Amin Babazadeh Sangar (0000-0002-5190-8460)

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Biography

I am currently working at the Department of IT and Computer Engineering, Islamic Azad University of Urmia. My Research Interests are:
• Enterprise Information Systems
• Data Analytics and Machin Learning
• Digital Transformation and Digital Business
• Digital Economy and FinTech
• Innovation in Supply Chain
• IT Entrepreneurship
. I conduct researches mostly with interpretive paradigm and qualitative methods. Grounded theory is my favorite.

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Islamic Azad University Urmia Branch: Urmia, IR

Employment

Amin Babazadeh Sangar

https://orcid.org/0000-0002-5190-8460

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Biography

Activities

Employment (1)

Islamic Azad University Urmia Branch: Urmia, IR

Education and qualifications (3)

Universiti Teknologi Malaysia: Skudai, Johor, MY

Shiraz University: Shiraz, Fars, IR

Qazvin Islamic Azad University: Qazvin, Qazvin, IR

Funding (4)

Business model design for Home France Co.

Tavanir CRM system Feasibility Study

Feasibility Study for Integrating Tabriz Municipality Information Systems

Smart City implementation Readiness Assessment of Tabriz Municipality

Works (50)

A Hybrid Model Based on Convolutional Neural Network and Long Short-Term Memory for Multi-label Text Classification

Information system quality and organizational performance: The effect of information system integration in Tabriz metropolitan municipality, Iran

A Method Based on Plants Light Absorption Spectrum and Its Use for Data Clustering

Fusion of deep belief network and SVM regression for intelligence of urban traffic control system

Digital transformation of Tabriz, Iran by IoT adoption

A Customized Efficient Deep Learning Model for the Diagnosis of Acute Leukemia Cells Based on Lymphocyte and Monocyte Images

Acute Leukemia Diagnosis Based on Images of Lymphocytes and Monocytes Using Type-II Fuzzy Deep Network

Assessing the ICT development in Iranian cities: The strategy to accelerate digital advancement

QFS-RPL: mobility and energy aware multi path routing protocol for the internet of mobile things data transfer infrastructures

Deep learning-based risk reduction approach using novel banking parameters on a standardized dataset

A novel Q-learning-based hybrid algorithm for the optimal offloading and scheduling in mobile edge computing environments

Hierarchical federated learning model for traffic light management in future smart

An Intelligent Control Method for Urban Traffic using Fog Processing in the IoT Environment based on Cloud Data Processing of Big Data

Using the integrated application of computational intelligence for landslide susceptibility modeling in East Azerbaijan Province, Iran

Towards Tax Evasion Detection Using Improved Particle Swarm Optimization Algorithm

Mining association rules for identifying critical factors affecting the implementation of business intelligence systems through WST-WFIM algorithm

Offline Identification of the Author using Heterogeneous Data based on Deep Learning

Quantum-Based Horse Optimization Algorithm for Energy-Aware Computation Offloading in Mobile Edge Computing

Stacking ensemble approach in data mining methods for landslide prediction

Offline writer identification using a developed deep neural network based on a novel signature dataset

Automatic offline identification of signature author based on deep learning and its evaluation in noisy conditions

A Hybrid Multi-objective Algorithm for Imbalanced Controller Placement in Software-Defined Networks

An Innovative Model for Extracting OLAP Cubes from NOSQL Database Based on Scalable Naïve Bayes Classifier

The Review of Usability Evaluation Methods on Tele health or Telemedicine Systems

A New Hybrid Based on Long Short-Term Memory Network with Spotted Hyena Optimization Algorithm for Multi-Label Text Classification

INTRODUCING AN INTELLIGENT FRAMEWORK FOR DETECTION OF SUSPECTED LUNG NODULES

Using hybrid artificial intelligence approach based on a neuro-fuzzy system and evolutionary algorithms for modeling landslide susceptibility in East Azerbaijan Province, Iran (Jul, 10.1007/s12145-021-00644-z, 2021)

Weighted Frequent Itemset Mining Using Weighted Subtrees: WST-WFIM

Deep neural networks-based offline writer identification using heterogeneous handwriting data: an evaluation via a novel standard dataset

Using hybrid artificial intelligence approach based on a neuro-fuzzy system and evolutionary algorithms for modeling landslide susceptibility in East Azerbaijan Province, Iran

A novel deep learning framework for lung nodule detection in 3d CT images

A new comparison framework to survey neural networks‐based vehicle detection and classification approaches

A novel controller placement algorithm based on network portioning concept and a hybrid discrete optimization algorithm for multi-controller software-defined networks

Extracting OLAP Cubes From Document-Oriented NoSQL Database Based on Parallel Similarity Algorithms

Landslide susceptibility modelling using integrated application of computational intelligence in Ahar County, Iran

Optimal detection of suspected lung nodules using a novel convolution neural network

The Secure Watermarking Of Digital Color Images By Using A Combination Of Chaotic Mapping

A New Watermarking Method for Self-Embedding Image Construction

Aspect oriented Implementation of design patterns using metadata

Multi-level model for the adoption of hospital information system: a case on Malaysia

The use of NFC technology to record medical information in order to improve the quality of medical and treatment services

A hybrid approach artificial bee colony optimization and k-means clustering for software cost estimation

A model for increasing usability of mobile banking apps on smart phones

A new approach in software cost estimation with hybrid of imperialist competitive algorithm and ant colony algorithm

A nine-layer model of integration to develop enterprise resource planning system

Investigating and comparing the usability models in the banking applications

Research article proposing IS success models for measuring business intelligence system (BIS) success and analytical literature review on BIS measurement

Measurement Metrics for Measuring Success of Business Intelligence System

Critical factors that affect the success of business intelligence systems (BIS) implementation in an organization

Participation anticipating in elections using data mining methods

Peer review (1 review for 1 publication/grant)