Abstract: Online learning environments can be described as online domains that permit synchronous, joint interface with teachers and students; they also provide some asynchronous learning resources for students, according to Siddiqui's information bank of educational technology. Additionally, it offers a crucial understanding of computer-based learning. Online instruction uses technology and the internet to facilitate learning...Read More

Abstract: This article is intended to assess the awareness of light pollution among teacher educators. The data were collected from Teacher educators who are working in teacher education institutions under Tamil Nadu Teacher Education University (TNTEU). The self-made multiple-choice Questionnaire was used to collect the data. Both inferential and descriptive statistics were used to analyse...Read More

Abstract: Cloud computing processes vast quantities of data and offers a variety of flexible, secure, on-demand, and cost-effective collaboration options for consumers. Due to the increasing prevalence of hosted services, data security has become an increasingly critical concern. Hadoop, the engine at the heart of cloud computing, causes serious problems for the cloud. Any public,...Read More

Abstract: In this current century, most industries are moving towards automation, where human intervention is dramatically reduced. This revolution leads to industrial revolution 4.0, which uses the Internet of Things (IoT) and wireless sensor networks (WSN). With its associated applications, this IoT device is used to compute the received WSN data from devices and transfer...Read More

Abstract: The current research aims to demonstrate the role of organizational health in knowledge sharings dimensions. Organizational health is considered an independent variable with its sub-dimensions (leadership of tasks, needs of survival, needs of growth and development), while knowledge sharing is deliberately variable in its sub-dimensions (individual, organizational, technological), where the aim of the research...Read More

Abstract: Hate speech recently became a real threat in social media, and almost all social media users are intended to in different ways. Hate speech is not limited to a group or society. It affects many people and can be classified as abusive, offensive, sexism, racism, political affiliation, religious hate, nationality, skin color, disability, gender-based,...Read More

Abstract: Data generated from social networking sites, blogs, digital magazines, and news websites is the largest human-generated data. Summarization is the process of extracting the crux of a document which when done manually can be tedious and deluging. Automatic text summarization is an approach that encapsulates long documents into a few sentences or words by...Read More

Abstract: Body fitness monitoring applications are using mobile sensors to identify human activities. Human activity identification is a challenging task because of the wide availability of human activities. This paper proposes a novel technique that extracts the discriminative dimensions for human activity identification. Particularly, a novel technique with convolutional neural networks (CNN) is used for...Read More

Abstract: The primary objective of the current study is to investigate how internet use in the classroom in conjunction with metacognitive instruction affected students' metacognitive awareness, reading comprehension, and motivation. 40 pupils were randomly chosen from two eleventh-grade courses at Novin high school in Tabriz, Iran and split into two groups as follows: (a) experimental...Read More

Abstract: BACKGROUND: COVID-19 is the most dangerous virus, and its accurate diagnosis saves lives and slows its spread. However, COVID-19 diagnosis takes time and requires trained professionals. Therefore, developing a deep learning (DL) model on low-radiated imaging modalities like chest X-rays (CXRs) is needed. OBJECTIVE: The existing DL models failed to diagnose COVID-19 and other...Read More