S. T. A. Niaki - Dissemin

All papers authored by S. T. A. Niaki

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2024 Arya Karami

, Seyed Taghi Akhavan Niaki

An Online Support Vector Machine Algorithm for Dynamic Social Network Monitoring

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Navid Mohamadi, Seyed Taghi Akhavan Niaki

, Mahdi Taher

, Ali Shavandi

An application of deep reinforcement learning and vendor-managed inventory in perishable supply chain management

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2023 Morteza Ghomi-Avili, Seyed Taghi Akhavan Niaki

, Reza Tavakkoli-Moghaddam

A blockchain-based system for a network design problem considering pricing decisions and sustainability

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Hamed Sabahno

, Seyed Taghi Akhavan Niaki

New Machine-Learning Control Charts for Simultaneous Monitoring of Multivariate Normal Process Parameters with Detection and Identification

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Vahid Hajipour, Seyed Taghi Akhavan Niaki

, Madjid Tavana

, Francisco J. Santos-Arteaga, Sanaz Hosseinzadeh

A comparative performance analysis of intelligence-based algorithms for optimizing competitive facility location problems

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Mohammad Fatehi

, Alireza Toloei, S. T. A. Niaki

, Enrico Zio

An advanced teaching-learning-based algorithm to solve unconstrained optimization problems

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Sonia Jahangiri, Seyed Taghi Akhavan Niaki

An Improved Naïve Bayes Approach to Diagnose Cardiovascular Disease: A Case Study

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Hamid Safarzadeh, Seyed Taghi Akhavan Niaki

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2022 Afshin Yaghoubi

, Seyed Taghi Akhavan Niaki

Reliability analysis of a two-unit‏ ‏standby system under Marshall–Olkin dependency

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Ali Fallahi, Seyed Alireza Mousavian Anaraki, Hadi Mokhtari

, Seyed Taghi Akhavan Niaki

Blood plasma supply chain planning to respond COVID-19 pandemic: a case study

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Ali Fallahi, Mehdi Mahnam

, Seyed Taghi Akhavan Niaki

A discrete differential evolution with local search particle swarm optimization to direct angle and aperture optimization in IMRT treatment planning problem

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Reza Edris Abadi, Mohammad Javad Ershadi, Seyed Taghi Akhavan Niaki

A clustering approach for data quality results of research information systems

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Ali Fallahi, Erfan Amani Bani, Seyed Taghi Akhavan Niaki

A constrained multi-item EOQ inventory model for reusable items: Reinforcement learning-based differential evolution and particle swarm optimization

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Mohammad Mahdi Ershadi, Zeinab Rahimi Rise, Seyed Taghi Akhavan Niaki

A hierarchical machine learning model based on Glioblastoma patients' clinical, biomedical, and image data to analyze their treatment plans

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Shokufeh Zamani, Jamal Arkat

, Seyed Taghi Akhavan Niaki

Service interruption and customer withdrawal in the congested facility location problem

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Arash Zaretalab, Mani Sharifi

, Pedram Pourkarim Guilani, Sharareh Taghipour

, Seyed Taghi Akhavan Niaki

A multi-objective model for optimizing the redundancy allocation, component supplier selection, and reliable activities for multi-state systems

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Yasser Zeinali

, Seyed Taghi Akhavan Niaki

Heart sound classification using signal processing and machine learning algorithms

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Fatemeh Haadji Ahmadi, Seyed Taghi Akhavan Niaki

, Rassoul Noorossana, Hamid R. Rabiei

An Adaptative Active Approach with Monitoring Quality of Stream Modeling in the Presence of Concept Drift

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A. Fallahi, M. Mahnam, S. T. Akhavan Niaki

Direct Aperture Optimization for Intensity Modulated Radiation Therapy: Two Calibrated Metaheuristics and Liver Cancer Case Study

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Farshad Seifi, Seyed Taghi Akhavan Niaki

Dynamic Meta-Learning Acquisition Function Method for Bayesian Optimization with Early Stopping Criteria for Hyperparameter Optimization

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All papers authored by S. T. A. Niaki