An ultra‐thin switched state active frequency selective surface absorber with wide bandwidth using semi‐analytical method by Z. A. Pandit Jibran, Kumud R. Jha, Satish K. Sharma, Anuj Shukla

“…Using a semi‐analytical method, the NXP#BAP70‐03 PIN diode‐based single polarised unit‐cell of the active FSS absorber is rigorously analysed and its equivalent circuit model is developed. …”
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Research on abnormal power consumption detection method of power big data based on LightGBM model and LSTM model by YANG Zhidong, DING Jianwu, CHEN Guangjiu, KANG Xiaojing, SHENG Meng

“…The advantages of the proposed method are analyzed through experiments. The results show that, compared with traditional detection methods, the proposed method can detect abnormal users quickly and effectively, with a detection accuracy of 98.64%, meanwhile, the abnormal data is effectively classified, and the comprehensive classification accuracy rate is 96.60%, which provides a certain reference for the development of anomaly detection technology.…”
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Fully Decoupled Branch Energy Balancing Control Method for Modular Multilevel Matrix Converter Based on Sequence Circulating Components by Zexin Zhao, Weijiang Chen, Zhichang Yang, Guoliang Zhao, Bin Han, Yunfei Xu, Nianwen Xiang, Shulai Wang

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Minima-YOLO: A Lightweight Identification Method for Lithium Mineral Components Under a Microscope Based on YOLOv8 by Zeyang Qiu, Xueyu Huang, Xiangyu Xu

“…Mineral identification technology is a critical technology in the construction of smart mines. To enable effective deployment and implementation of rapid mineral sorting for valuable ores on edge computing devices, we propose a lightweight identification method for lithium minerals under visible light microscopy based on YOLOv8, named Minima-YOLO. …”
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An anomaly identifying method for metering of standard electricity meters in an automatic verification assembly line based on correlated time-invariant by XING Yu, QU Zemin, SUN Yanling, DONG Xianguang, ZOU Lu, CHEN Mianzhou

“…Under the automated verification mode, the metering performance of standard electricity meter may degrade or even exceed in the long-term operation, while the existing regular manual inspections are offline that cannot detect the abnormal working condition of the standard meter in real time, and there is a risk of credibility losing in the error test results of smart electricity meters. Therefore, based on the correlation between results of regular verification and error test, this paper proposes an anomaly identifying method for standard electricity meters based on correlated time-invariant, in order to check the metering performance of standard electricity meters in real time. …”
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An AI-Based Nested Large–Small Model for Passive Microwave Soil Moisture and Land Surface Temperature Retrieval Method by Mengjie Liang, Kebiao Mao, Jiancheng Shi, Sayed M. Bateni, Fei Meng

“…The rapid advancement of Artificial intelligence (AI) hardware offers new opportunities to overcome the limitations of traditional geophysical parameter retrieval methods. We propose a nested large–small model method that uses AI techniques for the joint iterative retrieval of passive microwave SM and LST. …”
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A statistical method for high-throughput emergence rate calculation for soybean breeding plots based on field phenotypic characteristics by Yan Sun, Mengqi Li, Meiling Liu, Jingyi Zhang, Yingli Cao, Xue Ao

“…Due to the influence of environmental factors, the existing methods have shortcomings, such as low throughput, low efficiency, and insufficient precision. …”
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E-signature and e-services in Albania by Vilma TOMÇO, Edlira GJOLLESHI, Klorenta PASHAJ

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Long-term storage of kimchi cabbage using ozone-plasma and dynamic controlled atmosphere methods: impacts on kimchi quality and fermentation by Ju Young Lim, Jeong Hyeon Lee, Chun Wan Park, Jin Ju Lee, Sung Gi Min

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Re-Crafting Energy-Related Household Routines. The Integration of Design Methods in Behavioural Change Theory to Foster More Sustainable Routines by Giovanni Profeta, Francesca Cellina, Desirée Veschetti, Evelyn Lobsiger-Kägi, Devon Wemyss, Pasquale Granato

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Assessing the Value of Further Investment in R&D Using Mixed Methods: A Case Study of Biosensor-Integrated Arteriovenous Grafts by Samuel Owusu Achiaw, Neil Hawkins, Olivia Wu, John Mercer

“…This study illustrates the utility of a mixed-methods approach in assessing the value of an example novel technology—biosensor-integrated self-reporting arteriovenous grafts (smart AVGs). …”
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Cost-effective model of building construction based on GREENSHIP rating assessment using value engineering and lifecycle cost analysis methods by Sutikno Sutikno, Sarwono Hardjomuljadi, Henny Wiyanto

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Identifying residential and workplace locations from transit smart card data by Yuan Tian, Stephan Winter, Jian Wang

“…This paper proposes a novel method of identifying residential and workplace locations from smart card data. …”
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Tensor-Based Cybersecurity Analysis of Smart Grids Using IT/OT Convergence by Danial Jafarigiv, Keyhan Sheshyekani, Marthe Kassouf

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A GNN-Based False Data Detection Scheme for Smart Grids by Junhong Qiu, Xinxin Zhang, Tao Wang, Huiying Hou, Siyuan Wang, Tiejun Yang

“…Our research proposed a smart grid anomaly detection method on the grounds of STGNNs, which used evolution in the information of several attributes that affected the power network to represent the evolution of the power network, subsequently used STGNNs to obtain the time-space dependencies of nodes in several information networks, and used a cross-domain method to help the anomaly detection of the power network through anomaly information of other related networks. …”
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VSAS: A smart small-angle scattering data processing tool by Shuxin Shi, Shengyi Zhong, Lu Jin, Yifei Tang, Hao Lin

“…VSAS provides a graphical interface which allows visualizing data fitting process to give a smart way to facilitate analysis. Two data processing methods corresponding to the two main functional modes of VSAS are presented, (i) the Guinier and Porod methods, and (ii) the distribution fitting method. …”
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Partially Binarized Deep MUSIC for Multiple Target Angle Estimation Using Wireless Sensor Array Systems by Jongsung Kang, Joonhyeon Jun, Jaehyun Park, Hyungju Kim, Byung Jang Jeong

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Internet of Things and Smart Technologies in Oral Health: Trends, Impacts, and Challenges by Susana J. Calderon, Stephen Mujeye Sr, Melissa I. Calvillo

“…Objective: This study aims to discover the most current trends, impacts, and challenges of using IoT devices and smart technologies in oral health. Method: A modified systematic mapping method was used to generate and answer five research questions. …”
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The Challenges of Implementing Smart City Management in Iran’s Public Transport Sector by sepideh moradi, abdollah motevali gale kalayi, hamed nezami asl sisi, mohammad hosein seifosadat

“…After analyzing the surveys using the Delphi method and using SPSS software, the identified challenges were classified into six basic categories, including: 1- The challenge of the lack of strategic plans and strategies in the field of public transportation, 2- The challenge of economic isolation, 3- The challenge of securing financial resources, 4- The challenge of cultural and managerial knowledge, 5- The challenge of the lack of supportive laws, 6- Security challenges, as challenges for implementing smart city management in the field of public transportation.…”
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Fine-Grained Mapping Between Daily Activity Features in Smart Homes by Yahui Wang, Yaqing Liu

“…For daily activity recognition in smart homes, it is possible to reduce the effort required for labeling by transferring a trained model. …”
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