Automatic Characterization of Prostate Suspect Lesions on T2-Weighted Image Acquisitions Using Texture Features and Machine-Learning Methods: A Pilot Study by Teodora Telecan, Cosmin Caraiani, Bianca Boca, Roxana Sipos-Lascu, Laura Diosan, Zoltan Balint, Raluca Maria Hendea, Iulia Andras, Nicolae Crisan, Monica Lupsor-Platon

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Improving End-Point Position Control in Hydraulic Testing Machines with a Fuzzy Logic Based Approach by Serkan Anlak, Ekrem Düven

Subjects: “…hydraulic testing machines…”
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Uncovering glycolysis-driven molecular subtypes in diabetic nephropathy: a WGCNA and machine learning approach for diagnostic precision by Chenglong Fan, Guanglin Yang, Cheng Li, Jiwen Cheng, Shaohua Chen, Hua Mi

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A SPECIALTY LITERATURE REVIEW OF THE PREDICTIVE MAINTENANCE SYSTEMS by DRAGOS-ALEXANDRU ANDRIOAIA, VASILE GHEORGHITA GAITAN

Subjects: “…predictive maintenance, PdM, RUL prediction, defect identification, IoT, machine learning…”
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Modelling and optimization of a machine production process: Buffer stock supply implementation and replenishment control by Elbaraka Saad, Mokhlis Salah-eddine, Barra Adil, Fouraiji Hicham

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Random non-proportional fatigue tests with planar tri-axial fatigue testing machine by T. Inoue, R. Nagao, N. Takeda

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Integrating Machine Learning for Predictive Maintenance on Resource-Constrained PLCs: A Feasibility Study by Riccardo Mennilli, Luigi Mazza, Andrea Mura

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Explainable machine learning model for predicting decline in platelet count after interventional closure in children with patent ductus arteriosus by Song-Yue Zhang, Yi-Dong Zhang, Hao Li, Qiao-Yu Wang, Qiao-Fang Ye, Xun-Min Wang, Tian-He Xia, Yue-E He, Xing Rong, Ting-Ting Wu, Rong-Zhou Wu

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Analysis of Sparse Trajectory Features Based on Mobile Device Location for User Group Classification Using Gaussian Mixture Model by Yohei Kakimoto, Yuto Omae, Hirotaka Takahashi

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Artificial intelligence in dentistry—A review by Hao Ding, Jiamin Wu, Wuyuan Zhao, Jukka P. Matinlinna, Jukka P. Matinlinna, Michael F. Burrow, James K. H. Tsoi

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Own Experience in the Use of Artificial Intelligence Technologies in the Diagnosis of Esophageal Achalasia by O. A. Storonova, N. I. Kanevskii, A. S. Trukhmanov, V. T. Ivashkin

Subjects: “…machine learning…”
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Evaluation of machine learning-based regression techniques for prediction of diabetes levels fluctuations by Badriah Alkalifah, Muhammad Tariq Shaheen, Johrah Alotibi, Tahani Alsubait, Hosam Alhakami

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Machine Learning Applications to Dust Storms: A Meta-Analysis by Reem K. Alshammari, Omer Alrwais, Mehmet Sabih Aksoy

Subjects: “…Machine learning…”
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FAULT DIAGNOSIS METHOD OF ROLLING BEARING BASED ON EEMD-CNN by LI SiQi, JIANG ZhiJian

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Behavior authentication of Web users based on machine learning by Zenan WU, Liqin TIAN, Zhigang WANG

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Predictive modeling of air quality in the Tehran megacity via deep learning techniques by Abdullah Kaviani Rad, Mohammad Javad Nematollahi, Abbas Pak, Mohammadreza Mahmoudi

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A decision support system based on classification algorithms for the diagnosis of periodontal disease by Abdulrahman Alshehri, Mohammed Dahman, Mousa Assiri, Abdulkarim Alshehri, Sharifah Alqahtani, Mohammed Shaiban, Bashyer Alqahtani, Sabah Althbyani, Hatem Alhefdi, Khalid Hakami, Abdulbari Ali, Abdullah Saeed

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A novel lightweight Machine Learning framework for IoT malware classification based on matrix block mean Downsampling by Mahmoud E. Farfoura, Ibrahim Mashal, Ahmad Alkhatib, Radwan M. Batyha, Didi Rosiyadi

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Ultrasonic fatigue testing device under biaxial bending by C. Brugger, T. Palin-Luc, P. Osmond, M. Blanc

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Statistical Insights Into Machine Learning-Based Box Models for Pregnancy Care and Maternal Mortality Reduction: A Literature Survey by Issac Neha Margret, K. Rajakumar, K. V. Arulalan, S. Manikandan, Valentina

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