Adaptability analysis and performance improvement method of ac protection in inverter-interfaced system with series compensation device by Peng Chang, Guobing Song, Fuzhi Xiong, Junjie Hou

“…On this context, to solve the problem, the authors deeply analyze the adaptability of AC protection in the compensated inverter-interfaced system first. …”
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Lightweight CNN-Based Visual Perception Method for Assessing Local Environment Complexity of Unmanned Surface Vehicle by Tulin Li, Xiufeng Zhang, Yingbo Huang, Chunxi Yang

“…This method employs a multi-feature input CNN with residual learning blocks, which takes both the current local environmental images and heading angle features as inputs to identify the complexity of the local environment with higher accuracy and a smaller load size. …”
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Central Pixel-Based Dual-Branch Network for Hyperspectral Image Classification by Dandan Ma, Shijie Xu, Zhiyu Jiang, Yuan Yuan

“…Additionally, the spatial branch based on ViT incorporates a novel frequency-aware HiLo attention, which can effectively separate high and low frequencies, alleviating the problem of local spectral variability and enhancing the ability to extract global features. …”
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Development of a multidimensional data model for efficient content-based image retrieval in big data storage by Stanislav Danylenko, Serhii Smelyakov

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Understanding the ancient classic and famous prescriptions via the property of Chinese materia medica by Dan Qin, Dan Qin, He Zhang, Bin Du, Hui Wang, Ligang Liu, Yun Wang

“…We formulated the backward process as a constrained combinatorial optimization problem to rebuild ACFPs from their PCCMMs. We evaluated the performance of PCCMM in reconstructing ACFPs using the Jaccard similarity coefficient. …”
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Method of automated construction of pattern recognition algorithms on phase paths by Dmitry Kovalenko

“…A specific feature of the problem consists in the fact that, depending on the individual properties of the system and conditions of its operation, trajectories that contain anomalies may significantly differ from each other in amplitude and length. …”
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Simple abnormality diagnosis of layered structures using an additional vibratory system by Daiki TAJIRI, Shozo KAWAMURA, Kaito ARAKI

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State Viewed by Economists by V. L. Makarov, A. N. Kozyrev, V. E. Dementiev, E. V. Ustyuzhanina

“…Special attention is paid to the following questions: characteristic features of state as a specific social and economic institution; immanent contradictions of the institution; lines in state development in conditions of world economic ties globalization; digitalization of the communication system and ecological interdependence. …”
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Predicting the number of call center incoming calls using deep learning by Armaghan Nikfar, Javad Mohammadzadeh

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Extracting road maps from high-resolution satellite imagery using refined DSE-LinkNet by Prativa Das, Satish Chand

“…We introduce a new module, Fusion block, in our architecture that enhances its precise localisation as well as classification ability by capturing multilevel as well as multiscale features. To address the imbalanced class distribution problem, a new aggregate loss function is proposed by integrating binary cross-entropy, Jaccard coefficient, and Lovasz sigmoid loss functions. …”
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SECURITY LAW: INDUSTRY, SCIENCE AND ACADEMIC COURSE by S. Sharonov, V. Shestakov

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BT-YOLO11: Automatic Driving Road Target Detection in Complex Scenarios by Qi Wang, Qi Long Wang

“…In the feature extraction stage, Bi-level Routing Attention is introduced to enhance the model’s ability to capture feature information. …”
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Review of Synthetic Aperture Radar Automatic Target Recognition: A Dual Perspective on Classical and Deep Learning Techniques by Jakub Slesinski, Damian Wierzbicki

“…Feature-based approaches in traditional SAR ATR followed from conventional feature-driven strategies, while modern data-driven end-to-end recognition methods, consisting primarily of convolutional neural network based and hybrid networks, have been applied. …”
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Enhancing agricultural research with an Attention-Based Hybrid Model for precise classification of rice varieties by Nuzhat Noor Islam Prova

“…This new combined approach does better than Random Forest and Support Vector Classifier because it solves problems that are normally associated with it such as finegrained features and scaling. …”
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Lightweight rice leaf spot segmentation model based on improved DeepLabv3+ by Jianian Li, Long Gao, Xiaocheng Wang, Jiaoli Fang, Zeyang Su, Yuecong Li, Shaomin Chen

“…Second, based on Haar wavelet downsampling, a multi-scale detail enhancement (MSDE) module was proposed to improve decision-making ability of the model in transitional regions such as spot gaps, and to improve the sticking and blurring problems at the boundary of spot segmentation. Meanwhile, the PagFm-Ghostconv Feature Fusion (PGFF) module was proposed to significantly reduce the computational overhead of the model. …”
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ASAD: A Meta Learning-Based Auto-Selective Approach and Tool for Anomaly Detection by Nadia Rashid, Rashid Mehmood, Fahad Alqurashi, Saad Alqahtany, Juan M. Corchado

“…To address this, we propose an innovative auto-selective approach and software tool based on meta-learning, called ASAD (Auto-Selective Anomaly Detection), to dynamically select the most appropriate model based on the unique features of a given dataset or problem domain. ASAD trains an ML model to predict the best candidate from a large pool of models by considering the specific characteristics and requirements of the dataset. …”
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Managing Supply on Market of ‘Last Mile’ Delivery in Sphere of Fast-Moving Consumer Goods by D. A. Porokhovnik, I. G. Kamenev

“…In this article the authors study the problem of supply management of company in the sphere of fast-moving consumer goods in the Internet at the final stage of delivery (‘Last mile’). …”
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Analytical and numerical computations for bioconvective flow Maxwell nanofluid with variable thermal properties using homotopy analysis method and finite difference scheme by Jawaher Alzahrani

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Removing potential difficulties among students in foreign language classes by Maria Valerievna Volnakova

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Learning Curvelet-based Directional Dictionaries for Single Image Super Resolution by Elhameh Mikaeli, Ali Aghagolzadeh, Mehdi Nooshyar

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