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

Forest Fire Detection Using Wireless Sensors and Networks

Mingyue Wang

Volume 2, Issue 3 , September 2022, , Pages 107-111

https://doi.org/10.22105/bdcv.2022.332453.1060

Abstract
  Wireless sensor network technologies normally deploy a large number of small, low cost sensors, fairly densely that can observe and influence the physical world around them by gathering physical information, transform it into electrical signals, send it to a remote location to do some analysis and deploy ...  Read More

Adoption of Drone Technology for the Smart Safety Mechanism of Women

Victoria Nozick

Volume 2, Issue 3 , September 2022, , Pages 128-132

https://doi.org/10.22105/bdcv.2022.333758.1073

Abstract
  In any other place in the world, people crave for protection during dark times (Night). Either it is man or women. Everyone is scared of being alone where dark looks like a haunting one to everyone. Where people are going MAD towards women during at that point. So, I am contributing this project to all ...  Read More

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

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

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