Fault Detection of the Power System Based on the Chaotic Neural Network and Wavelet Transform by Zuoxun Wang, Liqiang Xu

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Comprehensive influence evaluation algorithm of complex network nodes based on global-local attributes by Weijin JIANG, Ying YANG, Tiantian LUO, Wenying ZHOU, En LI, Xiaowei ZHANG

“…Mining key nodes in the network plays a great role in the evolution of information dissemination, virus marketing, and public opinion control, etc.The identification of key nodes can effectively help to control network attacks, detect financial risks, suppress the spread of viruses diseases and rumors, and prevent terrorist attacks.In order to break through the limitations of existing node influence assessment methods with high algorithmic complexity and low accuracy, as well as one-sided perspective of assessing the intrinsic action mechanism of evaluation metrics, a comprehensive influence (CI) assessment algorithm for identifying critical nodes was proposed, which simultaneously processes the local and global topology of the network to perform node importance.The global attributes in the algorithm consider the information entropy of neighboring nodes and the shortest distance nodes between nodes to represent the local attributes of nodes, and the weight ratio of global and local attributes was adjusted by a parameter.By using the SIR (susceptible infected recovered) model and Kendall correlation coefficient as evaluation criteria, experimental analysis on real-world networks of different scales shows that the proposed method is superior to some well-known heuristic algorithms such as betweenness centrality (BC), closeness centrality (CC), gravity index centrality(GIC), and global structure model (GSM), and has better ranking monotonicity, more stable metric results, more adaptable to network topologies, and is applicable to most of the real networks with different structure of real networks.…”
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Improved Low-Complexity, Pilot-Based Channel Estimation for Large Intelligent Surface Systems by Ali Gashtasbi, Mário Marques da Silva, Rui Dinis

“…In Large Intelligent Surface (LIS) systems, achieving accurate channel estimation is essential for enhancing communication quality and system efficiency. The main focus of this study is on using the Least Squares (LS) method to estimate pilot-based channels. …”
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Genomic prediction in Persian walnut: Optimization levers according to genetic architecture of complex traits by Anthony Bernard, Juliette Bénéjam, Morgane Roth, Fabrice Lheureux, Elisabeth Dirlewanger

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Dynamic Topology Evolution and Multi-Objective Routing Optimization for Efficient VANET Communication by Hao Wang

“…Furthermore, the implementation of Dijkstra’s algorithm enables efficient path selection with low computational complexity. …”
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Cyclopentadienyl Ruthenium(II) Complex-Mediated Oxidation of Benzylic and Allylic Alcohols to Corresponding Aldehydes by Ching-Yuh Chern, Ching-Chun Tseng, Rong-Hong Hsiao, Fung Fuh Wong, Yueh-Hsiung Kuo

“…This work reports an efficient method for the oxidation reaction of aliphatic, aromatic allylic, and benzylic alcohols into aldehydes catalyzed by the cyclopentadienyl ruthenium(II) complex (RuCpCl(PPh3)2) with bubbled O2. …”
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Mereological approach to higher-order structure in complex systems: From macro to micro with Möbius by Abel Jansma

“…Relating macroscopic observables to microscopic interactions is a central challenge in the study of complex systems. While current approaches often focus on pairwise interactions, a complete understanding requires going beyond these to capture the full range of possible interactions. …”
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Complex Path Planning for Manipulators Based on an Improved NSGA-III Algorithm With Hopfield Network by Xiaoxiang Sun, Jue Wang, Wei Wang

“…In various production applications across industries such as manufacturing and agriculture, manipulators often face complex trajectories composed of numerous locally discrete paths during movement. …”
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Research on Virtual Color Restoration of Complex Building System Based on Discrete Wavelet Transform by Chunqiao Song, Xutong Wu

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Complex Approach to the Conversion of Existing Refrigeration Systems to A2L Group Refrigerants by Serhii M. Molskyi, Oleksandr S. Molskyi, Anna L. Vorontsova

βTrCP facilitates MRN complex localization on chromatin to enhance DNA repair by Alejandro Belmonte-Fernández, Joaquín Herrero-Ruíz, Carmen Sáez, Miguel Á. Japón, Mar Mora-Santos, Francisco Romero

“…Upon detecting DNA breaks, this complex triggers a cascade of signaling events that regulate both cell cycle arrest and DNA repair. …”
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Insights into the Silver Camphorimine Complexes Interactions with DNA Based on Cyclic Voltammetry and Docking Studies by Joana P. Costa, Gonçalo C. Justino, Fernanda Marques, M. Fernanda N. N. Carvalho

“…The formation of a light grey product adherent to the Pt electrode in the case of {Ag(OH)} and {Ag₂(µ-O)} complexes further corroborates the interaction of the complexes with CT-DNA detected by CV. …”
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Analysis of Algorithms for Detecting Users’ Behavioral Models based on Sessions Data by Vitaly Zabiniako, Toms Rožkalns, Erika Nazaruka, Jurijs Kornienko

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Construction and validation of a test for the assessment of psychological complexes based on Jungian analytical psychology by Mohammad Khorsandi, Fatemeh Golshani, Fariba Hassani, Roya Koochak Entezar

“…Also, the correlation coefficient of the complex questionnaire with the list of positive and negative psychological emotions showed its desired criterion (simultaneous) validity. …”
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The complex world of eutectic solvents: Guidelines for a correct characterization and use in sample preparation by Chiara Dal Bosco, Massimo Giuseppe De Cesaris, Lorenzo Antonelli, Nina Felli, Alessandra Gentili

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A Ship Emission Monitoring Option for Fuel Sulphur Content Measurement in Complex Environments by Fan Zhou, Xiaojia Lin, Liwei Hou

“…Limiting the fuel sulphur content (FSC) of ships can significantly reduce the harm caused by ship emissions, and analyzing ship exhaust gas to estimate FSC is a rapid, efficient, and low-cost monitoring method. To solve the difficulty in measuring FSC using sniffer equipment in a complex port area, a ship emission monitoring option for FSC measurement in complex environments is proposed here. …”
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Machine Learning Techniques for Enhanced Intrusion Detection in IoT Security by Hanadi Hakami, Muhammad Faheem, Majid Bashir Ahmad

“…This research introduces a new model that leverages machine learning (ML) and deep learning (DL) to enhance detection effectiveness and ensure reliability. The approach optimizes data preprocessing by integrating SMOTE for effective data balancing and Pearson’s Correlation Coefficient (PCC) for feature selection. …”
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Robust JND-Guided Video Watermarking via Adaptive Block Selection and Temporal Redundancy by Antonio Cedillo-Hernandez, Lydia Velazquez-Garcia, Manuel Cedillo-Hernandez, Ismael Dominguez-Jimenez, David Conchouso-Gonzalez

“…Watermark bits are embedded selectively in blocks with high perceptual masking using a QIM strategy, and the corresponding DCT coefficients are estimated directly from the spatial domain to reduce complexity. …”
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An improved Red-billed blue magpie feature selection algorithm for medical data processing. by Chenyi Zhu, Zhiyi Wang, Yinan Peng, Wenjun Xiao

“…Experiments demonstrate that IRBMO exhibits high efficiency, generality and excellent generalization ability in feature selection tasks. …”
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An Opposition-Based Great Wall Construction Metaheuristic Algorithm With Gaussian Mutation for Feature Selection by Farouq Zitouni, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed, Saad Harous

“…Its complexity arises from the vast search space, necessitating the application of metaheuristic methods to efficiently identify optimal feature subsets. …”
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