Results 41 to 50 of about 957,081 (355)
Method of Myelogram Analysis in Leukocyte Recognition Systems [PDF]
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]
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]
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]
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
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
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]
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
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
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
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