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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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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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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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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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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Bertolotti's syndrome in low-backache population: Classification and imaging findings by Reddy Ravikanth, Pooja Majumdar

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Autoinflammatory diseases. Part 1: concept, classification, immunobiology, diagnosis by O.V. Shvaratska, M.V. Kalichevska, O.V. Klymenko, O.M. Taran, O.V. Klimova, Y.V. Vilenskyi, T.M. Plekhanova, T.K. Mavropulo

“…This scientific review aimed to systematize current ideas about autoinflammatory diseases to increase medical professionals’ awareness regarding the issue, which is significantly lower than that of other categories of immune dysfunction. …”
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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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Application of the metaheuristic algorithms to quantify the GSI based on the RMR classification by Pouya Koureh Davoodi, Farnusch Hajizadeh, Mohammad Rezaei

“…Abstract Accurate classification of rock masses is an essential task in earth sciences applications. …”
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Comorbidity: a Modern View on the Problem; Classification (first notice) by Abrahamovych O., Fayura O., Abrahamovych U.

“…The work analyzes the literature sources, which deal with the study of comorbid diseases and sufficiently thoroughly reflect the current views of the scientists on the issue. Results of the investigation and their discussion. …”
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An Enhanced Tree Ensemble for Classification in the Presence of Extreme Class Imbalance by Samir K. Safi, Sheema Gul

“…Researchers using machine learning methods for classification can face challenges due to class imbalance, where a certain class is underrepresented. …”
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On the Issue of the Necessity to Comply with the Requirements of Legislation on the Production of Forensic Expertise and Procedural Expert Errors by N. V. Mikhaleva

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Controversial and open issues of diagnosis and treatment of myocarditis (based on the discussion of Russian national recommendations) by O. V. Blagova, O. M. Moiseeva, F. N. Paleev

“…Comments on the definition and classification of inflammatory heart diseases are given. …”
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Job recommender systems: a systematic literature review, applications, open issues, and challenges by Duygu Çelik Ertuğrul, Selin Bitirim

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Solutions for Lithium Battery Materials Data Issues in Machine Learning: Overview and Future Outlook by Pengcheng Xue, Rui Qiu, Chuchuan Peng, Zehang Peng, Kui Ding, Rui Long, Liang Ma, Qifeng Zheng

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Real-World Application of Digital Morphology Analyzers: Practical Issues and Challenges in Clinical Laboratories by Hanah Kim, Mina Hur, Giuseppe d’Onofrio, Gina Zini

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