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Galina Ilieva, Tania Yankova, Margarita Ruseva, Yulia Dzhabarova, Veselina Zhekova, Stanislava Klisarova-Belcheva, Tanya Mollova and Angel Dimitrov
The objective of this study is to investigate and determine factors influencing user perception and acceptance of electronic government services in the context of technological advancements. The research focuses on classifying the main features of e-admi...
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Wonhyuk Cho, Seeyoung Choi and Hemin Choi
The advancement of data technology such as machine learning and artificial intelligence has broadened the scope of human resources (HR) analytics, commonly referred to as ?people analytics.? This field has seen significant growth in recent years as organ...
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Silvia Auricchio, Francesco Cirotto and Antonio Giannini
A novel machine learning (ML) approach based on a recurrent neural network (RNN) for event topology identification in high energy physics (HEP) is presented. The vector-boson fusion (VBF) production mechanism arising in proton-to-proton collisions is pre...
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Zeyuan Zhao, Ping Li, Yongjie Dai, Zhaoe Min and Lei Chen
Alzheimer?s disease (AD) is an irreversible neurodegenerative disease. Providing trustworthy AD progression predictions for at-risk individuals contributes to early identification of AD patients and holds significant value in discovering effective treatm...
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Fatima Azzam, Mariam Jaber, Amany Saies, Tareq Kirresh, Ruba Awadallah, Abdallah Karakra, Hafez Barghouthi and Saleh Amarneh
The field of electronic government (e-government) is gaining prominence in contemporary society, as it has a significant influence on the wider populace within the context of a technologically advanced world. E-government makes use of information and com...
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Timothy Tadj, Reza Arablouei and Volkan Dedeoglu
Data trust in IoT is crucial for safeguarding privacy, security, reliable decision-making, user acceptance, and complying with regulations. Various approaches based on supervised or unsupervised machine learning (ML) have recently been proposed for evalu...
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Alexandru-Liviu Olteanu, Marc Sevaux and Mohsen Ziaee
In this paper, an unrelated parallel machine scheduling problem with job (product) and machine acceptance and renewable resource constraints was considered. The main idea of this research was to establish a production facility without (or with minimum) i...
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Evon M. Abu-Taieh, Issam AlHadid, Sabah Abu-Tayeh, Ra?ed Masa?deh, Rami S. Alkhawaldeh, Sufian Khwaldeh and Ala?aldin Alrowwad
Mobile banking is a service provided by a bank that allows full remote control of customers? financial data and transactions with a variety of options to serve their needs. With m-banking, the banks can cut down on operational costs whilst maintaining cl...
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Evon M. Abu-Taieh, Issam AlHadid, Khalid Kaabneh, Rami S. Alkhawaldeh, Sufian Khwaldeh, Ra?ed Masa?deh and Ala?Aldin Alrowwad
Smartphone addiction has become a major problem for everyone. According to recent studies, a considerable number of children and adolescents are more attracted to smartphones and exhibit addictive behavioral indicators, which are emerging as serious soci...
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Ahmed Shahzad, Bushra Zafar, Nouman Ali, Uzma Jamil, Abdulaziz Jarallah Alghadhban, Muhammad Assam, Nivin A. Ghamry and Elsayed Tag Eldin
Respiratory viruses known as coronaviruses infect people and cause death. The multiple crown-like spikes on the virus?s surface give them the name ?corona?. The pandemic has resulted in a global health crisis and it is expected that every year we will ha...
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