Výsledky vyhľadávania - "Fully convolutional neural network"

Deep learning methods for automated detection of new multiple sclerosis lesions in longitudinal magnetic resonance images

Autori: Salem, Mostafa

Prispievatelia: University/Department: Universitat de Girona. Departament d'Arquitectura i Tecnologia de Computadors

Thesis Advisors: Salvi, Joaquim, Lladó Bardera, Xavier

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Brain, Cervell, Cerebro, MRI, Magnetic resonance imaging, Imatgeria per ressonància magnètica, Imagen por resonancia magnética, Multiple sclerosis, Esclerosi múltiple, Esclerosis múltiple, Automatic new lesion detection, Detecció automàtica de noves lesions, Detección automática de nuevas lesiones, Machine learning, Aprenentatge automàtic, Aprendizaje automático, Deep learning, Aprenentatge profund, Aprendizaje profundo, Synthetic lesion generation, Data augmentation, CNN, Convolutional neural network, FCNN, Fully convolutional neural network

Time: 616.8

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/668990

3D Anisotropic Asymmetric Pyramid (AAP-Net) Network Model for Brain Metastases Segmentation on Multi-Sequence MRI

Autori: Omar Farghaly Priya Deshpande

Zdroj: IEEE Access, Vol 13, Pp 86983-86997 (2025)

Predmety: fully convolutional neural network, MRI images, Brain metastases, Electrical engineering. Electronics. Nuclear engineering, image segmentation, TK1-9971

Prístupová URL adresa: https://doaj.org/article/887003b3447341618489c25fda03d639

The analysis of landscape design and plant selection under deep learning

Autori: Lian Li JiYon Lee

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-23 (2025)

Predmety: Image recognition technology, Identification of plant leaves, Landscape design, Fully convolutional neural network, Transfer learning, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/2991ca629a4b47328783c08c92c2bd56

Accurate and real-time brain tumour detection and classification using optimized YOLOv5 architecture

Autori: M. Saranya R. Praveena

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-19 (2025)

Predmety: Brain tumour detection, Brain tumour classification, YOLOv5 architecture, Fully convolutional neural network, MRI image segmentation, Tumour localization, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/864d1d24899f4b31b06c844ec6679541

Optical Synergy (Sentinel-2 / Spot6-7) for Annual Detection and Mapping of Coastal Wetlands in the Crozon Peninsula Using Machine and Deep Learning Methods

Autori: Le Guillou, Adrien Niculescu, Simona Schmullius, Christiane

Prispievatelia: Le Guillou, Adrien Niculescu, Simona Schmullius, Christiane

Zdroj: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. :4788-4792

Predmety: remote sensing, machine learning, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], hydrology, [SDE.IE] Environmental Sciences/Environmental Engineering, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], fully convolutional neural network (FCNN), Coastal wetland

Popis súboru: application/pdf

Wind speed prediction for trains on bridges using enhanced variational mode decomposition assisted feature extraction and physical auxiliary mechanism

Autori: Zhilan Zhu Yuan Jiang Haicui Wang a ďalší

Zdroj: Advances in Bridge Engineering, Vol 6, Iss 1, Pp 1-20 (2025)

Predmety: Train operation safety, Short-term wind speed prediction, Enhanced variational mode decomposition, Fully convolutional neural network, Physical auxiliary mechanism, Bridge engineering, TG1-470

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2662-5407

Prístupová URL adresa: https://doaj.org/article/ae55f5c6585d440185aa2c988e127abb

Neonatal Hypoxic-ischemic Encephalopathy Grading from Multi-channel EEG Time-series Data Using a Fully Convolutional Neural Network

Autori: Shuwen Yu William P. Marnane Geraldine B. Boylan a ďalší

Zdroj: Technologies, Vol 11, Iss 6, p 151 (2023)

Predmety: Technology, 03 medical and health sciences, fully convolutional neural network, 0302 clinical medicine, hypoxic-ischemic encephalopathy (HIE), UMAP, Hypoxic-ischemic encephalopathy (HIE), Fully convolutional neural network, EEG

