Search Results - data processing methods

Institutionalization оf Financial literacy оf the Adult Population оf Russia by O. V. Kuznetsov, A. V. Ivanov, N. V. Vorovskii, I. S. Shevalkin

“…Techniques such as content analysis of references, verification, analysis, statistical and sociological methods (survey), crosstabulation, etc. were employed to analyze the data. …”
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Forecasting and optimization of the kilovoltage X-ray therapy office within the framework of clinical guidelines of the Association of oncologists of Russia (AOR) of the Ministry o... by L. N. Izurov, J. A. Zuenkova

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THE AUTOMATED CONTROL SYSTEM OF PARAMETERS OF STATIONARYAND MOBILE OBJECTS by Valery Petrovich Mochalov, Natalia Yurievna Bratchenko, Sergey Vladimirovich Yakovlev

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MACHINE LEARNING TECHNIQUES FOR RETINOPATHY DETECTION IN DIABETIC PATIENTS by Ajay Kushwaha, Ahankari Sachin Suresh, Chennoju Phanindra, Anil Kumar Sahu, Devanand Bhonsle, Yamini Chouhan

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EFFICIENCY CRITERIA FOR LUBRICATING-COOLING FLUIDS by Gennady I. Smagin, Alexander B. Tsyupko, Evgheny V. Karpov, Sergey N. Cherdakov

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ENHANCING STATE POLICY EFFECTIVENESS IN CINEMA THROUGH MACHINE LEARNING / Повышение эффективности государственной политики в сфере кинематографа с помощью машинного обучения... by DOZHDIKOV ANTON V. / ДОЖДИКОВ А.В.

“…A study was conducted on the distribution data of a range of Russian national films from 2004 to September 2023 using machine learning methods, with successful and unsuccessful films and patriotic projects considered separately. …”
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Safety evaluation of the food enzyme subtilisin from the non‐genetically modified Bacillus paralicheniformis strain AP‐01 by EFSA Panel on Food Contact Materials, Enzymes and Processing Aids (CEP), Claude Lambré, José Manuel Barat Baviera, Claudia Bolognesi, Pier Sandro Cocconcelli, Riccardo Crebelli, David Michael Gott, Konrad Grob, Evgenia Lampi, Marcel Mengelers, Alicja Mortensen, Gilles Rivière, Inger‐Lise Steffensen, Christina Tlustos, Henk Van Loveren, Laurence Vernis, Holger Zorn, Yrjö Roos, Jaime Aguilera, Magdalena Andryszkiewicz, Daniele Cavanna, Silvia Peluso, Rita Ferreira deSousa, Francesco Pesce, Yi Liu, Andrew Chesson

“…The food enzyme is intended to be used in five food manufacturing processes. Since residual amounts of food enzyme‐total organic solids (TOS) are removed in one process, dietary exposure was calculated only for the remaining four food manufacturing processes. …”
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Cholecystoduodenal fistula accompanied by bleeding from the upper gastrointestinal tract (clinical case) by V. M. Manuylov, A. N. Shcherbyuk, D. A. Tsarev, Yu. I. Zakharov, Ya. E. Nemstsveridze, A. V. Mokhov, D. A. Mokhov, E. Yu. Nabieva, S. S. Karpina, U. O. Gafarov, A. V. Peretechikov, A. P. Yunkin

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Dataset and AI Workflow for Deep Learning Image Classification of Ulcerative Colitis and Colorectal Cancer by Joaquim Carreras, Giovanna Roncador, Rifat Hamoudi

“…The samples were stained with hematoxylin and eosin (H&E), and immunohistochemically analyzed for LAIR1 and TOX2 markers. The methods used for collecting, processing, and analyzing scientific data, including this dataset, using convolutional neural networks (CNNs) and information about the dataset’s use are also described. …”
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A Combined HF Radar and Drifter Dataset for Analysis of Highly Variable Surface Currents by Bartolomeo Doronzo, Michele Bendoni, Stefano Taddei, Angelo Boccacci, Carlo Brandini

