CULTURE OF PERSONALITY ACTIVITY IN THE CONTEXT OF PUBLIC EDUCATIONAL AND PROFESSIONAL AND PEDAGOGICAL POSSIBILITIES OF CONTINUOUS EDUCATION by O. Kozyreva, R. Ustaev

“…The scientiic substantiation of the importance of using pedagogical modeling in clarifying and solving the problems of modern pedagogy has determined the prospects for identifying and solving the problems ofpersonality development in the context of shaping the culture ofpersonality activity in the system of continuous education.…”
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Typical mistakes in urban landscape drawing by Markitantova Tatiana O.

“…The article reviews problems that students of architecture and restoration face in drawing urban landscapes using as an example the central districts of St. …”
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THE USE OF AN ADAPTIVE APPROACH TO IMPROVE THE MECHANISM OF MANAGEMENT OF THE FUNCTIONING OF ENTERPRISES OF THE CONSTRUCTION COMPLEX by Alexander S. Tarasov

“…The management problems of construction enterprises are constantly changing over time, so there is a need for an adaptive approach. …”
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SDMSEAF-YOLOv8: a framework to significantly improve the detection performance of unmanned aerial vehicle images by Linxuan Li, Xiaoyu Liu, Xuan Chen, Fengjuan Yin, Bin Chen, Yufeng Wang, Fanbin Meng

“…A Space-to-depth layer replaces the traditional strided convolution layer to enhance the extraction of fine-grained information and small-sized target features. A Multi-Separated and Enhancement Attention module enhances the feature learning ability of the occluded target region, thus reducing missed and false detections. …”
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Hyperspectral Image Reconstruction Based on Blur–Kernel–Prior and Spatial–Spectral Attention by Hongyu Xie, Mingyu Yang, Huansong Huang, Mingle Zhang, Wei Zhang, Qingbin Jiao, Liang Xu, Xin Tan

“…Given the problem of spatial detail loss and spectral feature degradation in hyperspectral images (HSIs) characterized as blur, often caused by noise during image acquisition, and methods of removing blur noise designed on HSIs being insufficient, we propose an HSI reconstruction network based on a Blur–Kernel–Prior (BKP) method and Spectral–Spatial Attention (SSA) strategy for noise removal and reconstruction of HSIs. …”
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Connected Vehicles Security: A Lightweight Machine Learning Model to Detect VANET Attacks by Muawia A. Elsadig, Abdelrahman Altigani, Yasir Mohamed, Abdul Hakim Mohamed, Akbar Kannan, Mohamed Bashir, Mousab A. E. Adiel

“…In other words, two layers of enhancements were applied—using a suitable feature selection technique and fixing the dataset imbalance problem. …”
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A Novel Open Circuit Fault Diagnosis for a Modular Multilevel Converter with Modal Time-Frequency Diagram and FFT-CNN-BIGRU Attention by Ziyuan Zhai, Ning Wang, Siran Lu, Bo Zhou, Lei Guo

“…To solve this problem, an intelligent diagnosis method is proposed to integrate the modal time–frequency diagram and FFT-CNN-BiGRU-Attention. …”
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Web service discovery method based on semantic expansion by ZHANG Zheng, ZUO Chun, WANG Yu-guo

“…A Web service discovery method based on semantic expansion was provided.It semantically expanded the conception of service description and service request.The semantic expansion way includes equivalent expansion,feature expansion and compose expansion.It gave the definition of extend semantic subsume during the period of input/output matching.The experiment tells that this algorithm can improve the recall while maintaining a high level precision.If sin-gle service can not match the service request,the way can attempt service composition to match service request.The heu-ristic algorithm based on H*changed the composition problem to searching problem.Because of the adoption of estima-tion function,the efficiency is improved distinctly.…”
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Web service discovery method based on semantic expansion by ZHANG Zheng, ZUO Chun, WANG Yu-guo

“…A Web service discovery method based on semantic expansion was provided.It semantically expanded the conception of service description and service request.The semantic expansion way includes equivalent expansion,feature expansion and compose expansion.It gave the definition of extend semantic subsume during the period of input/output matching.The experiment tells that this algorithm can improve the recall while maintaining a high level precision.If sin-gle service can not match the service request,the way can attempt service composition to match service request.The heu-ristic algorithm based on H*changed the composition problem to searching problem.Because of the adoption of estima-tion function,the efficiency is improved distinctly.…”
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I have to have a mask, a mad mask”. Polemicising with Maria Anna Potocka by Stefan Okołowicz

