Online Course of the Lecturer PersonalizedTraining for Network Educational Activity by E. G. Doroshenko, L. M. Ivkina, L. B. Khegay, T. A. Yakovleva

“…Such a restructuring of educational content makes it possible to change the learning strategy: from the paradigm of “accumulating knowledge for solving problems” to the paradigm of “solving problems by mastering the necessary knowledge”.As a result of the analysis of the types of activities and possible deficits of all participants in the educational cluster in the design and conducting mega-lessons, a model of a personalized online course for preparing lecturers for the network educational activities was proposed. On its basis, the online course “Technology for developing and conducting a Mega-lesson” was developed, consisting of modules that answer the questions: what is a Mega-lesson, how to design an effectively-target model, how to form soft-skills, how to select content, how to design an organizational and activity model of the lesson, how to select the content of the lesson, how to organize the interaction of participants, develop or search for digital resources and services, etc. …”
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Leveraging advances in machine learning for the robust classification and interpretation of networks by Raima Carol Appaw, Nicholas M. Fountain-Jones, Michael A. Charleston

“…The ability to simulate realistic networks based on empirical data is an important task across scientific disciplines, from epidemiology to computer science. …”
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Improving Open Innovation: The Power of Social Media Knowledge Networks by Constantin BRATIANU, Andreea Bianca CAMARA

“…In a digital ecosystem characterized by massive data exchange and constant interactions, social networks have become essential tools for capturing and sharing knowledge. …”
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Power Indices in the Context of Social Learning Behaviour in Social Networks by Ruili Shi, Chunxiang Guo, Xin Gu

“…This paper puts forward the concept of integrated power, synthetically measures the voters’ ability to influence the results of decision-making by influencing others through social learning, considering the interactions between decision-makers in social networks, and offers a method for measuring integrated power. …”
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Enabling Cyber Physical Systems with Wireless Sensor Networking Technologies by Chih-Yu Lin, Sherali Zeadally, Tzung-Shi Chen, Chih-Yung Chang

“…CPSs are expected to have a tremendous impact on many critical sectors (such as energy, manufacturing, healthcare, transportation, and aerospace) of the economy. CPSs have the ability to transform the way human-to-human, human-to-object, and object-to-object interactions take place in the physical and virtual worlds. …”
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A Lightweight Residual Network for Unsupervised Deformable Image Registration by Ahsan Raza Siyal, Astrid Ellen Grams, Markus Haltmeier

“…While existing CNN-based image registration methods provide rich local information, their limited global modeling capabilities hinder their ability to capture long-distance interactions, which restricts their overall performance. …”
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Node Classification Method Based on Hierarchical Hypergraph Neural Network by Feng Xu, Wanyue Xiong, Zizhu Fan, Licheng Sun

“…Hypergraph neural networks have gained widespread attention due to their effectiveness in handling graph-structured data with complex relationships and multi-dimensional interactions. …”
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Spatiotemporal Multivariate Weather Prediction Network Based on CNN-Transformer by Ruowu Wu, Yandan Liang, Lianlei Lin, Zongwei Zhang

“…Therefore, we designed a spatiotemporal coupled prediction network based on convolution and Transformer for weather prediction from the perspective of multivariate spatiotemporal fields. …”
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Synchronization in Fractional-Order Delayed Non-Autonomous Neural Networks by Dingping Wu, Changyou Wang, Tao Jiang

“…In this paper, we focus on the synchronization of a class of fractional-order, delayed, and non-autonomous neural networks. Fractional-order dynamics, characterized by their ability to capture memory effects and non-local interactions, introduce additional layers of complexity to the synchronization problem. …”
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HorGait: Advancing Gait Recognition With Efficient High-Order Spatial Interactions in LiDAR Point Clouds by Jiaxing Hao, Yanxi Wang, Zhigang Chang, Hongmin Gao, Zihao Cheng, Chen Wu, Xin Zhao, Peiye Fang, Rachmat Muwardi

