Articles by ALI za
FEEL: fast and effective emotion labeling, a dual ensemble approach for effective facial emotion recognition
As social creatures, humans accompany facial expressions with verbal communication to properly convey their feelings. Along with consolidating communication, facial expression describes intentions and personality (De la Torre & Cohn, 2011). The basic emotions, as traced from facial expressions, are anger, disgust, surprise, happiness, fear, and sadness (Siedlecka & Denson, 2019; Ekman, 1999).
Advanced deep learning and transfer learning approaches for breast cancer classification using advanced multi-line classifiers and datasets with model optimization and interpretability
Breast cancer (BC) remains a significant health challenge globally, with an estimated 310,720 women and 2,800 men expected to be diagnosed with invasive breast cancer in the United States alone in 2024 (Barrios, 2022). This accounts for approximately 1 in 8 women in the country who will be diagnosed with breast cancer in their lifetime.
Research on path planning of mobile robots based on improved A* algorithm
In recent years, with the rapid development of the automation and intelligent era, mobile robots have seen a significant surge in market demand and vast application prospects. They have been widely applied in numerous fields, including healthcare, industry, services, education, and entertainment (Hanxi et al., 2021; Rubio, Valero & Llopis-Albert, 2019; Rybczak, Popowniak & Lazarowska, 2024).
Evaluating machine learning models for predictive accuracy in cryptocurrency price forecasting
The rapid growth and volatility of the cryptocurrency market have captured the attention of traders and researchers, each seeking to harness the potential for high returns through effective trading strategies. Machine learning (ML) techniques, especially classification models, have emerged as powerful tools for analyzing market dynamics and guiding trading decisions within this complex and evolving landscape.
The effect of ecological characteristics on the domestication of sand rice (Agriophyllum squarrosum)
The effect of ecological characteristics on the domestication of sand rice (Agriophyllum squarrosum) 1Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Urat Desert-grassland Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China 2Key Laboratory of Stress Physiology and Ecology in Cold and Arid Region of Gansu Province, Lanzhou, China DOI 10.7717/peerj.18320 Academic Editor Fiore Capozzi Subject Areas...
Impact of Complete Revascularization in the ISCHEMIA Trial
Skip to main page content Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation Save citation to file Format: Add to My Bibliography Your saved search Name of saved search: Search terms: Frequency: Which day? Which day? Report format: Send at most: Send even when there aren't any new results Optional text in email: Create a file for external citation management software J Am Coll Cardiol. Display options Format doi: 10.1016/j.jacc.2023.06.015. Online ahead of print.
Utility of optical coherence tomography in acute coronary syndromes
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Complete Revascularization and Angina-Related Health Status in the ISCHEMIA Trial
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Disparities among black and white patients in plaque burden and composition and long-term impact
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Discrimination of Calcified Nodule as a Cause of Coronary Angiographic Radiolucent Mass
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Recurrence of Protruding Calcified Nodule Visualized Using Optical Coherence Tomography Following Stent Implantation
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Accuracy and limitation of plaque detection by coronary CTA: a section-to-section comparison with optical coherence tomography
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