Machine Learning in the National Economy by Azamjon A. Usmonov

“…Methods of cleaning, normalization, and data transformation were used for data processing to improve model accuracy. …”
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Intelligent recognition algorithm for hull segment closure surface components based on improved PointNet++ by Rui LI, Yirong ZHAO, Shilin HUO, Ji WANG, Weidong SHI

“…Since the existing PointNet++ network is unable to process large-capacity point cloud data, an algorithm based on improved PointNet++ is proposed to realize the intelligent recognition of components for large-capacity hull segment convergence surface point cloud data. …”
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An Intelligent Weed Recognition Method Based on Optical Patrol Image by Guoliang YUE, Yanqiao LU, Hao CHANG, Cuiying SUN

“…By amplifying and preprocessing the sample data of the optical patrol images, and introducing the region proposal network, the image features of the fixed number of candidate frames are extracted from the images. …”
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Dynamics of Epidemiological Manifestations of HIV Infection in the Gender Aspect (on the Example of the Republic of Tatarstan) by G. R. Khasanova, S. T. Agliullina, L. M. Mukharyamov, F. I. Nagimova, G. N. Khasanova, Kh. S. Khaertynov

“…We analyzed the role of main transmission routes in different age groups over the entire period of the epidemic (1987–2018). The data is processed in Microsoft Office Excel 2010. …”
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The Effectiveness of the UNAIDS Strategy«90-90-90»in Populations with Different Population Growth by D. A. Neshumaev, E. N. Sukharev, V. L. Stasenko

“…The following parameters were used to describe the epidemic process: population size, birth rate, mortality, HIV prevalence, lethality among patients with HIV/AIDS and probability of HIV transmission. …”
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A General Framework for CFAR Detection in PolSAR Imagery Based on Quadratic Statistics by Ziyuan Yang, Liguo Liu, Xiaoyang Hou, Yinghui Quan, Xian Zhang, Tao Liu

“…In the field of target detection in polarimetric synthetic aperture Radar (PolSAR) imagery, the constant false alarm rate (CFAR) algorithm is renowned for its operability and high interpretability. …”
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Study on the Damage Characteristics of Wheat Kernels under Continuous Compression Conditions by Xiaopeng Liu, Ziang Shi, Yonglin Zhang, Hui Li, Jin Zhou, Hongjun Yang

“…Peeling wheat yields higher-quality flour. During processing in a flaking machine, wheat kernels undergo continuous compression within the machine’s chamber. …”
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Applying Acoustic Signals to Monitor Hybrid Electrical Discharge-Turning with Artificial Neural Networks by Mehdi Soleymani, Mohammadjafar Hadad

“…The sounds generated during EDT were recorded and used as training data. The sounds underwent preprocessing to examine the effects of the parameters used for feature extraction prior to feeding the data into the ANN model. …”
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Malignant neoplasms of the vulva: epidemiology and survival of patients in Russia (clinical-population study) by V. M. Merabishvili, I. V. Berlev, A. F. Urmancheeva, E. V. Bakhidze, E. A. Ulrikh

“…Herzen National Medical Research Center of Oncology and National Medical Research Oncology Center, databases of population cancer registries of Saint Petersburg and the NWFRR. Data processing was carried out using licensed programs MS Excel 2013–2016 and Statistica 6.1. …”
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Translation, cross-cultural adaptation, and validation of the Chinese version of the 4 domain sports prom by Yang Sun, Shiyi Chen, Philippe Neyret, Mark Hutchinson, Filippo Migliorini, Nicola Maffulli, Carlos Górios, Sérgio Rocha Piedade

“…All patients filled in the 4-DSP questionnaire without direct supervision of their trainer/coach or researcher. All data were collected and processed anonymously. Results 97% of the experts (n = 10) considered the translation accuracy understandable; each item and overall content validity showed 96% agreement, and the bilingual translation accuracy was rated as 98.5%, presenting a global Cronbach's alpha of 0.72. …”
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An exploration of modeling approaches for capturing seasonal transmission in stochastic epidemic models by Mahmudul Bari Hridoy

“…Seasonal variations in the incidence of infectious diseases are a well-established phenomenon, driven by factors such as climate changes, social behaviors, and ecological interactions that influence host susceptibility and transmission rates. While seasonality plays a significant role in shaping epidemiological dynamics, it is often overlooked in both empirical and theoretical studies. …”
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Artificial intelligence vs. human coaches: examining the development of working alliance in a single session by Amber S. Barger

