Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Vali Derhami"'
Publikováno v:
هوش محاسباتی در مهندسی برق, Vol 13, Iss 3, Pp 75-86 (2022)
Generative models try to obtain a probability distribution that is similar to that of observed data. Two different solutions have been proposed in this regard in recent years: one is to minimize the divergence (distance) between the two distributions
Externí odkaz:
https://doaj.org/article/e2060122d316459998aee99359a48b22
Autor:
Fatemeh Sarbaz Aqdaee, Vali Derhami, Mohamad Javad Zare Sakhvidi, Mehrdad Mostaghaci, Raziyeh Soltani Gerdfaramarzi, Maryam Musavi
Publikováno v:
طب کار, Vol 8, Iss 2, Pp 62-71 (2016)
Introduction: Diagnosis of various diseases in medicine is one of the areachr('39')s most widely used data mining in recent years and many researches have been done about it. In this study, the diagnosis of prostate cancer using fuzzy system was asse
Externí odkaz:
https://doaj.org/article/ccac159f6c0d4bdea8f8171651949a1f
Publikováno v:
Journal of Artificial Intelligence and Data Mining, Vol 2, Iss 1, Pp 73-78 (2014)
Yarn tenacity is one of the most important properties in yarn production. This paper addresses modeling of yarn tenacity as well as optimally determining the amounts of the effective inputs to produce yarn with desired tenacity. The artificial neural
Externí odkaz:
https://doaj.org/article/c772c24cc56b4a9d89cca3f3bcf576ec
Publikováno v:
Journal of Artificial Intelligence and Data Mining, Vol 1, Iss 2, Pp 63-73 (2013)
Quality of service (QoS) is an important issue in the design and management of web service composition. QoS in web services consists of various non-functional factors, such as execution cost, execution time, availability, successful execution rate, a
Externí odkaz:
https://doaj.org/article/4fbca678e06b44f0840cbc1882512895
Publikováno v:
Informatics, Vol 5, Iss 1, p 13 (2018)
Micro-Ribonucleic Acids (miRNAs) are small non-coding Ribonucleic Acid (RNA) molecules that play an important role in the cancer growth. There are a lot of miRNAs in the human body and not all of them are responsible for cancer growth. Therefore, the
Externí odkaz:
https://doaj.org/article/403bc04872ab4926af2b544e7fab1002
Publikováno v:
Information, Vol 8, Iss 4, p 152 (2017)
The main purpose of feature subset selection is to remove irrelevant and redundant features from data, so that learning algorithms can be trained by a subset of relevant features. So far, many algorithms have been developed for the feature subset sel
Externí odkaz:
https://doaj.org/article/780e195e1a324dbbb3e04596a9cfd4a8
Publikováno v:
International Journal of Dynamics and Control. 10:1685-1696
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42a8017edfeb3ed75217d71d7e390d1d
https://doi.org/10.1007/s40435-022-00921-9
https://doi.org/10.1007/s40435-022-00921-9
Autor:
Vali Derhami, Mahdieh Hasheminezhad, Rashid Behzadidoost, Farinaz Alamiyan-Harandi, Mohammad Farshi
Publikováno v:
Quality & Quantity. 56:3053-3084
In the big data era, there is a necessity for effective frameworks to collect, retrieve, and manage data. As not all tweets are hashtagged by users, retrieving them is a complicated task. To address this issue, we present a rule-based expert system c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71fda79cb7477db1eee758ec1dbf1eef
https://doi.org/10.1007/s11135-021-01239-y
https://doi.org/10.1007/s11135-021-01239-y
Publikováno v:
IEEE Transactions on Components, Packaging and Manufacturing Technology. 11:840-847
This article presents a new macromodeling approach for nonlinear electronic components and circuits based on long short-term memory (LSTM) neural network. LSTM proposes a more efficient training process in comparison with the conventional recurrent n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e59125b6d7709c3d1af847e6364627f1
https://doi.org/10.1109/tcpmt.2021.3071351
https://doi.org/10.1109/tcpmt.2021.3071351
Publikováno v:
Soft Computing. 24:901-918
Inspired by recent attention to multi-agent reinforcement learning (MARL), the effort to provide efficient methods in this field is increasing. But, there are many issues which make this field challenging. Decision making of an agent depends on the o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a5640391c3bdf030e9519c2f536bb43
https://doi.org/10.1007/s00500-019-04600-4
https://doi.org/10.1007/s00500-019-04600-4