Personalised Affective Classification Through Enhanced EEG Signal Analysis by Joseph Barrowclough, Nonso Nnamoko, Ioannis Korkontzelos

“…Background and Objectives Declining mental health is a prominent and concerning issue. Affective classification, which employs machine learning on brain signals captured from electroencephalogram (EEG), is a prevalent approach to address this issue. …”
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Research on APT groups malware classification based on TCN-GAN. by Daowei Chen, Hongsheng Yan

“…This paper addresses the issue of tracing and attributing APT malware groups. …”
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Histiocytic neoplasms: modern aspects of pathogenesis, classification, diagnosis and treatment by O. D. Gurieva, T. T. Valiev, A. I. Pavlovskaya

“…Considering MAPK-signaling pathway mutations role (including BRAFV600E) in the pathogenesis of histiocytic cell tumors the importance of genetic studies in the diagnosis and choice of therapeutic strategy in these diseases increases. In the current issue modern classifications of histiocytic cell tumors, morphological and immunophenotypic features of histiocytic and dendritic cells, and the role of recurrent somatic mutations of the MAPK signaling pathway in the pathological histiocytic proliferation are presented. …”
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Image Classification of Indonesian Snacks using Convolutional Neural Network by Kunti Eliyen, Abidatul Izzah, Fikha Rizky Aullia

“…One way to address this issue is through image classification of Indonesian traditional snacks using Convolutional Neural Networks (CNN). …”
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Self-education and information technologies – changeability of forms and difficulty of classification by Sergo KURULISZWILI

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Dynamic graph structure evolution for node classification with missing attributes by Xiaomeng Song, Bin Zhou, Yanjiang Wang, Weifeng Liu

“…Graph completion learning (GCL) methods have been developed to address this issue, aiming to reconstruct missing node attributes based on existing structural relationships. …”
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Spectral-Spatial Convolutional Hybrid Transformer for Hyperspectral Image Classification by Haixin Sun, Jingwen Xu, Fanlei Meng, Mengdi Cheng, Qiuguang Cao

“…However, how to integrate the spectral and spatial features effectively after dimensionality reduction while retaining key information remains to be optimized further. To address this issue, the Spectral-spatial convolutional hybrid Transformer (SSCHFormer) hyperspectral classification model is proposed in this article. …”
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Semantic Patent Classification Using Stack Generalization of Deep Models by Shahla Nemati

“…The process of manually annotating is both tedious and time-consuming. To solve this issue, we have introduced a deep ensemble model for semantic paragraph-level pattern classification based on the semantic content of patents. …”
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An IoT and Machine Learning-based Neonatal Sleep Stage Classification by Awais Abbas, Hafiz Sheraz Sheikh, SaadUllah Farooq Abbasi

“…Polysomnography (PSG) is considered a gold standard to classify sleep. To address this issue, over the past two decades, researchers proposed multiple algorithms for automatic sleep stage classification. …”
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Modern Models of Business Social Responsibility: Classification and Comparative Analysis by A. Zhukovska, К. Velichko

“…Different aspects of the business social responsibility were examined both by the foreign nanddomestic scientists, but despite many kinds of the research on this issue, today in the modern scientific literature there are no comprehensive studies devoted to the generalization and systematization of a plurality of existing models of the business social responsibility..Objective: a critical analysis of the social responsibility model shaving emerged from the world practice, the development of a single generalized classification, a comparative analysis of the individual models of the business social responsibility, the study of the peculiarities of the functioning of the domestic model of social responsibility, the identification of its weak points and the development of the recommendations for their elimination, taking into account the global practice..Methods (methodology) of research. …”
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Classification of traditional and contemporary building strategies compatible with climate change by Niloofar Kishi, Nafiseh Yari Borujeni

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Enhancing driver emotion recognition through deep ensemble classification by Faizan Zaman, Zhigang Xu, Adil Hussain, Anees Ullah, Khalid Zaman

“…It recognizes the common issue of driver emotions, which often leads to the neglect of poor driving practices. …”
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Classification of Lung Nodule Using Hybridized Deep Feature Technique by Malin Bruntha, Immanuel Alex Pandian, Siril Sam Abraham

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Electrical impedance-based tissue classification for bladder tumor differentiation by Carina Veil, Franziska Krauß, Bastian Amend, Falko Fend, Oliver Sawodny

“…With bladder cancer, an important issue is tumor recurrence because of failure to remove the entire tumor. …”
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Methods of controlling electrochemical energy storages: classification and application features by Sergiy Plaksin, Mykola Zhytnyk, Ruslana Levchenko, Svitlana Ostapovska

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Advancing ECG Signal Classification With a Fuzzy Classifier Approach by Jan Rabcan, Vitaly Levashenko, Elena Zaitseva, Miroslav Kvassay

“…However, preprocessing can also lead to the loss of small but potentially important information, which may affect the performance of classification algorithms. In this paper, we present an approach for ECG signal classification that addresses the issue of information loss during preprocessing. …”
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Bertolotti's syndrome in low-backache population: Classification and imaging findings by Reddy Ravikanth, Pooja Majumdar

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Ensemble Machine Learning Model for Classification of Spam Product Reviews by Muhammad Fayaz, Atif Khan, Javid Ur Rahman, Abdullah Alharbi, M. Irfan Uddin, Bader Alouffi

“…Detecting spam product reviews is a challenging issue in NLP (natural language processing). Numerous machine learning approaches have attempted to detect and classify the product reviews as spam or nonspam. …”
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Classifications of haemodialysis vascular access stenosis: a scoping review by Petr Waldauf, Michael Corr, Stephen O’neill, Katerina Lawrie, Jan Malik, Libor Janousek, Stepan Maly, Jaroslav Chlupac

“…The literature disposes of immense inconsistency in terms of the definition of significant stenosis indicated for treatment.Conclusions VA significant stenosis and its classification is a non-uniformly understood issue with many different criteria and categorisations. …”
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Multi-label Classification Based on Label-Aware Variational Autoencoder by SUN Hongjian, XU Pengyu, LIU Bing, JING Liping, YU Jian

“…With the rise of the Internet, all kinds of data are growing rapidly, and how to utilize these sample data efficiently has become an important issue in the field of data mining. The multi-label classification task, as an important task in the field of machine learning and data mining, aims to label samples with multiple label categories. …”
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