Quarterly Publication

Big Data and Computing Visions (BDCV) is an international scholarly open access, interdisciplinary, fully refereed, and quarterly free of charge journal as a non-commercial publication. The publication start year of BDCV is 2021. All submitted manuscripts are checked for similarity through a trustworthy software named iThenticate to be assured about its originality and rigorously peer-reviewed by the international reviewers (The similarity rate must be below 20%).

BDCV is a peer-reviewed journal publishes original research papers, reviews, case studies, short communication and innovative research studies, covering all aspects on theoretical and applied papers of Big Data  and Computing Visions concepts such as “data analysis”, “data mining”, “information systems”, “pattern recognition”, “soft computing”, ”computer vision”, ”image and video processing”, “distributed systems”, “Intelligent Systems”, “Bioinformatics”,” performance evaluation”,” data envelopment analysis”, “mathematical modeling”,” financial analysis”, etc. This journal respects the ethical rules in publishing and is subject to the rules of the Ethics Committee" for Publication (COPE) and committed to follow the executive regulations of the Law on Prevention and Combating Fraud in Scientific  Works. This journal publishes fully open access journals, which means that all articles are available on the internet to all users immediately upon publication.

 

Original Article
Smart bus ticketing system through IoT enabled technology

Agyan Kumar; Antônio Clécio Fontelles Thomaz

Volume 2, Issue 1 , March 2022, Pages 1-8

https://doi.org/10.22105/bdcv.2022.326976.1046

Abstract
  This project is concerned with using a digital rather than a manual approach to providing bus passes. The major goal of this technology is to digitally manufacture bus passes and eliminate the need for handwritten paperwork. Commuters will be able to acquire their passes in a fraction of a second, eliminating ...  Read More

Original Article
A comprehensive review of big data applications

Soheil Fakheri

Volume 2, Issue 1 , March 2022, Pages 9-17

https://doi.org/10.22105/bdcv.2022.325256.1041

Abstract
  Analysis of big data has been presented as an advanced analytical technology involving large-scale and complex applications. In this paper, we review the general background of big data, and focus on data generation and data analysis. Then, we examine the several representative applications of big data, ...  Read More

Original Article
Presenting a model for the diagnosis of heart failure using cumulative and deep learning algorithms: a case study of tehran heart center

Amir Hossein Hariri; Esmaeil Bagheri; Sayyed Mohammad Reza Davoodi

Volume 2, Issue 1 , March 2022, Pages 18-30

https://doi.org/10.22105/bdcv.2022.325710.1043

Abstract
  Coronary artery heart failure is the leading cause of mortality among other cardiac diseases. In most of the cases, angiography is a reliable method for the diagnosis and treatment of cardiovascular diseases. However, it is a costly approach associated with various complications. The significant increase ...  Read More

Original Article
Environmental risk assessment using FMEA and entropy based on TOPSIS method: a case study oil wells drilling

Negar Afzali Behbahani; Mazdak Khodadadi-Karimvand; Afarin Ahmadi

Volume 2, Issue 1 , March 2022, Pages 31-39

https://doi.org/10.22105/bdcv.2022.331778.1054

Abstract
  Drilling is among the major processes of exploration, description, and development of oil and gas reservoirs with a strategic significance in the oil industry. It has also always been a major challenge in the oil industry. Because of the importance of drilling in major upstream oil and gas industries, ...  Read More

Original Article
Smart home with neural network based object detection

Agyan Panda; Sheila Maria Muniz

Volume 2, Issue 1 , March 2022, Pages 40-48

https://doi.org/10.22105/bdcv.2022.326975.1045

Abstract
  Household object detection is a brand-new computer technique that combines image processing and computer vision to recognise objects in the home. All objects stored in the kitchen, room, and other areas will be detected by the camera. Low-end device techniques for detecting people in video or images ...  Read More

Original Article
Audit committee characteristics and audit report lag: evidence from the Iran

Mehdi Maranjory; Mohadeseh Kouchaki Tajani

Volume 2, Issue 1 , March 2022, Pages 49-60

https://doi.org/10.22105/bdcv.2022.331039.1047

Abstract
  The purpose of this research was to empirically examine the effect of independence, size, expertise, and gender of the audit committee on audit report lag in firms listed on the Tehran Stock Exchange (TSE). Using unique data from Iran for a 5-year period between 2016 and 2020, the results showed that ...  Read More

Toward prediction of entrepreneurial exit in Iran; a study based on GEM 2008-2019 data and approach of machine learning algorithms

