Lateral Polydactyly of the Foot: Surgical Outcomes Based on a New Classification by Junko Otsuka, MD, Emiko Horii, MD, Shukuki Koh, MD, Hiroki Takeshige, MD

“…The objective of this study was to propose a novel classification for lateral polydactyly of the foot that integrates both visual appearance and radiographic findings and to delineate surgical techniques and their outcomes based on this classification. …”
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Automatic Classification of Microseismic Signals Based on MFCC and GMM-HMM in Underground Mines by Pingan Peng, Zhengxiang He, Liguan Wang

“…The results show that our proposed method obtains an accuracy of 92.46%, which demonstrates the effectiveness of the method for automatic classification of microseismic data in underground mines.…”
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The Toulouse–Kleman homotopic classification of topological defects in ordered systems illustrated by experiments by Pieranski, Pawel, Godinho, Maria Helena

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Rule-Based Classification Based on Ant Colony Optimization: A Comprehensive Review by Sayed Kaes Maruf Hossain, Sajia Afrin Ema, Hansuk Sohn

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Fourier or Wavelet bases as counterpart self-attention in spikformer for efficient visual classification by Qingyu Wang, Qingyu Wang, Duzhen Zhang, Xinyuan Cai, Tielin Zhang, Bo Xu

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Temporal integration of ResNet features with LSTM for enhanced skin lesion classification by Sasmita Padhy, Sachikanta Dash, Naween Kumar, Shailendra Pratap Singh, Gyanendra Kumar, Poonam Moral

“…The precise classification of skin lesions is essential for the early identification and efficient treatment of skin cancer. …”
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Relationship between Cognitive Learning Psychological Classification and Neural Network Design Elements by Xing Yang, Tingjun Yong, Meihua Li, Wenying Wang, Huichun Xie, Jinping Du

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Impact of Dataset Size on 3D CNN Performance in Intracranial Hemorrhage Classification by Chun-Chao Huang, Hsin-Fan Chiang, Cheng-Chih Hsieh, Bo-Rui Zhu, Wen-Jie Wu, Jin-Siang Shaw

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Vegetation Classification in a Mountain–Plain Transition Zone in the Sichuan Basin, China by Wenqian Bai, Zhengwei He, Yan Tan, Guy M. Robinson, Tingyu Zhang, Xueman Wang, Li He, Linlong Li, Shuang Wu

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Skin Lesion Classification Through Test Time Augmentation and Explainable Artificial Intelligence by Loris Cino, Cosimo Distante, Alessandro Martella, Pier Luigi Mazzeo

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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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