Výsledky vyhľadávania - "DeepLabv3+ Convolutional Neural Network"

Enhancing DeepLabv3+ Convolutional Neural Network Model for Precise Apple Orchard Identification Using GF-6 Remote Sensing Images and PIE-Engine Cloud Platform

Autori: Guining Gao Zhihan Chen Yicheng Wei a ďalší

Zdroj: Remote Sensing, Vol 17, Iss 11, p 1923 (2025)

Predmety: remote sensing identification, Science, apple orchard, deep learning, agricultural mapping, semantic segmentation

Prístupová URL adresa: https://doaj.org/article/42dd3ea7bb4d46d492b2f461c7f798ef

Ear semantic segmentation in natural images with Tversky loss function supported DeepLabv3+ convolutional neural network

Autori: Tolga INAN Umit KACAR

Zdroj: Volume: 10, Issue: 3 337-346
Balkan Journal of Electrical and Computer Engineering

Predmety: Yapay Zeka, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Semantic Segmentation, Ear Segmentation, Convolutional Neural Networks, Tversky Loss Function, biometrics, 02 engineering and technology

Popis súboru: application/pdf

Prístupová URL adresa: https://dergipark.org.tr/tr/pub/bajece/issue/70568/1024073

Enhancing DeepLabv3+ Convolutional Neural Network Model for Precise Apple Orchard Identification Using GF-6 Remote Sensing Images and PIE-Engine Cloud Platform.

Autori: Gao, Guining Chen, Zhihan Wei, Yicheng a ďalší

Zdroj: Remote Sensing; Jun2025, Vol. 17 Issue 11, p1923, 25p

Predmety: ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, AGRICULTURAL development, AGRICULTURAL mapping, SUSTAINABLE agriculture, APPLE orchards

Analysis of Glacial Morphological Characteristics in Ányêmaqên Mountains Using Multi-Source Time-Series High-Resolution Remote Sensing Imagery.

Autori: Xu, Wei Chen, Gang Wu, Xiaotian a ďalší

Zdroj: Water (20734441); Sep2025, Vol. 17 Issue 18, p2749, 28p

Predmety: GLACIOLOGY, REMOTE sensing, HAZARDS, HAZARD mitigation, GLACIAL melting, ENVIRONMENTAL security, CLIMATE change

Geografický termín: TIBETAN Plateau

A CNN-Based Framework for Automatic Extraction of High-Resolution River Bankfull Width.

Autori: Li, Wenqi Zhang, Chendi Puhl, David a ďalší

Zdroj: Remote Sensing; Dec2024, Vol. 16 Issue 23, p4614, 19p

Predmety: CONVOLUTIONAL neural networks, RIVER channels, CHANNELS (Hydraulic engineering), VORONOI polygons, COMPLEX variables

Implementation of Automatic Segmentation Framework as Preprocessing Step for Radiomics Analysis of Lung Anatomical Districts.

Autori: Stefano, Alessandro Bini, Fabiano Lauciello, Nicolò a ďalší

Zdroj: BioMedInformatics; Dec2024, Vol. 4 Issue 4, p2309-2320, 12p

Predmety: CONVOLUTIONAL neural networks, PATIENT decision making, DEEP learning, LUNG cancer, IMAGE segmentation, LUNGS

A Patient-Specific Algorithm for Lung Segmentation in Chest Radiographs.

Autori: De Silva, Manawaduge Supun Narayanan, Barath Narayanan Hardie, Russell C.

Zdroj: AI; Dec2022, Vol. 3 Issue 4, p931-947, 17p

Predmety: CHEST X rays, LUNGS, CONVOLUTIONAL neural networks, COMPUTER-aided diagnosis, ALGORITHMS, NETWORK performance

Geografický termín: SHENZHEN (Guangdong Sheng, China : East)

Multi-Resolution-Based Deep Learning Approach for Rice Field Monitoring.

Alternate Title: Une approche d'apprentissage profond basée sur la multirésolution pour la surveillance des rizières.

Autori: Afaq, Yasir Manocha, Ankush

Zdroj: Canadian Journal of Remote Sensing. Apr2022, Vol. 48 Issue 2, p278-298. 21p.

Predmety: *PADDY fields, *DEEP learning, *CONVOLUTIONAL neural networks, *HIGH resolution imaging, *LANDSAT satellites, *RICE

Geografický termín: PUNJAB

High-Throughput in situ Root Image Segmentation Based on the Improved DeepLabv3+ Method.

Autori: Shen, Chen Liu, Liantao Zhu, Lingxiao a ďalší

Zdroj: Frontiers in Plant Science; 10/19/2020, Vol. 11, pN.PAG-N.PAG, 14p

Predmety: CONVOLUTIONAL neural networks, ENVIRONMENTAL soil science, IMAGE segmentation, PLANT development, PLANT roots, HUMAN error

Sunflower Seedling Counting and Weed Detection by Deep Learning on Unmanned Aerial Vehicle Captured RGB Images.

