Výsledky vyhľadávania - "convolutional neural network"

MangoLeafXNet: An Explainable Deep Learning Model for Accurate Mango Leaf Disease Classification

Autori: Rayed, Md. Eshmam Jim, Jamin Rahman Islam, Md Juniadul a ďalší

Zdroj: IEEE Access. 13:93977-94008

Predmety: Accuracy, Plant diseases, Computational modeling, Deep learning, Computer architecture, Crops, Mathematical models, Robustness, Real-time systems, Image classification, Image processing, convolutional neural network, mango leaf disease, explainable AI

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-72165
https://doi.org/10.1109/ACCESS.2025.3571450

LEU3: An Attention Augmented-Based Model for Acute Lymphoblastic Leukemia Classification

Autori: Dutta, M. Uddin Mojumdar, M. Alamgir Kabir, M. a ďalší

Zdroj: IEEE Access. 13:31630-31642

Predmety: attention mechanism, Blood cell cancer, convolutional neural networks, deep learning, leukemia disease, Deep neural networks, Diagnosis, Diseases, Lung cancer, Multilayer neural networks, Oncology, Patient treatment, Personalized medicine, Acute lymphoblastic leukaemias, Attention mechanisms, Blood cells, Bone marrow, Convolutional neural network, Peripheral blood smears, Treatment plans

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-70685
https://doi.org/10.1109/ACCESS.2025.3542609

Deep Learning for Detection of Harmful Events in Real-World, Noisy Optical Fiber Deployments

Autori: Sadighi, Leyla Karlsson, Stefan Natalino Da Silva, Carlos a ďalší

Zdroj: Journal of Lightwave Technology. 43(13):6092-6101

Predmety: fully-connected layers, One-Dimension (1D) Convolutional Neural Network (CNN), harmful vibration, nonharmful vibration, Machine Learning (ML), State of Polarization (SOP) variations, eavesdropping, Deep Learning (DL)

Popis súboru: electronic

Prístupová URL adresa: https://research.chalmers.se/publication/545956
https://research.chalmers.se/publication/545956/file/545956_Fulltext.pdf

Self-explaining analysis of facility environments on 2-lane rural roads with an improved lightweight CNN considering drivers’ visual perception

Autori: Ren, Weixi Yu, Bo Chen, Yuren a ďalší

Zdroj: International Journal of Transportation Science and Technology. 19:99-113

Predmety: Improved lightweight convolutional neural network, Road category perception, Self-explaining analysis, Speeding, Drivers’ visual perception characteristics

Popis súboru: electronic

Prístupová URL adresa: https://research.chalmers.se/publication/542530
https://research.chalmers.se/publication/542530/file/542530_Fulltext.pdf

Detection-Guided Attention for Selective Target Classification Using Radar Micro-Doppler Spectrograms

Autori: Gusland, Daniel Rolfsjord, Sigmund Ahlberg, Jörgen

Zdroj: IEEE Sensors Journal. 25(8):14370-14378

Predmety: Spectrogram, Radar tracking, Target tracking, Doppler effect, Training, Autonomous aerial vehicles, Sensor phenomena and characterization, Convolutional neural networks, Signal to noise ratio, Propellers, Attention, classification, convolutional neural network (CNN), micro-Doppler, multitarget, radar

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-213450
https://doi.org/10.1109/JSEN.2025.3545378

MaksChroms: An open-source CNN-based tool for dose prediction based on dicentric chromosome assay

Autori: Głowacki, Maksymilian Bucher, Martin Endesfelder, David a ďalší

Zdroj: Radiation Physics and Chemistry. 239

Predmety: Artificial intelligence, Biological dosimetry, Convolutional neural network, Dicentric chromosomes, Gamma radiation, MaksChroms

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-247836
https://doi.org/10.1016/j.radphyschem.2025.113329

An efficient hybrid Hopfield convolutional neural network for detecting spam bots in Twitter platform

Autori: A.V. Santhosh Kumar N. Suresh Kumar R. Kanniga Devi

Zdroj: International Journal of Cognitive Computing in Engineering, Vol 6, Iss, Pp 569-587 (2025)

Predmety: Stop word removal, stemming, Binary golden search optimization algorithm, Electronic computers. Computer science, Science, Spam bot detection, Hybrid Hopfield convolutional neural network, QA75.5-76.95, Online social networks

Prístupová URL adresa: https://doaj.org/article/3a0112cc05c347a68ba0384a76c6ff3a

Machine-Learning-Based Probe Skew Correction for High-Frequency BH Loop Measurements

Autori: Yakun Wang Song Liu Jun Wang a ďalší

Zdroj: Wang, Y, Liu, S, Wang, J, Cui, B & Yang, J 2025, 'Machine Learning Based Probe Skew Correction for High-frequency BH Loop Measurements', IEEE Transactions on Power Electronics, vol. 40, no. 10, pp. 14356-14362. https://doi.org/10.1109/TPEL.2025.3564663

Predmety: BH loop measurement, Signal Processing (eess.SP), machine learning, power magnetics, High-frequency, Convolutional neural network (CNN), Signal Processing, FOS: Electrical engineering, electronic engineering, information engineering

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2501.12209
https://research-information.bris.ac.uk/ws/files/454238525/FINAL_VERSION_ver2.PDF
https://hdl.handle.net/1983/9949866f-a02d-466b-9057-bb6974f39ee6

An Enhanced Noise Removal-based SAR Image Recognition Using DnCNN and Wavelet Transform

Autori: Choi, Y. Kim, G. Kim, B. a ďalší

Zdroj: Radioengineering. 34:429-437

Predmety: noise, Navy SAR, Convolutional Neural Network (CNN), Denoising Convolutional Neural Network (DnCNN), wavelet transform

