Search Results - "automatic computer vision algorithm"

Automatic image‐based detection and inspection of paper fibres for grasping

Authors: Hirvonen, Juha Kallio, Pasi Tampere University et al.

Contributors: Hirvonen, Juha Kallio, Pasi Tampere University et al.

Source: IET Computer Vision, Vol 9, Iss 4, Pp 588-594 (2015)

Subject Terms: 0209 industrial biotechnology, microgrippers, 213 Electronic, automation and communications engineering, electronics, Computer applications to medicine. Medical informatics, R858-859.7, automatic image-based detection, 02 engineering and technology, 113 Computer and information sciences, 16. Peace & justice, grasping point detection, automatic computer vision algorithm, QA76.75-76.765, 0202 electrical engineering, electronic engineering, information engineering, Computer software, paper fibres, automatic image-based inspection

File Description: fulltext

Access URL: https://doaj.org/article/7fe39e1919874063a11b166eab7bac79
https://dblp.uni-trier.de/db/journals/iet-cvi/iet-cvi9.html#HirvonenK15
https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/iet-cvi.2014.0416
https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2014.0416
https://trepo.tuni.fi/handle/10024/125659

Observation of super-Alfvénic slippage of reconnecting magnetic field lines on the Sun.

Authors: Lörinčík, Juraj Dudík, Jaroslav Sainz Dalda, Alberto et al.

Source: Nature Astronomy; Jan2025, Vol. 9 Issue 1, p45-54, 10p

Computer-extracted MR imaging features are associated with survival in glioblastoma patients.

Authors: Mazurowski, Maciej Zhang, Jing Peters, Katherine et al.

Source: Journal of Neuro-Oncology; Dec2014, Vol. 120 Issue 3, p483-488, 6p

Updating predictions in a complex repertoire of actions and its neural representation.

Authors: Selvan, Rosari Naveena Cheng, Minghao Siestrup, Sophie et al.

Source: NeuroImage. Aug2024, Vol. 296, pN.PAG-N.PAG. 1p.

Subject Terms: *MOTOR cortex, *COMPUTERS, *COMPUTER vision, *ALGORITHMS, *FORECASTING

Education History Other.

Source: Movement Disorders; Sep2024 Supplement 1, Vol. 39, pS859-S896, 38p

Identifying Autism with Head Movement Features by Implementing Machine Learning Algorithms.

Authors: Zhao, Zhong Zhu, Zhipeng Zhang, Xiaobin et al.

Source: Journal of Autism & Developmental Disorders; Jul2022, Vol. 52 Issue 7, p3038-3049, 12p, 1 Color Photograph, 2 Diagrams, 3 Charts, 3 Graphs

Subject Terms: DIAGNOSIS of autism, HEAD physiology, BIOMARKERS, DECISION trees, MACHINE learning, BODY movement, ALGORITHMS

The Analysis of Pain Research through the Lens of Artificial Intelligence and Machine Learning.

Authors: Nagireddi, Jagadesh N. Vyas, Amanya Ketan Sanapati, Mahendra R. et al.

Source: Pain Physician; Mar2022, Vol. 25 Issue 2, pE211-E243, 33p

Atypical Head Movement during Face‐to‐Face Interaction in Children with Autism Spectrum Disorder.

Authors: Zhao, Zhong Zhu, Zhipeng Zhang, Xiaobin et al.

Source: Autism Research: Official Journal of the International Society for Autism Research; Jun2021, Vol. 14 Issue 6, p1197-1208, 12p

0689 Automated Detection of Isolated REM Sleep Behaviour Disorder Using Computer Vision

Authors: Mohamed Abdelfattah Oliver Sum-Ping Joanna Galati et al.

Source: SLEEP. 47:A295-A295

Subject Terms: 03 medical and health sciences, 0302 clinical medicine

The Guadalfeo Monitoring Network (Sierra Nevada, Spain): 14 years of measurements to understand the complexity of snow dynamics in semiarid regions.

Authors: Polo, María J. Herrero, Javier Pimentel, Rafael et al.

Source: Earth System Science Data; 2019, Vol. 11 Issue 1, p393-407, 15p, 1 Diagram, 3 Charts, 6 Graphs, 2 Maps

Subject Terms: ARID regions, SNOW cover, SNOW, AUTOMATIC meteorological stations, METEOROLOGICAL stations, ATMOSPHERIC temperature, HUMIDITY

Geographic Terms: EUROPE, SIERRA Nevada (Calif. & Nev.)

Automated detection of bright lesions from contrast normalized fundus images

Authors: Malay Kishore Dutta Carlos M. Travieso Rishabh Madan et al.

Contributors: Malay Kishore Dutta Carlos M. Travieso Rishabh Madan et al.

Source: 2016 9th International Conference on Contemporary Computing, IC3 2016 (7880224)
accedaCRIS portal de investigación de la Universidad de las Palmas de Gran Canaria
instname

Subject Terms: 03 medical and health sciences, Diabetic Retinopathy, 0302 clinical medicine, Contrast adjustment, 3314 Tecnología médica, 0202 electrical engineering, electronic engineering, information engineering, Exudates, Fundus Image, Top-Hat Transform, 02 engineering and technology, Average filter

Access URL: http://hdl.handle.net/10553/48805
https://accedacris.ulpgc.es/handle/10553/48805
https://dblp.uni-trier.de/db/conf/ic3/ic3-2016.html#IssacMDT16
https://ieeexplore.ieee.org/document/7880224/

Target segmentation and tracking of medical endoscopic images.

