in the work is the development of rules for ensuring the restructuring of system centers according to different types of architecture. …”
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Option Pricing Based on Modular Neural Network by Moslem Peymany Foroushani, mohamad ali dehghan dehnavi, Milad Kouhkan

“…However, the performance of the developed multi-layer perceptron neural network model with implied volatility has been slightly better than that of its modular counterpart. …”
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Modeling and Analysis of a Cutting Robot for the “Excavation–Backfill–Retention” Integrated Mining and Excavation Equipment by Hongwei Ma, Wenda Cui, Chuanwei Wang, Xusheng Xue, Qinghua Mao, Haotian Wang, Limeng Xue, Hao Su, Zukun Yu, Jiashuai Cheng, Yifeng Guo, Kexiang Ma

“…Using a hierarchical solution method that combines local search and multi−objective genetic algorithms, the robot’s fundamental parameters were determined, enabling the development of a detailed 3D model. …”
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An integrated framework for satellite-based flood mapping and socioeconomic risk analysis: A case of Thailand by Nutchapon Prasertsoong, Nattapong Puttanapong

“…The study's analytical framework, notable for its cost-effectiveness, leverages openly accessible data and open-source software packages, making it highly applicable to various developing countries.…”
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A Study Investigating Interpretable Deep Learning Models for Predicting Mortality and Survival in Patients with Primary Thyroid Lymphomas by Zihan Yu, Rong Hu, Jiaqing Chen

“…Primary thyroid lymphoma (PTL) is a rare malignancy, and this study aimed to develop a prognostic prediction model for PTL using deep learning algorithms while providing interpretable analyses. …”
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SEN2NAIP: A large-scale dataset for Sentinel-2 Image Super-Resolution by Cesar Aybar, David Montero, Julio Contreras, Simon Donike, Freddie Kalaitzis, Luis Gómez-Chova

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Mixed Balanced Truncation for Reducing the Complexity of Large-Scale Electrical and Electronic System Simulations by Huy-Du Dao, Thanh-Tung Nguyen, Ngoc-Kien Vu, Van-Ta Hoang, Hong-Quang Nguyen

“…The main contributions of this work in developing the new reduction algorithm include the introduction of a novel definition of mixed balanced systems and theoretical advancements through the development of theorems, lemmas, and corollaries accompanied by rigorous mathematical proofs. …”
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A mm-Wave 2D Ultra-Wideband Imaging Radar for Breast Cancer Detection by Stefano Moscato, Giulia Matrone, Marco Pasian, Andrea Mazzanti, Maurizio Bozzi, Luca Perregrini, Francesco Svelto, Giovanni Magenes, Paolo Arcioni, Paul Summers

“…Experimental results show that 3 mm cross and 8 mm range resolutions were achieved, which is in line with theoretical expectations and promising for future developments.…”
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Domain Adaptation in Application to Gravitational Lens Finding by Hanna Parul, Sergei Gleyzer, Pranath Reddy, Michael W. Toomey

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TECHNOLOGY TRANSFER RISK MANAGEMENT IN THE CONDITIONS OF SCIENTIFIC INTERNATIONALISATION by Iryna Novikova, Alla Stepanova, Oksana Zhylinska, Anastasiia Samoilikova

“…Thus, the study aims to develop an algorithm for managing key risks that arise in the exchange of technology in the scientific and educational environment in the context of the internationalisation of science. …”
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RESEARCH ON SPEED AND PRESSURE CONTROL STRATEGY OF STABLE SWITCH ABOUT FOREPOLING EQUIPMENT by LUAN LiJun, ZHAO HuiMeng, XIE Miao, LIU ZhiXiang

“…Taking into account the operational principle of forepoling equipment,and as the target to improving support efficiency and reducing the disturbance on the roof in the process of supporting,a kind of speed and pressure composition control method was presented.The control method adopts the constant pump driven directly by servo motor to replace the traditional electro-hydraulic proportional valve,and the variable structure algorithm based on the fuzzy sliding mode was used as control strategy.Theoretical analysis and experimental results show that,compared with the traditional speed and pressure control method,the control method presented in the paper can reduce concussion on the roof in the process of switching from speed control to pressure control,and can improve support efficiency.Research findings can provide a theoretical basis for the development and control strategy of forepoling equipment.…”
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Improvement of table tennis technology based on data mining in the environment of wireless sensor networks by Hongjian Ma

“…With the development of Internet of things technology, the combination of Internet of things technology and sports competition parameter collection technology, so as to carry out rapid and accurate retrieval and positioning of technology and tactics, has innovation in the current research field. …”
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Optimal recall from bounded metaplastic synapses: predicting functional adaptations in hippocampal area CA3. by Cristina Savin, Peter Dayan, Máté Lengyel

“…Recent treatments based on the notion of metaplasticity provide a powerful model for individual bounded synapses; however, their implications for the ability of the hippocampus to retrieve memories well and the dynamics of neurons associated with that retrieval are both unknown. Here, we develop a theoretical framework for memory storage and recall with bounded synapses. …”
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Approximate Synthesis of Н_∞ – Controllers in Nonlinear Dynamic Systems over a Semi-Infinite Time Period by A. V. Panteleev, A. A. Yakovleva

“…This necessitates further research and development in this promising area. In this paper, in order to fill the existing gap, sufficient conditions for the existence of control for one of the frequently encountered classes of nonlinear systems are formulated and proven, which will then be used as a theoretical basis for developing approximate algorithms for finding it.Materials and Methods. …”
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Measuring Optical Scattering in Relation to Coatings on Crystalline X-Ray Scintillator Screens by Matthias Diez, Simon Zabler

“…In this study, a measurement method for determining optical scattering in scintillators is presented with the aim of further developing correction algorithms. A theoretical model based on internal multiple reflections was developed for this purpose. …”
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Porosity Analysis and Thermal Conductivity Prediction of Non-Autoclaved Aerated Concrete Using Convolutional Neural Network and Numerical Modeling by Alexey N. Beskopylny, Evgenii M. Shcherban’, Sergey A. Stel’makh, Diana Elshaeva, Andrei Chernil’nik, Irina Razveeva, Ivan Panfilov, Alexey Kozhakin, Emrah Madenci, Ceyhun Aksoylu, Yasin Onuralp Özkılıç

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Machine Learning Techniques Applied to COVID-19 Prediction: A Systematic Literature Review by Yunyun Cheng, Rong Cheng, Ting Xu, Xiuhui Tan, Yanping Bai

“…We systematically reviewed COVID-19 ML prediction models developed under the background of the epidemic using the PRISMA method. …”
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Sensitive Multispectral Variable Screening Method and Yield Prediction Models for Sugarcane Based on Gray Relational Analysis and Correlation Analysis by Shimin Zhang, Huojuan Qin, Xiuhua Li, Muqing Zhang, Wei Yao, Xuegang Lyu, Hongtao Jiang

“…Subsequently, three supervised learning algorithms—Gradient Boosting Decision Tree (GBDT), Random Forest (RF), and Support Vector Machine (SVM)—were employed to develop both single-stage and multi-stage yield prediction models. …”
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