Popis súboru: application/pdf

Prístupová URL adresa: https://doaj.org/article/a7603788163e4a859e30be4e87329ca9
https://hdl.handle.net/10468/15279
https://hdl.handle.net/10468/15278

EFFC-Net: lightweight fully convolutional neural networks in remote sensing disaster images

Autori: Jianye Yuan Xin Ma Zhentong Zhang a ďalší

Zdroj: Geo-spatial Information Science, Vol 28, Iss 1, Pp 212-223 (2025)

Predmety: EFFC-Net, CNN, transformer, remote sensing image, fully convolutional neural network, Mathematical geography. Cartography, GA1-1776, Geodesy, QB275-343

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1009-5020; https://doaj.org/toc/1993-5153

Prístupová URL adresa: https://doaj.org/article/244ae3b0f82b4027b64aeeccf28117ed

Circle chaotic map tuna swarm optimization (CCMTSO) based feature selection and deep learning approach for air quality prediction

Autori: Swamy Aradhyamatada U.M. Rohitha

Zdroj: Yugoslav Journal of Operations Research, Vol 34, Iss 4, Pp 669-686 (2024)

Predmety: circle chaotic map tuna swarm optimization (ccmtso), T58.6-58.62, 13. Climate action, fcnn-lstm (fully convolutional neural network - longshort term memory), 11. Sustainability, 0211 other engineering and technologies, deep learning, air-pollution, forecasting, Management information systems, 02 engineering and technology

Prístupová URL adresa: https://doaj.org/article/9ae24dc490d6461fbfdfb61a52d9a250

Data-Driven Generation of Tailored Wave Sequences

Autori: Klein, Marco Wedler, Mathies Pick, Marc-André a ďalší

Zdroj: Volume 5A: Ocean Engineering.

Predmety: machine learning, fully convolutional neural network, fully convolutional neural network | machine learning | tailored wave sequences | wave tank, MLE@TUHH, tailored wave sequences, wave tank

Prístupová URL adresa: https://elib.dlr.de/206304/
https://doi.org/10.1115/omae2024-129690

Satellite-Derived Bathymetry Using Sentinel-2 and Airborne Hyperspectral Data: A Deep Learning Approach with Adaptive Interpolation

Autori: Seung-Jun Lee Han-Saem Kim Hong-Sik Yun a ďalší

Zdroj: Remote Sensing, Vol 17, Iss 15, p 2594 (2025)

Predmety: satellite-derived bathymetry, Sentinel-2, hyperspectral data fusion, interpolation methods, deep learning, fully convolutional neural network, Science

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2072-4292/17/15/2594; https://doaj.org/toc/2072-4292

Prístupová URL adresa: https://doaj.org/article/cb8579bcb2a440f1a140df2b625f5af3

A Cross-Machine Intelligent Fault Diagnosis Method with Small and Imbalanced Data Based on the ResFCN Deep Transfer Learning Model

Autori: Juanru Zhao Mei Yuan Yiwen Cui a ďalší

Zdroj: Sensors ; Volume 25 ; Issue 4 ; Pages: 1189

Predmety: deep transfer learning, small and imbalanced data, intelligent fault diagnosis, feature adaption, fully convolutional neural network

Popis súboru: application/pdf

Relation: Fault Diagnosis & Sensors; https://dx.doi.org/10.3390/s25041189

Dostupnosť: https://doi.org/10.3390/s25041189

Improving the Seismic Impedance Inversion by Fully Convolutional Neural Network

Autori: Liurong Tao Zhiwei Gu Haoran Ren

Zdroj: Journal of Marine Science and Engineering ; Volume 13 ; Issue 2 ; Pages: 262

Predmety: seismic impedance inversion, fully convolutional neural network, data fusion, generalizations

Geografické téma: agris

Popis súboru: application/pdf

Relation: Geological Oceanography; https://dx.doi.org/10.3390/jmse13020262

Dostupnosť: https://doi.org/10.3390/jmse13020262

Generating Multi‐Depth 3D Holograms Using a Fully Convolutional Neural Network

Autori: Xingpeng Yan Xinlei Liu Jiaqi Li a ďalší

Zdroj: Advanced Science, Vol 11, Iss 28, Pp n/a-n/a (2024)

