Topology-Aware Multi-View Street Scene Image Matching for Cross-Daylight Conditions Integrating Geometric Constraints and Semantic Consistency by Haiqing He, Wenbo Xiong, Fuyang Zhou, Zile He, Tao Zhang, Zhiyuan Sheng

“…To address extreme perspective variations, a homography-aware transformation module is introduced to stabilize feature representation under large viewpoint changes. Leveraging a graph neural network with hierarchical attention mechanisms, our method dynamically aggregates contextual information from both local keypoints and semantic topology graphs, enabling precise matching in occluded regions and repetitive-textured urban scenes. …”
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SWARM ALGORITHM OF SYNTHESIS TUTORIALS BASED ON ONTOLOGICAL APPROACH by Boris K. Lebedev, Oleg B. Lebedev

“…We consider a formal method to create individual learning paths on the model of educational space in the ontological bases of educational resources presented in the form of AND / OR graph model. …”
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COMPARISON OF DATASET OVERSAMPLING ALGORITHMS AND THEIR APPLICABILITY TO THE CATEGORIZATION PROBLEM by Denys Teslenko, Anna Sorokina, Artem Khovrat, Nural Huliiev, Valentyna Kyriy

“…The selected algorithms were compared using different classification algorithms. The results were presented using graphs and tables, as well as demonstrated in general using heat maps. …”
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Big Data Analytics in IoT, social media, NLP, and information security: trends, challenges, and applications by Kamal Taha

“…Abstract This paper presents a comprehensive, domain-specific survey and experimental evaluation of machine learning techniques for Big Data Analytics across four critical domains: IoT, Social Media, Natural Language Processing (NLP), and Information Security. …”
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Hybrid vision GNNs based early detection and protection against pest diseases in coffee plants by Suresh Maruthai, Raveena Selvanarayanan, Tamilvizhi Thanarajan, Surendran Rajendran

“…This paper presents a novel strategy for the early detection of coffee crop killers using Hybrid Vision Graph Neural Networks (HV-GNN) in coffee plantations. …”
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Echoes From the Void: Detecting DNS Tunneling With Blackhole Features in Encrypted Scenarios With High Accuracy by Wafa S. Alorainy

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Choosing a video conferencing service and its adaptation for educational institution by A. N. Markov, R. O. Ihnatovich, A. I. Paramonov

“…Load testing of the video conferencing service was carried out by the method of volume and stability testing.Results. The load graphs for hardware components of the virtual server in the long term period are presented. …”
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Pathway metrics accurately stratify T cells to their cells states by Dani Livne, Sol Efroni

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PictureGuard: Enhancing Software-Defined Networking–Internet of Things Security with Novel Image-Based Authentication and Artificial Intelligence-Powered Two-Stage Intrusion Detect... by Hazem (Moh’d Said) Hatamleh, As’ad Mahmoud As’ad Alnaser, Said S. Saloum, Ahmed Sharadqeh, Jawdat S. Alkasassbeh

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Design and application research of traditional Chinese medicine teaching resource recommendation system based on multivariate data mining driven algorithm by Wei Zhang, Yaqing Liu, Qiang Zhang, Xiaomin Chen

“…With the wide spread of traditional Chinese medicine culture around the world and the rapid development of modern information technology, the demand for traditional Chinese medicine teaching resources is increasing, and how to achieve personalized and accurate teaching resource recommendation has become the focus of much research. At present, there are many problems that need to be solved urgently: first, resources are scattered and distributed on various platforms, due to the lack of a unified integration platform, teachers and students need to frequently switch to multiple channels when searching for resources, and the average time spent on each resource search is about 30 min; Second, the quality of resources is uneven, there are different levels of content accuracy, and some resources even contain incorrect or outdated information, which seriously affects the learning effect. …”
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SineKAN: Kolmogorov-Arnold Networks using sinusoidal activation functions by Eric Reinhardt, Dinesh Ramakrishnan, Sergei Gleyzer

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One of the approaches to the organization of the modern educational process by A. G. Savenko, Yu. A. Skudnyakov

“…The program-algorithmic implementation of the rotational-hybrid model in the form of a universal teaching-testing electronic learning tool is shown. The mathematical basis of the rotational-hybrid model is set theory using graph models, which compare favorably with other mathematical apparatus in visibility and a matrix form of representation that can be easily processed on a computer. …”
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Intelligent Interior Design Systems: Optimizing Layouts and Aesthetics Using AI and User Data by Zhe Ji, Yan Yu

“…This paper introduces an advanced intelligent interior design system that synergizes deep learning, mathematical optimization, and user data integration to automate and personalize layout generation. …”
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Advancements in AI-Powered Electric Vehicle Routing: Multi-Constraint Optimization and Infrastructure Integration Approaches for Evolving EVs—A Survey by P. Anandha Prakash, R. Radha

“…The study evaluates modern AI techniques including Graph Neural Networks, Transformers, Multi-Agent Reinforcement Learning, Deep Reinforcement Learning, and Neuro-Fuzzy systems, demonstrating their superior performance over conventional methods. …”
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Pedagogical discourse on educational management in wartime: The Ukrainian case by Stanisława Nazaruk, Olena Budnyk, Tamara Tkachuk, Kateryna Fomin, Barbara Sokołowska, Marzena Ruszkowska

“… Research objectives (aims) and problem(s):The aim of this article is to present the theoretical foundations of educational management during wartime and to share the results of research on various aspects of school leadership in Ukraine. …”
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UAV Hyperspectral Remote Sensing Image Classification: A Systematic Review by Zhen Zhang, Lehao Huang, Qingwang Wang, Linhuan Jiang, Yemao Qi, Shunyuan Wang, Tao Shen, Bo-Hui Tang, Yanfeng Gu

“…This article provides an in-depth and systematic review of UAV HSI classification techniques, systematically examining the evolution from traditional machine learning approaches, such as sparse coding, compressed sensing, and kernel methods, to cutting-edge deep learning frameworks, including convolutional neural networks, Transformer models, recurrent neural networks, graph convolutional networks, generative adversarial networks, and hybrid models. …”
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A Comprehensive Survey on LLM-Powered Recommender Systems: From Discriminative, Generative to Multi-Modal Paradigms by Dina Nawara, Rasha Kashef

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CrysMTM: a multiphase, temperature-resolved, multimodal dataset for crystalline materials by Can Polat, Erchin Serpedin, Mustafa Kurban, Hasan Kurban

“…We present CrysMTM, a large-scale, multimodal dataset designed to benchmark temperature- and phase-sensitive machine learning models for crystalline materials. …”
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THE RECONSTRUCTION OF FUNCTIONS USING DIDACTIC TRANSPOSITION: A FOCUS ON THE TEXTBOOKS FOLLOWING THE MALAYSIAN AND INDONESIAN MATHEMATICS CURRICULA by Nadya Syifa Utami, Sufyani Prabawanto, Phoong Seuk Yen, Arrold Rynix Anak Rambee

“…The data used was the sequence of tasks presented in the chapter on functions in each country’s mathematics textbooks. …”
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THE RECONSTRUCTION OF FUNCTIONS USING DIDACTIC TRANSPOSITION: A FOCUS ON THE TEXTBOOKS FOLLOWING THE MALAYSIAN AND INDONESIAN MATHEMATICS CURRICULA by Nadya Syifa Utami, Sufyani Prabawanto, Phoong Seuk Yen, Arrold Rynix Anak Rambee

“…The data used was the sequence of tasks presented in the chapter on functions in each country’s mathematics textbooks. …”
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