Visual Emotion Analysis (VEA) seeks to anticipate individuals' emotional reactions to visual stimuli. The subjective perception of visual emotion is an integrated impact of the appearance, scene, and objects prese...
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Efficiently and quickly identifying malware in encrypted network traffic is a major challenge. This research presents and evaluates a novel approach for sampling encrypted network traffic, called ENS-RFMC. Initially, ...
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Edge computing, which offloads data processing and analysis tasks to the edge of network, has gradually become a critical technology for handling large-scale data and providing low-latency services. Container technolo...
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With the development of Internet technology, the concept of intelligent fire protection has been proposed. To achieve intelligent fire protection, it is necessary to conduct accurate research and real-time monitoring ...
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The detection of unpredicted events or rare patterns in traffic data plays an important role in intelligence traffic management, that offers alerts of incidents. To address the problem of less accuracy in industrial n...
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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.
Triangle counting is a critical problem in graph theory and network analysis, with widespread applications in social network analysis, networkscience, and bioinformatics. Dynamic graphs are extensively utilized in va...
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The rapid development of electronic information and communication technology has led to the widespread use of a variety of marine monitoring technologies, including aerospace remote sensors, automatic buoys, multi-bea...
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With the rapid development of urbanization, traffic congestion and road safety problems have become increasingly prominent. This paper proposes a solution based on improving the efficiency of urban road traffic, that ...
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The problem of assessing the level of the design work complexity in the IT industry is of vital importance. This is due to the fact that design in this industry involves the consolidation of a wide variety of knowledg...
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ISBN:
(纸本)9783031807749;9783031807756
The problem of assessing the level of the design work complexity in the IT industry is of vital importance. This is due to the fact that design in this industry involves the consolidation of a wide variety of knowledge sectors: programming, network technologies, engineering infrastructure, etc. From such diversity follows the absence of generally accepted methods for quantitative assessment of the complexity and volume of design work based on the most general requirements for the designed IT system. In this research, a method for quantitative indicative assessment of the complexity of one of the main phases of IT system design is proposed: architectural planning. Using a seven-factor structure of fuzzy linguistic variables, a fuzzy possibility model was developed based on expert knowledge and experience. This model allows for quantitative assessment and forecasting of the complexity of tasks in the architecture of information technology systems.
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