Quarterly Publication
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

Object Detection by Neural Network for Smart Home

Ibrahim Mekawy

Volume 2, Issue 4 , December 2022, , Pages 143-148

https://doi.org/10.22105/bdcv.2022.333756.1072

Abstract
  Household object detection is a brand-new computer technique that combines image processing and computer vision to recognize 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

Smart Fire Detection Using Wireless Sensors and Networks for Forest

Aziza Algarni

Volume 2, Issue 4 , December 2022, , Pages 154-158

https://doi.org/10.22105/bdcv.2022.334374.1078

Abstract
  We all know forest is very important resource of oxygen. Saving our environmental resources is human beings responsibility. One of the techniques to save forests is forest fire detection. This is a technique used to detect the fire and prevent them in less time. Forest fire leads to death of wild life ...  Read More

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

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

Academic progress monitoring through neural network

Ramri Shukla; Bardia Khalilian; Sara Partouvi

Volume 1, Issue 1 , March 2021, , Pages 1-6

https://doi.org/10.22105/bdcv.2021.142228

Abstract
  To lessen the impact of a low student success rate, it's critical to be able to identify students who are in danger of failing early on, so that more targeted remedial intervention may be implemented. Private colleges use a variety of techniques, including increased tuition, expanded laboratory access, ...  Read More