33   Artículos

 
en línea
Napsu Karmitsa, Sona Taheri, Kaisa Joki, Pauliina Paasivirta, Adil M. Bagirov and Marko M. Mäkelä    
In this paper, a new nonsmooth optimization-based algorithm for solving large-scale regression problems is introduced. The regression problem is modeled as fully-connected feedforward neural networks with one hidden layer, piecewise linear activation, an... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Manlio Gaudioso, Sona Taheri, Adil M. Bagirov and Napsu Karmitsa    
The Bundle Enrichment Method (BEM-DC) is introduced for solving nonsmooth difference of convex (DC) programming problems. The novelty of the method consists of the dynamic management of the bundle. More specifically, a DC model, being the difference of t... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Sousan Hadi, Ensiyeh Taheri, Mohammad Mehdi Amin, Ali Fatehizadeh and Mohamed Khayet    
The compound 4-chlorophenol (4-CP) is known to be a highly toxic compound having harmful effects on human health and the environment. To date, the removal of 4-CP by advanced oxidation processes (AOPs) has attracted tremendous attentions. The persulfate-... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Erfan Taheri, Ming Zhao and Helen Wu    
The response of an elastically mounted circular cylinder vibrating in an oscillatory flow oblique to the flow direction is investigated. Simulations are conducted for vibration angles ranging from 0° to 90°, with 0° and 90° corresponding to the cases whe... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Ming Zhao and Erfan Taheri    
Control of flow past a circular cylinder using a rotating control rod is investigated by conducting two-dimensional numerical simulations with a Reynolds number of 200, a rod-to-cylinder diameter ratio of 0.2, a gap ratio of 0.2, position angles of the c... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Mostafa Bigdeli, Abdolmajid Mohammadian, Abolghasem Pilechi and Mercedeh Taheri    
Microplastics pollution has led to irreversible environmental consequences and has triggered global concerns. It has been shown that water resources and marine food consumers are adversely affected by microplastics due to their physico-chemical character... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Wenwei Zhao, Suprith Reddy Gurudu, Shayan Taheri, Shajib Ghosh, Mukhil Azhagan Mallaiyan Sathiaseelan and Navid Asadizanjani    
Printed circuit board (PCB) assurance in the optical domain is a crucial field of study. Though there are many existing PCB assurance methods using image processing, computer vision (CV), and machine learning (ML), the PCB field is complex and increasing... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Ehsan Taheri, Saeid Esgandarzadeh Fard, Yousef Zandi and Bijan Samali    
This study evaluates an innovative reinforcement method for cold-formed steel (CFS) upright sections through finite element assessment as well as prediction of the normalized ultimate load and deflection of the profiles by artificial intelligence (AI) an... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Abouzar Taheri(1), Shahriar Nessabian(2), Reza Moghaddasi(3), Farzin Arbabi(4), Marjan Damankeshideh(5), (1) Department of Economics, Central Tehran Branch, Islamic Azad University, Tehran, Iran (2) Department of Economics, Central Tehran Branch, Islamic Azad University, Tehran, Iran (3) Department of Agricultural Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran (4) Department of Economics, Central Tehran Branch, Islamic Azad University, Tehran, Iran (5) Department of Economics, Central Tehran Branch, Islamic Azad University, Tehran, Iran     Pág. 41 - 52
Revista: Economic Journal of Emerging Markets    Formato: Electrónico

 
en línea
Shayan Taheri, Aminollah Khormali, Milad Salem and Jiann-Shiun Yuan    
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 using... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

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