Automated strabismus detection and classification using deep learning analysis of facial images by Mahsa Yarkheir, Motahhareh Sadeghi, Hamed Azarnoush, Mohammad Reza Akbari, Elias Khalili Pour

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A new dimensionality reduction technique based on the Wavelet Transform for cancer classification by Lisardo Fernández, Mariano Pérez, Juan M. Orduña, José M. Alcaraz

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Classification of management tools in small business organizations for developing a sales funnel by E. R. Tolstova, L. V. Silakova

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A dataset of Antarctic ecosystems in ice-free lands: classification, descriptions, and maps by Anikó B. Tóth, Aleks Terauds, Steven L. Chown, Kevin A. Hughes, Peter Convey, Dominic A. Hodgson, Don A. Cowan, John Gibson, Rachel I. Leihy, Nicholas J. Murray, Sharon A. Robinson, Justine D. Shaw, Jonathan S. Stark, Mark I. Stevens, John van den Hoff, Jane Wasley, David A. Keith

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THE IMPACT OF NORMALIZATION PROCEDURES ON THE CLASSIFICATION OF BUILDING MATERIALS COMPANIES LISTED ON THE WARSAW STOCK EXCHANGE

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Blended Features Classification of Leaf-Based Cucumber Disease Using Image Processing Techniques by Jaweria Kainat, Syed Sajid Ullah, Fahd S. Alharithi, Roobaea Alroobaea, Saddam Hussain, Shah Nazir

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Evaluation of Sanandaj city vulnerability to earthquake using classification tree analysis (CTA) model by shahrivar rostaei, rahim heydari chyaneh, ayoub zoghi

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An Improved Particle Swarm Optimization-Powered Adaptive Classification and Migration Visualization for Music Style by Xiahan Liu

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Comparing the SDG-classification systems of Dimensions, InCites and SciVal for the University of Helsinki by Petri Turunen, Terhi Sandgren

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FedRSC: A Federated Learning Analysis for Multi-Label Road Surface Classifications by Ioannis V. Vondikakis, Ilias E. Panagiotopoulos, George J. Dimitrakopoulos

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Automated Classification of Circulating Tumor Cells and the Impact of Interobsever Variability on Classifier Training and Performance by Carl-Magnus Svensson, Ron Hübler, Marc Thilo Figge

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Transforming Alzheimer’s Disease Diagnosis: Implementing Vision Transformer (ViT) for MRI Images Classification by Dian Kurniasari, Muhammad Dwi Pratama, Akmal Junaidi, Ahmad Faisol

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EXPLORING THE INFLUENCES ON DISPLACED CITIZENS' DECISION TO REPATRIATE: A CLASSIFICATION OF POSITIVE AND NEGATIVE FACTORS by Volodymyr Filippov, Iryna Bashynska, Elvin Yangulov

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Classification of schizophrenia, bipolar disorder and major depressive disorder with comorbid traits and deep learning algorithms by Xiangning Chen, Yimei Lu, Joan Manuel Cue, Mira V. Han, Vishwajit L. Nimgaonkar, Daniel R. Weinberger, Shizhong Han, Zhongming Zhao, Jingchun Chen

“…In this study, we use polygenic risk scores (PRSs) of 42 traits comorbid with schizophrenia (SCZ), bipolar disorder (BIP), and major depressive disorder (MDD) to evaluate their utilities. …”
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Retracted: Automatic Classification Method of Music Genres Based on Deep Belief Network and Sparse Representation by Journal of Mathematics

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Distribution of the four type VI secretion systems in Pseudomonas aeruginosa and classification of their core and accessory effectors by Antonia Habich, Verónica Chaves Vargas, Luca A. Robinson, Luke P. Allsopp, Daniel Unterweger

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Classification of the Traffic Status Subcategory with ETC Gantry Data: An Improved Support Tensor Machine Approach by Yan Zhao, Wenqi Lu, Yikang Rui, Bin Ran

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Classification of Myopathy and Amyotrophic Lateral Sclerosis Electromyograms Using Bat Algorithm and Deep Neural Networks by A. Bakiya, A. Anitha, T. Sridevi, K. Kamalanand

“…Correspondingly, the developed conventional single layer artificial neural network (neurons=7) with time domain features has shown an accuracy of 83.3%, sensitivity of 100%, and specificity of 71.42%. The work materializes the significance of conventional and deep neural network using time and time-frequency features in diagnosing the abnormal signals exists in neuromuscular system using efficient classification.…”
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Predictive value of myositis antibodies: role of semiquantitative classification and positivity for more than one autoantibody by Anne M Kerola, Arno Hänninen, Annukka Pietikäinen, Julia Barantseva, Annaleena Pajander

“…Regarding other myositis antibodies, 18–42% of cases had myositis. Anti-synthetase antibodies, anti-MDA5, anti-PM-Scl100, anti-SAE1 and anti-Ro52 had a PPV for ILD of 25–47%. …”
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Chrysanthemum classification method integrating deep visual features from both the front and back sides by Yifan Chen, Xichen Yang, Hui Yan, Hui Yan, Jia Liu, Jian Jiang, Zhongyuan Mao, Tianshu Wang, Tianshu Wang

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