Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Milad Salem"'
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-17 (2022)
Abstract Background Deep learning’s automatic feature extraction has proven to give superior performance in many sequence classification tasks. However, deep learning models generally require a massive amount of data to train, which in the case of
Externí odkaz:
https://doaj.org/article/604701393cb2494aa8c8d2de130071e3
Publikováno v:
Journal of Cheminformatics, Vol 14, Iss 1, Pp 1-18 (2022)
Abstract Deep learning’s automatic feature extraction has been a revolutionary addition to computational drug discovery, infusing both the capabilities of learning abstract features and discovering complex molecular patterns via learning from molec
Externí odkaz:
https://doaj.org/article/f9d3795795bd4b319b61df74463f928f
Publikováno v:
Modelling, Vol 2, Iss 4, Pp 482-513 (2021)
Research indicates that the projection of traffic volumes is a valuable tool for traffic management. However, few studies have examined the application of a universal automated framework for car traffic volume prediction. Within this limited literatu
Externí odkaz:
https://doaj.org/article/0a38fe79afc64a1c807dd171e2a5af5f
Publikováno v:
IEEE Access, Vol 9, Pp 105341-105356 (2021)
Knowledge of the truck traffic volumes on state and interstate highways is critical for highway authorities and federal organizations. Increased urbanization, population growth, and economic development have led to an increased demand for freight tra
Externí odkaz:
https://doaj.org/article/373de9fa73e84ad0b24d505b90f74c60
Autor:
Arash Keshavarzi Arshadi, Julia Webb, Milad Salem, Emmanuel Cruz, Stacie Calad-Thomson, Niloofar Ghadirian, Jennifer Collins, Elena Diez-Cecilia, Brendan Kelly, Hani Goodarzi, Jiann Shiun Yuan
Publikováno v:
Frontiers in Artificial Intelligence, Vol 3 (2020)
SARS-COV-2 has roused the scientific community with a call to action to combat the growing pandemic. At the time of this writing, there are as yet no novel antiviral agents or approved vaccines available for deployment as a frontline defense. Underst
Externí odkaz:
https://doaj.org/article/dc313295629747798bfad07f2859c280
Autor:
Arash Keshavarzi Arshadi, Milad Salem, Jennifer Collins, Jiann Shiun Yuan, Debopam Chakrabarti
Publikováno v:
Frontiers in Pharmacology, Vol 10 (2020)
Antimalarial drugs are becoming less effective due to the emergence of drug resistance. Resistance has been reported for all available malaria drugs, including artemisinin, thus creating a perpetual need for alternative drug candidates. The tradition
Externí odkaz:
https://doaj.org/article/178e3e8e90164e7ba5a9322b5c16c916
Publikováno v:
Big Data and Cognitive Computing, Vol 4, Iss 3, p 16 (2020)
Deep learning’s automatic feature extraction has proven its superior performance over traditional fingerprint-based features in the implementation of virtual screening models. However, these models face multiple challenges in the field of early dru
Externí odkaz:
https://doaj.org/article/323726d38eec472eb070eb52c332a732
Publikováno v:
Big Data and Cognitive Computing, Vol 4, Iss 2, p 11 (2020)
In this work, we propose a novel defense system against adversarial examples leveraging the unique power of Generative Adversarial Networks (GANs) to generate new adversarial examples for model retraining. To do so, we develop an automated pipeline u
Externí odkaz:
https://doaj.org/article/b756590acbb14516928dd99258a5d4fb
Publikováno v:
Big Data and Cognitive Computing, Vol 3, Iss 3, p 43 (2019)
In this work, we propose ShallowDeepNet, a novel system architecture that includes a shallow and a deep neural network. The shallow neural network has the duty of data preprocessing and generating adversarial samples. The deep neural network has the
Externí odkaz:
https://doaj.org/article/f421903f4b98472485281cfe093aebf5
Publikováno v:
Computers, Vol 8, Iss 1, p 3 (2018)
Biometric verification systems have become prevalent in the modern world with the wide usage of smartphones. These systems heavily rely on storing the sensitive biometric data on the cloud. Due to the fact that biometric data like fingerprint and iri
Externí odkaz:
https://doaj.org/article/d7c18ba3fbe44b64ab8d132e9a1a50f2