Noise Reduction in CWRU Data Using DAE and Classification with ViT by Jun-gyo Jang, Soon-sup Lee, Se-yun Hwang, Jae-chul Lee

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Quantifying global energy resilience and its carbon reduction effect: The role of technological innovation by Ruquan Lu, Xiaomeng Zhao, Guixian Liu

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The Impact of Managerial Overconfidence on Expenses Classification Shifting: The Moderating Role of Comparability of Financial Statements by Farshid Riahi Dorcheh, Iraj Torabi

“…The purpose of the present study is to investigate the impact of managerial overconfidence on expense classification shifting based on the moderating role of the comparability of financial statements. …”
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Low-Complexity Microclimate Classification in Smart Greenhouses: A Fuzzy-Neural Approach by Cristian Bua, Francesco Fiorini, Michele Pagano, Davide Adami, Stefano Giordano

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Diagnostic Predictors of Recovery Outcomes Following Open Reduction and Internal Fixation for Tibial Plateau Fractures: A Retrospective Study Based on the Schatzker Classification by Carlo Biz, Carla Stecco, Samuele Perissinotto, Xiaoxiao Zhao, Raffaele Ierardi, Luca Puce, Filippo Migliorini, Nicola Luigi Bragazzi, Pietro Ruggieri

“…This study examines the role of diagnostic predictors in differentiating recovery trajectories in two groups of patients treated for closed TPFs by open reduction and internal fixation (ORIF), comparing patients with less severe fractures and patients with more severe fractures (BCFs). …”
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Joint feature selection and classification of low-resolution satellite images using the SAT-6 dataset by Rajalaxmi Padhy, Sanjit Kumar Dash, Jibitesh Mishra

“…The extracted information also plays a crucial role in national security and the mapping of geographical locations. …”
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Timeseries Fault Classification in Power Transmission Lines by Non-Intrusive Feature Extraction and Selection Using Supervised Machine Learning by Rab Nawaz, Hani A. Albalawi, Syed Basit Ali Bukhari, Khawaja Khalid Mehmood, Muhammad Sajid

“…This paper presents a supervised machine learning approach using eight popular classifiers for fault classification in power transmission lines. The classification of faults, indicated by the behavior of the electrical signals associated with them, plays a pivotal role in maintaining the reliability, stability, and security of electrical grids. …”
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Linear Dimensionality Reduction: What Is Better? by Mohit Baliyan, Evgeny M. Mirkes

“…This research paper focuses on dimensionality reduction, which is a major subproblem in any data processing operation. …”
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Classifications of peripheral retinal dystrophies by O.M. Stanishevskaya, M.A. Glock, M.A. Safronova, A.I. Belyaeva, D.V. Chernykh

“…Retinal detachment is a severe pathology leading to a significant reduction or loss of vision. Peripheral retinal dystrophies play a leading role in the development of retinal detachment. …”
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Machine Learning-Based Acoustic Analysis of Stingless Bee (<i>Heterotrigona itama</i>) Alarm Signals During Intruder Events by Ashan Milinda Bandara Ratnayake, Hartini Mohd Yasin, Abdul Ghani Naim, Rahayu Sukmaria Sukri, Norhayati Ahmad, Nurul Hazlina Zaini, Soon Boon Yu, Mohammad Amiruddin Ruslan, Pg Emeroylariffion Abas

“…Guard bees play a critical role in colony defense, exhibiting the ability to discriminate between nestmates and non-nestmates and employing strategies such as pheromone release, buzzing, hissing, and vibrations to alert and recruit hive mates during intrusions. …”
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Association Rule-Based Feature Mining for Automated Fault Diagnosis of Rolling Bearing by Yuan Li, Jinjiang Wang, Lixiang Duan, Tangbo Bai, Xuduo Wang, Yulong Zhang, Guoliang Qin

“…Experimental study on a bearing test reveals that the proposed method can generate a series of underlying association rules for bearing fault diagnosis, and the related features selected by the proposed method can be used directly to analyze bearing signals for fault classification and defect severity identification. …”
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Enhanced Category-Feature Association Measure by Soran S. Badawi, Ari M. Saeed, Sara A. Ahmed, Diyari A. Hassan