Popis súboru: text; application/pdf

Prístupová URL adresa: https://hdl.handle.net/11012/255213

Reinforcement learning-driven feature selection enhanced by an evolutionary approach tuning for criminal suspect identification

Autori: Gao, Zhenming Jian, Zhang Seyed Jalaleddin, Mousavirad

Zdroj: Scientific Reports. 15(1)

Predmety: Convolutional neural network, Crime, Criminal suspects, Differential evolution, Proximal policy optimization

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-56087
https://doi.org/10.1038/s41598-025-25920-6

An ensemble model based on transfer learning for the early detection of Alzheimer’s disease

Autori: Asghari Varzaneh, Zahra Mousavi, Seyyed Mohammad Khoshkangini, Reza a ďalší

Zdroj: Scientific Reports. 15(1)

Predmety: Alzheimer’s disease, Convolutional neural network, Ensemble learning, Medical imaging, Transfer learning

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-80005
https://doi.org/10.1038/s41598-025-22025-y

Fly pollinator foraging in boreal forests is shaped by climate, forest structure and flower resources

Autori: Díaz-Calafat, Joan Öckinger, Erik Felton, Adam a ďalší

Zdroj: Oikos.

Predmety: Canopy openness, climate change, climatic refugia, Convolutional Neural Network, deep learning, diptera, forest composition, pollinator conservation, YOLOv5

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-247979
https://doi.org/10.1002/oik.11405

Beam Offset Detection in Laser Stake Welding of T-Joints Using a Convolutional Neural Network

Autori: Nilsen, Morgan Mi, Yongcui Sikström, Fredrik

Zdroj: IOP Conference Series. 1332(1)

Predmety: beam offset detection, laser stake welding, T-joint, convolutional neural network, Production Technology, Produktionsteknik

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-24333
https://doi.org/10.1088/1757-899x/1332/1/012035

Towards reliable prediction of intraoperative hypotension: a cross-center evaluation of deep learning-based and MAP-derived methods

Autori: Chaari, Nada Winski, Greg Hallbäck, Magnus a ďalší

Zdroj: Journal of clinical monitoring and computing.

Predmety: Arterial blood pressure, Deep convolutional neural network, Hypotension events, Intraoperative hypotension, MAP-derived methods, Model generalizability

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-370402
https://doi.org/10.1007/s10877-025-01357-0

A convolutional neural network-based joint detection and localization spatiotemporal scheme for process control through speckle pattern imaging

Autori: Sabahno, Hamed Khodadad, Davood

Zdroj: Computers & industrial engineering. 210

Predmety: Convolutional neural network, Process control, Control charts, Image data, Speckle pattern analysis, Monte Carlo simulation, measurement, deformation, engineering science with specialization in microsystems technology, teknisk fysik med inriktningen mikrosystemteknik

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-244533
https://doi.org/10.1016/j.cie.2025.111538

Koopman theory-inspired method for learning time advancement operators in unstable flame front evolution

Autori: Yu, Rixin Herbert, Marco Klein, Markus a ďalší

Zdroj: Physics of fluids. 37(2)

Predmety: Nonlinear equations, Premixed flames, Chaotic behaviour, Convolutional neural network, Flame front, Fourier, High-dimensional, Higher-dimensional, Learn+, Learning time, Partial differential, Unstable flames, Convolutional neural networks

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-78046
https://doi.org/10.1063/5.0252716

Automatic detection of grains in partially recrystallized microstructures using deep learning

Autori: Lin, Fengxiang Fang, Haixing Liu, Hong a ďalší

Zdroj: Materials Characterization. 219

Predmety: Deep neural networks, Image segmentation, Recrystallization (metallurgy), Automatic Detection, Convolutional neural network, Deep learning, EBSD, Instance segmentation, Quantitative information, Recrystallisation, Recrystallization process, Recrystallized microstructures, User friendly, Convolutional neural networks, Maskinteknik, Mechanical Engineering, Materialteknik, Materials Engineering

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-102531
https://doi.org/10.1016/j.matchar.2024.114576

Deep insights into gastrointestinal health: A comprehensive analysis of GastroVision dataset using convolutional neural networks and explainable AI

Autori: Fahad, Muhammad Mobeen, Noor E Imran, Ali Shariq a ďalší

Zdroj: Biomedical Signal Processing and Control. 102

Predmety: GastroVision, Deep learning, Model soups, Model explainability, Generative AI, Explainable AI (XAI), Generative adversarial network (GAN), Convolutional neural network (CNN), Health Informatics, Hälsoinformatik

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-133748
https://doi.org/10.1016/j.bspc.2024.107260

From data scarcity to diagnostic precision: A novel data augmentation and fault diagnosis framework for district heating substations

Autori: van Dreven, Jonne Cheddad, Abbas Alawadi, Sadi a ďalší

Zdroj: Engineering applications of artificial intelligence. 151

Predmety: Convolutional Neural Network, Data augmentation, District heating, Fault diagnosis, Long Short-Term Memory, Transfer learning, Benchmarking, Premixed flames, Rectifier substations, Automated fault detection, Data faults, Data scarcity, Fault localization, Faults diagnosis, Heating substations, Short term memory, Convolutional neural networks

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-27717
https://doi.org/10.1016/j.engappai.2025.110662

An Evolutionary Federated Learning Approach to Diagnose Alzheimer’s Disease Under Uncertainty

Autori: Basnin, Nanziba Mahmud, Tanjim Islam, Raihan Ul a ďalší

Zdroj: Diagnostics. 15(1)

Predmety: Alzheimer’s disease, convolutional neural network (CNN), federated learning, belief rule base, FedAvg, FedProx, genetic algorithm, Cyber Security, Cybersäkerhet

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-111329
https://doi.org/10.3390/diagnostics15010080