Two architectures of neural networks in distance approximation by Wiktor Wojtyna, Jakub Sławiński, Radosław Tonga

“… In this research paper, we examine recurrent and linear neural networks to determine the relationship between the amount of data needed to achieve generalization and data dimensionality, as well as the relationship between data dimensionality and the necessary computational complexity. To achieve this, we also explore the optimal topologies for each network, discuss potential problems in their training, and propose solutions. …”
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MAPM:PolSAR Image Classification with Masked Autoencoder Based on Position Prediction and Memory Tokens by Jianlong Wang, Yingying Li, Dou Quan, Beibei Hou, Zhensong Wang, Haifeng Sima, Junding Sun

“…Deep learning methods have shown significant advantages in polarimetric synthetic aperture radar (PolSAR) image classification. …”
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LITP-GAN: Leaf image translation pipeline using DETR and GLA-Net considering the lesion area of plant disease by Ri Zheng, Jimin Lee, Helin Yin, Dong Jin, Yeong Hyeon Gu

“…Deep learning techniques have already been successfully applied to several tasks in agriculture, but it requires sufficient datasets. …”
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Simulation of a Multi-Stage Stress Field and Regional Prediction of Structural Fractures in the Tucheng Syncline, Western Guizhou, China by Jilin Wang, Lijun Jiang, Tiancheng Cang, Xiaozhi Zhou, Bicong Wang

“…The prediction of structural fractures in concealed coal-bearing strata has always been a complex problem. The purpose of this study was to clarify the tectonic evolution of the study area, i.e., the Tucheng syncline, since the coal-forming period and to predict the development of structural fractures. …”
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Sb-PiPLU: A Novel Parametric Activation Function for Deep Learning by Ayan Mondal, Vimal K. Shrivastava, Ayan Chatterjee, Raghavendra Ramachandra

“…Common issues include the dying neuron problem, bias shift, gradient explosion, and vanishing gradients. …”
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Study on the Method of Real-Time Picking up the First Break of Seismic Phase in Museum Response Monitoring by ZHU Hongguang, LIANG Shibo, BAI Xiaobin, XU Chen

“…On the basis of characteristics of complex museum environment, low signal-to-noise ratio, non-stationary, and aperiodic signals, a real-time picking algorithm for automatic recognition of earthquake first break was proposed. …”
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A 79 GHz SiGe Doherty Power Amplifier Suitable for Next-Generation Automotive Radar by Jan Schoepfel, Tobias T. Braun, Julia Hellwig, Holger Rucker, Nils Pohl

“…Therefore, conventional amplifiers have to be operated in power back-off to maintain linear operation at the drawback of reduced power-added efficiency. …”
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Integrated Photonic Neural Networks for Equalizing Optical Communication Signals: A Review by Luís C. B. Silva, Pablo R. N. Marciano, Maria J. Pontes, Maxwell E. Monteiro, Paulo S. B. André, Marcelo E. V. Segatto

“…Therefore, the development of solutions for the adequate recovery of such signals distorted by the complex dynamics of the transmission channel currently constitutes an open problem since, despite the existence of well-known and efficient equalization techniques, these have limitations in terms of processing time, hardware complexity, and especially energy consumption. …”
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Constraints on multi-item working memory access: performance costs and retrieval dynamics by Chen Tiferet-Dweck, Chen Tiferet-Dweck, Abigail Keegan, Kerstin Unger, Kerstin Unger

“…These findings clarify key limitations of multi-item WM, with important implications for complex tasks such as language comprehension, decision-making, and problem solving.…”
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Klebsiella Lytic Phages Induce <i>Pseudomonas aeruginosa</i> PAO1 Biofilm Formation by Grzegorz Guła, Grazyna Majkowska-Skrobek, Anna Misterkiewicz, Weronika Salwińska, Tomasz Piasecki, Zuzanna Drulis-Kawa

“…Bacterial biofilms, characterized by complex structures, molecular communication, adaptability to environmental changes, insensitivity to chemicals, and immune response, pose a big problem both in clinics and in everyday life. …”
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Research on the Coal Seam Permeability-Increasing Technology via High-Pressure Water Jet Reaming and Its Application by Xingang Niu, Biming Shi, Zhigang Zhang, Yongjiang Zhang

“…Aiming at the problem of coal and gas outburst prevention and control in serious outburst dangerous coal seam under complex geological conditions in Qidong Coal Mine, the water jet drilling and expanding integrated device was used to implement the measures that expand holes and increase permeability by high-pressure water at a 912 working face. …”
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Multi-Class Urinary Sediment Particles Detection Based on YOLOv7 With Attention Modules by Tatsuki Komori, Hiroki Nishikawa, Keita Sasaki, Ittetsu Taniguchi, Takao Onoye

“…However, the segmentation process for sediment particles in urine images is complex due to the inherent limitations of low contrast and weak edge characteristics. …”
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The Linear Diophantine Fuzzy Z-Numbers Set: Development and Application to Decision Making in Textile Engineering Using the Bonferroni Mean Operator by Muhammad Umar Mirza, Rukhshanda Anjum, Hong Min, Badr S. Alkahtani, Mohd Anjum

“…The proposed generalized Bonferroni mean operator captures interactions between multiple attributes, providing a more robust aggregation mechanism in decision-making processes. We have applied this methodology to a real-world problem in textile engineering, selecting the best fabrics for designing new cricket uniforms. …”
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Exploring Flexible Penalization of Bayesian Survival Analysis Using Beta Process Prior for Baseline Hazard by Kazeem A. Dauda, Ebenezer J. Adeniyi, Rasheed K. Lamidi, Olalekan T. Wahab

“…However, when dealing with time-to-event data in survival analysis, where censoring is a key consideration, progress in addressing this complex problem has remained somewhat limited. Moreover, in microarray research, it is common to identify groupings of genes involved in the same biological pathways. …”
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Graph Neural Network for In-Network Placement of Real-Time Metaverse Tasks in Next-Generation Networks by Sulaiman Muhammad Rashid, Ibrahim Aliyu, Il-Kwon Jeong, Tai-Won Um, Jinsul Kim

“…While traditional machine learning (ML) methods have been applied to task placement, they often fail to accurately capture the complex relationships between tasks and computing nodes in such dynamic environments. …”
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Tracking Control of Vacuum Circuit Breaker Based on a Control Law with Nonlinear Correction Function by Liyan Zhang, Yongxing Wang, Yu Tian, Enyuan Dong, Yu Zhu, Jiyan Zou

“…However, PMA is a nonlinear, high-order complex system. The control process is dynamic following control. …”
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Leader’s management decision-making style and emotional intelligence of higher education students studying in the speciality “Law Enforcement” by S. V. Kharchenko, O. V. Koldashov

“…Leadership qualities are a complex set of cognitive properties, personal qualities and behavioural skills. …”
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Exploring foreign language anxiety in higher education: Multifaceted insights into causes, impacts, and coping strategies by Osman Özdemir, Hümset Seçkin

“…This study sheds light on the complex dimensions of English speaking and writing anxiety and offers practical suggestions for both language teachers and language learners to address this problem. …”
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The features of the first trimester of pregnancy course in first-time mothers over 40 years old by Т. V. Lescheva

“…Despite the fact that many scientific groups in Ukraine and abroad work to solve this problem, the level of miscarriage is from 5.0 to 10.0%. …”
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Interstitial lung diseases and autoimmunity by E. L. Nasonov, L. P. Ananyeva, A. S. Belevsky

“…Problem of ILD-SARDs diagnostic is very complex, which determines a multidisciplinary approach based on the interaction with rheumatologists, pulmonologists and radiologists. …”
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