Method for EEG signal recognition based on multi-domain feature fusion and optimization of multi-kernel extreme learning machine by Shan Guan, Tingrui Dong, Long-kun Cong

“…Abstract In response to the current issues of one-sided effective feature extraction and low classification accuracy in multi-class motor imagery recognition, this study proposes an Electroencephalogram (EEG) signal recognition method based on multi-domain feature fusion and optimized multi-kernel extreme learning machine. …”
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Особенности классификации, способов предоставления и нормативного регулирования жилищно-коммунальных услуг, как разновидности публичной услуги...

“…The article discusses issues related to the concept and characteristics of public services, public contract and communal services as a form of public service, and also reflects the author's position on improving the classification of housing services and modes of supply.…”
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A robust and personalized privacy-preserving approach for adaptive clustered federated distillation by Mai Shawkat, Zainab H. Ali, Mofreh Salem, Ali El-desoky

“…Challenges such as personalization and data heterogeneity issues remain critical. Clustered federated learning (CFL) has been proposed as a promising approach to alleviate these issues by establishing specialized global models for sets of similar users. …”
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Model and Method of Solid Household Waste Sorting for Their Effective Thermal Disposal by Hanna Lysiuk, Oksana Maksymova

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IDENTIFYING TECHNICAL AND ECONOMIC THREATS TO THE SUSTAINABLE FUNCTIONING OF ELECTRIC POWER SECTOR by N. N. Chalenko

“…The article provides the classification of threats to the sustainable functioning of electric power industry enterprises. …”
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CLINICAL SIGNIFICANCE OF EPILEPTIFORM ACTIVITY IN ELECTROENCEPHALOGRAM by L. Yu. Glukhova

“…Clinical presentation should be taken into account while interpreting EEG results with registered epileptiform activity. The issues of epileptiform activity classification and differential interpretation of other electrical activity types are also discussed in the article. …”
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Preventive Activities of Forensic Vehicle Examiners by N. N. Il’in

“…These highly topical problems are mainly related to conceptual and classification issues of vehicle examinations, the definition of their subject, objects, and tasks, as well as with the proposals in the field of methodological support.The article addresses the issues of preventive activities of forensic vehicle examiners, analyzes scientific sources, examples of investigative and judicial practice, as well as current legislation. …”
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PhysioDimClassifier—imbalance data classifier model for IoMT-based remote patient monitoring systems by Sayyed Johar, G.R. Manjula

“…A rotational tree classifier trackspermanence sequences, ensuring accurate classification of imbalanced data. By analyzingsequence interruptions, the model improves the retention of imbalanced data patterns, reducing misclassification. …”
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Machine Learning Methods in Customer Segmentation and Recommendation Systems by Guo Yiran

“…Healthcare applies clustering for patient classification, improving treatment accuracy by 18%. This article points out that current technical challenges include data quality issues, privacy risks, and bias. …”
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Dilemmas and ethical decision-making in Knowledge Organization by Suellen Oliveira Milani

“…Librarians assign classification numbers and indexing terms to documents through knowledge representation and knowledge organization systems, such as classification schemes, indexing languages, etc. …”
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Multilevel access control for video database by Jin-bo XIONG, Zhi-qiang YAO, Jian-feng MA, Qi LI

“…In regards to the critical issues of classification protecting sensitive information of the data stored in video database,a multilevel access control model for the video database was proposed.A series of algorithms was designed and developed in the model where a method of distinguishing user identity and an algorithm to ensure good identity strength were presented.The result of them was then used as the input to user's security level membership function.The user's security level membership degree was subsequently acquired from the result of this function,and it is then,together with the security level membership degree of video data,used as input to the comparison function of security level membership degree in authorization rule.As a result,the multilevel access control can be implemented neatly through combining the result of the comparison function with time element.Compared with the existing access control models,the most outstanding characteristics of the proposed model are realizations of dynamic authorization and video data classification protection.…”
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ON STANDARDIZATION OF RADIATION PROTECTION INDEXES OF NATURAL MINERAL WATERS by I. P. Stamat, V. V. Stupina

“…It is shown that classification of natural mineral waters according to their intended use which is accepted in GOST R 54316-2011 is close to their classification in the EU countries. …”
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Problems of Theory and Practice of Investigative Experiment by O. V. Chelysheva

“…The necessity of formulating the definition of the concept of an investi­gative experiment through the concept of «experience» is substantiated. In addition, the issues of classifi­cation of investigative experiments, which are based on the intended purpose of the investigative action, are considered. …”
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Anomaly detection solutions: The dynamic loss approach in VAE for manufacturing and IoT environment by Praveen Vijai, Bagavathi Sivakumar P

“…The model achieved an accuracy of 98% and an F1 score of 96% for binary classification on the SKAB dataset and a multiclass classification accuracy of 92% with an F1 score of 85% on the TEP dataset. …”
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Financial law enforcement acts in Poland by E. Ruskowski

“…The paper is devoted to the classification of financial law enforcement acts issued in Poland.The purpose of the paper is a typological analysis of the financial law enforcement acts in Poland depending on the subjects who issues such acts.The methodology. …”
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Method of troubleshooting in the neural network environment of intellectual decision supporting systems by О.І. Тимочко, С.В. Осієвський, О.О. Тімочко, П.В. Бєляєв

“…A formalized definition of the error of the neural network intelligent system is proposed, taking into account the requirements for efficiency and accuracy of information presentation. The issues of the influence of incorrect organization of machine learning on the accuracy of classification of elements of the neural network intellectual system are considered. …”
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Intellectual Capital and its Role in Assessing the Sustainability of an Economic Entity by V. G. Kogdenko, M. V. Melnik

“…The article considers the issues of structuring, accounting, analysing and monitoring the changes in intellectual capital (IC). …”
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Detecting Throat Cancer From Speech Signals Using Machine Learning: A Scoping Literature Review by Mary Paterson, James Moor, Luisa Cutillo

“…Articles were categorised based on whether they performed binary or multi-class classification. We found 27 articles fitting our inclusion criteria, 12 performing binary classification, 13 performing multi-class classification, and two that do both binary and multi-class classification. …”
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Optimized deep learning approach for lung cancer detection using flying fox optimization and bidirectional generative adversarial networks by Manal Abdullah Alohali, Hamed Alqahtani, Shouki A. Ebad, Faiz Abdullah Alotaibi, Venkatachalam K., Jaehyuk Cho

“…Computer-aided diagnosis (CAD) systems have significantly improved early cancer detection, but limitations such as high-dimensional feature sets and overfitting issues persist. This study presents an optimised deep learning approach for lung cancer classification, integrating flying fox optimization (FFXO) for feature selection and bidirectional generative adversarial networks (Bi-GAN) for classification. …”
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TRANSFORMER VS. MAMBA AS SKIN CANCER CLASSIFIER: PRELIMINARY RESULTS by Владислав Нікітін, Валерій Данілов

“…Methods: We used the HAM10000 dataset, a well-known benchmark in skin cancer classification, with 10015 dermoscopic images. We preprocessed the data to address issues like class imbalance and normalized the images. …”
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