Current Tasks in Identifying Invalid Events in Critical Information Infrastructure by D. A. Evdokimova, A. A. Mikryukov

“…Problems related to large data volumes, the complexity of event processing, the considerable time required for their detection, and technological limitations were considered. …”
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A Biomimetic Pose Estimation and Target Perception Strategy for Transmission Line Maintenance UAVs by Haoze Zhuo, Zhong Yang, Chi Zhang, Nuo Xu, Bayang Xue, Zekun Zhu, Yucheng Xie

“…In this context, the widespread promotion and application of smart robots in the power industry can help address the increasingly complex challenges faced by the industry and ensure the efficient, economical, and safe operation of the power grid system. …”
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PSYCHOLOGICAL AND PEDAGOGICAL BASES OF FORMATION OF THE FUTURE SPECIALISTS’ INDIVIDUAL STYLE OF PROFESSIONAL ACTIVITIES by Lavrentieva Olena, Krupskyi Oleksandr

“…It has been established that the individual style of professional activity is a complex personal creation including a stable system of work methods and techniques, and determining a certain behaviour strategy in their labour activity. …”
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Cognitive assessment across normal aging and subjective cognitive decline using PGIMS and Stroop color-word test: A cross-sectional study by Akshata Rao, Abhijith R Rao, Bhawana Painkra, Sakthi Kiruthika, Sunil Kumar, Meenal Thakral, Swati Bajpai, Shodhan Aithal, Aparajit Ballav Dey, Prasun Chatterjee

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Perceptions and Attitudes Toward Utilizing a Non‐Invasive Biomarker for Colorectal Cancer Screening: A Qualitative Study by Choi Ying Chu, Junjie Huang, Jamie Jie Mei Liew, Apurva Sawhney, Xianjing Liu, Chaoying Zhong, Jianli Lin, Junjie Hang, Claire Chenwen Zhong, Jinqiu Yuan, Martin C. S. Wong

“…ABSTRACT Background Colorectal cancer (CRC) screening, effective for early detection of CRC, was recently implemented by the Hong Kong government using the quantitative Fecal Immunochemical Test (FIT). …”
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Endoscopic treatment of Kaposi’s sarcoma in a heart transplant patient by M. T. Bekov, I. V. Pashkov, N. P. Mozheiko, N. N. Koloskova, K. S. Smirnov, Ya. S. Yakunin, M. V. Olkhovskaya, O. M. Tsirulnikova, S. V. Gautier

“…Because KS is so common in this patient cohort, methods for early detection, efficient treatment, and prevention of the neoplastic process must be developed. …”
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Analisis Perbandingan Model Bert Dan Xlnet Untuk Klasifikasi Tweet Bully Pada Twitter by Teuku Radillah, Okta Veza, Sarjon Defit

“…These findings can help platforms like Twitter identify and prevent bullying content, thereby creating a safer online environment for users, and can be used as a basis for the development of more sophisticated and efficient bullying detection systems in the future. …”
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Indoor Air Pollution Source Localization Based on Small-Sample Training Convolutional Neural Networks by Tiancheng Ye, Mengtao Han

“…The research findings provide an efficient and reliable deep learning solution for the localization of pollution sources in complex spaces.…”
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Exploring the drivers of irregular spending in the EU cohesion policy by Francesco Foglia, Francesco Molica, Anabela M. Santos

“…Overall, the analysis finds that the more complex the programmes (e.g., in terms of number of priorities, multi-fund focus), the higher the risk of irregularities and the more difficult is for programme authorities to detect them. …”
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Revolutionizing Financial management: Unleashing the power of AI for Sustainable Growth by Bhokare Arati S., Patil Snehal D., Kulkarni Praveen. M.

