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#1Yuhong Wang (Sichuan University)H-Index: 1
#2Xu Zhou (Sichuan University)
Last. Qing Wang
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Based on a Double Deep-Q Network with deep ResNet (DDQN-ResNet), this paper proposes a novel method for transmission network expansion planning (TNEP). Since TNEP is a large scale and mixed-integer linear programming (MILP) problem, as the transmission network scale and the optimal constraints increase, the numerical calculation and heuristic learning-based methods suffer from heavy computational complexities in calculation and training. Besides, due to the black box characteristic, the solution...
#1Quancheng Li (NPU: Northwestern Polytechnical University)H-Index: 1
#2Yonghua Fan (NPU: Northwestern Polytechnical University)H-Index: 1
Last. Jie Yan (NPU: Northwestern Polytechnical University)H-Index: 3
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Covariance analysis describing function technique is a conventional method to solve the performance analysis of the nonlinear missile guidance system. Aiming at the faultiness of covariance analysis describing function technique and its improved method, this paper proposes a new method to solve the mean and covariance transfer issue by using the high-degree spherical-radial cubature rule. In terms of simulation models, the nonlinear missile guidance system contains the saturation link to limit t...
#1Yudong Zhang (University of Leicester)H-Index: 75
#2Zhengchao Dong (Columbia University)H-Index: 28
Last. Shuihua Wang (Lboro: Loughborough University)H-Index: 63
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The accelerating power of deep learning in diagnosing a disease and analyzing medical data will empower physicians and speed up decision-making in clinical environments. Applications of modern medical instruments and digitalization of medical care have generated large amounts of biomedical information in recent years. These pose challenges, demands, and opportunities for new AI methods and computational models for efficient data processing, analysis, and modeling with the generated data that are...
#1Niranjan RajH-Index: 2
Last. Montree KumngernH-Index: 17
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An emulator circuit of Memristor, Memcapacitor, and Meminductor commonly termed as mem-elements has been demonstrated in this article. The circuit has been realized using the technique of current mode, which provides better performance over voltage mode counterparts. The current mode analog building blocks, along with a few passive components, have been used in the presented circuit implementation. The fingerprint characteristics have been observed in both simulation and experimental results, va...
#1Federico Chiariotti (AAU: Aalborg University)H-Index: 8
#2Andrea Zanella (UNIPD: University of Padua)H-Index: 31
Last. Holger Claussen (Tyndall National Institute)H-Index: 1
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The new possibilities offered by 5G and beyond networks have led to a change in the focus of congestion control from capacity maximization for web browsing and file transfer to latency-sensitive interactive and real-time services, and consequently to a renaissance of research on the subject, whose most well-known result is Google’s Bottleneck Bandwidth and Round-trip propagation time (BBR) algorithm. BBR’s promise is to operate at the optimal working point of a connection, with the minimum Round...
#1Linhan Xi (Beijing University of Posts and Telecommunications)
#2Ying Wang (Beijing University of Posts and Telecommunications)H-Index: 20
Last. Yuanbin Chen (Beijing University of Posts and Telecommunications)H-Index: 3
view all 6 authors...
Resource allocation has a direct and profound impact on the performance of resource-limited smart grids with diversified services that need to be timely processed. In this paper, we investigate a joint communication, computing, and caching resource allocation problem with distinct delay requirement of services in smart grids. This paper aims to optimize the long-term system utility based on reward and loss function. Considering the unknown dynamic environment as well as the huge state and action...
#1Sharon Macias-Velasquez (UABC: Autonomous University of Baja California)H-Index: 2
#2Yolanda Baez-Lopez (UABC: Autonomous University of Baja California)H-Index: 4
view all 7 authors...
The purpose of the this research work was to evaluate the impact of social support (through its two dimensions: co-worker support and supervisor support) on the reduction of the burnout syndrome (considering its three dimensions: emotional exhaustion, professional efficacy, and cynicism) from two proposed models that show clear differences. Social support was assessed using the Job Content Questionnaire instrument, and the burnout syndrome was measured through the Maslach Burnout Inventory -Gene...
#1Ron Korine (BGU: Ben-Gurion University of the Negev)
#2Danny Hendler (BGU: Ben-Gurion University of the Negev)H-Index: 22
Numerous metamorphic and polymorphic malicious variants are generated automatically on a daily basis. In order to do that, malware vendors employ mutation engines that transform the code of a malicious program while retaining its functionality, aiming to evade signature-based detection. These automatic processes have greatly increased the number of malware variants, deeming their fully-manual analysis impossible. Malware classification is the task of determining to which family a new malicious v...
#1Bin Wang (Xi'an University of Science and Technology)H-Index: 3
#2Lu Ren (Xi'an University of Science and Technology)
Last. Xiaofan Wang (Xi'an University of Science and Technology)
view all 7 authors...
Aiming at the low efficiency of differential evolution in solving large-scale optimization problems, this paper proposes an adaptive mechanism with cooperative coevolution and covariance for differential evolution (A-CC/COV-DE). Since the correlation between the functional variables of the problem at first is unknown, it adaptively chooses the appropriate evolutionary strategy according to the separability of function variables. For separable functions, cooperative coevolution is adopted. After ...
#1Jingling ChengH-Index: 1
Last. Guozhu ChenH-Index: 2
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Top fields of study
Distributed computing
Pattern recognition
Computer network
Computer science
Feature extraction
Control theory