Interpretive Structural Modeling (ISM) is a technique to establish the interrelationships between elements of interest in specific domain through experts’ knowledge context elements. This has been applied numerous domains and list continues grow due its simplistic concept, while sustainability taken lead. The partially automated or manual application this prone errors as witnessed literature series mathematical steps higher-order computing complexity. Therefore, work proposes develop an...

The Accreditation Board for Engineering and Technology (ABET) accredits the tertiary education programs in areas of applied natural science, computing, engineering, engineering technology. ABET offers accreditation United States other regions world that lack such entities as Gulf Cooperative Counties (GCC). Though is voluntary, graduates ABET-accredited are considered equivalent knowledge, behaviors, attitude with global standards. process takes months or years depending upon gap readiness...

One of the most important concerns in planning and operation an electric power generation system is effective scheduling all facilities to meet growing demand. Economic load dispatch (ELD) a phenomenon where optimal combination generating units selected such way as minimize total fuel cost while satisfying demand, subject operational constraints. Different numerical metaheuristic optimization techniques have gained prominent importance are widely used solve nonlinear problem. Although good...

Orthopedic trauma results in the injury of bone joints and tendons body. A radiologist reviews monitors large numbers radiographs daily, which can lead to diagnostic error. Therefore, there is a need automate detection fractures X-ray images, particularly humerus fractures. In this paper, we have proposed an ensemble model that detect fracture x-ray image.

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...

The increasing demands of several emergent services brought new communication problems to vehicular networks (VNs). It is predicted that the transmission system assimilated with unmanned aerial vehicles (UAVs) fulfills requirement next-generation network. Because its higher flexible mobility, UAV-aided network brings transformative and far-reaching benefits extremely high data rates; considerably improved security reliability; massive hyper-fast wireless access; much greener, smarter, longer...

Vaccine acceptance is a crucial component of viable immunization program in healthcare system, yet the disparities new and existing vaccination adoption rates prevail across regions. Disparities rate vaccine result low coverage slow uptake newly introduced vaccines. This research presents an innovative AI-driven predictive model, designed to accurately forecast within programs, while providing high interpretability. Primarily, contribution this study classify acceptability into Low, Medium,...

Human action and activity recognition are clues that alleviate human behavior analysis. (HAR) becomes a significant challenge in various applications involving computer interaction (HCI) intellectual video surveillance for enhancing security distinct fields. Precise is highly challenging because of the variations clutter, backgrounds, viewpoint. The evaluation method depends on proper extraction learning data. achievement deep (DL) models results effectual performance several image-related...

Medical education is one of the most sought-after disciplines for its prestigious and noble status. Institutions endeavor to identify admissions criteria register bright students who can handle complexity medical training become competent clinicians. This study aims apply statistical educational data mining approaches relationship between pre-admission student performance in programs at a public university Saudi Arabia. The present retrospective cohort conducted College Computer Science,...

Generally, mathematical abilities have a certain degree of importance in computer science education and correlation between mathematics programming, derived from small samples, had been suggested. However, our study investigates whether the is statistically significant or not by analysing large data set spanning nineteen years for two programming modules with syllabi which undergone minimal changes. In this paper, statistical analysis based on students’ performance has used to determine...

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

Sarcasm detection has emerged due to its applicability in natural language processing (NLP) but lacks substantial exploration low-resource languages like Urdu, Arabic, Pashto, and Roman-Urdu. While fewer studies identifying sarcasm have focused on languages, most of the work is English. This research addresses gap by exploring efficacy diverse machine learning (ML) algorithms Urdu. The scarcity annotated datasets for becomes a challenge. To overcome challenge, we curated released...

Forecasting the stock market is essential for investors to help assess potential financial movement of value. Therefore, accurate estimation and price contributes more profit through making informed investment judgments. Thus, popularity forecasting increased because difficulty this field that it unforecastable cannot be controlled its volatile nature affected by several factors. Nevertheless, machine learning succeeded in future based on analysis time series data collected over time. The...

The coronavirus disease 2019 (COVID-19) pandemic has caused the world to operate uncharacteristically for almost last two years. Governments across globe have taken different control measures eradicate it. Oxford COVID-19 Government Response Tracker (OxCGRT) provides open access data countries on 20 measures, including numerous aggregated indices. This paper employs modified Susceptible-Exposed-Infectious-Recovered (SEIR) epidemiology model study in Saudi Arabia. modification been achieved...

The extraction of multi-document summarization (MDS) has become the dominant technique to offer a compact form documents that manages opposite characteristic real documents. This finds subset similarity from input (words/phrases/sentences) in original text summary contrast. paper illustrated upon between MDS problem with vertex cover (VCP) and some important factors for effective implementation algorithm (VCA) identified through systematic review literature using SMART (Specific, Measurable,...

Nowadays, security plays an important role in Internet of Things (IoT) environment especially medical services' domains like disease prediction and data storage. In healthcare sector, huge volumes are generated on a daily basis, owing to the involvement advanced health care devices. general terms, images highly sensitive alterations due which any modifications its content can result faulty diagnosis. At same time, it is also significant maintain delicate contents during reconstruction stage....