Results 1 to 10 of about 38,848 (118)

SIFT-CNN: When Convolutional Neural Networks Meet Dense SIFT Descriptors for Image and Sequence Classification

open access: yesJournal of Imaging, 2022
Despite the success of hand-crafted features in computer visioning for many years, nowadays, this has been replaced by end-to-end learnable features that are extracted from deep convolutional neural networks (CNNs).
Dimitrios Tsourounis   +4 more
doaj   +3 more sources

Currency recognition using a smartphone: Comparison between color SIFT and gray scale SIFT algorithms

open access: yesJournal of King Saud University: Computer and Information Sciences, 2017
Banknote recognition means classifying the currency (coin and paper) to the correct class. In this paper, we developed a dataset for Jordanian currency.
Iyad Abu Doush, Sahar AL-Btoush
doaj   +3 more sources

Fast mosaicing method based on image resizing pre-processing [PDF]

open access: yesJournal of Graphic Engineering and Design, 2023
In recent years, mosaic images have found great success thanks to the increasing development in the field of imaging as well as the technological evolution of computer systems (camera, mobile, etc.).
Abderrahmane Laraqui   +2 more
doaj   +1 more source

Evaluating Functional and Structural Consequences of the most Deleterious Single Nucleotide Polymorphisms of Human C-X-C Motif Chemokine 10 (CXCL10) Using in silico Analyses [PDF]

open access: yesJournal of Genetic Resources, 2021
Single Nucleotide Polymorphisms, especially non-synonymous single-nucleotide polymorphisms (nsSNPs), which are the cause of various diseases, are a major issue in genetics.
Mozhdeh Riahi, Mojtaba Emadi Baygi
doaj   +1 more source

ARCHIMEDES: Active Reasoning Conducted with Heterogeneous Information Monitors for Evading Dangers and Extended Surveillance

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference, 2023
ARCHIMEDES is a suite of algorithms for planning and task allocation to monitor and surveil a geometrically defined area with a group of heterogenous agents. We focus on maximizing the information gained over a fleet of such agents.
Simon Schoenbeck, Ugur Kuter
doaj   +1 more source

Analysis and Implementation of an Efficient Traffic Sign Recognition Based on YOLO and SIFT for Turtlebot3 Robot

open access: yesProceedings of the International Conference on Applied Innovations in IT, 2023
Traffic Sign Recognition (TSR) is one of the key aspects for autonomous driving and it plays a vital role to make autonomous driving successful, but that’s only possible if TSR is efficient enough and reliable.
Stefan Twieg, Ravin Menghani
doaj   +1 more source

Method for selection macular edema region using optical coherence tomography data [PDF]

open access: yesКомпьютерная оптика, 2020
The paper proposes a method for selection the region of diabetic macular edema in fundus images using OCT data. The relevance of the work is due to the need to create support systems for laser coagulation to increase its effectiveness.
Nataly Ilyasova   +4 more
doaj   +1 more source

Sorting Intolerant from Tolerant and PolyPhen-2 Algorithms: A Variation in Exon 14 of ATP7B Gene among 4 West Iraqi Families with Wilson’s Disease [PDF]

open access: yesAl-Anbar Medical Journal, 2023
Background: Wilson disease (WD) is a genetic disorder (autosomal recessive) that affects copper metabolism. A favorable prognosis for WD can be achieved with early diagnosis and treatment.
Omar Qahtan
doaj   +1 more source

Preaching on the revised common lectionary for the feast of Christ the King: Joy for intuitive thinking types, nightmare for sensing feeling types?

open access: yesHTS Teologiese Studies/Theological Studies, 2021
This qualitative study was positioned within an emerging scientific field concerned with the interaction between biblical text and the psychological profile of the preacher.
Leslie J. Francis   +2 more
doaj   +1 more source

Indoor Place Recognition and Localization Using Histogram of Oriented Gradient with Deep Learning

open access: yesZanco Journal of Pure and Applied Sciences, 2020
Indoor place recognition is a crucial and challenging field of computer science. It is widely used in robotics and computer vision for various applications.
zina khaleel jalal   +2 more
doaj   +1 more source

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