Feature derivation and classification of auditory-motor coupling dynamics in healthy and neurologically impaired adults. by Muhammad Bergas Nur Fayyad, Joeri R Verbiest, Anna Ivanova, Mario Manto, Lousin Moumdjian

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Blood Vessel Segmentation and Classification of Diabetic Retinopathy with Machine Learning-Based Ensemble Model by Cihan Akyel, Bünyamin Ciylan

“…A Dice coefficient of 85.95% was achieved for the segmentation of blood vessels in the Stare dataset, in addition to 97.46% accuracy for binary classification and 96.10% accuracy for classifying DR into five classes in the dataset APTOS 2019.…”
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Intensive Cold-Air Invasion Detection and Classification with Deep Learning in Complicated Meteorological Systems by Ming Yang, Hao Ma, Bomin Chen, Guangtao Dong

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Orthogonal Capsule Network with Meta-Reinforcement Learning for Small Sample Hyperspectral Image Classification by Prince Yaw Owusu Amoako, Guo Cao, Boshan Shi, Di Yang, Benedict Boakye Acka

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Classification of Resting-State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG) by Ahmed M. A. Mohamed, Osman N. Uçan, Oğuz Bayat, Adil Deniz Duru

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An Adaptive Scalable Data Pipeline for Multiclass Attack Classification in Large-Scale IoT Networks by Selvam Saravanan, Uma Maheswari Balasubramanian

“…The proposed approach is evaluated with the latest dataset, IoT23, which consists of benign and several attack instances from various IoT devices. Attack classification accuracy is improved from 97.8% to 99.46% by the proposed system. …”
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Utility of complexity analysis in electroencephalography and electromyography for automated classification of sleep-wake states in mice by Naoki Furutani, Yuki C. Saito, Yasutaka Niwa, Yu Katsuyama, Yuta Nariya, Mitsuru Kikuchi, Tetsuya Takahashi, Takeshi Sakurai

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Automatic Detection of Cracks in Cracked Tooth Based on Binary Classification Convolutional Neural Networks by Juncheng Guo, Yuyan Wu, Lizhi Chen, Guanghua Ge, Yadong Tang, Wenlong Wang

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A Novel Active Learning Technique for Fetal Health Classification Based on XGBoost Classifier by Kaushal Bhardwaj, Niyati Goyal, Bhavika Mittal, Vandna Sharma, Shiv Naresh Shivhare

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Robust Forest Sound Classification Using Pareto-Mordukhovich Optimized MFCC in Environmental Monitoring by Ahmad Qurthobi, Robertas Damasevicius, Vytautas Barzdaitis, Rytis Maskeliunas

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Classification and prognostic evaluation of ameloblastoma using multiplanar CT imaging: a retrospective analysis by Jo-Eun Kim, Jun-Bum Cho, Won-Jin Yi, Min-Suk Heo, Sam-Sun Lee, Kyung-Hoe Huh

“…The CT scan demonstrated that 46.3% of the ameloblastomas were pseudo-multilocular, 29.4% were unilocular, and 24.3% were multilocular. …”
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Cognitive load detection through EEG lead wise feature optimization and ensemble classification by Jammisetty Yedukondalu, Kalyani Sunkara, Vankayalapati Radhika, Sivakrishna Kondaveeti, Murali Anumothu, Yadadavalli Murali Krishna

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A Novel Convolutional Neural Network-Based Approach for Fault Classification in Photovoltaic Arrays by Farkhanda Aziz, Azhar Ul Haq, Shahzor Ahmad, Yousef Mahmoud, Marium Jalal, Usman Ali

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Recognition of Hand Gestures Using Image with Histogram Feature Extraction and Euclidean Distance Classification Method by Yenni Astuti, Sudaryanto Sudaryanto, Indah Dwi Ariyanti

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NOVEL MULTI-MODAL OBSTRUCTION MODULE FOR DIABETES MELLITUS CLASSIFICATION USING EXPLAINABLE MACHINE LEARNING by Reehana SHAIK, Ibrahim SIDDIQUE

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Classification of the Crystal Structures of Orthosilicate Cathode Materials for Li-Ion Batteries by Artificial Neural Networks by Mookala Premasudha, Bhumi Reddy Srinivasulu Reddy, Kwon-Koo Cho, Ahn Hyo-Jun, Jae-Kyung Sung, Nagireddy Gari Subba Reddy

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A machine learning approach for vocal fold segmentation and disorder classification based on ensemble method by S. M. Nuruzzaman Nobel, S. M. Masfequier Rahman Swapno, Md. Rajibul Islam, Mejdl Safran, Sultan Alfarhood, M. F. Mridha

“…Integrating VF segmentation and disease classification into a single system is challenging but important for precise diagnostics. …”
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Reliability and validity of the International Classification of Functioning，Disability and Health Rehabilitation set in the Rehabilitation of Knee Osteoarthritis by LEI Lei, PENG Zhizhou, GAO Mingyue, LI Fei, MAO Ningning, WU Xi, XIAO Chengcheng, XUN Yajing, ZHAO Suchen, FAN Xiaojun

“…Objective To discussed the reliability and validity of the "International Classification of Functioning, Disability and Health Rehabilitation Set" （ICF-RS） in assessing the functional status of body function, activity and participation in patients with knee osteoarthritis （KOA）. …”
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Hierarchical 2-D/3-D Object-Based Classification of Photogrammetric Textured Mesh Models by Zhongwen Hu, Jinhua Zhang, Zhigang Liu, Yinghui Zhang, Jingzhe Wang, Qian Zhang, Guofeng Wu

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Feasibility of the International Caries Classification and Management System (ICCMS) Protocol in a Hospital-Based Setting in India by Imam Azam, Vijay P. Mathur, Nitesh Tewari, Rahul Morankar, Kalpana Bansal, Anju Rajwar

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