Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Sohail Masood Bhatti"'
Publikováno v:
Algorithms, Vol 17, Iss 10, p 458 (2024)
Students’ behavioral and emotional engagement in the classroom environment may reflect the students’ learning experience and subsequent educational outcomes. The existing research has overlooked the measurement of behavioral and emotional engagem
Externí odkaz:
https://doaj.org/article/5c5e7fe28af74cc5b21ecec37e1a5941
Autor:
Jawad Ahmad, Sheeraz Akram, Arfan Jaffar, Zulfiqar Ali, Sohail Masood Bhatti, Awais Ahmad, Shafiq Ur Rehman
Publikováno v:
PLoS ONE, Vol 19, Iss 7, p e0304757 (2024)
Recent advancements in AI, driven by big data technologies, have reshaped various industries, with a strong focus on data-driven approaches. This has resulted in remarkable progress in fields like computer vision, e-commerce, cybersecurity, and healt
Externí odkaz:
https://doaj.org/article/38592ccd874945acaa68af02b0fd73a8
Publikováno v:
IEEE Access, Vol 11, Pp 108386-108397 (2023)
The most lethal and devastating form of cancer, breast cancer, is often first detected when a lump appears in the breast. The cause can be attributed to a typical proliferation of cells in the mammary glands. Early breast cancer detection improves su
Externí odkaz:
https://doaj.org/article/ed0715ad5aa24742b1b5f7e3a683c9d3
Publikováno v:
IEEE Access, Vol 11, Pp 94281-94289 (2023)
Facial expression recognition (FER) is advancing human-computer interaction, especially, today, where facial masks are commonly worn due to the COVID-19 pandemic. Traditional unimodal techniques for facial expression recognition may be ineffective un
Externí odkaz:
https://doaj.org/article/aecc95d6de164d71a645e73a7cb02219
Autor:
H. M. Shahzad, Sohail Masood Bhatti, Arfan Jaffar, Sheeraz Akram, Mousa Alhajlah, Awais Mahmood
Publikováno v:
Applied Sciences, Vol 13, Iss 9, p 5572 (2023)
In computer vision, the convolutional neural network (CNN) is a very popular model used for emotion recognition. It has been successfully applied to detect various objects in digital images with remarkable accuracy. In this paper, we extracted learne
Externí odkaz:
https://doaj.org/article/2c301f09c13d48d7ada840063d34b710
Publikováno v:
Intelligent Automation & Soft Computing. 36:1561-1570
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1cb07794c45f1de48d91288213d6b05
https://doi.org/10.32604/iasc.2023.032525
https://doi.org/10.32604/iasc.2023.032525
Publikováno v:
Intelligent Automation & Soft Computing. 32:1195-1205
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0e7aa088648fe1d8c81d120c25f37b4
https://doi.org/10.32604/iasc.2022.022160
https://doi.org/10.32604/iasc.2022.022160
Publikováno v:
2019 2nd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET).
With the advancement in technology and popularity of e-commerce, the number of online shopping websites have been increased rapidly in the cyber world. This made people's life easy because it is easy to shop through internet. But this also bring effo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::487fbfaa75d854c419dea8213b31f9cc
https://doi.org/10.1109/icomet.2019.8673399
https://doi.org/10.1109/icomet.2019.8673399
Autor:
Luis Franco, Fernando Huenupan, Sohail Masood Bhatti, Millaray Curilem, Jorge Wuth, Muhammad Salman Khan, Néstor Becerra Yoma
Publikováno v:
Journal of Volcanology and Geothermal Research. 324:134-143
In this paper we propose an automatic volcano event detection system based on Hidden Markov Model (HMM) with state and event duration models. Since different volcanic events have different durations, therefore the state and whole event durations lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4983d96a1d9aa27f51f0ca665f89535f
https://doi.org/10.1016/j.jvolgeores.2016.05.015
https://doi.org/10.1016/j.jvolgeores.2016.05.015
Autor:
Alvaro Valencia, Ismael Soto, Fabian Seguel, Sohail Masood Bhatti, Muhammad Salman Khan, Gonzalo Montes-Atenas, Néstor Becerra Yoma
Publikováno v:
International Communications in Heat and Mass Transfer. 76:197-201
Accurate characterization of two phase bubbly flows is crucial in many industrial processes such as fluidized reactors, ore froth flotation, etc. The bubble size determines the rate at which components present in the gas phase are transferred to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbd43399ebd15c03d65534e7936f1cad
https://doi.org/10.1016/j.icheatmasstransfer.2016.05.031
https://doi.org/10.1016/j.icheatmasstransfer.2016.05.031