“…Potocka’s view, the author reflects on the problem of mask and facial expression in the life and work of S.I. …”
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Real-Time Evaluation of Ground Insulation Degradation and Fault Warning Method Under Multiple Operating Conditions for Train Traction Drive System by Zhenglin Cheng, Kan Liu, Xueming Li, Shaolong Xu, Zhiwen Chen, Fengbing Jiang

“…Secondly, based on engineering application experience, a feature index set that can accurately classify different types of grounding faults is extracted. …”
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GS-GVINS: A Tightly-Integrated GNSS-Visual-Inertial Navigation System Augmented by 3D Gaussian Splatting by Zelin Zhou, Shichuang Nie, Saurav Uprety, Hongzhou Yang

“…However, most integrated systems rely on feature-tracking based visual odometry, which suffers from the problem of feature sparsity, high dynamics, significant illumination changes, etc. …”
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Building electrical consumption patterns forecasting based on a novel hybrid deep learning model by Nasser Shahsavari-Pour, Azim Heydari, Farshid Keynia, Afef Fekih, Aylar Shahsavari-Pour

“…This paper addresses the problem of accurate energy forecasting by proposing an intelligent hybrid model that integrates advanced feature selection, signal decomposition, and deep learning techniques. …”
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Enhanced Cross-stage-attention U-Net for esophageal target volume segmentation by Xiao Lou, Juan Zhu, Jian Yang, Youzhe Zhu, Huazhong Shu, Baosheng Li

“…IBN was structed to fuse the extracted features, where a global frequency response layer was built to redistribute the frequency response of the fused feature maps. …”
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Optimizing Chlorophyll-a Concentration Inversion in Coastal Waters Using SVD and Deep Learning Approach by Lili Zhan, Yongxin Xu, Jinshan Zhu, Zhangshuo Liu

“…The purpose of this research is to address the problem of high-precision retrieval of the Chl-a concentration in small coastal waters. …”
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Quantification of the heterogeneity of prognostic cellular biomarkers in ewing sarcoma using automated image and random survival forest analysis. by Claudia Bühnemann, Simon Li, Haiyue Yu, Harriet Branford White, Karl L Schäfer, Antonio Llombart-Bosch, Isidro Machado, Piero Picci, Pancras C W Hogendoorn, Nicholas A Athanasou, J Alison Noble, A Bassim Hassan

“…The distribution of image features for biomarkers in the remaining high quality material (118 cases, 104 features per case) were analysed by RSF with feature selection, and performance assessed using internal cross-validation, rather than a separate validation cohort. …”
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Tomato leaf disease detection method based on improved YOLOv8n by Ming Chen, Chunping Wang, Chengwei Liu, Ying Yu, Yuan Yuan, Jiaxuan Ma, Kaisheng Zhang

“…By dynamically adjusting the weights of convolutional kernels, the model can adapt to the characteristics of different input data, thereby enhancing its ability to represent diverse features. Additionally, we introduce the SimAM attention mechanism, which enhances the model’s focus on key areas by weighting the feature map, significantly improving the accuracy of disease detection while filtering out irrelevant features and enhancing sensitivity. …”
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A novel AI-driven model for student dropout risk analysis with explainable AI insights by Sumaya Mustofa, Yousuf Rayhan Emon, Sajib Bin Mamun, Shabnur Anonna Akhy, Md Taimur Ahad

“…Then, the feature selection method Recursive Feature Elimination (RFE) is used with Cross-Validation (CV) as the RFE-CV method to select the most significant features. …”
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Interturn short circuit fault diagnosis method of direct-drive permanent magnet synchronous motor based on two-stage PNN by GAO Caixia, FENG Lingyun, DANG Jianjun

“…Then， in order to eliminate the influence of fault degree on the characteristic signals and enhance the fault characteristics， the extracted BDC amplitude was normalized by L2 norm to obtain the fault branch location feature vector. The extracted BRC amplitude was normalized by Z-Score to obtain the short-circuit coil positioning feature vector. …”
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Justification of parameters and development of layout solutions for the irrigation network of drip irrigation systems for gardens by Andrey S. Shtanko, Viktor N. Shkura

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