Výsledky vyhľadávania - "Optical data processing"

Deep Depth-Flow Odometry With Inertial Sensor Fusion

Autori: Kang, Jeongmin, 1987

Zdroj: Electronics Letters. 61(1):1-5

Predmety: Artificial Intelligence, Computer Vision, Control Engineering, Navigation, Computer System Recovery, Deep Learning, Inertial Navigation Systems, Optical Data Processing, Optical Flows, Vision, Visual Servoing, Deep Depth, Image Pairs, Inertial Measurements Units, Inertial Sensor, Odometry, Optical, Pose-estimation, Sensor Fusion, Visual Odometry

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-57346
https://doi.org/10.1049/ell2.70409

Investigation on force detection methods for optical trapping and sensing inside living cells

Autori: Mas Soler, Josep

Prispievatelia: University/Department: Universitat de Barcelona. Departament de Física Aplicada

Thesis Advisors: Martín Badosa, Estela, Montes Usategui, Mario

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Processament òptic de dades, Proceso óptico de datos, Optical data processing, Holografia, Holografía, Holography, Ciències Experimentals i Matemàtiques

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/400485

The Use of a Convolutional Neural Network in Detecting Soldering Faults from a Printed Circuit Board Assembly

Autori: Bilal Akhtar, Muhammad

Zdroj: HighTech and Innovation Journal. 3(1):1-14

Predmety: Automatic Optical Inspection, Deep Learning, Neural Network, Object Detection, Printed Circuit Board Assembly, YOLO, Complex networks, Convolution, Fault detection, Network architecture, Neural networks, Object recognition, Optical data processing, Printed circuit boards, Soldering, Timing circuits, Convolutional neural network, Detecting defects, Illumination system, Neural network architecture, Neural-networks, Objects detection, Printed circuit boards assemblies

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-323798
https://doi.org/10.28991/HIJ-2022-03-01-01

Self-Assessment for Multi-Object Tracking Based on Subjective Logic

Autori: Griebel, Thomas Dehler, Nikolas Scheible, Alexander a ďalší

Zdroj: 2024 IEEE Intelligent Vehicles Symposium (IV). :1750-1757

Predmety: Subjective logic, Monitoring, Multi-sensor systems, Multimodales System, Environmental monitoring, Deep learning, Automobile driving, Automation, Autonomes Fahrzeug, Self-assessment, Pattern recognition, Multi-object tracking, Objekterkennung, Optical data processing, Automated vehicles

Popis súboru: application/pdf

A Principal Component Analysis Methodology of Oil Spill Detection and Monitoring Using Satellite Remote Sensing Sensors

Autori: Arslan, N. Majidi Nezhad, Meysam Heydari, A. a ďalší

Zdroj: Remote Sensing. 15(5)

Predmety: image processing, Landsat-8, oil spill, Sentinel-1, Sentinel-2, synthetic aperture radar (SAR), Geometrical optics, High pass filters, Image analysis, Image enhancement, Marine pollution, Oil spills, Optical data processing, Optical remote sensing, Principal component analysis, Radar imaging, Seawater, Space-based radar, Surface waters, Synthetic aperture radar, Wind, Images processing, LANDSAT, Oil spill detection, Principal-component analysis, Remote sensing images, Satellite remote sensing

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-62114
https://doi.org/10.3390/rs15051460

Fixed-Quality Compression of Remote Sensing Images With Neural Networks

Autori: Sebastià Mijares i Verdú Marie Chabert Thomas Oberlin a ďalší

Prispievatelia: Sebastià Mijares i Verdú Marie Chabert Thomas Oberlin a ďalší

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 12169-12180 (2024)

Predmety: QC801-809, Geophysics. Cosmic physics, neural network applications, Remote sensing, [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], neural networks, Neural network applications, optical data processing, Ocean engineering, remote sensing, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Data compression, Optical data processing, TC1501-1800, Neural networks

Prístupová URL adresa: https://doaj.org/article/93c987e6c898476b84ad05f49d475b36

Haptics: Science, Technology, Applications

Autori: Ilana Nisky Jess Hartcher-O’Brien Michaël Wiertlewski a ďalší

Typ zdroja: eBook.

