Results 11 to 20 of about 735,517 (309)

Diagnosis of Breast Cancer Based on Hybrid Features Extraction in Dynamic Contrast Enhanced Magnetic Resonance Imaging

, 2023
Breast cancer develops in breast cells. It is the most common type of cancer in women and the second most lethal disease after lung cancer. The presence of breast masses is an important symptom for detecting breast cancer in its early stages.
Hasan, A.M., Jalab, H.A., Al-Waely, K.N.A., Aljobouri, H.K., Meziane, F., Ibrahim, W.I.   +5 more
core   +1 more source

Comparison of different features extraction methods.

, 2022
Comparison of different features extraction methods.
Hamzah Arof (388154), Ainuddin Wahid Abdul Wahab (13833656), Sulaiman Wadi Harun (8654958), Mohd Yamani Idna Idris (13833659), Siti Salbiah Samsudin (13833653)   +4 more
core   +1 more source

Sign Language Recognition Using Multiple Kernel Learning: A Case Study of Pakistan Sign Language

IEEE Access, 2021
All over the world, deaf people use sign language as the only reliable source of communication with each other as well as with normal people. These communicating signs are made up of the shape of the hand and movement.
Farman Shah, Muhammad Saqlain Shah, Waseem Akram, Awais Manzoor, Rasha Orban Mahmoud, Diaa Salama Abdelminaam   +5 more
doaj   +1 more source

Application of Machine Learning Techniques for Bearing Fault Diagnosis [PDF]

Journal of Applied and Computational Mechanics
Machine learning enhances machine diagnostics through advanced data analysis, pattern recognition, and fault prediction. This study investigates the application of machine learning algorithms for bearing fault detection.
Sarra Eddai, Nabih Feki, Ahmed Ghorbel, Abdelkhalak El Hami, Mohamed Haddar   +4 more
doaj   +1 more source

Fall Detection System-Based Posture-Recognition for Indoor Environments

Journal of Imaging, 2021
The majority of the senior population lives alone at home. Falls can cause serious injuries, such as fractures or head injuries. These injuries can be an obstacle for a person to move around and normally practice his daily activities.
Abderrazak Iazzi, Mohammed Rziza, Rachid Oulad Haj Thami   +2 more
doaj   +1 more source

3D Object Recognition Using Fast Overlapped Block Processing Technique

Sensors, 2022
Three-dimensional (3D) image and medical image processing, which are considered big data analysis, have attracted significant attention during the last few years.
Basheera M. Mahmmod, Sadiq H. Abdulhussain, Marwah Abdulrazzaq Naser, Muntadher Alsabah, Abir Hussain, Dhiya Al-Jumeily   +5 more
doaj   +1 more source

Relational autoencoder for feature extraction [PDF]

2017 International Joint Conference on Neural Networks (IJCNN), 2017
Feature extraction becomes increasingly important as data grows high dimensional. Autoencoder as a neural network based feature extraction method achieves great success in generating abstract features of high dimensional data. However, it fails to consider the relationships of data samples which may affect experimental results of using original and new
Qinxue Meng, Daniel R. Catchpoole, David B. Skillicorn, Paul J. Kennedy   +3 more
openaire   +2 more sources

Linear feature extraction for ranking [PDF]

Information Retrieval Journal, 2018
We address the feature extraction problem for document ranking in information retrieval. We then propose LifeRank, a Linear feature extraction algorithm for Ranking. In LifeRank, we regard each document collection for ranking as a matrix, referred to as the original matrix.
Gaurav Pandey 0003, Zhaochun Ren, Shuaiqiang Wang, Jari Veijalainen, Maarten de Rijke   +4 more
openaire   +3 more sources

Features Extraction from High Frequency Domain for Retina Digital Images Classification

Journal of Advances in Information Technology, 2013
The purpose of this paper is to extract features from retina digital images based on a further analysis of high frequency components (HH) obtained with the discrete wavelet transform (DWT).
Salim Lahmiri
doaj   +1 more source

Fault Detection and Severity Level Identification of Spiral Bevel Gears under Different Operating Conditions Using Artificial Intelligence Techniques

Machines, 2021
Spiral bevel gears are known for their smooth operation and high load carrying capability; therefore, they are an important part of many transmission systems that are designed for high speed and high load applications.
Syed Muhammad Tayyab, Steven Chatterton, Paolo Pennacchi   +2 more
doaj   +1 more source