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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

    Published 2024-11-01
    “…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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    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

    Published 2025-05-01
    “…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

    Published 2025-09-01
    “…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

    Published 2024-01-01
    “…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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    Classifications of peripheral retinal dystrophies by O.M. Stanishevskaya, M.A. Glock, M.A. Safronova, A.I. Belyaeva, D.V. Chernykh

    Published 2023-09-01
    “…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

    Published 2025-03-01
    “…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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    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

    Published 2025-08-01
    “…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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    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

    Published 2025-08-01
    “…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

    Published 2025-03-01
    “…Medical image classification plays an important role in medical imaging. …”
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    Article
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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

    Published 2024-01-01
    “…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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    Study on carbon emission accounting and emission reduction path of coal production in coal mine by Xinbo GU, Weidong PAN, A SIhaer Niyazibieke, ‌Zhining ZHAO, Shaohua FENG, Yiwei LI, Jie HUANGFU, Xiaohua WU

    Published 2025-06-01
    “…Choosing the appropriate carbon emission calculation model and scientific emission reduction strategy plays a vital role in optimizing the carbon emission management of the coal industry and promoting the green and low-carbon transformation of China’s coal industry.Clarifying the characteristics of carbon emissions in underground coal mines is the premise and basis for achieving the goal of “double carbon” in underground coal mines. …”
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    Efficient Classification and Rapid Processing of Big Data in Power Distribution Networks by Luan Ning, Cheng Li, Wang Dingji, Wang Shuaimei

    Published 2024-01-01
    “…Grid data management technology has taken as a pivotal role in power system operation. However, with escalating complexity and scale, the effective management of grid data has emerged as a formidable challenge. …”
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    Implementation and Performance Evaluation of Quantum Machine Learning Algorithms for Binary Classification by Surajudeen Shina Ajibosin, Deniz Cetinkaya

    Published 2024-11-01
    “…These findings suggest that QML holds potential for improving computational efficiency in binary classification tasks. This opens the way for more efficient and scalable solutions in complex classification challenges and shows the complementary role of quantum computing.…”
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    Feature Selection Using Pearson Correlation for Ultra-Wideband Ranging Classification by Gita Indah Hapsari, Rendy Munadi, Bayu Erfianto, Indrarini Dyah Irawati

    Published 2025-03-01
    “…The Random Forest and Gradient Boosting models exhibit superior performance, maintaining classification accuracy above 90%. The reduction in computational overhead makes the proposed approach highly suitable for real-time applications, particularly in edge-computing environments where processing efficiency is critical. …”
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    Multi-Camera Machine Learning for Salt Marsh Species Classification and Mapping by Marco Moreno, Sagar Dalai, Grace Cott, Ben Bartlett, Matheus Santos, Tom Dorian, James Riordan, Chris McGonigle, Fabio Sacchetti, Gerard Dooly

    Published 2025-06-01
    “…Accurate classification of salt marsh vegetation is vital for conservation efforts and environmental monitoring, particularly given the critical role these ecosystems play as carbon sinks. …”
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