검색어 : 통합검색[Introduction to deep learning :]
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851
- RNN- and CNN-based weed detection for crop improvement: An overview
- Jabir, Brahim; Rabhi, Loubna; Falih, Noureddine; Sultan Moulay Slimane University; Sultan Moulay Slimane University; Sultan Moulay Slimane University; (Foods and raw materials, v.9, 2021, pp.387-396)
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852
- White matter injury detection based on preterm infant cranial ultrasound images
- Zhu, Juncheng; Yao, Shifa; Yao, Zhao; Yu, Jinhua; Qian, Zhaoxia; Chen, Ping; School of Information Science and Technology , Fudan University , Shanghai , China; Ultrasound Department , The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai JiaoTong University , Shanghai , China; School of Information Science and Technology , Fudan University , Shanghai , China; School of Information Science and Technology , Fudan University , Shanghai , China; Radiology Department , The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai JiaoTong University , Shanghai , China; Ultrasound Department , The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai JiaoTong University , Shanghai , China; (Frontiers in pediatrics, v.11, 2023, pp.1144952)
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853
- A review on AI-based medical image computing in head and neck surgery
- Xu, Jiangchang; Zeng, Bolun; Egger, Jan; Wang, Chunliang; Smedby, Ö rjan; Jiang, Xiaoyi; Chen, Xiaojun; ; (Physics in medicine & biology, v.67, 2022, pp.17TR01)
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854
- PROTOTIPE APLIKASI PENGENALAN WAYANG KULIT MENGGUNAKAN CNN BERBASIS VGG16
- Prabowo, Dwi Puji; Ullumudin, D.I.I; Pramunendar, R.A.; ; (Jurnal informatika upgris, v.7, 2021, )
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855
- Predictive Maintenance in Manufacturing: Deep Learning for Fault Detection in Mechanical Systems.
- Mohan Raparthi Et al.; ; (Dandao Xuebao/Journal of Ballistics, v.35, 2023, pp.59-66)
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856.
- 머신러닝 기법을 이용한 DNA 메틸화와 게놈 인핸서 예측 연구
- 카날자빈드라
- 전북대학교 일반대학원, 국내박사, xviii, 126 p., 2021
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857
- Automatic diagnosis of severity of COVID-19 patients using an ensemble of transfer learning models with convolutional neural networks in CT images
- Shalbaf, Ahmad; Gifani, Parisa; Mehri-Kakavand, Ghazal; Pursamimi, Mohamad; Ghorbani, Mahdi; Davanloo, Amirhossein Abbaskhani; Vafaeezadeh, Majid; Biomedical Engineering and Medical Physics Department, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran; Department of Medical Physics, School of Medicine, Semnan University of Medical Sciences, Semnan, Iran; Department of Medical Physics, School of Medicine, Semnan University of Medical Sciences, Semnan, Iran; Department of Radiology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran; School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran; (Polish journal of medical physics and engineering : official publication of the Polish Society of Medical Physics, v.28, 2022, pp.117-126)
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858
- Abstract 18317: Implications of Noise on Deep Learning Models for 12-Lead ECG Construction
- Jain, Utkars; Leasure, Michael; Butchy, Adam; Covalesky, Veronica A; Mintz, Gary S; Heart Input Output Inc., Pittsburgh, PA; Heart Input Output, Inc., Pottstown, PA; Heart Input Output Inc., Pittsburgh, PA; Cardiology Consultants of Philadelphia, Philadelphia, PA; Cardiovascular Rsch Foundation, New York, NY; (Circulation, v.148, 2023, )
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859
- Use of Deep Learning Networks and Statistical Modeling to Predict Changes in Mechanical Parameters of Contaminated Bone Cements
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Machrowska, Anna;
Szabelski, Jakub;
Karpiń
ski, Robert;
Krakowski, Przemysław;
Jonak, Jó
zef;
Jonak, Kamil;
Department of Machine Design and Mechatronics, Faculty of Mechanical Engineering, Lublin University of Technology, Nadbystrzycka 36, 20-618 Lublin, Poland;
a.machrowska@pollub.pl (A.M.);j.jonak@pollub.pl (J.J.); Section of Biomedical Engineering, Department of Computerization and Production Robotization, Faculty of Mechanical Engineering, Lublin University of Technology, Nadbystrzycka 36, 20-618 Lublin, Poland; Department of Machine Design and Mechatronics, Faculty of Mechanical Engineering, Lublin University of Technology, Nadbystrzycka 36, 20-618 Lublin, Poland;a.machrowska@pollub.pl (A.M.);j.jonak@pollub.pl (J.J.); Chair and Department of Traumatology and Emergency Medicine, Medical University of Lublin, Staszica 11, 20-081 Lublin, Poland;przemyslaw.krakowski84@gmail.com ; Department of Machine Design and Mechatronics, Faculty of Mechanical Engineering, Lublin University of Technology, Nadbystrzyc; (Materials, v.13, 2020, pp.5419)
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860
- Antivirals for monkeypox virus: Proposing an effective machine/deep learning framework
- Hashemi, Morteza; Zabihian, Arash; Hajsaeedi, Masih; Hooshmand, Mohsen; ; (PLoS ONE, v.19, 2024, pp.e0299342)
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