Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Moloud Abdar"'
Autor:
Vahid Salari, Dilip Paneru, Erhan Saglamyurek, Milad Ghadimi, Moloud Abdar, Mohammadreza Rezaee, Mehdi Aslani, Shabir Barzanjeh, Ebrahim Karimi
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract Face recognition is one of the most ubiquitous examples of pattern recognition in machine learning, with numerous applications in security, access control, and law enforcement, among many others. Pattern recognition with classical algorithms
Externí odkaz:
https://doaj.org/article/de6d1dee0fbb41b6bfab21f9c82d5a6d
Autor:
Nail Chabane, Achraf Bouaoune, Reda Tighilt, Moloud Abdar, Alix Boc, Etienne Lord, Nadia Tahiri, Bogdan Mazoure, U Rajendra Acharya, Vladimir Makarenkov
Publikováno v:
PLoS ONE, Vol 17, Iss 12, p e0278364 (2022)
Next basket recommendation is a critical task in market basket data analysis. It is particularly important in grocery shopping, where grocery lists are an essential part of shopping habits of many customers. In this work, we first present a new groce
Externí odkaz:
https://doaj.org/article/6723ce758d8a4f8a8bcb2551daf254ff
Publikováno v:
IEEE Access, Vol 7, Pp 98971-98992 (2019)
The level of consciousness and the concentration of drivers while driving play a vital role for reducing the number of accidents. In recent decade, in-vehicle infotainment (IVI) [or in-car entertainment (ICE)] is one of the main reasons that lead to
Externí odkaz:
https://doaj.org/article/60276e3e6f77483bb6bc5114fa2cc668
Publikováno v:
IEEE Access, Vol 7, Pp 167605-167620 (2019)
Coronary artery disease (CAD) is one of the main causes of cardiac death around the world. Due to its significant impact on the society, early and accurate detection of CAD is essential. This study proposes a novel nested ensemble nu-Support Vector C
Externí odkaz:
https://doaj.org/article/220e77f6d1d946e786bca5c613237d79
Autor:
Shahla Nemati, Reza Rohani, Mohammad Ehsan Basiri, Moloud Abdar, Neil Y. Yen, Vladimir Makarenkov
Publikováno v:
IEEE Access, Vol 7, Pp 172948-172964 (2019)
Multimodal emotion recognition is an emerging interdisciplinary field of research in the area of affective computing and sentiment analysis. It aims at exploiting the information carried by signals of different nature to make emotion recognition syst
Externí odkaz:
https://doaj.org/article/7d2443e58a224d26a27fdb0f9876a6cc
Autor:
Thomas Fisher, Harry Gibson, Yunzhe Liu, Moloud Abdar, Marius Posa, Gholamreza Salimi-Khorshidi, Abdelaali Hassaine, Yutong Cai, Kazem Rahimi, Mohammad Mamouei
Publikováno v:
Remote Sensing, Vol 14, Iss 13, p 3072 (2022)
Over a billion people live in slums, with poor sanitation, education, property rights and working conditions having a direct impact on current residents and future generations. Slum mapping is one of the key problems concerning slums. Policymakers ne
Externí odkaz:
https://doaj.org/article/ea0cc5991b7d4a508dfeae9f5f76ec09
Autor:
Zeinab Sherkatghanad, Mohammadsadegh Akhondzadeh, Soorena Salari, Mariam Zomorodi-Moghadam, Moloud Abdar, U. Rajendra Acharya, Reza Khosrowabadi, Vahid Salari
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2020)
Background: Convolutional neural networks (CNN) have enabled significant progress in speech recognition, image classification, automotive software engineering, and neuroscience. This impressive progress is largely due to a combination of algorithmic
Externí odkaz:
https://doaj.org/article/784a189955fa49c2bff6eabe8f5803d1
Autor:
Moloud Abdar, Neil Y. Yen
Publikováno v:
IEEE Access, Vol 5, Pp 24842-24852 (2017)
Sharing economy becomes an emerging issue in urban life. It is not a new phenomenon but an assembling of existing techniques to meet specific demands of users. It also points out a better way to implicitly collect users' contexts and to understand us
Externí odkaz:
https://doaj.org/article/ff21b27a34a54c0eb7ac25f7d5d270d4
Autor:
Leila Shahmoradi, Reza Safdari, Mir Mikail Mirhosseini, Goli Arji, Behrooz Jannat, Moloud Abdar
Publikováno v:
Acta Medica Iranica, Vol 56, Iss 12 (2019)
Acute appendicitis is considered as one of the most prevalent diseases needing urgent action. Diagnosis of appendicitis is often complicated, and more precision in diagnosis is essential. The aim of this paper was to construct a model to predict acut
Externí odkaz:
https://doaj.org/article/64a51e5adcb54bbcb991234fa15f32a7
Autor:
Catalin Stoean, Ruxandra Stoean, Miguel Atencia, Moloud Abdar, Luis Velázquez-Pérez, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Gonzalo Joya
Publikováno v:
Sensors, Vol 20, Iss 11, p 3032 (2020)
Application of deep learning (DL) to the field of healthcare is aiding clinicians to make an accurate diagnosis. DL provides reliable results for image processing and sensor interpretation problems most of the time. However, model uncertainty should
Externí odkaz:
https://doaj.org/article/7640803b83bf419eb16a27c703639419