Handwritten Words Image Character Extraction Adaptive Algorithm Based on the Multi-branch Structure by GUO Xiaojing, ZHAO Xiaoyuan, ZOU Songlin

“…Second, features extracted from different layers represent varying dimensions in the feature matrix. …”
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Automatic Identification of the Main Ionospheric Trough in Total Electron Content Images by Gregory Starr, Sebastijan Mrak, Yukitoshi Nishimura, Michael Hirsch, Prakash Ishwar, Joshua Semeter

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Detection and identification of non-technical loss based on electricity consumption curve and deep learning by WANG Yunjing, XIAO Keyu, QU Zhengwei, HAN Xiaoming, DONG Haiyan, Popov Maxim Georgievitch

“…Finally, a multi-level neural network architecture is designed and deep learning is utilized to solve the multiclass classification problem of the feature sequences. Simulation based on actual power consumption dataset of a certain area shows that the research content can realize an effective detection of non-technical loss as well as identification of specific tampering strategies.…”
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A marine ship detection method for super-resolution SAR images based on hierarchical multi-scale Mask R-CNN by Jiancong Fan, Miaoxin Guo, Lei Zhang, Jianjun Liu, Jianjun Liu, Yang Li, Yang Li

“…Secondly, a hierarchical multi-scale Mask R-CNN (HMS-MRCNN) detection method is proposed, which significantly improves the multi-scale maritime ship detection problem through the cross-layer fusion of shallow features (small targets) and deep features (large targets). …”
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The Alliance between Mengu-Timur and Abaga: The Problem of Sources Interpretation and Translation of Persian and Turkic Terms in Arabic Texts (on the example of “Collection of Mate... by Ihsan Fazlioğlu

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Digital models of the consult-organization of management in the company by T. Rostovskaya, I. Groshev, Yu. Krasovskii

“…All four digital models are interrelated and help deeply understand the problems of the transition of the company from one state to another. …”
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Spammer group detection based on cascading and clustering of core figures by Qianqian Jiang, Chunrong Zhang, Ning Li, Dickson K. W. Chiu, Xianwen Fang, Shujuan Ji

“…Abstract The problem of collaborative spamming in e-commerce is gradually increasing, and traditional spammer group detection algorithms usually seem cumbersome and time-consuming when dealing with massive user review data. …”
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DEDSWIN-Net: Dual Encoder Dilated Convolution and Swin Transformer Network for the Classification of Liver CT Images by Jyoshna Allenki, Hemant Kumar Soni

“…To resolve this concern, this paper suggests a novel dual encoder deep learning structure named DEDSWIN-Net to mitigate this problem. The proposed framework consists of four components: a dilated convolution-based encoder, a transformer-based encoder, a multi-scale multiple feature fusion decoder (MSMFD), and a DL training model. …”
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A new machine learning approach based on spatial fuzzy data correlation for recognizing sports activities by Xu Pengru, Zhou Junhui, Kausar Nasreen, Lin Chunlei, Lu Qianqian, Ghaderpour Ebrahim, Pamucar Dragan, Zadeh Ardashir M.

“…In both the differentiation and classification instances, the spatiotemporal features of data are extracted and analyzed using support vectors. …”
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MSTCNet: Toward Generalization Improving for Multiframe Infrared Small Target Detection by Ruining Cui, Na Li, Junfu Liu, Huijie Zhao

“…When facing scenarios with complex backgrounds and diverse changes, the generalization performance of the model is insufficient, leading to a decrease in detection accuracy and an increase in false alarms rate. To solve the problems mentioned above, combining the concept of domain generalization (DG) in transfer learning, we propose a multiscale spatio-temporal feature combined network (MSTCNet). …”
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Композиция и стилистические особенности современных храмовых мозаик by Пономарев, А.В.

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DATA PREPARATION METHODS FOR RECOVERING THREE-DIMENSIONAL STRUCTURE OF THE SCENE by Sergey Sergeyevich Taranenko, Oleg Fedorovich Kovalev

“…The problem of data preparation to recover the three-dimensional structure of the scene including points, segments, straight lines, etc., using video obtained from a moving camera around a static scene is considered. …”
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Fault Diagnosis of Switching Power Supplies Using Dynamic Wavelet Packet Transform and Optimized SVM by Jie Xu, Jingjing Zhu, Zhifeng Wang

“…First, an adaptive wavelet packet decomposition mechanism is used to refine the time–frequency feature extraction of the signal to improve the feature differentiation. …”
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Perampanel in the additional therapy of focal and primary generalized tonic-clonic seizures in children 4–12 years old: clinical data, experience of use and practical recommendatio... by K. Yu. Mukhin, E. D. Belousova, S. G. Burd, M. V. Barkhatov, N. A. Ermolenko, S. K. Zyryanov, E. I. Karpovich, E. A. Morozova, G. V. Odintsova

“…During the event, the features of the use of perampanel in this group of patients were discussed, considering the specifics of everyday clinical practice, current possibilities of PGTCS and FS therapy in children, its goals, as well as unsolved problems in the treatment of pediatric patients with PGTCS and FS. …”
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Propaganda as a Category in Forensic Text Analysis by Anatolii N. Baranov, Pavel B. Parshin

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Directions of the industrial enterprise management system digitalization based on the artificial intelligence technologies introduction in the context of achieving its sustainable... by Kiseleva, Oksana N., Rodionov, Alexander S.

“…The development of classification features of artificial intelligence is proposed depending on the functions performed and the corresponding participation in the processes of development and implementation of management decisions, which will contribute to improving the efficiency of the industrial enterprises’ management system and “accelerating” their ESG transformation.…”
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Designing a New Location-Allocation and Routing Model with Simultaneous Pick-Up and Delivery in a Closed-Loop Supply Chain Network under Uncertainty by Mehrnaz Bathaee, Hamed Nozari, Agnieszka Szmelter-Jarosz

“…Moreover, the NSGA II is more efficient than the MOPSO in problem-solving and achieving comparison indicators. …”
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Load recognition method based on convolutional neural network and attention mechanism by ZHAO Yitao, LI Zhao, LIU Xinglong, LUO Zhao, WANG Gang, SHEN Xin

“…Non-intrusive load monitoring (NILM) of residential houses is an important research content of the user demand side of smart grids, and the energy consumption analysis and power consumption management of residential loads are key steps in achieving energy conservation, emission reduction, and sustainable development. Aiming at the problems of poor recognition performance of traditional algorithms and difficulty in adapting to the current complex electricity environment, a NILM load recognition method integrating convolutional neural network (CNN)-self-attention mechanism is proposed from the optimization idea of enhancing the feature extraction performance of classification algorithms. …”
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AdaptiveSwin-CNN: Adaptive Swin-CNN Framework with Self-Attention Fusion for Robust Multi-Class Retinal Disease Diagnosis by Imran Qureshi

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BINARY HONEY BADGER ALGORITHM ENHANCED WITH TIME-VARYING SIGMOID TRANSFER FUNCTION AND CROSSOVER STRATEGY by Emine Baş, Gülnur Yıldızdan

“…The results showed that the proposed BinHBA for binary optimization problems is effective and preferable.…”
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