Results 61 to 70 of about 3,985,830 (299)

A Colour Code Algorithm For Signature Recognition

ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2007
The paper "A Colour Code Algorithm for Signature Recognition" accounts an image processing application where any user can verify signature instantly. The system deals with a Colour code algorithm, which is used to recognize the signature. The paper deals
Vinayak B. Kulkarni
doaj   +1 more source

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

Molecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq, Marc Terrones, Felicia Rodrigues Fortes, Anne Schepers, Alessia Denis, Christophe Deben, Ken Op de Beeck, Guy Van Camp, Geert Vandeweyer   +8 more
wiley   +1 more source

Automated Three-Dimensional Microbial Sensing and Recognition Using Digital Holography and Statistical Sampling

Sensors, 2010
We overview an approach to providing automated three-dimensional (3D) sensing and recognition of biological micro/nanoorganisms integrating Gabor digital holographic microscopy and statistical sampling methods.
Inkyu Moon, Faliu Yi, Bahram Javidi
doaj   +1 more source

INFORMATION TECHNOLOGY OF AUTOMATIC DETECTION AND IDENTIFICATION OF STATIONARY OBJECTS WITH UNMANNED AERIAL VEHICLES

Сучасні інформаційні системи, 2020
The subject matter of the article is the process of developing information technology for the automated detection and identification of stationary objects by unmanned aerial vehicles arises.
Andrii Bеrеzhnyi, Andrii Trystan, Oleh Lavrov   +2 more
doaj   +1 more source

Preoperative circulating tumor cells integrated with imaging analysis for prognostic evaluation in head and neck squamous cell carcinoma

Molecular Oncology, EarlyView.
Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach, Gizem Abaci, Tom Huberty, Axel Lechner, Lukas Käsmann, Jens Ricke, Sophia Stöcklein, Martin Canis, Philipp Baumeister, Marianna Alunni‐Fabbroni   +9 more
wiley   +1 more source

Self-Explaining Neural Networks for Food Recognition and Dietary Analysis

BioMedInformatics
Food pattern recognition plays a crucial role in modern healthcare by enabling automated dietary monitoring and personalised nutritional interventions, particularly for vulnerable populations with complex dietary needs.
Zvinodashe Revesai, Okuthe P. Kogeda
doaj   +1 more source

Label-free classification of cells based on supervised machine learning of subcellular structures.

PLoS ONE, 2019
It is demonstrated that cells can be classified by pattern recognition of the subcellular structure of non-stained live cells, and the pattern recognition was performed by machine learning. Human white blood cells and five types of cancer cell lines were
Yusuke Ozaki, Hidenao Yamada, Hirotoshi Kikuchi, Amane Hirotsu, Tomohiro Murakami, Tomohiro Matsumoto, Toshiki Kawabata, Yoshihiro Hiramatsu, Kinji Kamiya, Toyohiko Yamauchi, Kentaro Goto, Yukio Ueda, Shigetoshi Okazaki, Masatoshi Kitagawa, Hiroya Takeuchi, Hiroyuki Konno   +15 more
doaj   +1 more source

An inverse problem approach to pattern recognition in industry

Applied Computing and Informatics, 2015
Many works have shown strong connections between learning and regularization techniques for ill-posed inverse problems. A careful analysis shows that a rigorous connection between learning and regularization for inverse problem is not straightforward. In
Ali Sever
doaj   +1 more source

Machine learning methods for functional recovery prediction and prognosis in post-stroke rehabilitation: a systematic review

Journal of NeuroEngineering and Rehabilitation, 2022
Background Rehabilitation medicine is facing a new development phase thanks to a recent wave of rigorous clinical trials aimed at improving the scientific evidence of protocols. This phenomenon, combined with new trends in personalised medical therapies,
Silvia Campagnini, Chiara Arienti, Michele Patrini, Piergiuseppe Liuzzi, Andrea Mannini, Maria Chiara Carrozza   +5 more
doaj   +1 more source

Pattern recognition for automated die bonding

, 2012
published_or_final_version ; Electrical Engineering ; Master ; Master of ...
openaire   +2 more sources