“…For complex 3D representations, shallow networks fail to achieve accurate recognition, making vision Transformers the foremost prevalent method. …”
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Permafrost–wildfire interactions: active layer thickness estimates for paired burned and unburned sites in northern high latitudes by A. C. Talucci, M. M. Loranty, J. E. Holloway, B. M. Rogers, H. D. Alexander, N. Baillargeon, J. L. Baltzer, L. T. Berner, A. Breen, L. Brodt, B. Buma, B. Buma, J. Dean, C. J. F. Delcourt, L. R. Diaz, C. M. Dieleman, T. A. Douglas, G. V. Frost, B. V. Gaglioti, R. E. Hewitt, T. Hollingsworth, T. Hollingsworth, M. T. Jorgenson, M. J. Lara, R. A. Loehman, M. C. Mack, K. L. Manies, C. Minions, S. M. Natali, J. A. O'Donnell, D. Olefeldt, A. K. Paulson, A. V. Rocha, L. B. Saperstein, T. A. Shestakova, T. A. Shestakova, T. A. Shestakova, S. Sistla, O. Sizov, A. Soromotin, M. R. Turetsky, S. Veraverbeke, M. A. Walvoord

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Interaction effects in microbiota-filter media-pharmaceutical in biofilm-based reactors: a case study of anoxic biofilters by Rui Ma, Han Zhao, Ying Zhao, Lili Jin, Hui Huang, Hongqiang Ren

“…Introduction of pharmaceuticals increased the complexity of microbial co-occurrence networks, with autotrophic biofilters showing a higher proportion of positive correlations. …”
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EPI-DynFusion: enhancer-promoter interaction prediction model based on sequence features and dynamic fusion mechanisms by Ao Zhang, Jianhua Jia, Mingwei Sun, Xin Wei

“…IntroductionEnhancer–promoter interactions (EPIs) play a vital role in the regulation of gene expression. …”
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The dynamics of living and thinking systems, biological networks, and the laws of physics by V. Gontar

“…Discrete chaotic dynamics (DCD) of living and thinking systems are presented in a form of networks of interacting agents with the abilities of energy and information exchange. …”
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Neural network analysis of the visual system functional transformation in normal aging by O.I. Rozanova, I.M. Mikhalevich

“…A comprehensive assessment of the anatomical and optical eye parameters, indicators of monocular sensory reception and binocular interaction was carried out. 90 individual indicators of the visual system were used for neural network analysis with pattern recognition in a genetic algorithm with reduced dimensionality and step-by-step discriminant analysis. …”
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Problem Solver Model of Intelligent Framework for the Development of Artificial Neural Networks by M. V. Kovalev

“…The article describes an approach to implementing the ability of intelligent systems to self-learn through an intelligent framework for the development of artificial neural networks. …”
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Pedestrian Trajectory Prediction Based on Dual Social Graph Attention Network by Xinhai Li, Yong Liang, Zhenhao Yang, Jie Li

“…Subsequently, leveraging the STWGAT’s processing of directed weighted graphs, the network’s ability to aggregate spatiotemporal information and refine individual interaction representations is further strengthened. …”
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A spatiotemporal graph wavelet neural network for traffic flow prediction by Linjie Zhang, Jianfeng Ma

“…To stack these challenges, in this paper, we present a spatiotemporal graph wavelet neural network to improve the ability of representations. …”
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Collective decision-making with heterogeneous biases: Role of network topology and susceptibility by Yunus Sevinchan, Petro Sarkanych, Abi Tenenbaum, Yurij Holovatch, Pawel Romanczuk

“…The ability of groups to make accurate collective decisions depends on a complex interplay of various factors, such as prior information, biases, social influence, and the structure of the interaction network. …”
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Detection of human activities using multi-layer convolutional neural network by Essam Abdellatef, Rasha M. Al-Makhlasawy, Wafaa A. Shalaby

“…The proposed model’s performance is compared to traditional pre-trained Convolutional Neural Networks (CNNs) and other state-of-the-art techniques. …”
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