Towards Reliable Participation in UAV-Enabled Federated Edge Learning on Non-IID Data by Youssra Cheriguene, Wael Jaafar, Halim Yanikomeroglu, Chaker Abdelaziz Kerrache

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Tilted-Mode All-Optical Diffractive Deep Neural Networks by Mingzhu Song, Xuhui Zhuang, Lu Rong, Junsheng Wang

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Enhancing augmented reality with machine learning for hands-on origami training by Mikołaj Łysakowski, Jakub Gapsa, Chenxu Lyu, Thomas Bohné, Sławomir Konrad Tadeja, Piotr Skrzypczyński, Piotr Skrzypczyński

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Pioneering the Security of EHRs Using an Immersive Blockchain Conceptual Framework by Rihab Benaich, Youssef Gahi, Saida El Mendili

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The Risks and Rewards of Embodying Artificial Intelligence with Cloud‐Based Laboratories by Nicolas Rouleau, Nirosha J. Murugan

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An android can show the facial expressions of complex emotions by Alexander Diel, Wataru Sato, Chun-Ting Hsu, Alexander Bäuerle, Martin Teufel, Takashi Minato

Subjects: “…Affective computing…”
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Bayesian Inference of Hidden Cognitive Performance and Arousal States in Presence of Music by Saman Khazaei, Md Rafiul Amin, Maryam Tahir, Rose T. Faghih

Subjects: “…Affective computing…”
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Solving Nonnative Combinatorial Optimization Problems Using Hybrid Quantum–Classical Algorithms by Jonathan Wurtz, Stefan H. Sack, Sheng-Tao Wang

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Refactoring BZIP2 on the new‐generation sunway supercomputer by Xiaohui Liu, Zekun Yin, Haodong Tian, Wubing Wan, Mengyuan Hua, Wenlai Zhao, Zhenchun Huang, Ping Gao, Fangjin Zhu, Hua Wang, Xiaohui Duan

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Economic value of HPC experience for new STEM professionals: Insights from STEM hiring managers by Winona Snapp-Childs, Winona Snapp-Childs, Claudia M. Costa, Daniel Olds, Daniel Olds, Addison Snell, Julie A. Wernert, Craig A. Stewart

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Multilayer magnetic skyrmion devices for spiking neural networks by Aijaz H Lone, Daniel N Rahimi, Hossein Fariborzi, Gianluca Setti

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A quantum entanglement-based algorithm for discriminating non-orthogonal qubits by Mohammed Zidan, Mohamed N. El-Qersh, Mahmoud Abdel-Aty, Montasir Qasymeh, Hichem Eleuch

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Comparative assessment of the state of digitalisation in higher education institutions by N. I. Aksenova, O. V. Usacheva, M. K. Chernyakov

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Assessment of Computational Technicalities for 2D/1D Coupling Method and Its Comparison with 3D MOC by Boran Kong, Han Zhang, Qinrong Dou, Zhaoyuan Liu, Chen Hao, Jiong Guo, Fu Li

“…For the transverse leakage, the Fourier expansion technique could significantly reduce the memory burden and computational cost, but with the similar accuracy as the anisotropic leakage term. …”
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Efficient Computation of Multiscale Entropy over Short Biomedical Time Series Based on Linear State-Space Models by Luca Faes, Alberto Porta, Michal Javorka, Giandomenico Nollo

“…In spite of their popularity, MSE and RMSE lack an analytical framework allowing their calculation for known dynamic processes and cannot be reliably computed over short time series. To overcome these limitations, we propose a method to assess RMSE for autoregressive (AR) stochastic processes. …”
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Automatic cervical lymph nodes detection and segmentation in heterogeneous computed tomography images using deep transfer learning by Wenjun Liao, Xiangde Luo, Lu Li, Jinfeng Xu, Yuan He, Hui Huang, Shichuan Zhang

“…Abstract To develop a deep learning model using transfer learning for automatic detection and segmentation of neck lymph nodes (LNs) in computed tomography (CT) images, the study included 11,013 annotated LNs with a short-axis diameter ≥ 3 mm from 626 head and neck cancer patients across four hospitals. …”
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A New Countermeasure against Brute-Force Attacks That Use High Performance Computers for Big Data Analysis by Hyun-Ju Jo, Ji Won Yoon

“…Using high performance parallel and distributed computing systems, we can collect, generate, handle, and transmit ever-increasing amounts of data. …”
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New process to obtain unslaked lime through microwave hybrid heating and its fluid dynamics computational modeling by Breno Henrique Booz Carvalho Corrêa, Juan Canellas Bosch Neto, Alexandre Bôscaro França, Ana Clara Cassin Cordeiro

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Diagnostic Potential of CTRP5 and Chemerin for Coronary Artery Disease: A Study by Coronary Computed Tomography Angiography by Taha Okan, Cihan Altın, Caner Topaloglu, Mehmet Doruk, Mehmet Birhan Yılmaz

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Identification and Endodontic Management of Middle Mesial Canal in Mandibular Second Molar Using Cone Beam Computed Tomography by Bonny Paul, Kavita Dube

“…This case report presents the use of three-dimensional imaging with cone beam computed tomography (CBCT) as an adjunct to digital radiography in identification and management of mandibular second molar with three mesial canals.…”
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