Self-Stabilization of Grid-Connected Inverters by Means of an Impedance-Based Adaptive Controller by Joel Filipe Guerreiro, Tiago Davi Curi Busarello, Hildo Guillardi, Igor Alves Maronni, Jose De A. Olimpio Filho, Helmo K. Morales Paredes, Jose A. Pomilio

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State of energy estimation of lithium-ion battery based on long short-term memory optimization Adaptive Cubature Kalman filter. by Enguang Hou, Heyan Song, Zhen Wang, Jingshu Zhu, Jiarui Tang, Gang Shen, Jiangang Wang

“…The safety of LIBs, the development of artificial intelligence, and the increase in computing power have provided possibilities for big data computing. …”
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Regularized Least Square Regression with Unbounded and Dependent Sampling by Xiaorong Chu, Hongwei Sun

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Evaluating language model embeddings for Parkinson’s disease cohort harmonization using a novel manually curated variable mapping schema by Yasamin Salimi, Tim Adams, Mehmet Can Ay, Helena Balabin, Marc Jacobs, Martin Hofmann-Apitius

“…Abstract Data Harmonization is an important yet time-consuming process. With the recent popularity of applications using Language Models (LMs) due to their high capabilities in text understanding, we investigated whether LMs could facilitate data harmonization for clinical use cases. …”
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Knowledge Error Detection via Textual and Structural Joint Learning by Xiaoyu Wang, Xiang Ao, Fuwei Zhang, Zhao Zhang, Qing He

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Complexity of the Analysis of Financial Cloud Based on Fuzzy Theory in the Wisdom of Sustainable Urban Development by Yi Chen, Dong Yao, Yinying Duan

“…First, design a smart city model to analyze the potential security issues of the financial cloud computing system. The security level model of cloud computing establishes an index system for evaluation objects based on the level of the security model and uses expert evaluation methods to build models for all levels of the risk profile through the analysis-level process and establish a fuzzy relationship model for each evaluation object value. …”
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High-Volume Battery Recycling: Technical Review of Challenges and Future Directions by Sheikh Rehman, Maher Al-Greer, Adam S. Burn, Michael Short, Xinjun Cui

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Performance of Ferroelectric Materials in the Construction of Smart Manufacturing for the New Infrastructure of Smart Cities by Minggui Zhou, Gongxing Yan

“…Make full use of the advanced form of urban informatization based on the next generation innovation of knowledge society in all walks of life in the city. Cloud computing is a new network application concept. The core concept of cloud computing is to take the Internet as the center, and provide fast and secure cloud computing services and data storage on the website, so that everyone who uses the Internet can use the huge computing resources and data center on the network. …”
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Monte Carlo Algorithm For Matrices in Solving Systems of Linear Equations, Determinants, Inverse, Eigen Values, and Eigenvectors. by Bamwine, Delik

“…Linear algebra operations play an important role in scientific computing and data analysis. With increasing data volume and complexity in the "Big Data" era, linear algebra operations are important tools to process massive datasets. …”
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Measuring Online Battery AC Resistance Using a DC-DC Converter With Time and Frequency Hybrid Method by Seong-Jong Kim, Hwa-Pyeong Park, Tae-Hwan Jin, In-Jun Lee

“…However, the high FFT resolution in a Digital Signal Processor (DSP) requires a long computation time and Random-Access Memory (RAM) to process large amounts of data. …”
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An interpretable deep learning framework for medical diagnosis using spectrogram analysis by Shagufta Henna, Juan Miguel Lopez Alcaraz, Upaka Rathnayake, Mohamed Amjath

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Real-time multi-level trust-based secure routing for improved QoS in WSN using blockchain by S. Ramachandra, M. Baskar

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Mitigating cloud vulnerabilities using a blockchain platform by Dina Zoughbi, Kavitha Venkatachalam

“…The use of explainable AI techniques adds transparency to the decision-making process, increasing user trust. Hence, the advanced neural networks, coupled with cloud and edge computing, can significantly optimize CBIR systems, making them more robust, scalable, and applicable to a wide range of industries such as healthcare, security, and e-commerce.…”
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A novel multi-agent dynamic portfolio optimization learning system based on hierarchical deep reinforcement learning by Ruoyu Sun, Yue Xi, Angelos Stefanidis, Zhengyong Jiang, Jionglong Su

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Robust Single Sample Per Person Face Recognition with Probabilistic Illumination Enhancement by Muhammad Tariq Siddique, Ibrahim Venkat, Shah Hasan Shah Newaz, Sharul Tajuddin

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Using neuroevolution for designing soft medical devices by Hugo Alcaraz-Herrera, Michail-Antisthenis Tsompanas, Igor Balaz, Andrew Adamatzky

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Discussion on the common sense of the Internet of things by Yu SUN

“…The development of Internet of things (IoT) in China is in the second decade.First of all,the outcome of the IoT was reviewed.The industry formation and system structure of IoT were introduced.Then,the development process,trends and key points of the next generation of IoT were summarized in the aspect of the service platform,sensor industry,access links and fusion with technologies such as cloud computing,edge computing,big data,identity resolution,blockchain,satellite navigation system,5G and so on.Finally,the problems and possible ideas of the development of IoT in China were put forward in the fields of the application positioning,theoretical research,standard-setting and security.Hope to provide reference for colleagues to understand the IoT.…”
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Frequency modulation on magnons in synthetic dimensions by Meng Xu, Chensong Hua, Yan Chen, Weichao Yu

“…Abstract Magnons are promising candidates for next-generation computing architectures, offering the ability to manipulate their amplitude and phase for information encoding. …”
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Securable networked scheme with face authentication by Da‐You Huang, Chun‐Liang Lin, Yang‐Yi Chen

“…Wide applications are associated with a large amount of data transmission so that edge computing is inspired accordingly. In this research task, the major goal of edge computing is to handover a part of the computing work to the terminal equipment; the server only needs to process the results of final return. …”
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Deep learning in the fog by Andrzej Sobecki, Julian Szymański, David Gil, Higinio Mora

“…This way, we pinpoint the odds and risks of artificial intelligence fog computing and help in the process of selecting suitable architecture and components that will satisfy all requirements defined by the complex Internet of Things systems.…”
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