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Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation by Leondry Mayeta-Revilla, Leondry Mayeta-Revilla, Leondry Mayeta-Revilla, Leondry Mayeta-Revilla, Eduardo P. Cavieres, Eduardo P. Cavieres, Eduardo P. Cavieres, Matías Salinas, Matías Salinas, Matías Salinas, Diego Mellado, Diego Mellado, Diego Mellado, Diego Mellado, Sebastian Ponce, Sebastian Ponce, Sebastian Ponce, Sebastian Ponce, Francisco Torres Moyano, Francisco Torres Moyano, Francisco Torres Moyano, Francisco Torres Moyano, Steren Chabert, Steren Chabert, Steren Chabert, Marvin Querales, Marvin Querales, Julio Sotelo, Rodrigo Salas, Rodrigo Salas, Rodrigo Salas

“…Although Deep Learning (DL) models offer strong performance in tumor detection and segmentation using MRI, their black-box nature hinders clinical adoption due to a lack of interpretability.MethodsWe present a hybrid AI framework that integrates a 3D U-Net Convolutional Neural Network for MRI-based tumor segmentation with radiomic feature extraction. Dimensionality reduction is performed using machine learning, and an Adaptive Neuro-Fuzzy Inference System (ANFIS) is employed to produce interpretable decision rules. …”
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Improving Voice Spoofing Detection Through Extensive Analysis of Multicepstral Feature Reduction by Leonardo Mendes de Souza, Rodrigo Capobianco Guido, Rodrigo Colnago Contreras, Monique Simplicio Viana, Marcelo Adriano dos Santos Bongarti

“…Voice biometric systems play a critical role in numerous security applications, including electronic device authentication, banking transaction verification, and confidential communications. …”
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Enhanced Medical Image Classification Using LSA and PCA in CNN by Suhaifa S Thasneem, Mukthar Hussain S Faizal, R Karthikeyan, Yousuf T Sheik, Begum B Rasina, Uveise S A Mohammed

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Transformer-based ECG classification for early detection of cardiac arrhythmias by Sunnia Ikram, Amna Ikram, Harvinder Singh, Malik Daler Ali Awan, Sajid Naveed, Isabel De la Torre Díez, Henry Fabian Gongora, Thania Candelaria Chio Montero

“…Electrocardiogram (ECG) classification plays a critical role in early detection and trocardiogram (ECG) classification plays a critical role in early detection and monitoring cardiovascular diseases. …”
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Medical image classification by incorporating clinical variables and learned features by Jiahui Liu, Xiaohao Cai, Mahesan Niranjan

“…Medical image classification plays an important role in medical imaging. …”
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Comparison of Detection and Classification Algorithms Using Boolean and Fuzzy Techniques by Rahul Dixit, Harpreet Singh

“…Modern military ranging, tracking, and classification systems are capable of generating large quantities of data. …”
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Enhancing Security in Industrial IoT Networks: Machine Learning Solutions for Feature Selection and Reduction by Ahmad Houkan, Ashwin Kumar Sahoo, Sarada Prasad Gochhayat, Prabodh Kumar Sahoo, Haipeng Liu, Syed Ghufran Khalid, Prince Jain

“…The article emphasizes the critical role of feature engineering, with a specific focus on feature selection and reduction, and elaborates on applying MRMR and PCA algorithms to various feature sets. …”
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Breast asymmetry: literature review and a new proposal for clinical classification by Gladstone Eustáquio de Lima Faria, Dov Charles Goldenberg, Ricardo Frota Boggio

“…Based on the clinical findings, a treatment algorithm was created for each subtype of asymmetry, including in this arsenal, breast implants of different volumes, mastopexies, reduction mammoplasty, and fat grafting. It is important to emphasize that breast asymmetry is the rule and not the exception, therefore, it is a reason for patient dissatisfaction and a challenge for the plastic surgeon.…”
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