Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Aras masood Ismael"'
Autor:
Wen-Bao Wang, Chich-Jen Shieh, Hamza Mohammed Ridha Al-Khafaji, Andrei Sevbitov, Aras Masood Ismael, Paitoon Chetthamrongchai, Wanich Suksatan, Parvaneh Bahrami
Publikováno v:
Human Behavior and Emerging Technologies, Vol 2023 (2023)
The COVID-19 pandemic forced many organizations to move to telework and smart work (SW), and this practice is expected to continue even later in the postpandemic period. Hence, it is very important for managers and organizations to identify the motiv
Externí odkaz:
https://doaj.org/article/0492e43923444120b8382f6d53490cc9
Publikováno v:
IEEE Access, Vol 8, Pp 105376-105383 (2020)
The recognition of various lung sounds recorded using electronic stethoscopes plays a significant role in the early diagnoses of respiratory diseases. To increase the accuracy of specialist evaluations, machine learning techniques have been intensely
Externí odkaz:
https://doaj.org/article/3ca085bc56214955938a42d651732cf5
Autor:
Tzu-Chia Chen, Hasan Sh. Majdi, Aras Masood Ismael, Jamshid Pouresmi, Danial Ahangari, Saja Mohammed Noori
Publikováno v:
International Journal of Chemical Engineering, Vol 2022 (2022)
Thermal conductivity (TC) of a phase change material (PCM) may be enhanced by distributing nanostructured materials (NSMs) termed nano-PCM. It is critical to accurately estimate the TC of nano-PCM to assess heat transfer during phase transition proce
Externí odkaz:
https://doaj.org/article/89d9c05cc3ef4fb1ac1ccc71d4202f20
In this chapter, deep learning-based approaches, namely deep feature extraction, fine-tuning of pre-trained convolutional neural networks (CNN), and end-to-end training of a developed CNN model, are used to classify the malignant and normal breast X-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::324b26300403b077591309359ae7b263
https://doi.org/10.4018/978-1-6684-7136-4.ch016
https://doi.org/10.4018/978-1-6684-7136-4.ch016
Autor:
Davood Ghorbanzadeh, Rafina Rafkatovna Zakieva, Mariya Kuznetsova, Aras Masood Ismael, Alim Al Ayub Ahmed
Publikováno v:
Kybernetes.
PurposeThe role of social media in the tourism industry growth cannot be ignored, because today the internet and social media platforms are one of the most popular information channels used by potential tourists and have become one of the main source
Publikováno v:
IEEE Access, Vol 8, Pp 105376-105383 (2020)
The recognition of various lung sounds recorded using electronic stethoscopes plays a significant role in the early diagnoses of respiratory diseases. To increase the accuracy of specialist evaluations, machine learning techniques have been intensely
Autor:
Tzu-Chia Chen, Fouad Jameel Ibrahim Alazzawi, John William Grimaldo Guerrero, Paitoon Chetthamrongchai, Aleksei Dorofeev, Aras masood Ismael, Alim Al Ayub Ahmed, Ravil Akhmadeev, Asslia Johar Latipah, Hussein Mohammed Esmail Abu Al-Rejal
Publikováno v:
REDICUC-Repositorio CUC
Corporación Universidad de la Costa
instacron:Corporación Universidad de la Costa
Mathematical Problems in Engineering, Vol 2022 (2022)
Corporación Universidad de la Costa
instacron:Corporación Universidad de la Costa
Mathematical Problems in Engineering, Vol 2022 (2022)
The hybrid energy storage systems are a practical tool to solve the issues in single energy storage systems in terms of specific power supply and high specific energy. These systems are especially applicable in electric and hybrid vehicles. Applying
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::957be96233c48c7db1a99fcf85d14a1a
https://repositorio.cuc.edu.co/
https://repositorio.cuc.edu.co/
Autor:
Aan Komariah, Mohammed Abed Jawad, Aras Masood Ismael, Trias Mahmudiono, Zeina A.Althanoon, Mohammed Yousif Oudah Al Muttar, Nuphanudin Nuphanudin, Krishanveer Singh, Marwan M. Merkhan
Publikováno v:
International Journal of Work Organisation and Emotion. 14:1
Publikováno v:
Advances in Data Science and Information Engineering ISBN: 9783030717032
Analyzing journals and articles abstract text or documents using topic modeling and text clustering becomes modern solutions for the increasing number of text documents. Topic modeling and text clustering are both intensely involved tasks that can be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::456b1e70bd43aad2e382b2d551281f86
https://doi.org/10.1007/978-3-030-71704-9_4
https://doi.org/10.1007/978-3-030-71704-9_4
Autor:
Abdulkadir Sengur, Aras Masood Ismael
Publikováno v:
Health Information Science and Systems
COVID-19 is a novel virus, which has a fast spreading rate, and now it is seen all around the world. The case and death numbers are increasing day by day. Some tests have been used to determine the COVID-19. Chest X-ray and chest computerized tomogra