The coronavirus (COVID-19) pandemic is causing a worldwide health catastrophe, so according to the World Health Organization (WHO), wearing masks in public is an effective safety method. The COVID-19 pandemic has forced governments around the world to impose quarantines to prevent transmission of the virus. According to reports, wearing masks in public does reduce the threat of transmission of the virus. An efficient and cost-effective way to use Artificial Intelligence (AI) to create a secure environment in a manufacturing environment. A hybrid model for using a deep and classic face mask detection device will be proposed. The face mask detection dataset includes the mask, and without mask photos, it uses the Open-Source Computer Vision Library (OpenCV) to detect faces in real-time from the stay circulation through the webcam. It uses the dataset to build a computer vision COVID-19 face mask detector using Python, OpenCV, TensorFlow, and Keras. Using computer vision and deep learning, the goal is to understand whether a character in a picture or video stream is wearing a mask or not using computer vision and deep learning.
Facebook is very familiar in the country over the past decade. It helps to connect global citizens through a social network on the Internet. Many people use the Facebook network to communicate and exchange opinions. There are many positive aspects, although it spoils some individuals' lives. One of the main areas that can become aware of is time. The first and vital thing is that "it will kill the viewers' time" because it provides them with entertainment. Gradually, this causes viewers to listen more often to the posts of others. This is due to the desire to know others; they may be friends or relatives. The aim of this paper is to investigate Facebook addiction among prospective teachers and to find the difference between potential teachers in their dependence on Facebook in relation to marital status, place of residence, number of family members, father's profession, and mother's profession. This paper uses a survey method to determine the dependence of future teachers on Facebook. The paper consists of 60 samples of the population of a teacher training college. It uses the Facebook Addiction Scale tool for the present study. The conclusion shows that there is no significant difference between potential teachers in their dependence on Facebook in terms of marital status, place of residence, number of family members, father's profession, and mother's profession. Many of them use Facebook to share their daily activities with friends. This causes eagerness among recipients and senders. Thus, other background variables did not affect the use of Facebook by potential teachers.
Data is a more basic resource for all associations than at any other time in recent memory. Recent advances and models such as sensor platforms, IoT, distributed computing, and information exploration make it possible for the inevitable, skilled, and real collection of information. Information security and protection are essential for information to be used to its full potential. Despite the fact that information security and protection have been mostly considered during the last few years, today it is faced with new and unpleasant problems in information security and protection. Part of these difficulties arises from security concerns about the use of information and from the need to combine security with the use of information for security in applications such as national insurance, counter-terrorism and well-being, food, and water security. Various difficulties arise due to the fact that the organization of a new set of data and processing devices, for example, used in the IoT, increases the information attack surface. This paper reviews the significant ideas and approaches to information security, protection and identifies the research challenges that should be addressed with comprehensive solutions to information security and privacy questions.
The Internet has changed everyone's life. Social networks may have only been initiated with the help of the Internet. Today's generation is using the internet, which means social media like Snap-chat, Twitter, Facebook, etc., is increasing. Hence, the purpose of this paper is to understand the positive and negative outcomes of social media. In addition, this paper discusses the current situation, the previous situation, and the situation where people do not have social networks. Finally, the influence of social networks on different stages of a person's life is described.
The global fitness company estimates that by 2030, Chronic Obstructive Pulmonary Disease (COPD) will be the third leading cause of death in the world. Computerized Tomography (CT) of the lungs includes a number of structures that may be important in the prognosis and evaluation of lung disease. CT images of the lungs show a section of the chest that constitutes a large number of systems, including blood vessels, arteries, respiratory vessels, pulmonary pleura, and parenchyma, each with its own information. For this reason, the phasing of the lung systems is very important for the analysis and diagnosis of lung diseases. Segmentation is an important step in the photographic structure for the correct diagnosis of lung disease, as it delimits lung systems on CT images. Of course, imaging strategies can aid in computer analysis if the lung area is properly obtained. After the segmentation procedure, an automatic technique is used to identify possible diseases on CT scans of the lungs so the radiologist can focus on the prognosis of the patient. Several studies have shown promising results in detecting violations.
