Field Static Load Tests of Post-Grouted Piles under Various Failure Conditions by Jialin Zhou, Jianwei Zhang, Yuzhuo Wang, Erwin Oh

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An Ultra-Wideband Reference Frequency Chirp Generator Utilizing Fractional Frequency Divider With High Linearity by Bent Walther, Lukas Polzin, Marcel van Delden, Thomas Musch

“…For this reason, we present a novel architecture combining a fixed-integer phase-locked loop (PLL) with a fast-modulated frequency divider. …”
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Study on Temporal and Spatial Characteristics of Overlying Strata in the Deep Coal Mining Process by Bang’an Zhang, Yushun Yang, Dongming Zhang

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Secured Routing Protocol for Improving the Energy Efficiency in WSN Applications by Y. P. Makimaa, R. Sudarmani

“…A staggering number of applications rely on the network architecture to carry out their tasks, which has led to a fast growth in wireless sensor networks (WSN). …”
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Automating skin cancer screening: a deep learning by Nada M. Rashad, Noha MM. Abdelnapi, Ahmed F. Seddik, M. A. Sayedelahl

“…Our approach leverages the high accuracy of a specific convolutional neural network architecture, utilizing transfer learning with pre-trained data to further enhance detection performance. …”
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Open science 2.0: revolutionizing spatiotemporal data sharing and collaboration by Siqin Wang, Xiao Huang, Mengxi Zhang, Shuming Bao, Lingbo Liu, Xiaokang Fu, Ting Zhang, Yongze Song, Peter Kedron, John Wilson, Xinyue Ye, Chaowei Yang, Wendy Guan

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Using an Artificial Neural Network to Validate and Predict the Physical Properties of Self-Compacting Concrete by K. Thirumalai Raja, N. Jayanthi, Jule Leta Tesfaye, N. Nagaprasad, R. Krishnaraj, V. S. Kaushik

“…Specialist systems based on the fully connected cascade (FCC) architecture in artificial neural networks (ANN) are used to estimate the compressive toughness of SCC. …”
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A comprehensive dataset and neural network approach for named entity recognition in the Uzbek languageMendeley Data by Davlatyor Mengliev, Vladimir Barakhnin, Mukhriddin Eshkulov, Bahodir Ibragimov, Shohrux Madirimov

“…Moreover, in conclusion, the authors propose possible scenarios for the development of the work, in the form of further scaling of the dataset, as well as the use of other neural network architectures.…”
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D2CBDAMAttUnet: Dual-Decoder Convolution Block Dual Attention Unet for Accurate Retinal Vessel Segmentation From Fundus Images by Vo Trong Quang Huy, Chih-Min Lin

“…In light of this, Deep Convolutional Neural Networks (DCNNs), particularly those based on the U-Net architecture, have been acknowledged for their effectiveness in capturing and utilizing contextual features within this context. …”
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APPLICATION OF ARTIFICIAL INTELLEGENCE ALGORITHMS TO CONTROL THE USE OF FLOOD-PRONE AREAS by Konstantin A. Kurganovich, Andrey V. Shalikovskiy, Maksim A. Bosov, Denis V. Kochev

“…The best result in terms of speed and accuracy was shown by the U-Net architecture, built using a convolutional neural network with an SE-ResNeXt50 encoder. …”

Experimental Study and Extended Finite Element Simulation of Fracture of Self-Compacting Rubberized Concrete by Xinquan Wang, Hongguo Diao, Yunliang Cui, Changguang Qi, Shangyu Han

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The Study on Early-Age Expansion and Shrinkage Model of Massive Self-Compacting Concrete Pumped in Steel Tube Column by Zhen-jun He, Meng-jia Ding, Zhen-wei Wang, Xue-sheng Zhang, Mei-gen Cao, Ming-wei Lei

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TEICHI and the Tools Paradox by Sebastian Pape, Christof Schöch, Lutz Wegner

“…Therefore, we compare the TEICHI framework specifically to the Versioning Machine (VM) and the Scalable Architecture for Digital Editions (SADE). We look at these tools from four perspectives: that of the user interacting with the digital edition or archive, of the editor encoding and publishing texts, of the administrator setting up the publishing tool, and of the programmer possibly modifying or enhancing the tool. …”
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Analysis of Children’s Traffic Behaviour at Signalized Crosswalks as a Precondition for Safe Children Routes Design: A Case Study from Croatia by Aleksandra Deluka-Tibljaš, Sanja Šurdonja, Irena Ištoka Otković

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IDMPF: intelligent diabetes mellitus prediction framework using machine learning by Leila Ismail, Huned Materwala

“…Findings – The authors provide critical analysis of machine learning models, propose and evaluate an intelligent machine learning-based architecture for diabetes prediction. The authors implement and evaluate the decision tree (DT)-based random forest (RF) and support vector machine (SVM) learning models for diabetes prediction as the mostly used approaches in the literature using our framework. …”
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A Pipelined Hardware Design of FNTT and INTT of CRYSTALS-Kyber PQC Algorithm by Muhammad Rashid, Omar S. Sonbul, Sajjad Shaukat Jamal, Amar Y. Jaffar, Azamat Kakhorov

“…Therefore, this work presents a unified NTT hardware accelerator architecture to facilitate the polynomial multiplications of the CRYSTALS-Kyber PQC algorithm. …”
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The Performance and Mechanism Analysis of Cement Pastes Added to Aluminum Sulfate-Based Low-Alkali Setting Accelerator by Xingdong Lv, Yan Shi, Yun Dong, Zhiyang Gao, Beixing Li

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An institutional framework to support ethical fair and equitable artificial intelligence augmented care by Steven Dykstra, Matthew MacDonald, Rhys Beaudry, Dina Labib, Melanie King, Yuanchao Feng, Jacqueline Flewitt, Jeff Bakal, Bing Lee, Stafford Dean, Marina Gavrilova, Paul W. M. Fedak, James A. White

“…The described framework, conceptually developed to support a multi-site cardiovascular institute, is translatable to other disease domains, offering a validated architecture for use by large-scale tertiary care institutions.…”
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A novel strategy for eradication of staphylococcal biofilms using blood clots by Kayla E. Grooters, Sheridan L. Hayes, David M. Richter, Jennifer C. Ku, Robert Sawyer, Yong Li

“…We then investigated the impact of this treatment on biofilm density, metabolism, and architecture.ResultsOur pilot study demonstrates that this method of antibiotic delivery results in improved biofilm clearance, relative to conventional exposure methods.DiscussionOur results demonstrate that blood clot exposure has an intrinsic impact on biofilm density and potentially reduces colonization, warrenting further investigation into the mechanism.…”
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Development of CNN-Based Semantic Segmentation Algorithm for Crop Classification of Korean Major Upland Crops Using NIA AI HUB by Dong-Wook Kim, Gyujin Jang, Hak-Jin Kim

“…This study developed a modified U-Net architecture for semantic segmentation, utilizing UAV-based high-resolution imagery in the open-source NIA AI HUB dataset. …”
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