Search Results - "machines"

Twin-Control A Digital Twin Approach to Improve Machine Tools Lifecycle

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Intelligent Sensor Networks The Integration of Sensor Networks, Signal Processing and Machine Learning

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Intelligent Sensor Networks The Integration of Sensor Networks, Signal Processing and Machine Learning

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Distributional Reinforcement Learning by Bellemare, Marc G.

Subjects: “…Machine learning bicssc…”
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Proceedings of the 2019 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory

Subjects: “…machine vision…”
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Proceedings of the 2019 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory

Subjects: “…machine vision…”
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Grasping the Future: Advances in Powered Upper Limb Prosthetics

Subjects: “…Robotics, Human-machines interaction, Upper limb powered prosthesis, Prosthesis mechanics, Prosthesis control, Prosthetic rehabilitation, Evaluation of prosthesis clinical applications, Prosthesis…”
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Grasping the Future: Advances in Powered Upper Limb Prosthetics

Subjects: “…Robotics, Human-machines interaction, Upper limb powered prosthesis, Prosthesis mechanics, Prosthesis control, Prosthetic rehabilitation, Evaluation of prosthesis clinical applications, Prosthesis…”
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Therapeutic Efficacy of a Formulation Prepared with <i>Linum usitatissimum</i> L., <i>Plantago ovata</i> Forssk., and Honey on Uncomplicated Pelvic Inflammatory Disease Analyzed with Machine Learning Techniques by Sana Qayyum, Arshiya Sultana, Md Belal Bin Heyat, Khaleequr Rahman, Faijan Akhtar, Amin ul Haq, Batool Abdulelah Alkhamis, Mohammed Aedh Alqahtani, Reem M. Gahtani

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Implementation of Flag, Identify, Network, Deliver (FIND FH) Machine Learning Algorithm: A Quality Improvement Initiative to Perform Targeted Screening for Familial Hypercholesterolemia within a Single Healthcare System by Samip Sheth, Paul Lee, MS, Archna Bajaj, MD, Marina Cuchel, MD, Jihane Hajj DrNP, Daniel Soffer, MD, Gayley Webb, MD, Erik Hossain, BS, Yulia Borovskiy, MS, Marjorie Risman, MA, Kelly Myers, BS, Katherine Wilemon, BS, Dan Rader, MD, Douglas Jacoby, MD

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ADRB2 serves as a novel biomarker and attenuates alcoholic hepatitis via the SIRT1/PGC-1α/PPARα pathway: integration of WGCNA, machine learning and experimental validation by Li Song, Li Song, Shuo Huang, Honghao Yan, Qing Ma, Qihan Luo, Jiang Qiu, Minxia Chen, Zongyuan Li, He Jiang, Yufan Chen, Fangming Chen, Yu Du, Haozhe Fu, Lisha Zhao, Kanglu Zhao, Kanglu Zhao, Ping Qiu

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It takes more than a machine: A pilot feasibility study of point-of-care HIV-1 viral load testing at a lower-level health center in rural western Uganda. by Ross M Boyce, Ronnie Ndizeye, Herbert Ngelese, Emmanuel Baguma, Bwambale Shem, Rebecca J Rubinstein, Emmanuel Rockwell, Sarah C Lotspeich, Bonnie E Shook-Sa, Moses Ntaro, Dan Nyehangane, David A Wohl, Mark J Siedner, Edgar M Mulogo

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Association between household income levels and nutritional intake of allergic children under 6 years of age in Korea: 2019 Korea National Health and Nutrition Examination Survey and application of machine learning by Seungpil Jeong, Yean Jung Choi

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Management and Treatment of Patients With Obstructive Sleep Apnea Using an Intelligent Monitoring System Based on Machine Learning Aiming to Improve Continuous Positive Airway Pressure Treatment Compliance: Randomized Controlled Trial by Cecilia Turino, Ivan D Benítez, Xavier Rafael-Palou, Ana Mayoral, Alejandro Lopera, Lydia Pascual, Rafaela Vaca, Anunciación Cortijo, Anna Moncusí-Moix, Mireia Dalmases, Eloisa Vargiu, Jordi Blanco, Ferran Barbé, Jordi de Batlle

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SENAM AEROBIC EXERCISER CHI MACHINE LEBIH EFEKTIF DARIPADA BERSEPEDA STATIS MENURUNKAN KADAR GULA DARAH PADA PASIEN DIABETES MELLITUS TIPE II DI PUSKESMAS MENGWI III by I Wayan Surasta, Ketut Tirtayasa, I Putu Gede Adiatmika

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Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study by Pryss, Rüdiger, Schlee, Winfried, Hoppenstedt, Burkhard, Reichert, Manfred, Spiliopoulou, Myra, Langguth, Berthold, Breitmayer, Marius, Probst, Thomas

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Minimizing Selection and Classification Biases. Comment on "Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing" by Martos Pérez, Francisco, Gomez Huelgas, Ricardo, Martín Escalante, María Dolores, Casas Rojo, José Manuel

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Machine learning-based prediction of composite risk of cardiovascular events in patients with stable angina pectoris combined with coronary heart disease: development and validation of a clinical prediction model for Chinese patients by Zihan Wang, Ziyi Sun, Linghua Yu, Zhitian Wang, Lin Li, Xiaoyan Lu

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PENGARUH LATIHAN FRONT KICK KINESIS MACHINE DAN LATIHAN DEPTH JUMP TERHADAP PENINGKATAN POWER OTOT TUNGKAI DAN HASIL TENDANGAN LONG PASS DALAM PERMAINAN SEPAK BOLA by Permana, Yudi Galih

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EKSTRAKSI CIRI LOCAL BINARY PATTERN (LBP) DAN GRAY LEVEL CO-OCCURRENCE MATRIX (GLCM) PADA KASUS MOTIF BATIK YOGYAKARTA DENGAN PENGKLASIFIKASI SUPPORT VECTOR MACHINE (SVM) by Ndaru Aji Laksono,

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