Výsledky vyhľadávania - "Deep-Learning Algorithms"

Revealing critical mineralogical insights in extreme environments using deep learning technique on hyperspectral PRISMA satellite imagery: Dry Valleys, South Victoria Land, Antarctica

Autori: Jabar Habashi Amin Beiranvand Pour Aidy M. Muslim a ďalší

Zdroj: ISPRS Journal of Photogrammetry and Remote Sensing. 228:83-121

Predmety: PRISMA, 'Deep learning algorithms', 'Alteration minerals', '3-Dimensional convolutional neural networks (3-D CNNs)', 'Extreme environments', 'Antarctica'

Advancements in Fire Detection: A Review of Computer Vision and Deep Learning Approaches

Autori: Antonio Antunović Rebeca Marković Mario Karajko a ďalší

Zdroj: 2025 MIPRO 48th ICT and Electronics Convention. :50-56

Predmety: Convolutional Neural Networks (CNN) Model, Computer Vision, Deep-Learning Algorithms, Fire Detection, Real-Time Processing, YOLO Model, Drones, Internet of Things (IoT)

Forward Predicting Chromatic-Optical Parameters of the Mixed Light of White-Red Light-Emitting Diode Configurations Based on Deep Learning Algorithms

Autori: Songsheng Lin Huanting Chen Yin Zheng a ďalší

Zdroj: IEEE Photonics Journal, Vol 17, Iss 3, Pp 1-7 (2025)

Predmety: White-red LED configurations, deep learning algorithms, Applied optics. Photonics, QC350-467, Optics. Light, optical and chromatic parameters, spectral power distribution, TA1501-1820

Prístupová URL adresa: https://doaj.org/article/5c8cd203ad91467480d01fb45ff04caf

Design of multi-mode intelligent system architecture for surface defect detection of steel based on cloud technology

Autori: Fei Ren LiBing Xu Jiajie Fei a ďalší

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-14 (2025)

Predmety: Steel surface defect detection, Cloud-native technology, Multimodal intelligent system architecture, Deep learning algorithms, Real-time monitoring, Medicine, Science

Popis súboru: electronic resource

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

Prístupová URL adresa: https://doaj.org/article/5f27bc11b44546d896b2930d6504d825

Enhanced Product Defect Detection in Smart Manufacturing Using ConvNeXt-Stacked Autoencoder Architecture

Autori: Hasan, Ahmed M. Nasser, Ahmed R. Al-Araji, Ahmed Sabah a ďalší

Zdroj: Indonesian Journal of Science and Technology; Vol 10, No 2 (2025): IJOST: September 2025; 297-316

Predmety: ConvNeXt, Convolutional neural network, Deep learning algorithms, Product defect detection, Quality control, Stacked autoencoders

Popis súboru: application/pdf

Prístupová URL adresa: http://ejournal.upi.edu/index.php/ijost/article/view/82229

To Be or Not to Be Stable, That Is the Question: Understanding Neural Networks for Inverse Problems

Autori: Davide Evangelista Elena Loli Piccolomini Elena Morotti a ďalší

Zdroj: SIAM Journal on Scientific Computing. 47:C77-C99

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, neural networks stability, linear inverse problems, deep learning algorithms, image deblurring, trade-off accuracy stability, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Mathematics - Numerical Analysis, 02 engineering and technology, Numerical Analysis (math.NA), 65K10, 68T07, 68U10, Machine Learning (cs.LG)

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2211.13692
https://epubs.siam.org/doi/10.1137/23M1586872
https://doi.org/10.1137/23M1586872
https://hdl.handle.net/11585/1009952

Enhancing Lidar-Based 3D Classification Through an Improved Deep Learning Framework With Residual Connections

Autori: Shih-Lin Lin Jun-Yi Wu

Zdroj: IEEE Access, Vol 13, Pp 42836-42849 (2025)

Predmety: 3D neural network, deep learning algorithms, Autonomous driving, LiDAR point cloud data, Electrical engineering. Electronics. Nuclear engineering, VoxNet, TK1-9971

Prístupová URL adresa: https://doaj.org/article/92fa84b1f8014589afc9f8388661181c

Prediction of Wastewater Effluent Water Quality Based on Variational Mode Decomposition and Deep Learning Algorithm

Autori: MEI Dan, ZHANG Heng

Zdroj: 长江科学院院报, Vol 42, Iss 9, Pp 67-74 (2025)

