Real world federated learning with a knowledge distilled transformer for cardiac CT imaging by Malte Tölle, Philipp Garthe, Clemens Scherer, Jan Moritz Seliger, Andreas Leha, Nina Krüger, Stefan Simm, Simon Martin, Sebastian Eble, Halvar Kelm, Moritz Bednorz, Florian André, Peter Bannas, Gerhard Diller, Norbert Frey, Stefan Groß, Anja Hennemuth, Lars Kaderali, Alexander Meyer, Eike Nagel, Stefan Orwat, Moritz Seiffert, Tim Friede, Tim Seidler, Sandy Engelhardt

“…Leveraging these could enhance transformer architectures’ ability in regimes with small and diversely annotated sets. …”
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Le Queenborough d’Ellen Glasgow : cartographie d’une Babylone en devenir by Brigitte Zaugg

“…The portrait she drew was dictated by the period, the turn of the century—a time of societal, economic and architectural changes. Queenborough stands at a crossroads, poised between a past holding it back and a future pulling it forward. …”
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Advances in water splitting and lithium-ion batteries: pioneering sustainable energy storage and conversion technologies by Syeda Maria Hashmi, Shah Noor, Warda Parveen

“…Electrode materials, electrolytes, and battery architectures that enhance performance and safety for Li-ion batteries are discussed. …”
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Tradeoffs in automated financial regulation of decentralized finance due to limits on mutable turing machines by Ben Charoenwong, Robert M. Kirby, Jonathan Reiter

“…Abstract We examine which decentralized finance architectures enable meaningful regulation by combining financial and computational theory. …”
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Effect of retaining wall leakage on the deformation behavior of foundation pit in water-rich sandy strata by Mingming QIU, Xiaomin LI, Guolin YANG, Junyi DUAN

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Enhancing cracking resistance in semi-flexible pavements using an interfacial immersion method by Xiaoyu Liu, Kuanghuai Wu, Giovanni Giacomello, Yunpeng Yue, Fengming Ren, Xu Cai, Marco Pasetto

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Structural Health Monitoring Using High-Frequency Electromechanical Impedance Signatures by Wei Yan, W. Q. Chen

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The Equivalent Linearization Method with a Weighted Averaging for Solving Undamped Nonlinear Oscillators by D. V. Hieu, N. Q. Hai, D. T. Hung

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Evaluation of Subsurface Damage in Concrete Deck Joints Using Impact Echo Method by Larry Rickard, Wonchang Choi

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Analysis of the Nonlinear Structural-Acoustic Resonant Frequencies of a Rectangular Tube with a Flexible End Using Harmonic Balance and Homotopy Perturbation Methods by Y. Y. Lee

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Advanced Cementitious Materials: Mechanical Behavior, Durability, and Volume Stability by Doo-Yeol Yoo, Nemkumar Banthia, Kazunori Fujikake, Paulo H. R. Borges, Rishi Gupta

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Praetoria et tabernae en Gaule : contribution à l’identification des établissements de bord de route by Philippe Leveau

“…The article therefore argues against the practice of giving such terms a technical meaning that would justify their use in an architectural typology.…”
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Adaptive Conflict-Free Optimization of Rule Sets for Network Security Packet Filtering Devices by Andrea Baiocchi, Gianluca Maiolini, Annachiara Mingo, Daniele Goretti

“…The proposed approach suits current technology architectures and exploits available features, like traffic log databases, to minimize the impact of ACO development on the packet filtering devices. …”
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La ruine angkorienne et le fromager : une mise en cloche d’un paysage fantasmé synonyme d’inaction ? by Sébastien Preuil

“…In the specific case of Angkor, the architectural jewel of Khmer civilization, certain representations of landscapes forged during the colonial era, and which are now relayed by the media and social networks, have repercussions on the way certain temples are managed. …”
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Deep Learning-Based Glucose Prediction Models: A Guide for Practitioners and a Curated Dataset for Improved Diabetes Management by Saul Langarica, Diego de la Vega, Nawel Cariman, Martin Miranda, David C. Andrade, Felipe Nunez, Maria Rodriguez-Fernandez

“…Key questions addressed in this work encompass the comparison of various deep learning architectures for this task, determining the optimal set of input variables for accurate glucose prediction, comparing population-wide, fine-tuned, and personalized models, and assessing the impact of an individual's data volume on model performance. …”
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Salvaging a cultural identity through reintegration by Marta Gomez Ubierna

“…The following article owes much to the master’s thesis on “The Restoration of the pulpit in the church of San Leonardo in Arcetri”, which deals with an outstanding work of Florentine Romanesque art. The remaining architectural elements of the pulpit, dismantled in the sixteenth century, were reassembled on a number of occasions in 1782 and 1921, as a result of efforts to reclaim the cultural identity of the region through a revival of its medieval heritage, even down to its most fragmentary remains. …”
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Optimization and Prediction of Energy Consumption, Daylighting, and Thermal Comfort of Buildings in Tropical Areas by Jianjian Zhang, Lin Ji

“…First, this research uses Rhino3D and the Grasshopper plug-in to build an architectural model and uses the Octopus plug-in in Grasshopper to iteratively calculate the target value to solve the multiobjective balance problem and find the relative optimal value. …”
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Security and Vulnerability of SCADA Systems over IP-Based Wireless Sensor Networks by HyungJun Kim

“…To secure IP-based SCADA systems, it is vital to implement secure architectures which prevent access to the SCADA from corporate IT, in addition to excellent management practices in managing IP-based networks. …”
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Modeling and Analysis of Mechanical Properties of Aluminium Alloy (A413) Processed through Squeeze Casting Route Using Artificial Neural Network Model and Statistical Technique by R. Soundararajan, A. Ramesh, S. Sivasankaran, A. Sathishkumar

“…As a primary objective, a feed forward back propagation ANN model has been developed with different architectures for ensuring the definiteness of the values. …”
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Applications of Deep Learning to MRI Images: A Survey by Jin Liu, Yi Pan, Min Li, Ziyue Chen, Lu Tang, Chengqian Lu, Jianxin Wang

“…Then, common deep learning architectures are introduced. Next, deep learning applications of MRI images, such as image detection, image registration, image segmentation, and image classification are discussed. …”
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