Using preprocessed datasets to construct and interpret multiclass identification models by Cong Wang, Yufeng Fu, Ran Wan, Le Zhao, Hongbo Wang, Junwei Guo, Qiang Liu, Shan Li, Shengtao Ma, Zhicai Wang, Wei Huang, Huimin Liu, Song Yang, Cong Nie

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Analysis of the Possibility of Using 3D Printing for Emergency Replacement of Damaged Elements in the Marine Industry by Krzysztof Jasiński, Lech Murawski, Marcin Kluczyk, Jarosław Wierzchowski, Marek Chodnicki, Krzysztof Lipiński, Adam Szeleziński

“…The authors’ research interests include the application of incremental and hybrid methods for the production of new, fully functional parts that constitute equipment for ships and yachts. …”
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Technical, social, psychological and ethical aspects of human-robot collaboration: a case study of the 'Robin Heart' medical robot by Małgorzata Suchacka, Mariusz Wojewoda, Zbigniew Nawrat, Artur Domurat, Angelika Magdalena Pabian

“…The first agent is a person working in a medical facility, functioning in various roles: robot creator, programmer, device owner, operator, robot trainer. …”
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Uncovering abnormal gray and white matter connectivity patterns in Alzheimer’s disease spectrum: a dynamic graph theory analysis for early detection by Juanjuan Jiang, Tao Kang, Ronghua Ling, Yingqian Liu, Jiuai Sun, Yiming Li, Xiaoou Li, Hui Yang, Bingcang Huang, the Alzheimer’s Disease Neuroimaging Initiative

“…Traditional static brain network analyses lack sensitivity to detect early functional disruptions in SMC. This study aimed to improve preclinical AD stratification by integrating dynamic gray-white matter functional connectivity (DFC) and machine learning.MethodsUsing multi-cohort ADNI data [N = 1,415 participants across cognitive normal[CN], SMC, and cognitive impairment [CI]groups],dynamic functional networks were constructed via sliding-window analysis (20–50 TR windows, 98% overlap) of 200 gray matter (Schaefer atlas) and 128 data-driven white matter nodes. …”
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A BERT-based rice enhancer identification model combined with sequence-representation differential entropy interpretation by Yajing Pu, Xintong Hao, Zhaoqi Zheng, Huiyan Ma, Zhibin Lv

“…Enhancers, as key elements regulating the spatiotemporal-specific expression of genes, represent a core challenge in functional genomics due to their precise identification requirements. …”
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Control of an autonomous wind energy conversion system based on doubly fed induction generator supplying a non-linear load by M. L’Hadj Said, M. Ali Moussa, T. Bessaad

“…The control system of wind generator based on the maximum power point tracking and the control of bus continuous at output rectifier knowing that the non-linear loads introduce high harmonic currents and disrupt the proper functioning of the system. …”
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Active delta-learning for fast construction of interatomic potentials and stable molecular dynamics simulations by Yaohuang Huang, Yi-Fan Hou, Pavlo O Dral

“…ADL converges after a few iterations and needs tenfold fewer sampled points than without delta-learning while leading to models of similar accuracy, as we show on the test simulations of Diels–Alder reactions. …”
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Multi-task deep learning for simultaneous prediction of steel purity and carbon capture rate using membrane separation technology in integrated steelmaking processes by Somboon Sukpancharoen, Pakon Sakdee, Natacha Phetyim, Rinlada Sirisangsawang, Chayut Sungsook

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Gait-Based AI Models for Detecting Sarcopenia and Cognitive Decline Using Sensor Fusion by Rocío Aznar-Gimeno, Jose Luis Perez-Lasierra, Pablo Pérez-Lázaro, Irene Bosque-López, Marina Azpíroz-Puente, Pilar Salvo-Ibáñez, Martin Morita-Hernandez, Ana Caren Hernández-Ruiz, Antonio Gómez-Bernal, María de la Vega Rodrigalvarez-Chamarro, José-Víctor Alfaro-Santafé, Rafael del Hoyo-Alonso, Javier Alfaro-Santafé

“…<b>Background/Objectives</b>: Sarcopenia and cognitive decline (CD) are prevalent in aging populations, impacting functionality and quality of life. The early detection of these diseases is challenging, often relying on in-person screening, which is difficult to implement regularly. …”
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A Dynamic Neural Network Optimization Model for Heavy Metal Content Prediction in Farmland Soil by Kun Cao, Cong Zhang, Liangliang Li, Shuaifeng Li

“…The model is based on a radial basis function neural network (RBFNN). The weights and bias of the output layer of the RBFNN were generated using an adaptive dynamic genetic optimization algorithm (ADGOA), and the center point of the hidden layer of the RBFNN was determined using an efficient density peak clustering algorithm (EDPC). …”
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A novel region based neighbors searching classification algorithm for big data by Rajib Kumar Halder, Mohammed Nasir Uddin, Md Ashraf Uddin

“…RNSCA leverages dynamic, region-based partitioning for more focused and efficient neighbor searches and incorporates a weighted activation function to prioritize the most relevant data points during classification. …”
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Structure optimization of jacquard lifting knife on NURBS curve by YANG ZhenNing, LI YuLiang

“…Finally, aiming at the minimum quality, the primal-dual infeasible-interior-point algorithm was used to optimize the lifting knife structure. …”
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Using deep learning to capture gravel soil microstructure and hydraulic characteristics by Bin Zhu, Yu-Fei Xie, Xiang-Gang Hu, Dai-Rong Su

“…The results demonstrated a high consistency between the reconstructed model of gravel soil realizations and the original samples in terms of porosity, two-point correlation function, linear path function, specific surface, and Euler characteristics number. …”
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A Survey of 5G Core Network User Identity Protections, Concerns, and Proposed Enhancements for Future 6G Technologies by Paul Scalise, Michael Hempel, Hamid Sharif

“…In this paper, we explore the 5G specifications to understand the most important list of identifiers and their use across Virtual Network Functions (VNF), and points of exposure within the Core Network (CN). …”
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High-throughput sequencing metabarcoding and network analysis elucidate the effects of soil fumigation and biostimulant on potato yield, rhizoctonia canker, and fungal community by Honoré Tekeu, Honoré Tekeu, Honoré Tekeu, Joël D’Astous-Pagé, Thomas Jeanne, Richard Hogue

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On the Expressiveness of the Approach to Constructing PLC-programs by LTL-Specification by E. V. Kuzmin, D. A. Ryabukhin, V. A. Sokolov

“…The idea of the proof is demonstrated by an example of a Minsky 3-counter machine, which implements a function of squaring.…”
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Fitting of nonnegative physical models based on statistical divergence: application to thermally stimulated depolarization currents by Yasunobu Ando, Shusuke Kasamatsu, Suguru Iwasaki, Yumi Tanaka

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PlaceField2BVec: A bionic geospatial location encoding method for hierarchical temporal memory model by Zugang Chen, Shaohua Wang, Kai Wu, Guoqing Li, Jing Li, Jian Wang

“…In recent years, some methods (such as Place2Vec, Space2Vec, and Sphere2Vec) were proposed to encode geospatial point as a high-dimensional vector. However, all these geospatial location encoders were designed to generate a real number vector. …”
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Data-Driven Mobility System for Vehicular Communication: A Step Towards Transport Resilience in Intelligent Transport Systems by Maryam Gillani, Hafiz Adnan Niaz, Beatriz Martinez-Pastor

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G-TS-HRNN: Gaussian Takagi–Sugeno Hopfield Recurrent Neural Network by Omar Bahou, Mohammed Roudani, Karim El Moutaouakil

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