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
Green IoT: how wireless sensor networks are paving the way for sustainable smart environments

Haifa Alqahtani

Volume 3, Issue 2 , June 2023, Pages 39-44


  The Internet of Things (IoTs) enables the incorporation and connecting of physical devices to the internet with little human intervention and human-to-human or human-to-PC communication. It discusses the future pattern and the next major upheaval unfolding in the realm of information technology. Individuals ...  Read More

Original Article
An introductory guide to cloud load balancing techniques

Mingyue Wang

Volume 3, Issue 2 , June 2023, Pages 45-49


  The goal of research in the intriguing area of cloud computing is to discover the most effective solution and method for sharing and protecting data. Load Balancing (LB) on public infrastructure using cloud computing's ideal geographic location. In cloudy environments, LB is widely used as a visitor ...  Read More

Original Article
Efficient task scheduling for cloud computing: a comparative survey of state-of-the-art algorithms

Aziza Algarni

Volume 3, Issue 2 , June 2023, Pages 50-54


  Cloud computing is an essential tool for sharing resources across virtual machines, and it relies on scheduling and load balancing to ensure that tasks are assigned to the most appropriate resources. Multiple independent tasks need to be handled by cloud computing, and static and dynamic scheduling plays ...  Read More

Original Article
Smart homes, smarter living: home automation with IoT

Lu Fan

Volume 3, Issue 2 , June 2023, Pages 55-62


  This paper will explain that the growing global population and increasing energy utilization have underscored the urgent need to conserve energy through every available means. One significant factor contributing to energy waste is the lack of access to and control over applications from remote locations. ...  Read More

Original Article
From fitness trackers to medical devices: wearable technologies

Zhi Zhou

Volume 3, Issue 2 , June 2023, Pages 63-69


  Wearable technology, wearables, fashion technology, smart wear, skin electronics, or fashion electronics are smart electronic devices. Wearable technology has various applications that grow as the field expands. It appears prominently in consumer electronics with the popularization of the smartwatch ...  Read More

Original Article
Blockchain-powered wireless sensor networks: enhancing security and privacy in the IoT era

Ibrahim Mekawy

Volume 3, Issue 2 , June 2023, Pages 70-75


  Nowadays, we know that Wireless Sensor Networks (WSNs) are being widely applied in many fields of human life such as civil and military applications. WSNs are broadly applied for various applications in tracking and surveillance due to their ease of use and other distinctive characteristics compelled ...  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


  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


  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


  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

Smart bus ticketing system through IoT enabled technology

Agyan Kumar; Antônio Clécio Fontelles Thomaz

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


  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


  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
Working of Cloud Computing with No Data Center

Agyan Kumar

Articles in Press, Accepted Manuscript, Available Online from 24 August 2023


  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
Task Scheduling Algorithms in Cloud Computing Environment

Agyan Kumar

Articles in Press, Accepted Manuscript, Available Online from 26 August 2023


  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
Deep Attributes and Decisions Fusion for No-Reference Video Quality Analysis

adil baig

Articles in Press, Accepted Manuscript, Available Online from 18 September 2023


  Video quality assessment (VQA) is a critical component of a wide range of technologies, including automated video broadcasting through displaying technologies. Moreover, determining visual quality necessitates a balanced examination of visual features and functionality. Previous research has also shown ...  Read More

Original Article
An Action Research of Student Cognative English Program: The Online Activity Teaching Strategy Applications

Han-Kwang Chen

Articles in Press, Accepted Manuscript, Available Online from 23 September 2023


  The study aimed to examine difficulties encountered by high education agencies through action research and to integrate “Online Activity” into an after-school English program at a university to optimize their teaching strategy. The study was conducted between October and December 2022. “Online ...  Read More