EW-CACTUs-MAML: A Robust Metalearning System for Rapid Classification on a Large Number of Tasks by Wen-Feng Wang, Jingjing Zhang, Peng An

“…Validation of EW-CACTUs-MAML on a typical dataset (Omniglot) indicates an accuracy of 97.42%, performing better than CACTUs-MAML (validation accuracy = 97.22%). …”
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A Novel Feature Extraction Technique Using Binarization of Bit Planes for Content Based Image Classification by Sudeep Thepade, Rik Das, Saurav Ghosh

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Vs30 Mapping and Soil Classification in Tiznit Region Based On H/V Spectral Ration Method by Cherki Fadoua, Tadili Mehdi, Tadili Benaissa, Mhammdi Nadia

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Ensemble Classification Model With CFS-IGWO–Based Feature Selection for Cancer Detection Using Microarray Data by Pinakshi Panda, Sukant Kishoro Bisoy, Sandeep Kautish, Reyaz Ahmad, Asma Irshad, Nadeem Sarwar

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FlowMFD: Characterisation and classification of tor traffic using MFD chromatographic features and spatial–temporal modelling by Liukun He, Liangmin Wang, Keyang Cheng, Yifan Xu

“…Tor‐based application traffic classification is one of the tracking methods, which can effectively classify Tor application services. …”
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Platoon-Based Assessment of Two-Way Two-Lane Roads Performance Measure: A Classification Method by Hossein Samadi, Iman Aghayan, Amir Saman Abdollahzadeh Nasiri, Omid Rahmani, Mehrzad Hasanvand

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Assessment of functioning and disability of postpartum women: a study based on the International Classification of Functioning, Disability and Health by Marina da Silva Moraes, Francisco Farias Feitoza, Juliana Falcão Padilha

“…The International Classification of Functioning, Disability and Health (ICF) underlie the application of the biopsychosocial model. …”
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Towards Efficient Object Detection in Large-Scale UAV Aerial Imagery via Multi-Task Classification by Shuo Zhuang, Yongxing Hou, Di Wang

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Assessment of cardiac iron deposition and genotypic classification in pediatric beta-thalassemia major: the role of cardiac MRI by Siqi Zhang, Wen Zhao, Longwei Sun, Guohua Liang, Xiaodong Wang, Hongwu Zeng

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Fine-Grained Lung Cancer Classification from PET and CT Images Based on Multidimensional Attention Mechanism by RuoXi Qin, Zhenzhen Wang, LingYun Jiang, Kai Qiao, Jinjin Hai, Jian Chen, Junling Xu, Dapeng Shi, Bin Yan

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RETRACTED: Modern Subtype Classification and Outlier Detection Using the Attention Embedder to Transform Ovarian Cancer Diagnosis by S. M. Nuruzzaman Nobel, S M Masfequier Rahman Swapno, Md. Ashraful Hossain, Mejdl Safran, Sultan Alfarhood, Md. Mohsin Kabir, M. F. Mridha

“…Using images magnified WSI, the model demonstrated an astonishing 96.42% training accuracy and 95.10% validation accuracy. …”
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EEG-Based ADHD Classification Using Autoencoder Feature Extraction and ResNet with Double Augmented Attention Mechanism by Jayoti Bansal, Gaurav Gangwar, Mohammad Aljaidi, Ali Alkoradees, Gagandeep Singh

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Culture under Complex Perspective: A Classification for Traditional Chinese Cultural Elements Based on NLP and Complex Networks by Lin Qi, Yuwei Wang, Jindong Chen, Mengjie Liao, Jian Zhang

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Advanced in Islanding Detection and Fault Classification for Grid-Connected Distributed Generation using Deep Learning Neural Network by Rusvaira Qatrunnada, Novizon Novizon, Mardini Hasanah, Tuti Angraini, Anton Anton

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Characterization and classification of the compositional quality of milk from river buffaloes (Bubalus bubalis) and cows (Bos spp.) in Colombia by W. A. Barragán-Hernández, L. Mahecha-Ledesma, J. Angulo-Arizala, M. Olivera-Angel

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Erroneous Classification and Coding as a Limitation for Big Data Analyses: Causes and Impacts Illustrated by the Diagnosis of Clavicle Injuries by Robert Raché, Lara-Sophie Claudé, Marcus Vollmer, Lyubomir Haralambiev, Denis Gümbel, Axel Ekkernkamp, Martin Jordan, Stefan Schulz-Drost, Mustafa Sinan Bakir

“…The misclassification rate was 82.8% for initial medial fractures (<i>p</i> < 0.001), 42.5% for midshaft fractures (<i>p</i> < 0.001), and 34.2% for lateral fractures (<i>p</i> < 0.001). …”
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Comparative Evaluation of AI-Based Multi-Spectral Imaging and PCR-Based Assays for Early Detection of <i>Botrytis cinerea</i> Infection on Pepper Plants by Dimitrios Kapetas, Eleni Kalogeropoulou, Panagiotis Christakakis, Christos Klaridopoulos, Eleftheria Maria Pechlivani

“…The classifier achieved an overall accuracy of 87.42% with an F1-Score of 81.13%. The per-class F1-Scores for the three classes were 85.25%, 66.67%, and 78.26%, respectively. …”
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Evaluation of a Deep Learning Model for Automatic Detection of Schizophrenia Using EEG Signals by Swetha Padmavathi Polisetty, Radhamani Ellapparaj, Karthikeyan M P

“…The proposed deep learning network produced impressive classification accuracies of 99.33% and 98.49% for 10-fold cross-validation and random splitting methods, respectively. …”
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A Machine Learning-Based Classification of Immunogenic Cell Death Regulators and Characterisation of Immune Microenvironment in Acute Ischemic Stroke by Mengying Wang, Guolian Wei, Shaorui Gu, Zhengyuan Huo, Xue Han

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Classification of Green Bristle Grass, Yellow Foxtail and Chinese Pennisetum Seeds via HATR-FT-IR Combined with Chemometrics by Peng Yu, Cha-Yan Wan, Chang-Shun Wu, Jia-Ni Shou, Cun-Gui Cheng

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