Eletheft, as a core issue of non-technical losses, has become more complex with the emergence of new network attack methods. Studies indicate that machine learning models relying solely on raw data have limitations wh...
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Due to the current development of networked systems and the emergence of global cyber threats, efficient and fast NIDS are required. The suggested article aims to analyse new and improved AI and Machine Learning (ML) ...
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Corporate interlock networks have received significant attention, especially in developed economies such as the USA, Japan, Germany, etc. However, their significance in developing Asian countries, where corporate gove...
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ISBN:
(纸本)9783031785535;9783031785542
Corporate interlock networks have received significant attention, especially in developed economies such as the USA, Japan, Germany, etc. However, their significance in developing Asian countries, where corporate governance regulations are relatively lax, remains crucial. Especially concerning India, its intricate history and diverse heritage contribute to a distinctive and intricate corporate environment. While numerous studies have attempted to address this, they often suffer from limited data scope, typically focusing on a few hundred firms. In this study, we analyze a bipartite network comprising 4601 Indian firms and 25569 directors. Our analysis explores the cohesion among key actors and fragmentation of the market across sectors. We observed that companies with large board sizes tend to form an elite structure, maintaining dense connections among themselves. In contrast, we did not observe such an elite structure among the directors. The study also reveals distinct characteristics of the manufacturing, agriculture, and power sectors within this intricate network.
The management of plastic waste in our ecosystem represents a significant environmental issue, necessitating effective sorting and categorization to facilitate efficient recycling practices. This study introduces a me...
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Discovering vulnerabilities in network service is of great significance. Currently, coverage-guided fuzzing (CGF) is widely regarded as the most effective method. However, the efficiency of CGF depends on the quality ...
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Recently, the image super-resolution (SR) has made remarkable progress. However, due to the proliferation of resource-constrained scenarios, the computational-intensive SR technology is limited in portable devices. Th...
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In the field of Video Super-Resolution (VSR), recurrent structures are frequently used in the designed network architectures, yet they face significant challenges in effective information transmission and accurate ali...
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ISBN:
(纸本)9789819785070;9789819785087
In the field of Video Super-Resolution (VSR), recurrent structures are frequently used in the designed network architectures, yet they face significant challenges in effective information transmission and accurate alignment. To address this issue, this study introduces a concise and efficient network, named Enhanced Spatial Adaptive Fusion network (ESAFN), to enhance information flow and accuracy in VSR. The core strategy of ESAFN involves a Coupled Propagation Spatially Adaptive Module (CPSAM) and an Implicit Alignment Mechanism (IAM), innovatively restructuring the classical BasicVSR architecture. The proposed method initially promotes the effective integration of forward and backward information, then it dynamically selects the most repr esentative features across multiple scales, and further explores contextual information through Spatially Mixed Convolution (SMC) technology. With the implicit alignment strategy, our method significantly enhances the capability to restore high-frequency details in super-resolved videos, markedly surpassing current advanced technologies.
In this paper, we study the joint optimization problem of computation path selection and workload allocation for in-network computing at the edge. The existing works, which only consider the end-to-end latency, ignore...
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Under the trend of global business operation, the role of financial institutions in supply chain finance is no longer limited to providing financing service for regional customers, but can be extended to cross-regiona...
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Brain-computer interface(BCI) is a method of extracting EEG signals by specific means and decoding them using signal processing algorithms to help people with motor disabilities to interact with the outside world thro...
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