Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mehdi Assefi"'
Autor:
Mehdi Assefi, Mehdi Bahrami, Sarthak Arora, Thiab R. Taha, Hamid R. Arabnia, Khaled M. Rasheed, Wei-Peng Chen
Publikováno v:
2022 IEEE International Conference on Web Services (ICWS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::260338de6ffbd624649cc1d2bf56e6a7
https://doi.org/10.1109/icws55610.2022.00064
https://doi.org/10.1109/icws55610.2022.00064
Publikováno v:
SMC
The number and variety of Web APIs is growing exponentially. Software engineers need to expend a significant amount of time and effort reading and understanding the accompanying documentation. In addition, system automation may use API to interact wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4432958f2a29488a1e582a28023c3aaa
https://doi.org/10.1109/smc42975.2020.9282884
https://doi.org/10.1109/smc42975.2020.9282884
Publikováno v:
ICMLA
Accurate modeling of battery capacity degradation is an important component for both battery manufacturers and energy management systems. In this paper, we develop a battery degradation model using deep learning algorithms. The model is trained with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b8a75b02b1dae37bd632781095f8665
https://doi.org/10.1109/icmla.2018.00137
https://doi.org/10.1109/icmla.2018.00137
Publikováno v:
IEEE BigData
Artificial intelligence, and particularly machine learning, has been used in many ways by the research community to turn a variety of diverse and even heterogeneous data sources into high quality facts and knowledge, providing premier capabilities to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5750b16c7ce0524ec2f7da286f49dd4
https://doi.org/10.1109/bigdata.2017.8258338
https://doi.org/10.1109/bigdata.2017.8258338
Autor:
Jonathan C. Badger, Eric LaRose, John E. Mayer, Mehdi Assefi, David C. Page, Ahmad P. Tafti, Ehsun Behravesh, Peggy L. Peissig, AnHai Doan
Publikováno v:
IEEE BigData
Every single day, a massive amount of text data is generated by different medical data sources, such as scientific literature, medical web pages, health-related social media, clinical notes, and drug reviews. Processing this wealth of data is indeed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c79487878c1eb885553da1fd8b73e13
https://doi.org/10.1109/bigdata.2017.8258394
https://doi.org/10.1109/bigdata.2017.8258394
Autor:
Saeid Safaei, Elizabeth D. Trippe, Mehdi Assefi, Seyedamin Pouriyeh, Krys J. Kochut, Mehdi Allahyari, Juan B. Gutierrez
Publikováno v:
International Journal of Advanced Computer Science and Applications. 8
In recent years, there has been a explosion in the amount of text data from a variety of sources. This volume of text is an invaluable source of information and knowledge which needs to be effectively summarized to be useful. In this review, the main
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::186e90ee1862c8a0ddbe90fd90984d3e
https://doi.org/10.14569/ijacsa.2017.081052
https://doi.org/10.14569/ijacsa.2017.081052
Publikováno v:
ICCCN
Interactive real-time communication between people and machine enables innovations in transportation, health care, etc. Using voice or gesture commands improves usability and broad public appeal of such systems. In this paper we experimentally evalua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ef105b6277e05033e361e0c451125d6
https://doi.org/10.1109/icccn.2015.7288417
https://doi.org/10.1109/icccn.2015.7288417