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Wencong Xu, Hongyi Lu, Lei Zhao and Borui He
In recent years, with the rapid development of computer technology and artificial intelligence design technology, multiple possible design solutions can be quickly generated by transforming the experience and knowledge of structural design into computer ...
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Christine Dewi, Danny Manongga, Hendry, Evangs Mailoa and Kristoko Dwi Hartomo
Face mask detection is a technological application that employs computer vision methodologies to ascertain the presence or absence of a face mask on an individual depicted in an image or video. This technology gained significant attention and adoption du...
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Shirshendu Chatterjee, Bikash K. Behera and Felix J. Seo
A quantum simulation experiment pairing Hamiltonians of nearest-neighbor interacting superconducting qubits was performed with a complete set of algorithms on an IBM Quantum Computer-IBMq Lima. The experiment revealed that the fidelity is a function of i...
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Algirdas Dobrovolskis, Egidijus Kazanavicius and Laura Ki?auskiene
The technological maturity of AI solutions has been consistently increasing over the years, expanding its application scope and domains. Smart home systems have evolved to act as proactive assistants for their residents, autonomously detecting behavioral...
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Satoshi Hyokawa and Masazumi Ueba
The Aerospace Plane Research Center at the Muroran Institute of Technology is currently conducting research to develop enabling technologies for high-speed aircraft traveling at high altitudes and constructing experimental, small-scale, unmanned superson...
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Georgios Prapas, Kosmas Glavas, Katerina D. Tzimourta, Alexandros T. Tzallas and Markos G. Tsipouras
Brain-computer interfaces (BCIs) are becoming an increasingly popular technology, used in a variety of fields such as medical, gaming, and lifestyle. This paper describes a 3D non-invasive BCI game that uses a Muse 2 EEG headband to acquire electroenceph...
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Jiaming Song, Xiaojuan Wang, Mingshu He and Lei Jin
In computer networks, Network Intrusion Detection System (NIDS) plays a very important role in identifying intrusion behaviors. NIDS can identify abnormal behaviors by analyzing network traffic. However, the performance of classifier is not very good in ...
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Rui Li and Yaxin Zu
Pedestrian detection represents one of the critical tasks of computer vision; however, detecting pedestrians can be compromised by problems such as the various scale of pedestrian features and cluttered background, which can easily cause a loss of accura...
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Hossein Shahverdi, Mohammad Nabati, Parisa Fard Moshiri, Reza Asvadi and Seyed Ali Ghorashi
Human Activity Recognition (HAR) has been a popular area of research in the Internet of Things (IoT) and Human?Computer Interaction (HCI) over the past decade. The objective of this field is to detect human activities through numeric or visual representa...
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Lukas Busch, Ruben van Heusden and Maarten Marx
Page stream segmentation (PSS) is the task of retrieving the boundaries that separate source documents given a consecutive stream of documents (for example, sequentially scanned PDF files). The task has recently gained more interest as a result of the di...
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