Search Results

A novel cross-domain identification method for bridge damage based on recurrence plot and convolutional neural networks.

• Authors : Luo, Boju; Wei, Qingyang; Hu, Shuigen

• Source: Journal of Vibroengineering. August, 2024, Vol. 26 Issue 5, p1040, 22 p.

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Detection of C-shaped mandibular second molars on panoramic radiographs using deep convolutional neural networks.

• Authors : Jin L; Department of Radiology, Ninth People's Hospital of Suzhou, Soochow University, Suzhou, China.; Zhou W

Subjects: Radiography, Panoramic* ; Cone-Beam Computed Tomography*/Cone-Beam Computed Tomography*/Cone-Beam Computed Tomography*/methods ; Neural Networks, Computer*

• Source: Clinical oral investigations [Clin Oral Investig] 2024 Nov 18; Vol. 28 (12), pp. 646. Date of Electronic Publication: 2024 Nov 18.Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 9707115 Publication Model: Electronic Cited Medium: Internet ISSN: 1436-3771

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Forensic bone age assessment of hand and wrist joint MRI images in Chinese han male adolescents based on deep convolutional neural networks.

• Authors : Zhou HM; Academy of Forensic Science, Shanghai Key Laboratory of Forensic Medicine (21DZ2270800), Shanghai Forensic Service Platform, Key Laboratory of Forensic Science, Ministry of Justice, 1347 GuangFu West Road, Shanghai, 200063, China.; School of Forensic Medicine, Shanxi Medical University, Jinzhong, Shanxi, 030604, China.

Subjects: Age Determination by Skeleton*/Age Determination by Skeleton*/Age Determination by Skeleton*/methods ; Wrist Joint*/Wrist Joint*/Wrist Joint*/diagnostic imaging; Adolescent

• Source: International journal of legal medicine [Int J Legal Med] 2024 Nov; Vol. 138 (6), pp. 2427-2440. Date of Electronic Publication: 2024 Jul 26.Publisher: Springer International Country of Publication: Germany NLM ID: 9101456 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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AIpollen: An Analytic Website for Pollen Identification Through Convolutional Neural Networks.

• Authors : Yu, Xingchen; Zhao, Jiawen; Xu, Zhenxiu

• Source: Plants. November, 2024, Vol. 13 Issue 22.

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Convolutional Neural Networks Facilitate Process Understanding of Megacity Ozone Temporal Variability.

• Authors : Mai Z; Shenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.; Guangdong Provincial Observation and Research Station for Coastal Atmosphere and Climate of the Greater Bay Area, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.

Subjects: Ozone*/Ozone*/Ozone*/analysis ; Neural Networks, Computer*; China

• Source: Environmental science & technology [Environ Sci Technol] 2024 Sep 03; Vol. 58 (35), pp. 15691-15701. Date of Electronic Publication: 2024 Mar 15.Publisher: American Chemical Society Country of Publication: United States NLM ID: 0213155 Publication Model: Print-Electronic Cited Medium: Internet

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Research from Henan University in the Area of Emerging Technologies Described (A Comparative Analysis of Convolutional Neural Networks for American Sign Language Recognition).

• Source: Health & Medicine Week. 2024, pages. 4862

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Researchers from Central South University Publish Research in Geomatics [Multi-scale convolutional neural networks (CNNs) for landslide inventory mapping from remote sensing imagery and landslide susceptibility mapping (LSM)].

• Source: Information Technology Newsweekly. 2024, pages. 838

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Beihang University Reports Findings in Networks (Towards precision aviation emission modeling: A hybrid paradigm of convolutional neural networks and semi-empirical formulas for full flight phase gas pollutant indices).

• Source: Journal of Transportation. 2024, pages. 37

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Researchers' Work from Tianjin University Focuses on Computers and Electrical Engineering (Trajectories Prediction In Multi-ship Encounters: Utilizing Graph Convolutional Neural Networks With Gru and Self-attention Mechanism).

• Source: Internet Networks & Communications. 2024, pages. 573

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Researchers from Dalian University of Technology Detail New Studies and Findings in the Area of Networks (Time-guided Convolutional Neural Networks for Spatiotemporal Urban Flood Modelling).

• Source: Internet Networks & Communications. 2024, pages. 511

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