15 papers · ranked by Valyu relevance
Tomokaze Shiratori, Yuichi Takano, Jianchao Bai
Sparse estimation of a Gaussian graphical model (GGM) is an important technique for making relationships between observed variables more interpretable. Various methods have been proposed for sparse GGM estimation, including the graphical lasso that uses the ℓ1 norm regularization term, and other methods that use…
Lifeng Yin, Yingfeng Wang, Huayue Chen, Wu Deng + 1 more
'Rebeca P. Díaz Redondo'] Density peak clustering is the latest classic density-based clustering algorithm, which can directly find the cluster center without iteration. The algorithm needs to determine a unique parameter, so the selection of parameters is particularly important. However, for multi-density data, when…
Huajuan Huang, Hao Wu, Xiuxi Wei, Yongquan Zhou + 1 more
Clustering is an unsupervised learning method. Density Peak Clustering (DPC), a density-based algorithm, intuitively determines the number of clusters and identifies clusters of arbitrary shapes. However, it cannot function effectively without the correct parameter, referred to as the cutoff distance (dc). The…
Alla Eddine Boukhdenna, Hamza Afghoul, Djallal Eddine Zabia, Feriel Abdelmalek + 3 more
The nonlinear and intermittent nature of Photovoltaic (PV) systems introduces dynamic disturbances that negatively impact the stability of the DC bus voltage (V*dc) between PV sources and shunt active power filters (SAPFs). These fluctuations pose significant challenges to the performance of SAPFs, especially when the…
Haifeng Li
In recent years, with the rapid development of the Internet, online social networks have been continuously integrated with traditional interpersonal networks and research on information dissemination in social networks has gradually increased. This article studies and analyzes the multidimensional information network…
Yuanyuan Zhang, Longquan Yong, Yijia Chen, Jintao Yang + 2 more
'Mengnan Zhang' 'Heming Jia'] To address the issues of uneven initial distribution and limited search accuracy with the traditional divergent quantum-inspired differential search (DCS) algorithm, a hybrid multi-strategy variant, termed DQDCS, is proposed. This improved version overcomes these limitations by integrating…
Krishna Saha Purnita, M. Rubaiyat Hossain Mondal, Lisu Yu
Light fidelity (LiFi) uses different forms of orthogonal frequency division multiplexing (OFDM), including DC biased optical OFDM (DCO-OFDM). In DCO-OFDM, the use of a large DC bias causes optical power inefficiency, while a small bias leads to higher clipping noise. Hence, finding an appropriate DC bias level for…
Qiang Gao, Qin-Qin Gao, Zhong-Yang Xiong, Yu-Fang Zhang + 1 more
Clustering analysis is an unsupervised learning method, which has applications across many fields such as pattern recognition, machine learning, information security, and image segmentation. The density-based method, as one of the various clustering algorithms, has achieved good performance. However, it works poor in…
Xinyu Cai, Chaoyong Zhang, Heming Jia, Gang Hu
In real-world applications, many complex problems can be formulated as mathematical optimization challenges, and efficiently solving these problems is critical. Metaheuristic algorithms have proven highly effective in addressing a wide range of engineering issues. The differentiated creative search is a recently…
Tariq, Vishwanath Eswarakrishnan, Adil Hussain, Zhu Wei + 2 more
'Muhammad Uzair' 'Jeongyeup Paek'] Title: Abstract The emerging wireless energy transfer technology enables sensor nodes to maintain perpetual operation. However, maximizing the network performance while preserving short charging delay is a great challenge. In this work, a Wireless Mobile Charger (MC) and a directional…
S. Faazila Fathima, L. Premalatha
Multi-microgrid systems offer a versatile solution to many of the challenges including issues on power glitches, grid flow optimization, stability and protection system malfunction faced by traditional centralized power grids. By enhancing resilience, integrating renewable energy, improving efficiency, and supporting…
Mohamed Abdullah J, Sumathi V
Integrating renewable energy generation with the conventional grid supports reduces carbon emissions in the atmosphere. Despite technical advancements in protection strategies, critical issues concerning renewable integration in microgrid structures require standardized solutions. The essential aspects that need to be…
Yao Guo, Shaorong Wang, Dezhi Chen, Luis Hernández-Callejo
The rapid growth of renewable energy and increasing electricity demand pose challenges to the reliability and flexibility of traditional distribution networks. To address these issues, the construction of AC/DC hybrid distribution networks (AC/DC-HDNs) based on existing AC grids has become a promising solution.…
Salah Beni Hamed, Mouna Ben Hamed, Lassaad Sbita, Mohit Bajaj + 6 more
'Vojtech Blazek' 'Lukas Prokop' 'Stanislav Misak' 'Sherif S. M. Ghoneim' 'Jinghua Guo' 'Jingyao Wang'] This paper highlights a robust optimization and power management algorithm that supervises the energy transfer flow to meet the photovoltaic (PV) electric vehicle demand, even when the traction system is in motion.…
Lihong Han, Kan Yang, Yang Ming, Jianxin Tang + 1 more
The essence of the influence maximization (IM) problem is how to identify the set of seed nodes so that the node numbers ultimately affected in the network reach the maximum under a certain spreading model. In the field of influence maximization research, the investigation of seed nodes identifying algorithms is a hot…