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
A new multi-attribute decision-making method for interval data using support vector machine

Ghassem Farajpour Khanaposhtani

Volume 3, Issue 4 , December 2023, Pages 137-145

https://doi.org/10.22105/bdcv.2023.190406

Abstract
  There are numerous and various methods for solving the Multi-Attribute Decision-Making (MADM) problems in the literature, such as Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Elimination and Choice Expressing Reality (ELECTRE), Analytic Hierarchy Process (AHP), etc. We ...  Read More

Original Article
Safeguarding forest ecosystems: harnessing IoT for fire detection

Iman Atighi; Zhi Zhou

Volume 3, Issue 4 , December 2023, Pages 146-153

https://doi.org/10.22105/bdcv.2023.190407

Abstract
  Forest fires represent a significant threat to natural ecosystems and human lives, necessitating early detection and rapid response for effective mitigation. In recent years, the Internet of Things (IoT) has emerged as a promising technology for forest fire detection. IoT-based solutions leverage Wireless ...  Read More

Original Article
ITS-based wireless traffic monitoring solution

Natalja Osintsev; Victoria Nozick

Volume 3, Issue 4 , December 2023, Pages 154-159

https://doi.org/10.22105/bdcv.2023.190408

Abstract
  In recent times, we have witnessed an extraordinary surge in technological advancements. The rise in transportation, driven by various factors such as schools, offices, factories, and more, has become increasingly apparent. The extensive use of personal vehicles contributes significantly to the escalation ...  Read More

Original Article
A sparrow search algorithm based hybrid meta-heuristic algorithm for population growth rate prediction

Milad Shahvaroughi Farahani; Hamed Farrokhi-Asl Farrokhi-Asl; Ghazal Ghasemi

Volume 3, Issue 4 , December 2023, Pages 160-185

https://doi.org/10.22105/bdcv.2024.426714.1170

Abstract
  In any economy, it is essential to monitor the rate of population change closely. Governments employ various strategies and programs to regulate population growth since different population growth rates have distinct economic consequences. This paper reveals a global trend of reduced desire to have children, ...  Read More

Original Article
Efficiency-based prioritization of stakeholders using data envelopment analysis

Soheil Azizi; Reza Rasinojehdehi

Volume 3, Issue 4 , December 2023, Pages 186-195

https://doi.org/10.22105/bdcv.2024.437598.1177

Abstract
  This paper introduces a novel approach to stakeholder prioritization by employing Data Envelopment Analysis (DEA). The study utilizes five key criteria-stakeholder power, urgency, legitimacy, level of involvement, and project impact-to quantitatively evaluate stakeholder efficiency. DEA models tailored ...  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

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

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

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

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

Original Article
Forest Fire Detection Using Sensor Network

Ibrahim Mekawy; Natalja Osintsev

Articles in Press, Accepted Manuscript, Available Online from 29 January 2024

https://doi.org/10.22105/bdcv.2022.371382.1085

Abstract
  The view and the beginning phase of the fire interaction issue could be addressed with the second sort of sensor. A new innovation called Wireless Sensor Network (WSN) is these days getting more consideration and has begun to be applied in forest fire detection. The Wireless hubs incorporate a similar ...  Read More

Original Article
Wireless Sensor Networks in Industrial Automation

Haifa Alqahtani

Articles in Press, Accepted Manuscript, Available Online from 29 January 2024

https://doi.org/10.22105/bdcv.2022.371386.1088

Abstract
  In this competitive industrial world, companies growing demands to improve process efficiencies, obey environmental regulations, and meet corporate financial objectives. As per the increasing age of many industrial systems and the dynamic industrial manufacturing market, intelligent and low-cost industrial ...  Read More

Original Article
Wireless Traffic Monitoring System using ITS

Alhanouf Alburaikan

Articles in Press, Accepted Manuscript, Available Online from 29 January 2024

https://doi.org/10.22105/bdcv.2022.374128.1091

Abstract
  Now-a-days, we have seen a tremendous increase in technology. We are already aware of the increase in transportation due to several factors like schools, offices, factories, etc. This usage of own vehicles can lead to a lot of increase in transport. This leads to pollution Compared to the usage of own ...  Read More

Original Article
Working of Cloud Computing with No Data Center

Mingyue Wang; Zhi Zhou

Articles in Press, Accepted Manuscript, Available Online from 29 January 2024

https://doi.org/10.22105/bdcv.2023.391745.1116

Abstract
  The current landscape of Cloud Computing predominantly relies on closed data centers, housing a multitude of dedicated servers that cater to cloud services. However, there exists an immense number of underutilized Personal Computers (PCs) owned by individuals and organizations globally. These dormant ...  Read More

Original Article
Impact of Scheduling Algorithm for Task Management

Agyan Kumar

Articles in Press, Accepted Manuscript, Available Online from 29 January 2024

https://doi.org/10.22105/bdcv.2023.391751.1119

Abstract
  By offering computers as a utility service rather than a product, the cloud has created a new paradigm in which pooled resources, software, and information are made available to over the network, users. While the business software and data are kept on servers located far away, cloud computing companies ...  Read More

Original Article
Task Scheduling Algorithms in Cloud Computing Environment

Zhang Hao; Sheila Maria Muniz

Articles in Press, Accepted Manuscript, Available Online from 29 January 2024

https://doi.org/10.22105/bdcv.2023.392178.1120

Abstract
  Cloud computing is a rapidly growing technology in the field of distributed computing that enables users to access virtual machines for computation and storage on a pay-per-use basis. Its primary goal is to provide seamless access to remote and geographically dispersed resources. However, cloud computing ...  Read More

Original Article
Load Management in Cloud Computing Environment

Aziza Algarni

Articles in Press, Accepted Manuscript, Available Online from 29 January 2024

https://doi.org/10.22105/bdcv.2023.392180.1122

Abstract
  In today's world, cloud computing is one of the most powerful platforms for storing data at a low cost and making it available at all times via the internet. However, it has more serious issues such as security, load management, and fault tolerance. The Load Balancing approach is discussed in this paper. ...  Read More

Original Article
Distributed a Load Balancing Algorithm for Cloud Computing Applications

Chenguang Wang; Victoria Nozick

Articles in Press, Accepted Manuscript, Available Online from 29 January 2024

https://doi.org/10.22105/bdcv.2023.393307.1128

Abstract
  Cloud computing's popularity has surged over the past decade, attributed to its capacity to offer cost-effective and adaptable services to both individuals and businesses. Its primary advantage lies in granting users access to on-demand computing resources without necessitating an initial capital investment ...  Read More