Empowering face recognition methods using a gan-based single image super-resolution network

MB Shahbakhsh, H Hassanpour - International Journal of Engineering, 2022 - ije.ir
Face recognition is one of the most common authentication techniques widely used due to
its easy access. In many face recognition applications, captured images are often of low …

ResRandSVM: Hybrid approach for acute lymphocytic leukemia classification in blood smear images

A Sulaiman, S Kaur, S Gupta, H Alshahrani… - Diagnostics, 2023 - mdpi.com
Acute Lymphocytic Leukemia is a type of cancer that occurs when abnormal white blood
cells are produced in the bone marrow which do not function properly, crowding out healthy …

Classical fe analysis to classify Parkinson's disease patients

NR Calvo-Ariza, LF Gómez-Gómez… - Electronics, 2022 - mdpi.com
Parkinson's disease (PD) is a neurodegenerative condition that affects the correct
functioning of the motor system in the human body. Patients exhibit a reduced capability to …

Utilizing support vector machines to foster sustainable development and innovation in the clean energy sector via green finance

W Wang, H Huang, X Peng, Z Wang, Y Zeng - Journal of Environmental …, 2024 - Elsevier
As the global demand for clean energy continues to grow, the sustainable development of
clean energy projects has become an important topic of research. in order to optimize the …

Large-scale orthogonal integer wavelet transform features-based active support vector machine for multi-class face recognition

T Dalal, J Yadav - International Journal of Computer …, 2023 - inderscienceonline.com
Support vector machines are widely utilised in the field of Face Recognition (FR) but it
suffers from the drawback of high-computational time. In proposed work, new active set …

Learning using granularity statistical invariants for classification

TT Zhu, CN Li, T Liu, YH Shao - Applied Intelligence, 2024 - Springer
Learning using statistical invariants (LUSI) is a new learning paradigm, which adopts weak
convergence mechanism, and can be applied to a wider range of classification problems …

Automated reading level classification model based on improved orbital pattern

RQ Abed, M Dikmen, E Aydemir, PD Barua… - Multimedia Tools and …, 2024 - Springer
Automatic reading level for detection and classification is a challenging problem in machine
learning. A multilevel feature extraction-based self-organized model may be useful to …

Digital Criminal Biometric Archives (DICA) and Public Facial Recognition System (FRS) for Nigerian criminal investigation using HAAR cascades classifier technique

OJ Ndubuisi, G Adene, BT Sunday, CE Mbonu… - World Journal of …, 2024 - wjaets.com
In Nigeria, there are many different security concerns and thus crimes have increased
despite the fact that there are stringent laws and punishments in place to deter them, making …

Hybrid approach for optimizing the face recognition based on SIFT, SURF and HOG features

MJ AL-Dujaili, HJS Ahily, A Fatlawi - AIP Conference Proceedings, 2023 - pubs.aip.org
Face recognition is essential in security systems, credit card control and criminal
identification. Since years ago, the recognition of people's faces from a designated database …

Handling Imbalanced Classification Problems by Weighted Generalization Memorization Machine

C Dou, Y Lv, Z Wang, L Bai - Applied Artificial Intelligence, 2024 - Taylor & Francis
Imbalanced classification problems are of great significance in life, and there have been
many methods to deal with them, eg eXtreme Gradient Boosting (XGBoost), Logistic …