Search Results - binary data processing

Opioid Crisis Detection in Social Media Discourse Using Deep Learning Approach by Muhammad Ahmad, Grigori Sidorov, Maaz Amjad, Iqra Ameer, Ildar Batyrshin

“…This approach ultimately aims to enhance prevention and treatment strategies for opioid misuse through data-driven insights. The findings show that our proposed methodology achieved the highest cross-validation score of 93% for binary classification and 91% for multi-class classification, demonstrating performance improvements of 9.41% and 10.98%, respectively, over the baseline model (XGB, 85% in binary class and 81% in multi-class).…”
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A model for identifying project sprint tasks based on their description by Marina Grinchenko, Mykyta Rohovyi

“…The article solves the following tasks: analyzing research on the classification and visualization of project tasks, developing an algorithm that can automatically classify text descriptions of sprint tasks, collecting and preparing a training sample of text descriptions of sprint tasks for training and testing the classification model, applying natural language processing methods to improve classification and ensure the accuracy of the results, validating the model on real data to assess the efficiency and accuracy of classification, and analyzing the results. …”
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A model for identifying project sprint tasks based on their description by Марина Гринченко, Микита Роговий

“…The article solves the following tasks: analyzing research on the classification and visualization of project tasks, developing an algorithm that can automatically classify text descriptions of sprint tasks, collecting and preparing a training sample of text descriptions of sprint tasks for training and testing the classification model, applying natural language processing methods to improve classification and ensure the accuracy of the results, validating the model on real data to assess the efficiency and accuracy of classification, and analyzing the results. …”
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Parameters of the UNIQUAC model for describing the vapor-liquid phase equilibrium of D₂-T₂, D₂-DT, DT-T₂ hydrogen isotope mixtures by T. G. Korotkova

“…Determination of the parameters of the binary energy interaction of the (UNIversal QUAsiChemical) UNIQUAC model on the basis of mathematical processing of experimental literature data on the phase equilibrium of hydrogen isotopic mixtures D2-T2, D2-DT, DT-T2 to calculate the activity coefficients of the components D2, DT, and T2.Methods. …”
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Mixing and Power Consumption of Structured Fluids in Stirred Reactors by Giuseppina Montante, Gianluca Boccardo, Nicola Antonio Di Spirito, Nino Grizzuti, Francesco Maluta, Daniele Marchisio, Alessandro Paglianti, Rossana Pasquino

“…This work deals with the fluid dynamics characterization of structured fluids, which are adopted in the preparation and processing of many products in different industrial applications. …”
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Improving 3D Human Pose Orientation Recognition Through Weight-Voxel Features And 3D CNNs by Moch. Iskandar Riansyah, Oddy Virgantara Putra, Farah Zakiyah Rahmanti, Ardyono Priyadi, Diah Puspito Wulandari, Tri Arief Sardjono, Eko Mulyanto Yuniarno, Mauridhi Hery Purnomo

“…The results show that the accuracy and loss in 3D object classification exhibit superior performance compared to specific preprocessing methods, such as binary processing within each voxel. …”
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Statistical Characteristics Improvement of a Hardware Random Number Generator by a Software Method by M. O. Pikuza

“…To improve the statistical characteristics, various software tools for processing the output data of the generator are used. …”
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A pilot model of the scientific journal network in Russia: An intersection graph analysis by A. A. Pechnikov

“…This article introduces an approach to analyze the journal network based on a new bibliographic graph in which the relationships among journals are defined by shared authorship, i.e., through the binary intersection of author sets. Two levels of journal interaction can be distinguished using consistent source data processing techniques and methods. …”
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High-Resolution Global Land Cover Maps and Their Assessment Strategies by Qiongjie Xu, Vasil Yordanov, Lorenzo Bruzzone, Maria Antonia Brovelli

“…This review provides an in-depth analysis of recent developments by examining the data sources, methodologies, and validation techniques utilized in 19 global binary and multi-class land cover products. …”
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On the Model Checking Problem for Some Extension of CTL* by Anton Romanovich Gnatenko, Vladimir Anatolyevich Zakharov

