Retinopathy Disease Detection and Classification Using a Coordinate Attention Module-Based Convolutional Neural Network with Leaky Rectified Linear Unit by Pravin Balaso Chopade, Prabhakar N. Kota, Bhagvat D. Jadhav, Pravin Marotrao Ghate, Shriram Sadashiv Kulkarni

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An Empirical Model-Based Algorithm for Removing Motion-Caused Artifacts in Motor Imagery EEG Data for Classification Using an Optimized CNN Model by Rajesh Kannan Megalingam, Kariparambil Sudheesh Sankardas, Sakthiprasad Kuttankulangara Manoharan

“…In this research study, we propose an empirical error model-based artifact removal approach for the cross-subject classification of motor imagery (MI) EEG data using a modified CNN-based deep learning algorithm, designed to assist wheelchair users with severe mobility issues. …”
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On classification approaches, terminology and modern principles of treatment of pathologies associated with high myopia. Part 1. Criteria for high myopia and pathological myopia by V. V. Neroev, O. V. Zaytseva, E. P. Tarutta, E. V. Bobykin, M. A. Kovalevskaya, R. R. Fayzrakhmanov, P. A. Nechiporenko

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Application of pre-magnetic separation to address grinding classification density effects and enhance iron-copper separation in deep polymetallic magnetite ores by Shiteng Qin, Sheng Dou, Yang Hu, Shijie Ma, Fulai Lai, Chuan Zhang, Chong Shen, Hongyu Zhao

“…This study investigates the challenges faced in the grinding and classification process of a polymetallic magnetite ore from Anhui, particularly focusing on low classification efficiency, significant over-grinding, and decreased metal recovery rates. …”
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Wind energy system fault classification and detection using deep convolutional neural network and particle swarm optimization‐extreme gradient boosting by Chun‐Yao Lee, Edu Daryl C. Maceren

“…Thus, this research innovatively addresses the challenges in wind energy system fault classification and detection, emphasising the integration of robust machine learning methodologies. …”
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A novel hybrid fruit fly and simulated annealing optimized faster R-CNN for detection and classification of tomato plant leaf diseases by E. Gangadevi, Ben Othman Soufiane, Balamurugan Balusamy, Firoz Khan, Masresha Getahun

“…By hybridizing the fruit fly optimization algorithm and simulated annealing, the Faster R-CNN’s hyper-parameter issues are addressed, and the convergence rate is improved. …”
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Isolation and Classification of Green Alga Stigeoclonium attenuatum and Evaluation of its Ability to Prepare Zinc Oxide Nanoflakes for Methylene Blue Photodegradation by Sunlight by Marwa A. Aubaeed, Amjed Mirza Oda, Emad Y.A. AL-Sultan

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Moving beyond audit: driving system learning using a novel mortality classification system in a tertiary training hospital in Kenya by Richard E Davis, Mary B Adam, Mardi Steere, Evelyn Mbugua, Faith Mailu

“…Clinical classification systems have proliferated since the APGAR score was introduced in 1953. …”
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Use of the International Classification of Functioning, Disabilities and Health in assessing the readiness of persons with disabilities to be accompanied when receiving services, i... by A. V. Sokurov, T. V. Ermolenko, L. A. Kozhushko, I. S. Ishutinа, S. V. Рavlova, M. V. Ryabtsev

“…Rationale for the use of the International Classification of Functioning, Disabilities and Health in assessing the degree of readiness of persons with disabilities to be accompanied when receiving services, including accompanied accommodation.Materials and methods. …”
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DeepGenMon: A Novel Framework for Monkeypox Classification Integrating Lightweight Attention-Based Deep Learning and a Genetic Algorithm by Abdulqader M. Almars

“…<b>Background</b>: The rapid global spread of the monkeypox virus has led to serious issues for public health professionals. According to related studies, monkeypox and other types of skin conditions can spread through direct contact with infected animals, humans, or contaminated items. …”
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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

“…Many DL driven techniques have already been exploited in the literature for skin related issues, which have provided accurate results to some extent. …”
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Comorbidity, multimorbidity, dual diagnosis — synonyms or different terms? by O. M. Drapkina, A. M. Shutov, E. V. Efremova

“…The terms “comorbidity”, “multimorbidity”, “dual diagnosis” are considered in terms of conceptual differences. The issues of diagnostics, classification and modern clinical recommendations for patients with combined pathology are also discussed. …”
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Nonlinear comprehensive evaluation method based on information entropy and discrimination optimization by Xu Guanjun, Zeng Xijun

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MAE‐SigNet: An effective network for automatic modulation recognition by Shilong Zhang, Yu Song, Shubin Wang

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PRACE KONSERWATORSKIE, A KLASYFIKACJA ZABYTKÓW by Małgorzata Korpała

“…For this reason, the present classification should include the following: – increasing the importance of historic monuments and sites which have not been transformed at all or have been slightly modified This concerns historic monuments and sites which are typical of their epoch, e.g. tenement houses, palaces, industrial plants, etc. – valuable layers and elements created in the course of conservation works, which should be preserved and, prior to issuing permits by historic preservation office and launching conservation works, assessed in terms of their values. …”
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Symptoms indicative of early knee osteoarthritis after ACL reconstruction: descriptive analysis of the SHIELD cohort by Anna Cronström, May Arna Risberg, Martin Englund, Dorthe B. Strauss, Paul Neuman, Carl Johan Tiderius, Eva Ageberg

“…Future studies will reveal if these symptoms will persist long-term or just reflect more transient issues.…”
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Exploring Tensor-Based Optimization for Missing EEG Signal Recovery: A Comparative Study of Optimization Methods Across Different Tensor Decomposition Frameworks by Yue Zhang, Huanmin Ge, Chencheng Huang, Xinhua Su

“…Electroencephalography (EEG) signals are frequently compromised by missing data due to electrode contact issues or subject movement. Tensor decomposition has emerged as a powerful technique for analyzing multidimensional EEG data. …”
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Understanding Information Propagation in Online Social Networks: A Systematic Mapping Study by Eleana Jerez-Villota, Francisco Jurado, Jaime Moreno-Llorena

“…Also, the SMS reveals that there is no formal classification of the terms to refer to propagated information. …”
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Development and validation of a deep learning image quality feedback system for infant fundus photography by Helei Wang, Longhui Li, Wenjuan Wang, Zhiwen Li, Tianzi Jian, Xueying Yang, Boxuan Song, Shiqiang Li, Fabao Xu, Shaopeng Liu, Ying Li

“…The area under the curve (AUC) values for discriminating poor quality, adequate quality, and excellent quality images in the external validation dataset were 0.802, 0.691, and 0.926, respectively. For most classification tasks related to identifying issues in adequate and poor quality images, the AUC values consistently exceeded 0.8. …”
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FDCN-C: A deep learning model based on frequency enhancement, deformable convolution network, and crop module for electroencephalography motor imagery classification. by Hong-Jie Liang, Ling-Long Li, Guang-Zhong Cao

“…Whereas the utilization efficiency of EEG features in frequency and temporal domain is not sufficient, which results in poor MI classification performance. To address this issue, an EEG-based MI classification model based on a frequency enhancement module, a deformable convolutional network, and a crop module (FDCN-C) is proposed. …”
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