|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jun Ma, Jiateng Li, Zaiyan Gong and Hongwei Huang
The existing forward collision warning (FCW) systems that adopt kinematic or perceptual parameters have some drawbacks in the warning performance because of poor adaptability to the users or ineffectiveness of the warnings. To solve the problems of adapt...
ver más
|
|
|
|
|
|