Results 41 to 50 of about 957,081 (355)

Method of Myelogram Analysis in Leukocyte Recognition Systems [PDF]

open access: yes, 2018
An approach for the formation of a myelogram was proposed. It is based on digital image processing and pattern recognition. It is used in automated analysis of blood smears and bone marrow. The proposed approach is implemented in an automated recognition
Beznos, O A   +14 more
core   +2 more sources

Fully Automated Binary Pattern Extraction For Finger Vein Identification using Double Optimization Stages-Based Unsupervised Learning Approach [PDF]

open access: yesarXiv, 2022
Today, finger vein identification is gaining popularity as a potential biometric identification framework solution. Machine learning-based unsupervised, supervised, and deep learning algorithms have had a significant influence on finger vein detection and recognition at the moment.
arxiv  

Automated Face Recognition: Challenges and Solutions [PDF]

open access: yes, 2016
Automated face recognition (AFR) aims to identify people in images or videos using pattern recognition techniques. Automated face recognition is widely used in applications ranging from social media to advanced authentication systems.
Olszewska, Joanna Isabelle
core   +2 more sources

Recognizing Temporal Information in Korean Clinical Narratives through Text Normalization [PDF]

open access: yesHealthcare Informatics Research, 2011
ObjectivesAcquiring temporal information is important because knowledge in clinical narratives is time-sensitive. In this paper, we describe an approach that can be used to extract the temporal information found in Korean clinical narrative texts ...
Youngho Kim, Jinwook Choi
doaj   +1 more source

Woven Fabric Pattern Recognition and Classification Based on Deep Convolutional Neural Networks

open access: yesElectronics, 2020
The weave pattern (texture) of woven fabric is considered to be an important factor of the design and production of high-quality fabric. Traditionally, the recognition of woven fabric has a lot of challenges due to its manual visual inspection. Moreover,
Muhammad Ather Iqbal Hussain   +3 more
semanticscholar   +1 more source

A novel automated tower graph based ECG signal classification method with hexadecimal local adaptive binary pattern and deep learning

open access: yesJournal of Ambient Intelligence and Humanized Computing, 2021
Electrocardiography (ECG) signal recognition is one of the popular research topics for machine learning. In this paper, a novel transformation called tower graph transformation is proposed to classify ECG signals with high accuracy rates.
A. Subasi, S. Dogan, T. Tuncer
semanticscholar   +1 more source

The Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detector. [PDF]

open access: yes, 2018
The development and operation of liquid-argon time-projection chambers for neutrino physics has created a need for new approaches to pattern recognition in order to fully exploit the imaging capabilities offered by this technology.
Acciarri, R   +99 more
core  

Identification of novel small molecule inhibitors of ETS transcription factors

open access: yesFEBS Letters, EarlyView.
ETS transcription factors play an essential role in tumourigenesis and are indispensable for sprouting angiogenesis, a hallmark of cancer, which fuels tumour expansion and dissemination. Thus, targeting ETS transcription factor function could represent an effective, multifaceted strategy to block tumour growth. The evolutionarily conserved E‐Twenty‐Six
Shaima Abdalla   +9 more
wiley   +1 more source

Flow‐based immunomagnetic enrichment of circulating tumor cells from diagnostic leukapheresis product

open access: yesMolecular Oncology, EarlyView.
The number of circulating tumor cells obtained from prostate cancer patients was increased approximately 5‐fold compared to regular CellSearch when processing 2 mL diagnostic leukapheresis material aliquots and increased by 44‐fold when processing 20 mL DLA aliquots using the flow enrichment target capture Halbach‐array.
Michiel Stevens   +8 more
wiley   +1 more source

A Narrative Methodology to Recognize Iris Patterns By Extracting Features Using Gabor Filters and Wavelets

open access: yesMATEC Web of Conferences, 2016
Iris pattern Recognition is an automated method of biometric identification that uses mathematical pattern-Recognition techniques on images of one or both of the irises of an individual’s eyes, whose complex random patterns are unique, stable, and can be
Shristi Jha, Sindhu B.M., Venkatesan S.
doaj   +1 more source

Home - About - Disclaimer - Privacy