Predmet: Application software, Computers, Special purpose, Optical data processing, Human-computer interaction--Congresses, Haptic devices--Congresses, Robotics, User interfaces (Computer systems)

Kategórie: COMPUTERS / Human-Computer Interaction (HCI), COMPUTERS / Business & Productivity Software / General, COMPUTERS / Computer Architecture, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / User Interfaces, TECHNOLOGY & ENGINEERING / Robotics

Multiplane experimental optical data encryption using phase only holography

Autori: González Moncada, Juan Andrés Vélez Zea, Alejandro Barrera Ramírez, John Fredy a ďalší

Prispievatelia: González Moncada, Juan Andrés Vélez Zea, Alejandro Barrera Ramírez, John Fredy a ďalší

Predmety: Simulación por Computador, Computer Simulation, Procesamiento óptico de datos, Optical data processing, Holografía, Holography, Óptica, Optics, Cifrado de datos (Informática), Data encryption (Computer science), Procesamiento digital de imágenes, Image processing - Digital techniques, Criptosistema JTC, https://id.nlm.nih.gov/mesh/D003198

Popis súboru: 11 páginas; application/pdf

Relation: Opt. Lasers Eng.; 11; 188; Optics and Lasers in Engineering; https://hdl.handle.net/10495/45327

Dostupnosť: https://hdl.handle.net/10495/45327
https://doi.org/10.1016/j.optlaseng.2025.108900

Efficient Multi-Threaded Data Starting Point Matching Method for Space Target Cataloging

Autori: Jiannan Sun Zhe Kang Zhenwei Li a ďalší

Zdroj: Sensors ; Volume 25 ; Issue 8 ; Pages: 2367

Predmety: optical data processing, orbit prediction, data matching, multi-threaded technology, space targets

Popis súboru: application/pdf

Relation: Physical Sensors; https://dx.doi.org/10.3390/s25082367

Dostupnosť: https://doi.org/10.3390/s25082367

Ray Tracing Gems : High-Quality and Real-Time Rendering with DXR and Other APIs

Autori: Eric Haines Tomas Akenine-Möller

Typ zdroja: eBook.

Predmet: Video games--Programming, Computer graphics, Ray tracing algorithms, Optical data processing

Kategórie: COMPUTERS / Software Development & Engineering / Computer Graphics, COMPUTERS / Programming / Games, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition

Investigating the influence of Ni doping on the CuO thin films deposited via ultrasonic spray pyrolysis: Structural, optical and H2 gas sensing analyses

Autori: Muhammed Emin Güldüren Demet İskenderoğlu Harun Güney a ďalší

Prispievatelia: Muhammed Emin Güldüren Demet İskenderoğlu Harun Güney a ďalší

Zdroj: International Journal of Hydrogen Energy. 48:828-839

Predmety: PL, XRD, X ray diffraction, Thin films, X ray photoelectron spectroscopy, Bandgap, Chemical detection, Lime, 02 engineering and technology, 01 natural sciences, Gas sensing electrodes, Optical, Copper oxides, Crystal impurities, Impurity doping, Oxide films, CuO thin films, Photoluminescence, Doping concentration, Ultrasonic spray pyrolysis, Photons, Photoluminescence spectroscopy, H2 gas sensor, Crystal structure, Gas-sensors, Gas detectors, Spray pyrolysis, Energy gap, 0104 chemical sciences, Glass substrates, Chemical sensors, CuO thin Films, Gases, Film preparation, Optical data processing, 0210 nano-technology, Scanning electron microscopy, Gas sensing, Photoelectrons

Prístupová URL adresa: https://hdl.handle.net/20.500.12501/2498
https://avesis.atauni.edu.tr/publication/details/e0ce7223-20a3-4abe-84e5-28fd58a14db0/oai

Learning from subjective human-annotated data : acquisition and estimation of human judgments using deep learning

Autori: Hartwig, Sebastian Ropinski, Timo Jönsson, Daniel

Prispievatelia: Hartwig, Sebastian Ropinski, Timo Jönsson, Daniel

Predmety: Überwachtes Lernen, Deep Learning, Visual computing, DDC 620 / Engineering & allied operations, Bildinformatik, Viewpoint quality, Human judgments, Optical data processing, Human annotations, Supervised learning (Machine learning)

Popis súboru: application/pdf

Computer and Information Sciences

Autori: Tadeusz Czachórski Erol Gelenbe Krzysztof Grochla a ďalší

Typ zdroja: eBook.

