ELIMINATION OF ERRORS IN CODEWORDS ACCORDING TO THE RESULTS OF PARITY CHECKING by A. S. Poljakov, V. E. Samsonov

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Personalized Federated Learning for Heterogeneous Residential Load Forecasting by Xiaodong Qu, Chengcheng Guan, Gang Xie, Zhiyi Tian, Keshav Sood, Chaoli Sun, Lei Cui

“…Based on the principle of generative adversarial network (GAN), the algorithm achieves the balance between privacy and prediction accuracy throughout the game. …”
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Synthesis of the optimum two-channel direction finder with linear scanning of the antenna pattern by M. M. Bulash, S. V. Shaliapin

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A Novel Fault Diagnosis of Induction Motor by Using Various Soft Computation Techniques: BESO-RDFA by Kapu V. Sri Ram Prasad, K. Dhananjay Rao, Guruvulu Naidu Ponnada, Umit Cali, Taha Selim Ustun

“…The established hybrid forecast scheme signifies the combined execution of Bald-Eagle- Search-Optimization (BESO) and Random-Decision-Forest-Algorithm (RDFA), called as BESO-RDFA prediction scheme. …”
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A novel ensemble support vector machine model for land cover classification by Ying Liu, Lihua Huang

“…We then combined finally individual prediction through AdaBoost algorithm to induce the final classification results on this new training set. …”
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Application of Composite Method for Determining Fault Location on Electrical Power Distribution Lines by Chinweike Okoli, Boniface Anyaka, Chidiogo Nwokedi, Victor Anya

“…The simulation result demonstrates good accuracy and robustness of the algorithm.…”
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An artificial intelligence approach for prognosis of COVID-19 course in hospitalized patients by T. L. Karonova, I. N. Korsakov, A. A. Mikhailova, D. I. Lagutina, A. T. Chernikova, М. A. Vashukova, M. A. Smolnikova, D. A. Gusev, A. O. Konradi, E. V. Shlyakhto

“…Aim. To create algorithm and risk calculator for predicting the lethal outcome in patients with COVID-19.Materials and methods. …”
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Proactive Frequency Stability Scheme Based on Bayesian Filters and Spectral Clustering by Gian Paramo, Mario D. Baquedano-Aguilar, Arturo Bretas, Sean Meyn

“…In this work, phasor measurement units are used to predict frequency values. When a disturbance is detected, the state of frequency is predicted a few seconds into the future via a particle filter algorithm. …”
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A multi-model approach for distance and angle estimation using a custom-designed tag by Emre Erkan

“…In the second stage, the data obtained is analyzed through a MLP to predict distances and angular values. The performance of the proposed algorithm has been evaluated through experiments simulating real-world applications, yielding reliable results. …”
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Joint detection-measurement of the range of elements of the group target in the surveillance radar using the valuation and compensation method by S. V. Kozlov, T. Ha. Vu

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Unsplit Youngs Method for Tracking the Moving Interface of Expansible Grout by Xiaolong Li, Tiantian Zhang, Meimei Hao, Bei Zhang, Wenyi Yao, Zhenzhou Shen

“…The numerical method based on the unsplit algorithm was validated by examples of predicting the propagation of expansible grout in a fracture. …”
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Phase Space Similarity as a Signature for Rolling Bearing Fault Diagnosis and Remaining Useful Life Estimation by Fang Liu, Bing He, Yongbin Liu, Siliang Lu, Yilei Zhao, Jiwen Zhao

“…Based on the PSS, a fault pattern recognition algorithm, a bearing fault size prediction algorithm, and a RUL estimation algorithm are introduced to analyze the experimental signal. …”
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Harnessing self-efficacy: Mediating the connection between TPACK and AI intentions among teachers by Christina Ismaniati, Nurul Inayah Khairaty, Nuraini Yusuf, Agus Supramono

“…Constructs were described by descriptive statistics, and the hypothesized model was tested through mediation analysis of SmartPLS 4.0's bootstrapping algorithm. Findings showed that the constructs of the study have good validity and reliability, the created model was fit, while educators possess high TPACK and self-efficacy levels and a moderate intention to adopt AI. …”
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COMPARISON OF COLOR IN AUTHENTICATION OF IDENTITY DOCUMENTS TASKS by E. I. Stepankova, N. A. Volorova

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Dynamic Range Compression of Infrared Images Based on Histogram Equalization with Edge Inversion by S. I. Rudikov, V. Yu. Tsviatkou, A. P. Shkadarevich

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Soft sensor modeling method for Pichia pastoris fermentation process based on substructure domain transfer learning by Bo Wang, Jun Wei, Le Zhang, Hui Jiang, Cheng Jin, Shaowen Huang

“…Finally, based on the source and target domain data after substructure domain adaptation, the least squares support vector machine algorithm is used to establish the prediction model. …”
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Performance of quantum approximate optimization with quantum error detection by Zichang He, David Amaro, Ruslan Shaydulin, Marco Pistoia

“…Abstract The quantum approximate optimization algorithm (QAOA) is a promising candidate for scaling up to tackle real-world applications. …”
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Ground Based Cloud Recognition with an Anchor Free Method by LI Yichao, GUO Rui, ZHANG Shaodi, SHOU Zefeng, CHEN Jing, LIU Yifei

“…In order to solve the problems of cloud type recognition of the ground-based cloud such as complex target candidate box selection and slow detection speed, a recognition method of cloud types in ground-based cloud map based on anchor free is proposed.First, the paper takes Center Net as the basic architecture of cloud type recognition.Based on thermodynamic diagrams prediction, key point prediction, center point prediction and candidate box prediction, a anchor free ground-based cloud type detection process is constructed.And then, the main network, loss function and candidate box prediction method of cloud type recognition model are designed.Finally, take CenterNet Resdcn101 as the model, compared the algorithm recognition accuracy, candidate boxes predict confidence and identify speed with mainstream target recognition methods and cloud type recognition method The results showed that the cloud type recognition method of the paper has higher recognition accuracy and faster recognition speed.…”
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Methodology of risks assessment of information security evaluation in e-economy systems by L. M. Lynkov, T. N. Beliatskaya, V. S. Knyazkova

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Two-Level Distributed Multi-Source Information Fusion Model for Aphid Monitoring and Forecasting in the Greenhouse by Xiaoyin Li, Lixing Wang, Min Dai, Yongji Zhang, Wei Su, Mingyou Wang, Hong Miao

“…This study integrates multiple environmental factors to efficiently predict the number of aphids and the aphid strain rate in the greenhouse. …”
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