Predmety: water quality prediction, variational mode decomposition(vmd), comprehensive evaluation indicator(cei), optimal sub-model selection, deep learning algorithms, River, lake, and water-supply engineering (General), TC401-506

Popis súboru: electronic resource

Relation: http://ckyyb.crsri.cn/fileup/1001-5485/PDF/1735794861413-110411196.pdf; https://doaj.org/toc/1001-5485

Prístupová URL adresa: https://doaj.org/article/39dadf7b9a0f4c3ab86797df312fae4e

Artificial intelligence-assisted identification of condensing osteitis and idiopathic osteosclerosis on panoramic radiographs

Autori: Ibrahim Burak Yuksel Amin Boudesh Masoud Ghanbarzadehchaleshtori a ďalší

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-13 (2025)

Predmety: Condensing osteitis, Deep learning algorithms, Idiopathic osteosclerosis, Panoramic radiography, Medicine, Science

Popis súboru: electronic resource

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

Prístupová URL adresa: https://doaj.org/article/4f65d418a0354b839f1b86854eef6f6f

Prediction of Fine Dust Concentrations in Major South Korean Cities Using a CNN–GRU Deep Learning Model

Autori: Minhyeok Lee MinJin Koak Hyejin Noh a ďalší

Zdroj: 대한환경공학회지, Vol 47, Iss 8, Pp 549-561 (2025)

Predmety: urban air environment, urban air monitoring network, safety management, deep learning algorithms, air pollution monitoring and prediction, Environmental engineering, TA170-171

Popis súboru: electronic resource

Relation: http://www.jksee.or.kr/upload/pdf/KSEE-2025-47-8-549.pdf; https://doaj.org/toc/1225-5025; https://doaj.org/toc/2383-7810

Prístupová URL adresa: https://doaj.org/article/a1a1e9f75ac04c80bb6858111337d9b8

Associations of street-view greenspace exposure with cardiovascular health (Life’s Essential 8) among women in midlife

Autori: Sheryl L. Rifas-Shiman Li Yi Izzuddin M. Aris a ďalší

Zdroj: Biology of Sex Differences, Vol 16, Iss 1, Pp 1-12 (2025)

Predmety: Green space, Street-view imagery, Deep learning algorithms, Cardiovascular health, Life’s essential 8, Females, Medicine, Physiology, QP1-981

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2042-6410

Prístupová URL adresa: https://doaj.org/article/00e345cf8d5f42b3a92685fe43cbfcee

Flood susceptibility mapping using optimized deep learning models: a non-structural framework

Autori: Seyed Vahid Razavi-Termeh Abolghasem Sadeghi-Niaraki Mohammadreza Jelokhani-Niaraki a ďalší

Zdroj: Applied Water Science, Vol 15, Iss 8, Pp 1-25 (2025)

Predmety: Flood management, Flood susceptibility map, Deep learning algorithms, Remote sensing imagery, Metaheuristic algorithms, Water supply for domestic and industrial purposes, TD201-500

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2190-5487; https://doaj.org/toc/2190-5495

Prístupová URL adresa: https://doaj.org/article/c8204dfc431343faa7dc4b9beec9f260

Structural health monitoring and evaluation method for an immersed tunnel based on deep learning

Autori: Yuhang Wei Jinfang Hou Linhu Yang a ďalší

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

Predmety: Subsea immersed tunnels, Structural health evaluation, Deep learning algorithms, CRITIC method, Multi-source information fusion, Medicine, Science

Popis súboru: electronic resource

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

Prístupová URL adresa: https://doaj.org/article/6351badc4bb6480bb433403947932fc4

CNN-Based Cross-Modality Fusion for Enhanced Breast Cancer Detection Using Mammography and Ultrasound

Autori: Yi-Ming Wang Chi-Yuan Wang Kuo-Ying Liu a ďalší

Zdroj: Tomography
Tomography, Vol 10, Iss 12, Pp 2038-2057 (2024)

Predmety: deep learning algorithms, Computer applications to medicine. Medical informatics, R858-859.7, Breast Neoplasms, artificial intelligence, Multimodal Imaging, Article, Machine Learning, 03 medical and health sciences, breast cancer, 0302 clinical medicine, convolutional neural networks, Humans, Female, Neural Networks, Computer, Ultrasonography, Mammary, Breast, Early Detection of Cancer, Mammography

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39728907
https://doaj.org/article/397a94fe88724e0f9a97efe5f0d4fe02

Dimensionality cutback and deep learning algorithms efficacy as to the breast cancer diagnostic dataset