Masoumeh Moterased; Seyed Mojtaba Sajadi; Ali Davari; Mohammad Reza Zali

Volume 1, Issue 3 , September 2021, , Pages 111-127

https://doi.org/10.22105/bdcv.2021.142089

Abstract
  This study discusses the prediction model of Entrepreneurial Exit from Entrepreneurial Perceptions, acquired the data from the Global Entrepreneurship Monitor's (GEM) database in 2008-2019. Some essential indicators include Opportunity Perception, Fear of Failure, Capability Perception, Role Model, and ...  Read More

Using machine learning-based models for personality recognition

Fatemeh Mohades Deilami; Hossein Sadr; Mozhdeh Nazari

Volume 1, Issue 3 , September 2021, , Pages 128-139

https://doi.org/10.22105/bdcv.2021.142588

Abstract
  Personality can be defined as the combination of behavior, emotion, motivation, and thoughts that aim at describing various aspects of human behavior based on a few stable and measurable characteristics. Considering the fact that our personality has a remarkable influence in our daily life, automatic ...  Read More

Efficient energy consumption in smart buildings using personalized NILM-based recommender system

Fatemeh Taghvaei; Ramin Safa

Volume 1, Issue 3 , September 2021, , Pages 161-169

https://doi.org/10.22105/bdcv.2022.325031.1039

Abstract
  As the construction sector accounts for the highest energy consumption worldwide, new solutions must be offered in buildings through the adoption of energy-efficient techniques. The main factors involved in energy consumption and residents' behaviors patterns considering environmentally-friendly lifestyle ...  Read More

Estimating cash in bank branches by time series and neural network approaches

Pejman Peykani; Farzad Eshghi; Alireza Jandaghian; Hamed Farrokhi-Asl; Farid Tondnevis

Volume 1, Issue 4 , December 2021, , Pages 170-178

https://doi.org/10.22105/bdcv.2021.142232

Abstract
  Providing efficient and powerful approach for liquidity management of bank branches has always been one of the most important and challenging issues for researchers and scholars in the banking field. In other words, estimating the amount of required cash in different branches of the bank is one of the ...  Read More

Environmental risk assessment using FMEA and entropy based on TOPSIS method: a case study oil wells drilling

Negar Afzali Behbahani; Mazdak Khodadadi-Karimvand; Afarin Ahmadi

Volume 2, Issue 1 , March 2022, , Pages 31-39

https://doi.org/10.22105/bdcv.2022.331778.1054

Abstract
  Drilling is among the major processes of exploration, description, and development of oil and gas reservoirs with a strategic significance in the oil industry. It has also always been a major challenge in the oil industry. Because of the importance of drilling in major upstream oil and gas industries, ...  Read More

Original Article
Choosing the Best Private-sector Partner according to the Risk Factors in Neutrosophic Environment

Seyed Farhad Saberhoseini; Seyyed Ahmad Edalatpanah; Ali Sorourkhah

Articles in Press, Accepted Manuscript, Available Online from 22 May 2022

https://doi.org/10.22105/bdcv.2022.334005.1075

Abstract
  Public-private partnership PPP refers to a partnership between a government and a private sector to provide public infrastructure projects, services, etc. These projects have been associated with numerous problems, many of which failed. A critical issue in PPP projects is choosing the right private-sector ...  Read More

Original Article
Optimizing supplier selection for a construction project by a cash-flow approach using a hybrid metaheuristic algorithm

esmaeil najafi; soheil salahshour; bijan rahmani

Articles in Press, Accepted Manuscript, Available Online from 01 June 2022

https://doi.org/10.22105/bdcv.2022.342616.1081

Abstract
  Supplier selection is the practice of evaluating and selecting the best or most suitable supplier for the organization based on the candidates' qualities and qualifications. In large construction projects, supplier selection strongly impacts the quality of materials as well as the cash-flow and ...  Read More

Original Article
Solving the Problem of Linear Programming with Cost Coefficients and Grey Resources Using the Primal Simplex Algorithm

farid pourofoghi

Articles in Press, Accepted Manuscript, Available Online from 07 July 2022

https://doi.org/10.22105/bdcv.2022.350381.1082

Abstract
  In most real-world issues, we are dealing with situations where accurate data and complete information are not available. One way to deal with these uncertainties in real life is to use grey system theory. In this paper, a linear programing problem in a grey environment with interval grey numbers is ...  Read More