Divisive Refinement of Metal Fiber at the PM0.1 Classification Stage for PM0.5–0.1 Sampling with Nanosampler by Yuta Kurotsuchi, Kazuhiko Sekiguchi, Yohei Hayakawa

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Larger models yield better results? Streamlined severity classification of ADHD-related concerns using BERT-based knowledge distillation. by Ahmed Akib Jawad Karim, Kazi Hafiz Md Asad, Md Golam Rabiul Alam

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Investigating root and canal morphology of anterior and premolar teeth using CBCT with a novel coding classification system in Saudi subpopulation by Mohammed Mustafa, Mohmed Isaqali Karobari, Ali Abdullah Alwan Al-Maqtari, Abdulaziz Abdulwahed, Ahmed A. Almokhatieb, Laila S. Almufleh, Qamar Hashem, Abdullah Alsakaker, Mohammad Khursheed Alam, Hany Mohamed Aly Ahmed

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Breast cancers with neuroendocrine differentiation: Retrospective case studies series from a single institution based on the 2019 WHO classification by Youngkyung Jeon, Ji-Yeon Kim, Jin Seok Ahn, Young-Hyuck Im, Kyuehee Choi, Sun Young Jeong, Yeji Jung, Jaeyeon Jang, Dae-Ho Choi, Joohyun Hong, Hyo Jung Kim, Soo Youn Cho, Yeon Hee Park

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A novel aggregated coefficient ranking based feature selection strategy for enhancing the diagnosis of breast cancer classification using machine learning by E. Sreehari, L. D. Dhinesh Babu

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An explainable deep learning model for diabetic foot ulcer classification using swin transformer and efficient multi-scale attention-driven network by R. Karthik, Armaano Ajay, Anshika Jhalani, Kruthik Ballari, Suganthi K

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Diagnostic classification in toxicologic pathology using attention-guided weak supervision and whole slide image features: a pilot study in rat livers by Philip Zehnder, Jeffrey Feng, Trung Nguyen, Philip Shen, Ruth Sullivan, Reina N. Fuji, Fangyao Hu

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Diagnosis and Classification of Tuberculosis Chest X-ray Images of Children Less Than 15 years at Mbarara Regional Referral Hospital Using Deep Learning. by Kawuma, Simon, Kumbakumba, Elias, Mabirizi, Vicent, Nanjebe, Deborah, Mworozi, Kenneth, Mukama, Adolf Oyesigye, Kyasimire, Lydia

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A systematic assessment of sentiment analysis models on iraqi dialect-based texts by Hafedh Hameed Hussein, Amir Lakizadeh

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DATA MINING APPROACH FOR PREDICTING STUDENT PERFORMANCE by Edin Osmanbegović, Mirza Suljić

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Comparison of algorithms for the recognition of ChatGPT paraphrased texts by Aleksandar Kartelj, Miljana Mladenović, Staša Vujičić Stanković

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A New Diagnosing Method for Psoriasis From Exhaled Breath by Bilge Han Tozlu, Omer Faruk Akmese, Cemaleddin Simsek, Engin Senel

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Classification of risk for transmission of vaccine-preventable diseases in Brazilian municipalities: comparative analysis before and after the national movement for vaccination and... by Ana Catarina de Melo Araújo, Thales Philipe Rodrigues da Silva, Janaina Fonseca Almeida Souza, Krishna Mara Rodrigues Freire, Fernanda Penido Matozinhos, Eder Gatti Fernandes

“…Abstract Objective To analyze the classification of the risk of transmission of vaccine-preventable diseases in Brazilian municipalities before and after the National Movement for Vaccination and Multivaccination proposed by the Ministry of Health. …”
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Leucine-Rich Repeat Protein Family Regulates Stress Tolerance and Development in Plants by Hao Zhiqi, Wang Tingyi, Chen Dongdong, Shen Lan, Zhang Guangheng, Qian Qian, Zhu Li

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Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipel... by Nalinda D. Liyanagedera, Corinne A. Bareham, Heather Kempton, Hans W. Guesgen

“…At the same time, the highest mean classification accuracy for the 12 participants was achieved using the pipeline with the combination of CSP STFT algorithm, reaching 75.5% for LKM-Self/ non-meditation for the case of 5 sessions of data. …”
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A rare case of renal cystic oncocytoma: Case report by Mohamed Lameir, Ahmed Mustafa, Jouhar Kolleri, Akram Twair, Mohammed Akhtar, Sali Alatasi

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Research on Wood Defects Feature Imbalance Optimization and Recognition by Xiao Wang

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Machine learning for classifying chronic kidney disease and predicting creatinine levels using at-home measurements by Brady Metherall, Anna K. Berryman, Georgia S. Brennan

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Development of an mPBPK machine learning framework for early target pharmacology assessment of biotherapeutics by Krutika Patidar, Nikhil Pillai, Saroj Dhakal, Lindsay B. Avery, Panteleimon D. Mavroudis

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The incidence rate of caries on individual tooth surfaces and its distribution by age and gender in clinic patients of Hawler Medical University/College of Dentistry: a retrospecti... by Niaz Hamaghareeb Hamasaeed, Eman Kanabi Mohammed, Kazhin Mahmood Omer, Rayan Amir Bapir

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