Single-atom amplification assisted by multiple sideband interference in waveguide QED systems by Kuan-Ting Lin, Ting Hsu, Fahad Aziz, Yu-Chen Lin, Ping-Yi Wen, Io-Chun Hoi, Guin-Dar Lin

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Expanded Design by Roberto Bottazzi

“…In so doing, the aim is not to abdicate a specificity of urban design and uncritically absorb computational technologies; rather, the creative process in design will provide a filter through which critically evaluate machine learning techniques. …”
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Auxiliary Converter System and It’s Characteristic Analysis of Locomotive HXD1C by 刘敏安, 刘长清

“…Auxiliary converter system of locomotive HXD1C and its logic control process was illustrated; the equivalent impedance of power circuit and characteristic of input inductance and DC-link circuit was analyzed; a method of estimating and computing the voltage and current on IGBT was proposed. …”
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IM- LTS: An Integrated Model for Lung Tumor Segmentation using Neural Networks and IoMT by Jayapradha J, Su-Cheng Haw, Naveen Palanichamy, Kok-Why Ng, Senthil Kumar Thillaigovindhan

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A High Abstract Digital Forensic Readiness Metamodel for Securing Smart Cities by Gaseb Alotibi

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Bioinformatics analyses of the proteome of Holothuria tubulosa coelomic fluid and the first evidence of primary cilium in coelomocyte cells by Laura La Paglia, Manuela Mauro, Vincenzo Arizza, Alfonso Urso, Sugár Simon, Laszlo Drahos, Vita di Stefano, Claudio Luparello, Mirella Vazzana, Aiti Vizzini

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Geometry-covering based localization for Jamming attack in wireless sensor networks by SUN Yan-qiang, WANG Xiao-dong, ZHOU Xing-ming

“…A geometry-covering based localization（GCL） algorithm was proposed with the purpose of localizing the jamming attacker in wireless sensor networks.The knowledge of the convex hull in computing geometry,especially the smallest circle covering,was utilized in the process of GCL.Simulation results showed that GCL is able to achieve higher accuracy than other comparable localization algorithms in most cases,and that has the time complexity of O（nlogn） which is proper for resource-constrained sensor networks.…”
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Artificial Intelligence-Based Design of Assemblies in the FreeCAD Software by Roman Wdowik, Artur Bełzo

“…The article presents application of the FreeCAD software and generative artificial intelligence (AI) in the design process regarding exemplary mechanical engineering-related assemblies. …”
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Analysis and development suggestions of operators in the field of industrial internet identification analysis system by Yufei CUI, Yunyong ZHANG, Di ZHANG, Xiaoxia WANG, Siyu PAN, Kun LI

“…With the development of industrial internet technology,5G and edge computing,countries have put forward their own industrial Internet development strategies and construction of industrial Internet platform.Cloud edge collaborative industrial Internet platform is an important part of the development of industrial Internet.The way of industrial Internet cloud edge collaboration was introduced,the problems in the process of cloud edge collaboration were expounded,and practices were taken based on data collaboration and model collaboration.…”
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Thresholds in East Asian marginal seas circulation due to deglacial sea level rise by Xun Gong, Yang Yu, Xuefa Shi, Xiaopei Lin, Guangliang Liu, Zhi Dong, Xuesong Wang, Jiong Zheng, Lester Lembke-Jene, Gerrit Lohmann

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Direct plasma treatment of caryopses after flowering in brewer’s rice cultivar Yamadanishiki enhanced those grain qualities through “Smart Agriculture System” by Hiroshi Hashizume, Hidemi Kitano, Hiroko Mizuno, Akiko Abe, Shih-Nan Hsiao, Genki Yuasa, Satoe Tohno, Hiromasa Tanaka, Shogo Matsumoto, Hitoshi Sakakibara, Eisuke Kita, Yoji Hirosue, Masayoshi Maeshima, Masaaki Mizuno, Masaru Hori

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On FSUM model and applications by Dang Huu Chung

“…In this paper a 3D model (FSUM) on tidal flows with sediment transport and bed morphology process taking into account the temperature-salinity exchange in estuaries and coastal zones is introduced in more detail. …”
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Data Compression with a Time Limit by Bruno Carpentieri

“…In this paper, we explore a framework to identify an optimal choice of compression algorithms that enables the best allocation of computing resources in a large-scale data storage environment: our goal is to maximize the efficiency of data compression given a time limit that must be observed by the compression process. …”
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A Method for Mining GOOSE Protocol Parsing Vulnerabilities Based on Fuzzing by Linbin LIU, Quanqiang MIAO, June LI

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FINITE ELEMENT MODELING OF THIN CIRCULAR SANDWICH PLATES DEFLECTION by K. S. Kurachka

“…The analytical expressions for computing local stiffness matrices are found, which can significantly speed up the process of forming the global stiffness matrix and increase the accuracy of calculations. …”
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Enhancing UAS-Based Multispectral Semantic Segmentation Through Feature Engineering by Elena Vollmer, Mishal Benz, James Kahn, Leon Klug, Rebekka Volk, Frank Schultmann, Markus Gotz

“…This article investigates how feature engineering (FE), the process of adapting raw data to serve as DL training data, can impact performance when transferring prevalent model architectures to combined red, green, blue (RGB) thermal imagery. …”
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Machine Learning Models for Carbonation Depth Prediction in Reinforced Concrete Structures: A Comparative Study by Rafael Aredes Couto, Igor Augusto Guimarães Campos, Elvys Dias Reis, Daniel Hasan Dalip, Flávia Spitale Jacques Poggiali, Péter Ludvig

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Optimized disease prediction in healthcare systems using HDBN and CAEN framework by G. Prabaharan, S.M. Udhaya Sankar, V. Anusuya, K. Jaya Deepthi, Rayappan Lotus, R. Sugumar

“…Classification and segmentation play a pivotal role in transforming decision-making processes in healthcare, IoT, and edge computing. However, existing methodologies often struggle with accuracy, precision, and specificity when applied to large, heterogeneous datasets, particularly in minimizing false positives and negatives. …”
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Recent advances in machine learning applications for MXene materials: Design, synthesis, characterization, and commercialization for energy and environmental applications by Sodiq Abiodun Kareem, Makinde Akindeji Ibrahim, Justus Uchenna Anaele, Olajesu Favor Olanrewaju, Emmanuel Omosegunfunmi Aikulola, Michael Oluwatosin Bodunrin

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Decomposing the effect of normal aging and Alzheimer’s disease in brain morphological changes via learned aging templates by Jingru Fu, Daniel Ferreira, Örjan Smedby, Rodrigo Moreno

“…These changes are the combination of two major biological processes: normal aging and AD pathology. Investigating normal aging and residual morphological changes separately can increase our understanding of the disease. …”
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