Autori: Gennady Chuiko Denys Honcharov

Zdroj: Радіоелектронні і комп'ютерні системи, Vol 2024, Iss 4, Pp 91-98 (2024)

Predmety: wisconsin breast cancer dataset, TK7885-7895, diagnosing malignant-benign tumors, Computer engineering. Computer hardware, breast cancer, weka, Electronic computers. Computer science, deep learning algorithms, QA75.5-76.95

Prístupová URL adresa: https://doaj.org/article/7ee604b90c644f749beef15b9dbffb81

Transfer learning approaches for EfficientNetV2 B0 and ImageNet skin cancer classification in a convolutional neural network

Autori: G. Karthiha S. Allwin

Zdroj: PeerJ Computer Science, Vol 11, p e3362 (2025)

Predmety: Skin cancer detection, Skin lesion, Deep learning algorithms, Convolutional neural networks, Image augmentation, EfficientNetV2 B0, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://peerj.com/articles/cs-3362.pdf; https://peerj.com/articles/cs-3362/; https://doaj.org/toc/2376-5992

Prístupová URL adresa: https://doaj.org/article/e173d76bd0aa46ad9f08ba2b47ff14f6

Research on highway road condition intelligent assessment and optimization system based on deep learning and internet of things

Autori: Tingquan He Changhai Wang Riyan Lan a ďalší

Zdroj: Systems and Soft Computing, Vol 7, Iss , Pp 200361- (2025)

Predmety: Deep learning algorithms, Internet of things, Real time traffic conditions, Evaluate optimization, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772941925001796; https://doaj.org/toc/2772-9419

Prístupová URL adresa: https://doaj.org/article/cf4ef635ade44e93a0205d89d1b9c1c9

Artificial intelligence‐assisted automated heart failure detection and classification from electronic health records

Autori: Mon Myat Oo Chuang Gao Christian Cole a ďalší

Zdroj: ESC Heart Fail
ESC Heart Failure, Vol 11, Iss 5, Pp 2769-2777 (2024)

Predmety: Male, 0301 basic medicine, Epidemiology, Heart failure, electronic health record data, 03 medical and health sciences, Electronic health record data, Deep Learning, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Artificial Intelligence, Validation, Diseases of the circulatory (Cardiovascular) system, Humans, Electronic Health Records, Aged, Retrospective Studies, validation, Heart Failure, deep learning algorithms, Stroke Volume, Preserved ejection fraction, Middle Aged, preserved ejection fraction, Deep learning algorithms, Scotland, Echocardiography, RC666-701, epidemiology, Original Article, Female, Algorithms, name=Cardiology and Cardiovascular Medicine

Popis súboru: application/pdf

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38700133
https://doaj.org/article/2870b87907db4df9839419fb8ce23508
https://pure.eur.nl/en/publications/d335c1c1-b94d-4f1d-8b6d-1ce61bd0c33b
https://doi.org/10.1002/ehf2.14828
https://research.rug.nl/en/publications/8de35091-c4c7-4a1c-b01e-4d46d48f70bd
https://doi.org/10.1002/ehf2.14828
https://hdl.handle.net/11370/8de35091-c4c7-4a1c-b01e-4d46d48f70bd

Comparative Analysis of Deep Learning Algorithms in Fire Detection

Autori: Remzi Göçmen Musa Çıbuk Erdal Akin

Zdroj: Volume: 12, Issue: 3255-261
Balkan Journal of Electrical and Computer Engineering

Predmety: Yazılım Mühendisliği (Diğer), Software Engineering (Other), Fire Detection, Image Processing, Deep Learning, Convolutional Neural Networks, Deep Learning Algorithms

Popis súboru: application/pdf

Prístupová URL adresa: https://dergipark.org.tr/tr/pub/bajece/issue/87744/1533966

Artificial intelligence strengthenes cervical cancer screening – present and future

Autori: Tong Wu Eric Lucas Fanghui Zhao a ďalší

Zdroj: Cancer Biol Med
Cancer Biology & Medicine, Vol 21, Iss 10, Pp 864-879 (2024)

Predmety: Deep Learning, Artificial Intelligence, deep learning algorithms, cervical cancer screening, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Humans, Uterine Cervical Neoplasms, Mass Screening, Female, Review, artificial intelligence, RC254-282, Early Detection of Cancer

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39297572
https://doaj.org/article/33da9ecd40af41a9ab49406159e2501f