Duplicate image representation based on semi-supervised learning

M Chen, J Yan, T Gao, Y Li, H Ma - International Journal of Grid and …, 2022 - igi-global.com
For duplicate image detection, the more advanced large-scale image retrieval systems in
recent years have mainly used the Bag-of-Feature (BoF) model to meet the real-time …

A simple security application using real-time face recognition

AAYA Hammadı - 2022 - openaccess.ahievran.edu.tr
Facial recognition is an important research problem that best fits the purpose of the image
analysis research field, covering many fields and disciplines, including security applications …

A Novel Efficient Discriminative Projection Learning for Big Data

Y Cui, J Jiang, X Jiang, Y Dai - … , Intl Conf on Cloud and Big …, 2022 - ieeexplore.ieee.org
For big data, hashing methods are currently utilized to learn hash codes; however, the
performance of hashing methods degenerates rapidly as the code length increases. In …

Examining a patient with a stethoscope using an arduino device

SWA Alathibani - 2021 - openaccess.altinbas.edu.tr
The stethoscope is an audio medical expedient for auscultation, or hearing to interior
sounds of an physical or human body. Arduino is a physical programming platform …

Detection and recognition face framework by using conventional neural network CNN

WAH Alsaadi - 2022 - openaccess.altinbas.edu.tr
This master's thesis applied image processing and deep learning to the problem of many
exposures in a single photo. Optimizing image processing encourages convolutional neural …

A Simple Security Application Using Real-Time Face Recognition

AAY Al Hammadı - 2022 - search.proquest.com
Yüz tanıma, güvenlik uygulamaları ve ticari uygulamalar da dahil olmak üzere birçok alanı
ve disiplini kapsayan, görüntü analizi araştırma alanının amacına en uygun olan önemli bir …

An efficient face recognition application using several transfers learning and classification techniques

AAJ Jasim - 2021 - openaccess.altinbas.edu.tr
In this study, new face recognition method based CNN and auto-encoders based PSO are
presented. the aim of the CNN is extracted high level features from face images. The …

Artificial neural network approach for heart disease classification

KHK Kamil - 2020 - openaccess.altinbas.edu.tr
This research presents a new framework for heart diseases detection which is basically
designed based on random forest (RF) and Kmean concepts based PSO. The main …

Efficient construction cost estimation software using convolutional neural network and particle swarm optimization algorithm (PSO)

M Mohammed Hamad Alsabaawı - 2020 - openaccess.altinbas.edu.tr
Early time cost estimation plays an important role in the achievement of each construction
project. Entirely parties included in the project construction; holders, workers and …