Conceptual and empirical comparison of dimensionality reduction algorithms (pca, kpca, lda, mds, svd, lle, isomap, le, ica, t-sne)

F Anowar, S Sadaoui, B Selim - Computer Science Review, 2021 - Elsevier
Abstract Feature Extraction Algorithms (FEAs) aim to address the curse of dimensionality
that makes machine learning algorithms incompetent. Our study conceptually and …

[HTML][HTML] Redefining radiology: a review of artificial intelligence integration in medical imaging

R Najjar - Diagnostics, 2023 - mdpi.com
This comprehensive review unfolds a detailed narrative of Artificial Intelligence (AI) making
its foray into radiology, a move that is catalysing transformational shifts in the healthcare …

A systematic literature review on phishing email detection using natural language processing techniques

S Salloum, T Gaber, S Vadera, K Shaalan - IEEE Access, 2022 - ieeexplore.ieee.org
Every year, phishing results in losses of billions of dollars and is a major threat to the Internet
economy. Phishing attacks are now most often carried out by email. To better comprehend …

A review of the trends and challenges in adopting natural language processing methods for education feedback analysis

T Shaik, X Tao, Y Li, C Dann, J McDonald… - Ieee …, 2022 - ieeexplore.ieee.org
Artificial Intelligence (AI) is a fast-growing area of study that stretching its presence to many
business and research domains. Machine learning, deep learning, and natural language …

[HTML][HTML] Integrating machine learning with human knowledge

C Deng, X Ji, C Rainey, J Zhang, W Lu - Iscience, 2020 - cell.com
Machine learning has been heavily researched and widely used in many disciplines.
However, achieving high accuracy requires a large amount of data that is sometimes …

[HTML][HTML] Tool condition monitoring for high-performance machining systems—A review

A Mohamed, M Hassan, R M'Saoubi, H Attia - Sensors, 2022 - mdpi.com
In the era of the “Industry 4.0” revolution, self-adjusting and unmanned machining systems
have gained considerable interest in high-value manufacturing industries to cope with the …

[HTML][HTML] Vgg16 feature extractor with extreme gradient boost classifier for pancreas cancer prediction

W Bakasa, S Viriri - Journal of Imaging, 2023 - mdpi.com
The prognosis of patients with pancreatic ductal adenocarcinoma (PDAC) is greatly
improved by an early and accurate diagnosis. Several studies have created automated …

[Retracted] A New Face Image Recognition Algorithm Based on Cerebellum‐Basal Ganglia Mechanism

S Tang, M Shabaz - Journal of healthcare engineering, 2021 - Wiley Online Library
Face recognition is one of the popular areas of research in the field of computer vision. It is
mainly used for identification and security system. One of the major challenges in face …

Deep learning in cervical cancer diagnosis: architecture, opportunities, and open research challenges

N Youneszade, M Marjani, CP Pei - IEEE Access, 2023 - ieeexplore.ieee.org
Nowadays, deep learning (DL) is a popular tool used in various applications in different
fields, including the medical domain. DL techniques can cope with several challenges …

A survey of smart home iot device classification using machine learning-based network traffic analysis

H Jmila, G Blanc, MR Shahid, M Lazrag - IEEE Access, 2022 - ieeexplore.ieee.org
Smart home IoT devices lack proper security, raising safety and privacy concerns. One-size-
fits-all network administration is ineffective because of the diverse QoS requirements of IoT …