Authors: Hu, Xiaobo Hu, Xiaomin

Source: Proceedings of SPIE; 8/8/2023, Vol. 12617, p1261742-1261742, 1p

Automatic Image Analysis for Rapid Drug Susceptibility Testing.

Authors: Andrey GRUSHNIKOV Kazuma KIKUCHI Yoshimi MATSUMOTO et al.

Source: Advanced Biomedical Engineering; 2017, Vol. 6, p76-82, 7p

Video-based Real-time Automated Distance Estimation at Sea (RADES) for marine mammal mitigation.

Authors: Baruwa, Abdulquadir L. Evans, Adrian N. Watson, Robert J. et al.

Source: 2013 MTS/IEEE OCEANS - Bergen; 2013, p1-5, 5p

Computer-extracted MR imaging features are associated with survival in glioblastoma patients

Authors: Maciej A. Mazurowski Katherine B. Peters Jing Zhang et al.

Source: Journal of Neuro-Oncology. 120:483-488

Subject Terms: Adult, Aged, 80 and over, Male, Likelihood Functions, Adolescent, Brain Neoplasms, Brain, Kaplan-Meier Estimate, Middle Aged, Prognosis, Magnetic Resonance Imaging, Pattern Recognition, Automated, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, Image Interpretation, Computer-Assisted, Multivariate Analysis, Humans, Female, Glioblastoma, 10. No inequality, Algorithms, Aged, Proportional Hazards Models

Access URL: https://pubmed.ncbi.nlm.nih.gov/25151504
https://link.springer.com/article/10.1007/s11060-014-1580-5
https://deckard.duhs.duke.edu/~mazurowski/pdfs/jno2014.pdf

Automatic analysis of altered gait in arylsulphatase A-deficient mice in the open field.

Authors: LEROY, TOON STROOBANTS, STIJN AERTS, JEAN-MARIE et al.

Source: Behavior Research Methods; Aug2009, Vol. 41 Issue 3, p787-794, 8p, 5 Diagrams, 2 Charts, 3 Graphs

Subject Terms: GAIT in animals, ANIMAL locomotion, ARYLSULFATASES, ANIMAL mechanics, LABORATORY mice

High Throughput and High Resolution In-Line Monitoring of PEMFC Materials by Means of Visible Light Diffuse Reflectance Imaging and Computer Vision

Authors: Peter Rupnowski Bhushan Sopori Michael Ulsh

Source: ASME 2015 13th International Conference on Fuel Cell Science, Engineering and Technology.

Subject Terms: 7. Clean energy, 01 natural sciences, 3. Good health, 0104 chemical sciences

Access URL: https://nanoengineeringmedical.asmedigitalcollection.asme.org/FUELCELL/proceedings-abstract/FUELCELL2015/56611/V001T04A002/232882
https://asmedigitalcollection.asme.org/FUELCELL/proceedings-pdf/FUELCELL2015/56611/V001T04A002/4453473/v001t04a002-fuelcell2015-49212.pdf
https://asmedigitalcollection.asme.org/FUELCELL/proceedings/FUELCELL2015/56611/V001T04A002/232882
https://risk.asmedigitalcollection.asme.org/FUELCELL/proceedings/FUELCELL2015/56611/V001T04A002/232882
http://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=2466975
https://journals.asmedigitalcollection.asme.org/FUELCELL/proceedings/FUELCELL2015/56611/V001T04A002/232882

Towards Lifespan Automation for Caenorhabditis elegans Based on Deep Learning: Analysing Convolutional and Recurrent Neural Networks for Dead or Live Classification.

Authors: García Garví, Antonio Puchalt, Joan Carles Layana Castro, Pablo E. et al.

Source: Sensors (14248220); Jul2021, Vol. 21 Issue 14, p4943-4943, 1p

Subject Terms: RECURRENT neural networks, CONVOLUTIONAL neural networks, DEEP learning, CAENORHABDITIS elegans, DATA augmentation, COMPUTER vision

Low cost low energy embedded processors for on-line biotechnology monitoring applications

Χαμηλού κόστους χαμηλής κατανάλωσης ενσωματωμένοι επεξεργαστές για βιοτεχνολογικές on-line monitoring εφαρμογές

Authors: Κρητικάκου, Αγγελική

Thesis Advisors: Γκούτης, Κωνσταντίνος, Kritikakou, Angeliki, Στουραίτης, Αθανάσιος, Αλεξίου, Γεώργιος

Subject Terms: Low energy, Embedded processors, Low cost, Biotechnology applications, Datapath, ASIP, 004.6, Χαμηλή κατανάλωση ενέργειας, Ενσωματωμένοι επεξεργαστές, Χαμηλό κόστος, Βιοτεχνολογικές εφαρμογές

Relation: Η ΒΥΠ διαθέτει αντίτυπο της διατριβής σε έντυπη μορφή στο βιβλιοστάσιο διδακτορικών διατριβών που βρίσκεται στο ισόγειο του κτιρίου της.

Availability: http://nemertes.lis.upatras.gr/jspui/handle/10889/1731

Low cost low energy embedded processors for on-line biotechnology monitoring applications

Contributors: Γκούτης, Κωνσταντίνος Kritikakou, Angeliki Στουραίτης, Αθανάσιος et al.

Subject Terms: Low energy, Embedded processors, Low cost, Datapath, ASIP, Ενσωματωμένοι επεξεργαστές, Biotechnology applications, 004.6, Χαμηλή κατανάλωση ενέργειας, Βιοτεχνολογικές εφαρμογές, Χαμηλό κόστος

Access URL: http://nemertes.lis.upatras.gr/jspui/handle/10889/1731