Classification of Thyroid Nodules with Stacked Denoising Sparse Autoencoder by Zexin Li, Kaiji Yang, Lili Zhang, Chiju Wei, Peixuan Yang, Wencan Xu

“…Several commercial tests have been used for the classification of indeterminate thyroid nodules in cytology. …”
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Classification of the Quasifiliform Nilpotent Lie Algebras of Dimension 9 by Mercedes Pérez, Francisco P. Pérez, Emilio Jiménez

“…It is proved that the nullification of certain parameters or of parameter expressions divides the family into subfamilies such that any couple of them is nonisomorphic and any quasifiliform Lie algebra of dimension 9 is isomorphic to one of them. The iterative and exhaustive computation with Maple provides the classification, which divides the original family into 263 subfamilies, composed of 157 simple algebras, 77 families depending on 1 parameter, 24 families depending on 2 parameters, and 5 families depending on 3 parameters.…”
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Toward a Classification of Mixed-State Topological Orders in Two Dimensions by Tyler D. Ellison, Meng Cheng

“…Here, we take a step toward classifying mixed-state topological orders in two spatial dimensions by considering their (emergent) generalized symmetries. …”
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Lie Group Classification of a Generalized Lane-Emden Type System in Two Dimensions by Motlatsi Molati, Chaudry Masood Khalique

“…The aim of this work is to perform a complete Lie symmetry classification of a generalized Lane-Emden type system in two dimensions which models many physical phenomena in biological and physical sciences. …”
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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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Automatic MRI Image Classification Using Attention and Residual CNNs With Enhanced Image Denoising Filters by Suganya Athisayamani, A. Robert Singh, Faten Khalid Karim, Samih M. Mostafa

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Classification, Processing Procedures, and Market Demand of Chinese Biscuits and the Breeding of Special Wheat for Biscuit Making by Xin Hu, Lejia Hu, Jing Zheng, Junkang Rong

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Optimising deep learning models for ophthalmological disorder classification by S. Vidivelli, P. Padmakumari, C. Parthiban, A. DharunBalaji, R. Manikandan, Amir H. Gandomi

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Nudibranch Suborders Classification based on Densely Connected Convolutional Networks by Timothy Christyan, Safitri Yuliana Utama, Bagus Tri Yulianto Darmawan, Faisal Dharma Adhinata

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Hunger Solution: One-Dimensional and Multi-Dimensional Food Security Programs by Saada Reuveni

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Quand les questions en disent plus que les réponses : classification automatique des intentions dans les questions by Angèle Barbedette, Iris Eshkol-Taravella

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A Methodology for Clustering Items with Seasonal and Non-seasonal Demand Patterns for Inventory Management by Burak Kandemir

“…Volume classification is easily obtained by well-known Pareto approach while coefficient of variance is usu-ally used for variation dimension. …”
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Regression-Based Classification of the Middle-Latency Auditory-Evoked Potentials in Vestibular Migraine and Concussion Patients with Dizziness by Carolina Beppi, Daniel Agostino, Antonella Palla, Nina Feddermann-Demont, Julia Dlugaiczyk, Dominik Straumann

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Classification in Networked Data with Heterophily by Zhenwen Wang, Fengjing Yin, Wentang Tan, Weidong Xiao

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A Noble Classification Framework for Data Glove Classification of a Large Number of Hand Movements by Yuhuang Zheng

“…This paper addresses a new classification framework for 52 hand movements. This classification framework includes the following two parts: the movement detection algorithm and the movement classification algorithm. …”
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Efficient Method for Robust Backdoor Detection and Removal in Feature Space Using Clean Data by Donik Vrsnak, Marko Subasic, Sven Loncaric

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Rapid Classification and Treatment Algorithm of Cardiogenic Shock Complicating Acute Coronary Syndromes: The SAVE ACS Classification by Vasileios Panoulas, Charles Ilsley

“…A similar AUC was demonstrated in the validation cohort (AUC 0.815). Conclusions. …”
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Hybrid Method for Point Cloud Classification by Abdurrahman Hazer, Remzi Yildirim

“…Additionally, it demonstrates robust performance on the challenging ScanObjectNN dataset, with accuracies of 92% OA and 91.2% mAcc. …”
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A Co-Evolutionary Genetic Algorithm Approach to Optimizing Deep Learning for Brain Tumor Classification by Abdelmgeid A. Ali, Mohamed T. Hammad, Hassan S. Hassan

“…Experiments conducted on a Kaggle dataset demonstrate that CEGA-EfficientNetB3 achieved the highest accuracy of 99.39%, while CEGA-DenseNet121 attained 99.01%, both without data augmentation. …”
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An Efficient Detector for Automatic Tomato Classification Systems by Duy-Linh Nguyen, Xuan-Thuy Vo, Adri Priadana, Jehwan Choi, Kang-Hyun Jo

“…These results show that the proposed network is superior to others under a fixed set of experimental conditions. The video demonstration, datasets, weights, and models are available at <uri>https://bit.ly/3XdLrLM</uri>.…”
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