Autori: Pestunov, I. A. Kalashnikov, R. A. Ovcharova, N. V. a ďalší

Zdroj: Optoelectronics Instrumentation & Data Processing; Aug2025, Vol. 61 Issue 4, p430-440, 11p

基于多通道数据融合的无人机遥感 影像地物目标提取方法. (Chinese)

Alternate Title: Targets Extraction Method for UAV Remote Sensing Images Based on Multi-channel Data Fusion. (English)

Autori: 孙晓宇 蔡　祥

Zdroj: Geography & Geographic Information Science; 2021, Vol. 37 Issue 6, p41-45, 5p

Hedgerow Map of Bavaria, Germany, based on Orthophotos and Convolutional Neural Networks

Autori: Huber Garcia, Verena Kriese, Jennifer Asam, Sarah a ďalší

Predmety: Dynamik der Landoberfläche

Popis súboru: application/pdf

Relation: https://elib.dlr.de/212234/1/HuberGarcia_etal.2025.pdf; Huber Garcia, Verena und Kriese, Jennifer und Asam, Sarah und Dirscherl, Mariel und Stellmach, Michael und Buchner, Johanna und Kerler, Kristel und Gessner, Ursula (2025) Hedgerow Map of Bavaria, Germany, based on Orthophotos and Convolutional Neural Networks. Remote Sensing Applications: Society and Environment, 27, Seiten 1-23. Elsevier. doi:10.1016/j.rsase.2025.101451 . ISSN 2352-9385.

Dostupnosť: https://elib.dlr.de/212234/
https://elib.dlr.de/212234/1/HuberGarcia_etal.2025.pdf

Deep learning-based automatic bleeding recognition during liver resection in laparoscopic hepatectomy.

Autori: Sunakawa, Taiki Kitaguchi, Daichi Kobayashi, Shin a ďalší

Zdroj: Surgical Endoscopy & Other Interventional Techniques; Dec2024, Vol. 38 Issue 12, p7656-7662, 7p

Predmety: HEMORRHAGE, OPERATIVE surgery, ARTIFICIAL intelligence in medicine

Detection and Assessment of White Flowering Nectar Source Trees and Location of Bee Colonies in Rural and Suburban Environments Using Deep Learning.

Autori: Atanasov, Atanas Z. Evstatiev, Boris I. Atanasov, Asparuh I. a ďalší

Zdroj: Diversity (14242818); Sep2024, Vol. 16 Issue 9, p578, 17p

Predmety: CONVOLUTIONAL neural networks, BEE colonies, PLANT size, PLANT species diversity, INSECT pollinators

A Road Crack Segmentation Method Based on Transformer and Multi-Scale Feature Fusion.

Autori: Xu, Yang Xia, Yonghua Zhao, Quai a ďalší

Zdroj: Electronics (2079-9292); Jun2024, Vol. 13 Issue 12, p2257, 21p

Predmety: TRANSFORMER models, DEEP learning, CONVOLUTIONAL neural networks, ROAD maintenance, INFRASTRUCTURE (Economics)

Analysis of Glacial Morphological Characteristics in Ányêmaqên Mountains Using Multi-Source Time-Series High-Resolution Remote Sensing Imagery

Autori: Wei Xu Gang Chen Xiaotian Wu a ďalší

Zdroj: Water. 17:2749

A Novel LSB Steganography Technique Using Image Segmentation.

Autori: Demircan, Yasir Yakup Ozekes, Serhat

Zdroj: Journal of Universal Computer Science (JUCS); 2024, Vol. 30 Issue 3, p308-332, 25p

A novel approach to quantify calcifications of thyroid nodules in US images based on deep learning: predicting the risk of cervical lymph node metastasis in papillary thyroid cancer patients.

Autori: Wang, Juan Dong, Caixia Zhang, Yao-zhong a ďalší

Zdroj: European Radiology; Dec2023, Vol. 33 Issue 12, p9347-9356, 10p

Predmety: THYROID nodules, LYMPHATIC metastasis, THYROID cancer, DEEP learning, CALCIFICATION, SIGNAL convolution

Artificial intelligence-powered spatial analysis of tumor-infiltrating lymphocytes for prediction of prognosis in resected colon cancer.

Autori: Lim, Yoojoo Choi, Songji Oh, Hyeon Jeong a ďalší

Zdroj: NPJ Precision Oncology; 11/20/2023, Vol. 7 Issue 1, p1-8, 8p

Three-Dimensional Semantic Segmentation of Diabetic Retinopathy Lesions and Grading Using Transfer Learning.

Autori: Shaukat, Natasha Amin, Javeria Sharif, Muhammad a ďalší

Zdroj: Journal of Personalized Medicine; Sep2022, Vol. 12 Issue 9, pN.PAG-N.PAG, 17p

Predmety: DIABETIC retinopathy, FEATURE extraction, CONVOLUTIONAL neural networks