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Articles

FEEL: fast and effective emotion labeling, a dual ensemble approach for effective facial emotion recognition

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By ALI za, Shuiping Wang, Akeh LJ, Kusuma GP
| PeerJ
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).
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Advanced deep learning and transfer learning approaches for breast cancer classification using advanced multi-line classifiers and datasets with model optimization and interpretability

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By Ahmad HM, ALI za, Frank Turner SJ, El Houby EM
| PeerJ
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.
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Research on path planning of mobile robots based on improved A* algorithm

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By ALI za, Xing Fu, Zucheng Huang, Jin Zhu P
| PeerJ
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).
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