Companies need to be aware how Industry 4.0 technologies fit to their working and effect their business processes, what modifications are required before implementing them. Digital maturity and readiness models have b...
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In this study,a Neural Network-Enhanced Gene Modification Optimization Technique was introduced for multiobjective energy resource *** the need for sustainable energy solutions,this technique integrated neural network...
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In this study,a Neural Network-Enhanced Gene Modification Optimization Technique was introduced for multiobjective energy resource *** the need for sustainable energy solutions,this technique integrated neural network models as fitness functions,representing an advancement in artificial intelligencedriven *** collected in the European Union covered greenhouse gas emissions,energy consumption by sources,energy imports,and Levelized Cost of *** different configurations of energy consumption by sources lead to varying greenhouse gas emissions,costs,and imports,neural network prediction models were used to project the effect of new energy combinations on these *** projections were then fed into the gene modification optimization process to identify optimal *** 28 generations,simulations demonstrated a 46 percent reduction in energy costs and a 9 percent decrease in *** bias and subjectivity were mitigated by automating parameter settings,enhancing the objectivity of *** against traditional methods,such as Euclidean Distance,validated the superior performance of this ***,the technique’s ability to visualize chromosomes and gene values offered clarity in optimization *** results suggest significant advancements in the energy sector and potential applications in other industries,contributing to the global effort to combat climate change.
On the transmission line,the invasion of foreign objects such as kites,plastic bags,and balloons and the damage to electronic components are common transmission line *** these faults is of great significance for the s...
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On the transmission line,the invasion of foreign objects such as kites,plastic bags,and balloons and the damage to electronic components are common transmission line *** these faults is of great significance for the safe operation of power ***,a YOLOv5 target detection method based on a deep convolution neural network is *** this paper,Mobilenetv2 is used to replace Cross Stage Partial(CSP)-Darknet53 as the *** structure uses depth-wise separable convolution to reduce the amount of calculation and parameters;improve the detection *** the same time,to compensate for the detection accuracy,the Squeeze-and-Excitation Networks(SENet)attention model is fused into the algorithm framework and a new detection scale suitable for small targets is added to improve the significance of the fault target area in the *** pictures of foreign matters such as kites,plastic bags,balloons,and insulator defects of transmission lines,and sort theminto a data *** experimental results on datasets show that themean Accuracy Precision(mAP)and recall rate of the algorithm can reach 92.1%and 92.4%,*** the same time,by comparison,the detection accuracy of the proposed algorithm is higher than that of other methods.
作者:
Sudár, AnnaCorvinus Institute for Advanced Studies
Institute of Data Analytics and Information Systems Corvinus University of Budapest Budapest Hungary Hungarian Research Network HUN-REN Budapest Hungary
The study contributes to the field of Cognitive Infocommunications (CogInfoCom) by highlighting the importance of interface design in managing cognitive load and enhancing user experience. It evaluates task difficulty...
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This paper examines the trends in the adoption of VR technologies for online conferences, comparing the use of simple 2D online meeting software with more sophisticated VR systems. The authors aim to evaluate the effe...
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This study explores how previous experience and navigational experience relate to the sense of presence in desktop virtual reality environments. The research aims to explore the correlation between user familiarity wi...
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This paper investigates educational virtual and augmented realities within the Cognitive Infocommunications (CogInfoCom) and Cognitive Aspects of Virtual Reality (cVR) conference series. By analyzing trends from 2016 ...
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There are numerous customer service articles on chatbots, but only a few studies deal with their acceptability and the cognitive components of personalization and context have been neglected so far. Due to the increas...
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Cognitive systems have become widespread in various computer-based applications, from assistants to robotic systems. Although such systems are useful even in their current version, there is a growing need to incorpora...
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Integrating virtual reality with Building information Modeling (BIM) has been recognized for its numerous benefits in enhancing visualization, spatial recognition, distance and real-time collaboration, and efficiency ...
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