Predmet: Optical data processing, Software engineering, Computer science--Congresses, Information technology--Congresses, Computer networks, Artificial intelligence

Kategórie: COMPUTERS / Networking / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Image Processing, COMPUTERS / Computer Science, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Software Development & Engineering / General, MATHEMATICS / Probability & Statistics / General

An n-Bit adder realized via coherent optical parallel computing

Autori: Reznychenko, B. Paltiel, Y. Remacle, Françoise a ďalší

Zdroj: urn:isbn:978-1-7281-5221-9
Proceedings of the 4th IEEE International Conference on Rebooting Computing, ICRC 2019, 8914703 (2019); 4th IEEE International Conference on Rebooting Computing, ICRC 2019, San Mateo, United States - California [US-CA], 6 November 2019 through 8 November 2019

Predmety: Non von Neumann architectures, Parallel logic, Quantum optical computing, Adders, Computation theory, Delay circuits, Nanosystems, Optical data processing, Quantum optics, Coherent spectroscopies, Fundamental circuits, Neumann architecture, Optical addressing, Parallel Computation, Single instruction multiple data, Transition frequencies, Computer circuits, Physical, chemical, mathematical & earth Sciences, Physique, chimie, mathématiques & sciences de la terre

Relation: info:eu-repo/grantAgreement/EC/H2020/766563

Prístupová URL adresa: https://orbi.uliege.be/handle/2268/265613

Formation of yttrium oxalate phase filled by carbon clusters on the surface of yttrium oxide films

Autori: Boukhvalov, D. W. Zatsepin, D. A. Biryukov, D. Y. a ďalší

Zdroj: Materials Chemistry and Physics

Predmety: BIOCOMPATIBILITY, CARBON FILMS, CRYSTAL ATOMIC STRUCTURE, OPTICAL DATA PROCESSING, OPTICAL PROPERTIES, OXALIC ACID, OXIDE FILMS, 'CURRENT, A-STABLE, CARBON ION IMPLANTATION, CRYSTALS STRUCTURES, OPTICAL MEASUREMENT, SIMULATION DEMONSTRATE, SKIN THICKNESS, SURFACE-MODIFICATION, THEORETICAL SIMULATION, X-RAY DIFFRACTION MEASUREMENTS, YTTRIUM OXIDE

Popis súboru: application/pdf

Relation: Boukhvalov, D., Zatsepin, D., Biryukov, D., Shchapova, Y., Gavrilov, N., & Zatsepin, A. (2024). Formation of yttrium oxalate phase filled by carbon clusters on the surface of yttrium oxide films. Materials Chemistry and Physics, 315, [128936]. https://doi.org/10.1016/j.matchemphys.2024.128936; Final; All Open Access; Green Open Access; http://arxiv.org/pdf/2401.08459; http://elar.urfu.ru/handle/10995/141568; 85182735928; 001170500800001

Dostupnosť: http://elar.urfu.ru/handle/10995/141568
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182735928&doi=10.1016%2fj.matchemphys.2024.128936&partnerID=40&md5=27b03d77d2806abf6dfc9bd8228a6c9d
http://arxiv.org/pdf/2401.08459
https://doi.org/10.1016/j.matchemphys.2024.128936

Reading QR Codes on challenging surfaces using thin-plate splines

Autori: Benito Altamirano, Ismael Martínez Carpena, David Lizarzaburu-Aguilar, Hanna a ďalší

Predmety: Corbes sobre superfícies, Processament òptic de dades, Curves on surfaces, Optical data processing

Popis súboru: 7 p.; application/pdf

Relation: Reproducció del document publicat a: https://doi.org/10.1016/j.patrec.2024.06.004; Pattern Recognition Letters, 2024, vol. 184, p. 37-43; https://doi.org/10.1016/j.patrec.2024.06.004; https://hdl.handle.net/2445/225053; 749006

Dostupnosť: https://hdl.handle.net/2445/225053

OPTICAL DATA PROCESSING SYSTEM ; СИСТЕМА ОПТИЧНОЇ ОБРОБКИ ДАНИХ

Autori: Dymchneko, A. Panfilov, A. Klymenko, S.

