The increasing number in annual road fatalities has caused a major challenge in many countries. Minimising fatalities and improving safety are the top priorities of different countries. This study aimed to analyse driver behaviours in Malaysia and the impacts of practising eco-driving to improve safety, reduce fuel consumption and green gas emission by using smartphone sensors and OBD2 (ELM327) adapter based on event thresholds and machine learning algorithms. In the experimental study, 30 drivers had participated, which were 17 novice drivers (7 males and 10 females) and 13 experienced drivers (8 males and 5 females). A Honda Civic 2019 car was used in the experiment. A specific route was selected for all drivers, which consisted of two types of road (highway and urban), with a total distance of 20.6 km. The analysis of driving behaviour was based on threshold events and machine learning algorithms. This was to classify the different driving scenarios. In the driver’s pro.....

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The Sultanate of Oman has implemented M-government to improve service delivery. It provides the Ministry of Housing with unique opportunities for real-time and customised access to government information and services. However, despite the Oman Government’s best efforts, low citizen acceptance of M-government services is a common problem in Arab countries. Therefore, to increase the adoption rate, this paper investigates the factors influencing citizens’ intentions to adopt and use M-government programs for the Ministry of Housing. The technology acceptance model (TAM) was utilised for this research. In addition, three considerations were added to the equation: experience, confidence, and time. Data was gathered, and 428 relevant responses were included in the final survey. All of the proposed factors in our TAM model were statistically important in affecting citizens’ intention to embrace and use M-government services for the Ministry of Housing, according to the descriptive rese.....

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Artificial intelligence (AI) has become a crucial element of modern technology, especially in the healthcare sector, which is apparent given the continuous development of large language models (LLMs), which are utilized in various domains, including medical beings. However, when it comes to using these LLMs for the medical domain, there’s a need for an evaluation platform to determine their suitability and drive future development efforts. Towards that end, this study aims to address this concern by developing a comprehensive Multi-Criteria Decision Making (MCDM) approach that is specifically designed to evaluate medical LLMs. The success of AI, particularly LLMs, in the healthcare domain, depends on their efficacy, safety, and ethical compliance. Therefore, it is essential to have a robust evaluation framework for their integration into medical contexts. This study proposes using the Fuzzy-Weighted Zero-InConsistency (FWZIC) method extended to p, q-quasirung orthopair fuzzy set (p, .....

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Context: When the epidemic ¯rst broke out, no speci¯c treatment was available for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The urgent need to end this unusual situation has resulted in many attempts to deal with SARS-CoV-2. In addition to several types of vaccinations that have been created, anti-SARS-CoV-2 monoclonal antibodies (mAbs) have added a new dimension to preventative and treatment e®orts. This therapy also helps prevent severe symptoms for those at a high risk. Therefore, this is one of the most promising treatments for mild to moderate SARS-CoV-2 cases. However, the availability of anti-SARS-CoV-2 mAb therapy is limited and leads to two main challenges. The ¯rst is the privacy challenge of selecting eligible patients from the distribution hospital networking, which requires data sharing, and the second is the prioritization of all eligible patients amongst the distribution hospitals according to dose availability. To our knowledge, no research combi.....

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Agriculture 4.0 plays a crucial role in shaping sustainable cities and societies by revolutionizing urban food systems. By incorporating advanced technologies like precision farming, vertical gardening, and data analytics, Agriculture 4.0 improves local food production, reduces food transportation, and optimizes resource utilization. This paper introduces an innovative approach using Multi-Criteria Decision Making (MCDM) to assess Agriculture 4.0 Decision Support Systems (ADSS), contributing significantly to the selection of optimal systems that can drive sustainability in smart agriculture. The novelty of this research lies in developing a comprehensive evaluation framework that extends the hyperbolic fuzzy-weighted zero-inconsistency method for criteria weighting, combined with the combinative distance-based assessment method for benchmarking ADSS. The assessment matrix evaluates 13 ADSS across eight key criteria, including “accessibility,” “re-planning,” “expert knowledge,.....

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In this article, the affiliation 'Technical College, Imam Ja’afar Al-Sadiq University, Baghdad, Iraq' for Author A.S. Albahri and the affiliations, "MEU Research Unit, Middle East University, Amman, Jordan" and "Applied Science Research Center, Applied Science Private University, Amman, Jordan" for author A.H. Alamoodi were missing and have now been included. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024...

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Mobile apps for sign language are a fascinating area of research that merits a lot of attention. These apps are widely used due to their affordability and usability. Nevertheless, the quality of these apps needs to be evaluated if they are to have a significant influence. The outcomes of app quality assessment can also stimulate app development efforts and improvements to their functionality and accuracy. Therefore, to gain more in depth understanding, four academic databases (Science Direct, IEEE, Association for Computing Machinery, and Web of Science) were searched as part of a systematic literature review. The review highlighted that sign language apps require further development to support users in achieving the greatest possible usage and learning experience. We present a solution framework based on a quality assessment criterion for sign language mobile apps that could be adopted by academics and developers. Alternative identification, criteria, and development are the three pri.....

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Numerous nations have prioritised the inclusion of citizens with disabilities, such as hearing loss, in all aspects of social life. Sign language is used by this population, yet they still have trouble communicating with others. Many sign language apps are being created to help bridge the communication gap as a result of technology advances enabled by the widespread use of smartphones. These apps are widely used because they are accessible and inexpensive. The services and capabilities they offer and the quality of their content, however, differ greatly. Evaluation of the quality of the content provided by these applications is necessary if they are to have any kind of real effect. A thorough evaluation like this will inspire developers to work hard on new apps, which will lead to improved software development and experience overall. This research used a systematic literature review (SLR) method, which is recognised in gaining a broad understanding of the study whilst offering addition.....

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With the widespread usage of smartphones, users not just using their smartphone for calls and messaging only, but they are using it for a variety of purposes such as banking transactions, e-mailing, chatting, online shopping, video conferencing, health monitoring, and many more. Most of these activities store personal and sensitive data of the user on the device, reaching this confidential information by unauthorized person may cause huge losses and bad consequences. Therefore, securing the smartphone's accessibility from unauthorized people became an extremely essential. With the advanced development in the area of sensor-based smartphone authentication methods, different methods were developed to be easily used by users through specific criteria. However, many aspects haven't been discovered yet in the area of sensor-based smartphone authentication methods. On the basis of that, this study aims to review the area of sensor-based smartphone authentication methods systematically to pro.....

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The increasing number of road accidents is a major issue in many countries. Studying drivers’ behaviour is essential to identify the key factors of these accidents. As improving sustainability can be reached by improving driving behaviour, this study aimed to review and thoroughly analyse current driver behaviour literature that focuses on smartphones and attempted to provide an understanding of various contextual fields in published studies through different open challenges encountered and recommendations to enhance this vital area. All articles about driver behaviour with the scope of using smartphone were searched systematically in four main databases, namely, IEEE Xplore, ScienceDirect, Scopus and Web of Science, from 2013 to 2023. The final set of 207 articles matched our inclusion and exclusion criteria. The basic characteristics of this emerging field are identified from the aspects of motivations, open challenges that impede the technology's utility, authors’ recommendation.....

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