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Farsad Zamani Boroujeni

affiliation not provided to SSRN

SCHOLARLY PAPERS

4

DOWNLOADS

429

TOTAL CITATIONS

0

Scholarly Papers (4)

1.

A Hybrid Framework for Algorithmic Trading: Combining Deep Learning Trend Prediction with Candle Stick Pattern Recognition

Number of pages: 20 Posted: 07 May 2025
Seyed Amir Agah, Ali Yazdian Varjani, Farsad Zamani Boroujeni and Samaneh Yazdani
affiliation not provided to SSRN, Tarbiat Modares University Faculty of Electrical and Computer Engineering, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 273 (282,737)

Abstract:

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Deep learning, Algorithmic trading system, Financial market, Candle stick, Machine Learning, artificial intelligence

2.

Dynamic Optimizing Scheme for Load Balancing in Software-Defined Networks with the Approach of Reducing Energy Consumption

Number of pages: 26 Posted: 17 Jul 2023
Mohammadreza Forghani, Mohammadreza Soltanaghaei and Farsad Zamani Boroujeni
affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 53 (1,041,696)

Abstract:

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3.

A Multi-Modal Identification System Based on Wavelet Scattering Network and Giza Pyramid Through Two-Level Fusion of Face and Phonocardiogram Signal (Pcg)

Number of pages: 24 Posted: 15 Oct 2022
Mina Rahbari, Sara Nazari and Farsad Zamani Boroujeni
affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 52 (1,041,696)

Abstract:

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Giza Pyramid Meta-heuristic Algorithm, Multi-modal Authentication, Deep Features, Wavelet Scattering Network

4.

Using Meta-Heuristic Methods to Detect Botnet Attacks in Internet of Things

Number of pages: 20 Posted: 23 Aug 2023
shayan mardani, Farsad Zamani Boroujeni and Mehdi Akbari
affiliation not provided to SSRN, affiliation not provided to SSRN and Islamic Azad University, Najafabad branch, Isfahan - Faculty of Computer Engineering
Downloads 51 (1,052,702)

Abstract:

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Botnet attacks, Internet of Things, Meta-heuristic algorithms, Machine learning.