“…This data descriptor presents the HF radar and drifter datasets, along with the methods used to process and apply them in a previously published study on the validation of surface current measurements in a region characterized by highly variable coastal dynamics. …”
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Enhanced bearing health indicator extraction using slope adaptive signal decomposition for predictive maintenance by Dev Bhanushali, Pooja Kamat, Harsh Dhiman

“…Among these, GRU exhibits best performance with R2 score above 0.96 across all 3 operating conditions for various bearings. This method bridges the gap between signal processing and data-driven prognostics, enabling robust bearing health monitoring under varying operational conditions. …”
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Bridging language gaps: The role of NLP and speech recognition in oral english instruction by Parul Dubey, Pushkar Dubey, Rohit Raja, Sapna Singh Kshatri

“…The Natural Language Processing (NLP) and speech recognition have transformed language learning by providing interactive and real-time feedback, enhancing oral English proficiency. …”
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Study of spectral overlap and heterogeneity in agriculture based on soft classification techniques by Shubham Rana, Salvatore Gerbino, Petronia Carillo

“…Methodological approach: • Integrating advanced image processing techniques and vegetative band ratios with the fuzzy classification method MPCM to handle the inherent complexities in agricultural image analysis, such as spectral overlap and mixed boundaries. • Quantitative assessment of classification accuracy using Fuzzy Error Matrices (FERM).This approach provides a robust framework for analyzing spectral overlaps among the crops and weeds and improving the accuracy of crop classification, particularly in heterogeneous environments.…”
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Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancements by Raghavendra M Devadas, Sowmya T

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IM- LTS: An Integrated Model for Lung Tumor Segmentation using Neural Networks and IoMT by Jayapradha J, Su-Cheng Haw, Naveen Palanichamy, Kok-Why Ng, Senthil Kumar Thillaigovindhan

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Synthetic GPR datasets to evaluate hybridization inverse approach for pavement tack coat characterization—Geometrical and physical parametric studyDataverse by Grégory Andreoli, Amine Ihamouten, Xavier Dérobert

“…The use of non-destructive testing (NDT) methods, such as electromagnetic wave propagation combined with a hybrid data processing approach—machine learning and Full-Waveform Inversion—has recently demonstrated its effectiveness [1]. …”
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Evaluating sentiment analysis models: A comparative analysis of vaccination tweets during the COVID-19 phase leveraging DistilBERT for enhanced insights by Renuka Agrawal, Mehuli Majumder, Ishita Yadav, Nandini Taneja, Safa Hamdare, Preeti Hemnani

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Advancements in epilepsy classification: Current trends and future directions by Rajani Rai B, Karunakara Rai B, Mamatha A S, Kavitha Sooda

“…Furthermore, the paper delves into the challenges faced by current methods and the possible solutions. The paper concludes with the discussion on potential future research directions, especially in areas of multimodal data integration and real-time seizure prediction, and emphasizes the potential for AI-driven personalized epilepsy treatment techniques.…”
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Gas sensors and real-time video for accurate classroom occupancy detection by Koundinya Challa, Issa W. AlHmoud, Chandra Jaiswal, Balakrishna Gokaraju, Raymond Tesireo

“…The combination of these modalities provides a robust and adaptable framework for occupancy detection, which can be scaled for different building types and configurations. This method demonstrates significant potential in reducing energy consumption and enhancing the sustainability of building management systems by providing precise occupancy data for HVAC optimization. …”
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A comparative analysis of emotion recognition from EEG signals using temporal features and hyperparameter-tuned machine learning techniques by Rabita Hasan, Sheikh Md. Rabiul Islam

“…Differential entropy and Higuchi's fractal dimension are two important time-domain parameters that we extracted after applying a segmentation technique to capture the temporal interdependence of EEG data. These features were selected for their ability to reflect intricate neural dynamics associated with emotional processing. …”
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