“…Sequential reactive systems include programs and devices that work with two streams of data and convert input streams of data into output streams. …”
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Stochastic Fractal Search for Bayesian Network Structure Learning Under Soft/Hard Constraints by Yinglong Dang, Xiaoguang Gao, Zidong Wang

“…This generated fragmented knowledge can compensate for the limitations of data learning methods. In our work, we propose a new binary stochastic fractal search (SFS) algorithm to learn DAGs. …”
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The use of machine learning methods in the development of nasal dosage forms with cerebroprotective action by B. S. Burlaka, I. F. Bielenichev

“…Results. The obtained data allowed to choose two perspective models of machine learning of binary classification, whose quality was checked on a dataset for verification. …”
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Fortified-Edge 2.0: Advanced Machine-Learning-Driven Framework for Secure PUF-Based Authentication in Collaborative Edge Computing by Seema G. Aarella, Venkata P. Yanambaka, Saraju P. Mohanty, Elias Kougianos

“…This eliminates the need to transmit sensitive binary data, reducing the attack surface and bandwidth usage. …”
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DETERMINING THE SIZE OF THE POPULATION OF THE GENETIC ALGORITHM FOR THE PROBLEMS OF DISCRETE OPTIMIZATION IN CAD by V. V. Frolov

“…The regression model is obtained as a result of processing simulation data in the formation of a population for a single-variable objective function. …”
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Perceptual clustering in auditory streaming. by Nathanael Larigaldie, Tim Yates, Ulrik R Beierholm

“…Perception is dependent on the ability to separate stimuli from different objects and causes in order to perform inference and further processing. We have models of how the human brain can perform such causal inference for simple binary stimuli (e.g., auditory and visual), but the complexity of the models increases dramatically with more than two stimuli. …”
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The development of advanced network simulators for air transport by using fuzzy models and noise-resistant coding by A. A. Gladkih, L. G. Bolshedvorskaya, An. K. Volkov, Al. K. Volkov

“…This model of redundant code decoder uses methods of cognitive data processing in the implementation of the procedure of permutation decoding to effectively protect remote control commands from the influence of destructive factors on the control process.…”
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Robust machine learning models for calculating the carbon dioxide desublimation point within natural gas mixtures at low temperature conditions by Walid Abdelfattah, Munthar Kadhim Abosaoda, Dharmesh Sur, Menon Soumya V, Prabhat Kumar Sahu, Kamred Udham Singh, R. Sivaranjani, Rohit Chauhan, Siya Singla, Fereydoon Ranjbar

“…These data points cover the CDDT in binary and ternary natural gas mixtures under different pressures and gas fractions. …”
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Explainable clinical diagnosis through unexploited yet optimized fine-tuned ConvNeXt Models for accurate monkeypox disease classification by Muhammad Waqar, Zeshan Aslam Khan, Shanzey Tariq Khawaja, Naveed Ishtiaq Chaudhary, Saadia Khan, Khalid Mehmood Cheema, Muhammad Farhan Khan, Syed Sohail Ahmed, Muhammad Asif Zahoor Raja

“…Rather of building and training CNNs from scratch, this study uses transfer learning (TL) technique to fine-tune pre-trained networks, particularly exploiting various versions of ConvNeXt, by substituting last layer with additional task specific ones. A number of pre-processing and data augmentation methods have also been assessed and adjusted with regard to computing time and performance. …”
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The model is a reprint of an object in the image by A. A. Kulikov

“…A local detector for the facial image identification model has been developed to account for acceptable changes in angle, various noise, and different light levels. The binary value that is the result of model processing, represented as activation, determines the relation of a particular image to the corresponding class. …”
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A method for pre-determining edges in 3D point clouds using contour detectors in images by D. G. Filipov, S. L. Katsarska-Filipova, P. L. Raeva

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