Browsing by Author "Tirkolaee, Erfan Babaee"

Analyzing failures in adoption of smart technologies for medical waste management systems: a type-2 neutrosophic-based approach

Torkayesh, Ali Ebadi; Deveci, Muhammet; Torkayesh, Sajjad Ebadi; Tirkolaee, Erfan Babaee (Springer Link, 2021)

Medical waste management (MWM) systems are considered among the most important urban systems nowadays. Cities in different countries prefer to transform their infrastructure based on sustainability guidelines and practices. ...

Application of industry 4.0 in the procurement processes of supply chains: a systematic literature review

Jahani, Niloofar; Sepehri, Arash; Vandchali, Hadi Rezaei; Babaee Tirkolaee, Erfan (MDPI AG, 2021)

Abstract Author keywords Abstract The fourth industrial revolution has significantly changed the traditional way of managing supply chains. The applications of Industry 4.0 (I4.0) technologies such as the Internet of ...

Application of machine learning in supply chain management: a comprehensive overview of the main areas

Tirkolaee, Erfan Babaee; Sadeghi, Saeid; Mooseloo, Farzaneh Mansoori; Vandchali, Hadi Rezaei; Aeini, Samira (HINDAWI LTD, 2021)

In today's complex and ever-changing world, concerns about the lack of enough data have been replaced by concerns about too much data for supply chain management (SCM). The volume of data generated from all parts of the ...

Appointment scheduling problem under fairness policy in healthcare services: fuzzy ant lion optimizer

Ala, Ali; Simic, Vladimir; Pamucar, Dragan; Tirkolaee, Erfan Babaee (Elsevier, 2022)

This study addresses the application of the Integer Linear Programming technique for the patient Appointment Scheduling Problem (ASP). In this research, we propose a Mixed-Integer Linear Programming (MILP) model to formulate ...

An augmented Tabu search algorithm for the green inventory-routing problem with time windows

Alinaghian, Mahdi; Tirkolaee, Erfan Babaee; Dezaki, Zahra Kaviani; Hejazi, Seyed Reza; Ding, Weiping (Elsevier B.V., 2021)

Transportation allocates a significant proportion of Gross Domestic Product (GDP) to each country, and it is one of the largest consumers of petroleum products. On the other hand, many efforts have been made recently to ...

Big data-driven cognitive computing system for optimization of social media analytics

Sangaiah, Arun Kumar; Goli, Alireza; Tirkolaee, Erfan Babaee; Ranjbar-Bourani, Mehdi; Pandey, Hari Mohan; Zhang, Weizhe (Ieee-Inst Electrical Electronics Engineers Inc, 2020)

The integration of big data analytics and cognitive computing results in a new model that can provide the utilization of the most complicated advances in industry and its relevant decision-making processes as well as ...

Brain tumor segmentation of MRI images: a comprehensive review on the application of artificial intelligence tools

Ranjbarzadeh, Ramin; Caputo, Annalina; Tirkolaee, Erfan Babaee; Jafarzadeh Ghoushchi, Saeid; Bendechache, Malika (Elsevier, 2023)

Background: Brain cancer is a destructive and life-threatening disease that imposes immense negative effects on patients’ lives. Therefore, the detection of brain tumors at an early stage improves the impact of treatments ...

Breast tumor localization and segmentation using machine learning techniques: overview of datasets, findings, and methods

Ranjbarzadeh, Ramin; Dorosti, Shadi; Jafarzadeh Ghoushchi, Saeid; Caputo, Annalina; Tirkolaee, Erfan Babaee; Ali, Sadia Samar; Arshadi, Zahra; Bendechache, Malika (Elsevier, 2023)

The Global Cancer Statistics 2020 reported breast cancer (BC) as the most common diagnosis of cancer type. Therefore, early detection of such type of cancer would reduce the risk of death from it. Breast imaging techniques ...

Circular economy application in designing sustainable medical waste management systems

Tirkolaee, Erfan Babaee; Goli, Alireza; Mirjalili, Seyedali (Springer, 2022)

No Abstract Available

A closed-loop supply chain configuration considering environmental impacts: a self-adaptive NSGA-II algorithm

Babaeinesami, A.; Tohidi, H.; Ghasemi, P.; Goodarzian, F.; Tirkolaee, E.B. (Springer Link, 2022)

Configuration of a supply chain network is a critical issue that contributes to choose the best combination for a set of facilities in order to attain an effective and efficient supply chain management (SCM). Designing a ...

A cluster-based stratified hybrid decision support model under uncertainty: sustainable healthcare landfill location selection

Tirkolaee, E.B.; Torkayesh, A.E. (Springer, 2022)

Nowadays, healthcare waste management has become one of the significant environmental, health, and social problems. Due to population and urbanization growth and an increase in healthcare waste disposals according to the ...

Correction to: A novel model for sustainable waste collection arc routing problem: Pareto-based algorithms (Annals of Operations Research, (2022), 10.1007/s10479-021-04486-2)

Tirkolaee, E.B.; Goli, A.; Gutmen, S.; Weber, G.-W.; Szwedzka, K. (Springer, 2022)

This erratum published as several formatting issues were noticed with Tables and equations. Original article has been corrected. © Springer Science+Business Media, LLC, part of Springer Nature 2022.

A deep learning approach for robust, multi-oriented, and curved text detection

Ranjbarzadeh, Ramin; Jafarzadeh Ghoushchi, Saeid; Anari, Shokofeh; Safavi, Sadaf; Tataei Sarshar, Nazanin; Babaee Tirkolaee, Erfan; Bendechache, Malika (SPRINGER, 2022)

Automatic text localization and segmentation in a normal environment with vertical or curved texts are core elements of numerous tasks comprising the identification of vehicles and self-driving cars, and preparing significant ...

Designing a sustainable closed-loop supply chain network of face masks during the COVID-19 pandemic: Pareto-based algorithms

Tirkolaee, E.B.; Goli, A.; Ghasemi, P.; Goodarzian, F. (Elsevier, 2022)

This study develops a novel mathematical model to design a sustainable mask Closed-Loop Supply Chain Network (CLSCN) during the COVID-19 outbreak for the first time. A multi-objective Mixed-Integer Linear Programming (MILP) ...

Development of dynamic balanced scorecard using case-based reasoning method and adaptive neuro-fuzzy inference system

Khanmohammadi, Ehsan; Safari, Hossein; Zandieh, Mostafa; Malmir, Behnam; Tirkolaee, Erfan Babaee (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2022)

In recent years, selecting the strategies has been recognized as one of the most challenging issues facing senior and strategy managers of companies. In this regard, this article introduced an integrated framework that ...

Evaluating the impacts of COVID-19 outbreak on supply chain risks by modified failure mode and effects analysis: a case study in an automotive company

Ghadir, Amir Hossein; Vandchali, Hadi Rezaei; Fallah, Masoud; Tirkolaee, Erfan Babaee (SPRINGER, 2022)

Supply chains have been facing many disruptions due to natural and man-made disasters. Recently, the global pandemic caused by COVID-19 outbreak, has severely hit trade and investment worldwide. Companies around the world ...