Predmety: computer‐generated hologram, fully convolutional neural network, multi‐depth hologram, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2198-3844

Prístupová URL adresa: https://doaj.org/article/7cc675689b394d77896908d5c09eaa16

The integration of GPS and visual navigation for autonomous navigation of an Ackerman steering mobile robot in cotton fields

Autori: Canicius Mwitta Glen C. Rains

Zdroj: Front Robot AI
Frontiers in Robotics and AI, Vol 11 (2024)

Predmety: Robotics and AI, 2. Zero hunger, fully convolutional neural network, precision agriculture, path between cotton row detection, QA75.5-76.95, 04 agricultural and veterinary sciences, 15. Life on land, 01 natural sciences, 0104 chemical sciences, dynamic window approach, Electronic computers. Computer science, TJ1-1570, 0401 agriculture, forestry, and fisheries, Mechanical engineering and machinery, pure pursuit

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38680621
https://doaj.org/article/3db7520a4b02495aadbc3336b0c85215

Prediction of protein-protein interaction with cosine matrices

Autori: Novikov, A. A. Tuzikov, A. V. Batyanovskii, A. V.

Predmety: protein-protein interaction, cosine matrix, fully convolutional neural network, ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика, материалы конференций, ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика, protein structure representation

Popis súboru: application/pdf

Prístupová URL adresa: https://elib.bsu.by/handle/123456789/306246

A fast and accurate brain extraction method for CT head images

Autori: Dingyuan Hu Hongbin Liang Shiya Qu a ďalší

Zdroj: BMC Medical Imaging, Vol 23, Iss 1, Pp 1-11 (2023)

Predmety: Fully convolutional neural network, Threshold segmentation, Head CT images, Brain extraction, Medical technology, R855-855.5

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1471-2342

Prístupová URL adresa: https://doaj.org/article/c786754d111d482a90362f04080c3dc5

Pelvic bone tumor segmentation fusion algorithm based on fully convolutional neural network and conditional random field

Autori: Shiqiang Wu Zhanlong Ke Liquan Cai a ďalší

Zdroj: Journal of Bone Oncology, Vol 45, Iss , Pp 100593- (2024)

Predmety: Pelvis bone tumor, Image segmentation, Fully convolutional neural network, Conditional random fields, Computed tomography, Diseases of the musculoskeletal system, RC925-935, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2212137424000733; https://doaj.org/toc/2212-1374

Prístupová URL adresa: https://doaj.org/article/191e629f80394c538508371105665e2e

Training Deep Filters for Physical-Layer Frame Synchronization

Autori: Sarunas Kalade Louise H. Crockett Robert W. Stewart

Zdroj: IEEE Open Journal of the Communications Society, Vol 3, Pp 1063-1075 (2022)

Predmety: QA75, fully convolutional neural network, Electrical engineering. Electronics Nuclear engineering, TK, Internet of Things, Deep learning, TK5101-6720, frame synchronization, Electronic computers. Computer science, Telecommunication, Transportation and communications, HE1-9990

Popis súboru: application/pdf; text

Prístupová URL adresa: https://strathprints.strath.ac.uk/81241/1/Kalade_etal_IEEEOJCS_2022_Training_deep_filters_for_physical_layer_frame_synchronization.pdf
https://doaj.org/article/5affbd4b6e3c4990b9de6f1870fdd4ba

A modified U-Net convolutional neural network for segmenting periprostatic adipose tissue based on contour feature learning

Autori: Gang Wang Jinyue Hu Yu Zhang a ďalší

Zdroj: Heliyon, Vol 10, Iss 3, Pp e25030- (2024)

Predmety: Prostate cancer, Periprostatic adipose tissue, Deep learning, U-shaped fully convolutional neural network (U-Net), Contour feature, Science (General), Q1-390, Social sciences (General), H1-99

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405844024010612; https://doaj.org/toc/2405-8440

Prístupová URL adresa: https://doaj.org/article/70447013a8c44abab4d8cb38f441dc31