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
Air pollution monitoring system based on wireless sensor networks

Natalja Osintsev

Volume 3, Issue 1 , March 2023, Pages 1-7

https://doi.org/10.22105/bdcv.2022.334375.1079

Abstract
  Air pollution is the biggest environmental hazard that cannot be ignored. Due to increase in number of industries and urbanization increases air pollutants concentrations in many areas because of this different changes are been happening in human life like health issues and as well as other living organisms. ...  Read More

Original Article
Leakage Detection in Water Pipes: An Approach of Smart Water

Dmitriy S Vladislav

Volume 3, Issue 1 , March 2023, Pages 8-14

https://doi.org/10.22105/bdcv.2022.331567.1050

Abstract
  This is an application of Wireless Sensor Network (WSN) to avoid the leakages, which are happening in the underground. It is quite hard to detect the leaks inside the ground, so this is a method which we can send some signals and detect where the leakage is happened and we can fix it easily. Our main ...  Read More

Original Article
Prediction of fertilizer in horticulture through IoT enabled technology

Agyan Kumar; Antonio Clecio Fontelles Thomaz

Volume 3, Issue 1 , March 2023, Pages 15-20

https://doi.org/10.22105/bdcv.2022.332448.1057

Abstract
  Wireless sensor networks due to their vast area of application being used in current research areas. In agricultural field like greenhouses, various climatic condition parameters are essential to monitored for regulation of crop production. Smooth farming by means of the use of web of things advances ...  Read More

Original Article
Greenhouse monitoring with wireless sensor network

Samira Torabi; Lu Fan

Volume 3, Issue 1 , March 2023, Pages 21-25

https://doi.org/10.22105/bdcv.2022.371385.1087

Abstract
  Greenhouse works with exact observing and controlling of different boundaries, to develop quality conscience crops without killing assets. The cabling laid for the sensors, conveyed inside the greenhouse isn't possible. Thus the need for a computerized framework utilizing remote correspondence, what's ...  Read More

Original Article
Soil quality based agricultural activity through IoT and wireless sensor network

Zhi Zhou

Volume 3, Issue 1 , March 2023, Pages 26-31

https://doi.org/10.22105/bdcv.2022.332447.1056

Abstract
  In India, agriculture plays an important role in providing various goods such as vegetables, fruits, grains, etc. Farmers have been producing crops in the fields day and night. For producing these products. Now days, the production of the crops in the yields are reducing year by year. This is mainly ...  Read More

Original Article
Application sensors in smart cities deployment

Victoria Nozick

Volume 3, Issue 1 , March 2023, Pages 32-38

https://doi.org/10.22105/bdcv.2022.371383.1086

Abstract
  Programmable foundation has experienced the characteristic for directing the instruments in the network. The plotting of uses of the network has begun the potential of the example of SDN that has aided in the enhancement of directing the network. Dossier Planes and Control Planes are deflected from each ...  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

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

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

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