“…The mixed methods randomized controlled trial explored if and how client ratings of working alliance and the coaching process aligned between the two coach types in an alternative treatments design. …”
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Multisensor Remote Sensing and AI-Driven Analysis for Coastal and Urban Resilience Classification by Sumei Ren, Bushra Ghaffar, Muhammad Mubbin, Muhammad Haseeb, Zainab Tahir, Sher Shah Hassan, Dmitry E. Kucher, Olga D. Kucher, M. Abdullah-Al-Wadud

“…The methodology includes a multistep deep learning pipeline, incorporating data preprocessing, feature extraction, class balancing with SMOTE, and LSTM-based classification. …”
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LncRNA FAM66C predicts poor prognosis in patients with lung adenocarcinoma and regulates cell proliferation and metastasis via miR-339-3p by Xi Chen, Wenhui Xu, Yuan Shen, Anning Qi, Huiling Qin

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Implementing the Family Talk Intervention among families with a severely ill parent or child with palliative care needs- a longitudinal study of the perspectives of hospital social... by Ingrid Thermaenius, Maja Holm, Maja Holm, Kristofer Årestedt, Camilla Udo, Anette Alvariza, Anette Alvariza, Tina Lundberg, Tina Lundberg, Lars Wallin, Malin Lövgren, Malin Lövgren

“…For the longitudinal analysis of data, Friedman's test was used.ResultsThe HSWs rated the use of FTI high after completing the FTI-education, indicating a positive attitude towards FTI. …”
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Reforms in the Field of Statistics of the Republic of Uzbekistan: Results and Development Prospects by B. A. Begalov, O. T. Mamadaliev

“…In particular, the authors noted that at present in the statistical industry of the Republic of Uzbekistan a whole range of measures has already been carried out, which made it possible to achieve certain results in the republican and international ratings.The article shows that a solid regulatory and legal framework has been created for the effective development of the statistical sphere of the Republic of Uzbekistan.The authors’ studies show that reforms in the field of statistics of the Republic of Uzbekistan are carried out in such areas as improving the organizational and legal infrastructure, developing the statistical infrastructure, establishing optimal interaction between providers and users of statistical data, effectively developing the information and communication infrastructure, improving sectoral and regional statistics, improving the quality of training and comprehensive development of personnel, improving the country’s indicators in the Index of the statistical capacity of the World Bank countries.The article tells that thanks to the openness and transparency of statistical data, users have free access to relevant statistical information, and these results are highly appreciated not only by domestic, but also by foreign users and, most importantly, by the international statistical community.The authors note that recently a lot of work has been done to bring a number of indicators of macroeconomic and social statistics, methods of statistical assessment of the shadow economy, statistics of tourism, employment, environmental accounting, transport, public finance and other sectors in line with the requirements of international standards, a thorough preparation for censuses (population, agriculture, business), etc.Purpose. …”
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A Novel Method for 3D Lung Tumor Reconstruction Using Generative Models by Hamidreza Najafi, Kimia Savoji, Marzieh Mirzaeibonehkhater, Seyed Vahid Moravvej, Roohallah Alizadehsani, Siamak Pedrammehr

“…Following successful segmentation and tumor detection, the VGG16 algorithm is utilized for feature extraction, preparing the data for the final 3D reconstruction. These features are then processed through an LSTM network and converted into a format suitable for the reconstructive GAN. …”
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Research on Diffusion Patterns of Gas Produced by Energy Storage Lithium Batteries due to Thermal Runaway by LIU Li, SHI Mengzhao, XU Dongyang, TANG Wenbing, HU Yue, JIANG Fengbing

“…The subsequent modeling of cell combustion, combined with experimental data, allows for the accurate correction of the heat release rate curve using a modified dichotomy method. …”
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Joint user plane function instance and base station scheduling in mobile networks by Seokwon Jang, Namseok Ko, Jaewook Lee, Yeunwoong Kyung, Haneul Ko

“…To guarantee a high data transmission rate in heterogeneous mobile networks, sufficient small base stations (SBSs) and user plane function (UPF) instances should be active. …”
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Extending LoRaWAN: Mesh Architecture and Performance Analysis for Long-Range IoT Connectivity in Maritime Environments by Nuno Cruz, Carlos Mendes, Nuno Cota, Gonçalo Esteves, João Pinelo, João Casaleiro, Rafael Teixeira, Leonor Lobo

“…A LoRaWAN application architecture comprises three functional components: (i) nodes, which convert and wirelessly transmit data as LoRaWAN messages; (ii) gateways, which receive and forward these transmissions; and (iii) network servers, which process the received data for application delivery. …”
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