This study explores green work engagement in response to the global demand for sustainability businesses and shift toward green-oriented agendas. Specifically, this aims examine how (GWE) is affected by artificial intelligence awareness (AIA) through job stress (JS) as a mediator. It also moderating roles of technological self-efficacy (TSE) AIA→JS relationship trust leadership (TIL) GWE→JS relationship. A PLS-SEM analysis was conducted on 392 valid replies from full-time employees five-star...

This research addresses the pervasive issue of traffic congestion during Hajj, where approximately 250,000 vehicles substantially exacerbate travel times and road accidents, while also escalating pollution levels, thereby adversely affecting public health. Aimed at bolstering Kingdom's Vision 2030, study focuses on incorporation artificial intelligence (AI) advanced communication technologies to optimize management in Mecca. Through innovative deployment smart cameras real-time data...

For over two decades, e-learning has been recognized as a flexible and faster method compared to the other established methods, especially in enhancing knowledge. Concurrently, expansion of information technology applications, such mobile applications Artificial Intelligence (AI), provided well-grounded foundations for be more reachable. In particular, education can seen most beneficial sector advancements e-learning. Machine learning is considered form personalized that could used give each...

The Hajj is a religious event that attracts significant number of Muslims from various countries who perform rituals in Mecca, Saudi Arabia. Despite the high volume pilgrims typically participate event, has been reduced recent years due to COVID-19 pandemic. satisfaction with quality hospitality services provided during crucial factor must be studied and understood. To achieve this goal, psychological theories have employed explain phenomenon. advancement big data artificial intelligence...

In today's world, fake news on social media is a universal trend and has severe consequences. There been wide variety of countermeasures developed to offset the effect propagation Fake News. The most common are linguistic-based techniques, which mostly use deep learning (DL) natural language processing (NLP). Even government-sponsored organizations spread as cyberwar strategy. literature, computational-based detection investigated minimize it. initial results these studies good but not...

The authors would like to make the following correction published paper [...]

Covid-19 is one of the pandemics that has shocked world. Having originated from China, virus rapidly spread across many countries There was a need to come up with mechanisms manage virus. The traditional methods temperature capture through thermal handheld gun thermometers were tedious and exposed officers same Therefore, due technological advancement, Internet Things been widely used smart devices being developed. This study proposes an IoT-enabled helmet scans individuals for high...

The COVID-19 pandemic has threatened the lives of many people, especially elderly and those with chronic illnesses, as well threatening global economy. In response to pandemic, medical centers, including dental facilities, have significantly reduced treatment patients by limiting clinical practice exclusively urgent, nondeferred care. Dentists are more vulnerable contracting COVID-19, due necessity dentist being close patient. One precautions that dentists take avoid transmitting infections...

Several studies were taken to effectively determine the importance of data mining in business model development for decision support system. It was later discovered that most businesses have invested heavily process which enables them easily study and analyse market environment improve their domination market. Data is a used by firms collect information about certain topic. One factor usually focuses more on value measurable performance increased innovation The aim current research...

The techniques of requirement traceability have evolved over recent years. However, as much they contributed to the software engineering field, significant ambiguity remains in many processes. This paper reports on an investigation artefacts, stakeholders, and SDLC development models. Data were collected gather evidence artefacts their properties from previous studies. aim was find missing link between relationship one another, undertakes first phase main research project, which aims develop...

Classification is based on machine learning, in which each element a set of data classified into one predetermined groups. In mining, an artificial neural network (ANN) the most significant methodology because exact results obtained through this algorithm and applied solving many classification problems. ANN consists group types feed-forward networks, feed-back network, RFB probabilistic networks (PNN). For issues, PNN frequently utilized. The primary goals research are to fine-tune weights...

Due to the presence of a lot buildings in most universities and difficulty finding classrooms, which may cause delays attending some lectures, especially for newly joined student, affect educational process. A questionnaire was used female students lectures Umm Al-Qura University around twenty-One responses were gathered. Based on results obtained from questionnaire, researchers concluded need develop an application that works with same idea as Google Maps. The data this research gathered...

There are many customer service skills which every employee needs to master if they deal with customers on a regular basis. Without these skills, company's department can be thrown into chaos and disappointments, not mention the loss of support continues let them down. In order facilitate appropriate support, applications exist contribute in different ways provide speed break down barriers. This is especially important large spaces crowded goods, reducing time effort for reach parts desire...