Zdroj: Journal of Rocket-Space Technology; Vol. 33 No. 4-28 (2024): Journal of Rocket-Space Technology; 98-107 ; Journal of Rocket-Space Technology; Том 33 № 4-28 (2024): Вісник Дніпровського університету. Серія: Ракетно-космічна техніка; 98-107 ; 3083-6921 ; 2409-4056 ; 10.15421/4524330102

Predmety: AUTOMATIC CONTROL SYSTEMS, OPTICAL DATA PROCESSING SYSTEMS, MICROCONTROLLER TECHNOLOGIES, BRUSHLESS MOTORS, GYROSCOPIC EFFECT, OPTICAL INFRARED SCANNER, INERTIAL NAVIGATION SYSTEMS, AIRCRAFT, SUBORBITAL ROCKET, OPTICAL SENSORS, СИСТЕМИ АВТОМАТИЧНОГО КЕРУВАННЯ, СИСТЕМИ ОБРОБКИ ОПТИЧНИХ ДАНИХ, МІКРОКОНТРОЛЕРНІ ТЕХНОЛОГІЇ, БЕЗКОЛЕКТОРНІ ДВИГУНИ, ГІРОСКОПІЧНИЙ ЕФЕКТ, ОПТИЧНИЙ ІНФРАЧЕРВОНИЙ СКАНЕР, ІНЕРЦІЙНІ НАВІГАЦІЙНІ СИСТЕМИ, ЛІТАЛЬНІ АПАРАТИ, СУБОРБІТАЛЬНА РАКЕТА, ОПТИЧНІ ДАТЧИКИ

Popis súboru: application/pdf

Relation: https://rocketspace.dp.ua/rst/article/view/259/202; https://rocketspace.dp.ua/rst/article/view/259

Dostupnosť: https://rocketspace.dp.ua/rst/article/view/259
https://doi.org/10.15421/452431

Quantencomputing für Dummies

Autori: Hans-Jurgen Steffens Christian Zöllner Kathrin Schäfer

Typ zdroja: eBook.

Predmet: Optical data processing, Computers

Kategórie: COMPUTERS / Optical Data Processing

An improvement over TCP Vegas to enhance its performance in optical burst switching networks

Autori: Poorzare, Reza Calveras Augé, Anna M. Abedidarabad, Siamak a ďalší

Prispievatelia: Poorzare, Reza Calveras Augé, Anna M. Abedidarabad, Siamak a ďalší

Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Predmety: Optical communications, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica::Fibra òptica, 02 engineering and technology, Transmission control protocol, Processament òptic de dades, Optical burst switching (OBS), Average, Enginyeria de la telecomunicació::Telecomunicació òptica::Fibra òptica [Àrees temàtiques de la UPC], Data burst contention, 0202 electrical engineering, electronic engineering, information engineering, Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors::Protocols de comunicació [Àrees temàtiques de la UPC], Comunicacions òptiques, Optical communication, Optical data processing, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors::Protocols de comunicació

Popis súboru: application/pdf

Prístupová URL adresa: https://hdl.handle.net/2117/361009
https://doi.org/10.1007/s10043-021-00652-w

Exploring the U-Net++ Model for Automatic Brain Tumor Segmentation

Autori: Neil Micallef Dylan Seychell Claude J. Bajada

Zdroj: IEEE Access. 9:125523-125539

Predmety: Image segmentation, Artificial intelligence, 03 medical and health sciences, 0302 clinical medicine, Neurology, Brain -- Tumors, Optical data processing

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09530684.pdf
https://www.um.edu.mt/library/oar/handle/123456789/81045