“…By cultivating more sustainable, effective, and efficient corporate practices, artificial intelligence (AI) reinvents financial management. …”
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Agricultural plant jiaosu: valorization of organic wastes for sustainable agriculture by Yumeng Wang, Jianxun Li, Xin Li, Shankai Wu, Wenjun Song, Ping Li

“…It also discusses the impacts of APJ on agro-ecological systems and reviews current research, focusing on aspects such as raw material selection, microbial fermentation, the fermentation process, and detection technologies. However, further investigation and study are necessary due to the complex composition of APJ.…”
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Streaming potential modeling in fractured rock: Insights into the identification of hydraulically active fractures by D. Roubinet, N. Linde, D. Jougnot, J. Irving

“…Our approach is specifically designed for complex fracture networks that cannot be investigated using standard numerical methods. …”
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Deep Learning in Finance: A Survey of Applications and Techniques by Ebikella Mienye, Nobert Jere, George Obaido, Ibomoiye Domor Mienye, Kehinde Aruleba

“…Machine learning (ML) has transformed the financial industry by enabling advanced applications such as credit scoring, fraud detection, and market forecasting. At the core of this transformation is deep learning (DL), a subset of ML that is robust in processing and analyzing complex and large datasets. …”
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Bridge Crack Segmentation Algorithm Based on Improved U-Net by Yanhao Fang, Jie LYu, Yonghua Xia, Yingke Wang

“…This paper introduces an enhanced U-Net network designed to extract fine crack features against complex backgrounds and balance crack pixel categories for bridge crack segmentation. …”
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SECURE VERTEX-EDGE DOMINATION IN HYPERCUBE AND GRID GRAPHS: APPLICATIONS OF CYBERSECURITY IN BANKING FOR SECURE TRANSACTIONS by C. Ruby Sharmila, S. Meenakshi

“…Moreover, develop a Hidden Markov Model (HMM) framework to enhance the detection of anomalous activities within these graph structures. …”
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SLGMA-UNet: Comprehensive Feature Aggregation With Context-Sensitive Attention for Medical Image Segmentation by Xinghuo Ye, Na Wang

“…Experiments conducted on five medical datasets, including ISIC2017, ISIC2018, CVC-ClinicDB, Kvasir-SEG, and GLAS, demonstrate that SLGMA-UNet outperforms existing models, achieving accuracy improvements of 4.2-7.8% (mean Intersection over Union, mIoU) and 3.6-6.4% (Dice Similarity Coefficient, DSC), along with enhanced edge detection and reduced errors in complex cases. Ablation studies confirm the positive and synergistic effects of the additional components. …”
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In-operando control of sum-frequency generation in tip-enhanced nanocavities by Philippe Roelli, Isabel Pascual Robledo, Iris Niehues, Javier Aizpurua, Rainer Hillenbrand

“…The tip acts as an efficient broadband antenna, focusing incident CW infrared illumination onto the nanocavity. …”
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Building rooftop extraction from high resolution aerial images using multiscale global perceptron with spatial context refinement by Qinglie Yuan

“…However, buildings often exhibit scale variation, spectral heterogeneity, and similarity with complex geometric shapes. Hence, the building rooftop extraction results exist fragmentation and lack spatial details using these methods. …”
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Investigation on potential bias factors in histopathology datasets by Farnaz Kheiri, Shahryar Rahnamayan, Masoud Makrehchi, Azam Asilian Bidgoli

“…The analysis was conducted on two cutting-edge DNN models: KimiaNet, a state-of-the-art DNN trained on TCGA images, and the self-trained EfficientNet. In this research study, the balanced accuracy metric is used to evaluate the performance of a model trained to classify data centers, which was originally designed to learn cancerous patterns, with the aim of investigating the potential factors contributing to the higher balanced accuracy in data center detection.…”
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A Semiactive and Adaptive Hybrid Control System for a Tracked Vehicle Hydropneumatic Suspension Based on Disturbance Identification by Shousong Han, Zhiqiang Chao, Xiangbo Liu

“…The riding conditions for a high-speed tracked vehicle are quite complex. To enhance the adaptability of suspension systems to different riding conditions, a semiactive and self-adaptive hybrid control strategy based on disturbance velocity and frequency identification was proposed. …”
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