Epileptic seizures, a prevalent neurological condition, necessitate precise and prompt identification for optimal care. Nevertheless, the intricate characteristics of electroencephalography (EEG) signals, noise, and t...
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We prove two theorems of Paley and Wiener in the slice regular setting. As an application, we can compute the reproducing kernel for the slice regular Paley-Wiener space, and obtain a related sampling theorem. Copyrig...
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The rapid development and widespread adoption of Internet technology have significantly increased Internet traffic,highlighting the growing importance of network *** Detection Systems(IDS)are essential for safeguardin...
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The rapid development and widespread adoption of Internet technology have significantly increased Internet traffic,highlighting the growing importance of network *** Detection Systems(IDS)are essential for safeguarding network *** address the low accuracy of existing intrusion detection models in identifying network attacks,this paper proposes an intrusion detection method based on the fusion of Spatial Attention mechanism and Residual Neural Network(SA-ResNet).Utilizing residual connections can effectively capture local features in the data;by introducing a spatial attention mechanism,the global dependency relationships of intrusion features can be extracted,enhancing the intrusion recognition model’s focus on the global features of intrusions,and effectively improving the accuracy of intrusion *** proposed model in this paper was experimentally verified on theNSL-KDD *** experimental results showthat the intrusion recognition accuracy of the intrusion detection method based on SA-ResNet has reached 99.86%,and its overall accuracy is 0.41% higher than that of traditional Convolutional Neural Network(CNN)models.
Segmentation of brain tumors aids in diagnosing the disease early, planning treatment, and monitoring its progression in medical image analysis. Automation is necessary to eliminate the time and variability associated...
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Porcelain, as a significant cultural heritage, embodies the wisdom of human civilization. However, existing anti-counterfeiting and authentication technologies for porcelain are often unreliable and costly. This paper...
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The rapid development of short video platforms poses new challenges for traditional recommendation *** systems typically depend on two types of user behavior feedback to construct user interest profiles:explicit feedb...
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The rapid development of short video platforms poses new challenges for traditional recommendation *** systems typically depend on two types of user behavior feedback to construct user interest profiles:explicit feedback(interactive behavior),which significantly influences users’short-term interests,and implicit feedback(viewing time),which substantially affects their long-term ***,the previous model fails to distinguish between these two feedback methods,leading it to predict only the overall preferences of users based on extensive historical behavior ***,it cannot differentiate between users’long-term and shortterm interests,resulting in low accuracy in describing users’interest states and predicting the evolution of their *** paper introduces a video recommendationmodel calledCAT-MFRec(CrossAttention Transformer-Mixed Feedback Recommendation)designed to differentiate between explicit and implicit user feedback within the DIEN(Deep Interest Evolution Network)*** study emphasizes the separate learning of the two types of behavioral feedback,effectively integrating them through the cross-attention ***,it leverages the long sequence dependence capabilities of Transformer technology to accurately construct user interest profiles and predict the evolution of user *** results indicate that CAT-MF Rec significantly outperforms existing recommendation methods across various performance *** advancement offers new theoretical and practical insights for the development of video recommendations,particularly in addressing complex and dynamic user behavior patterns.
In copy-move forgery detection, most relevant studies concern locating the copy-move areas without the distinction of source and target regions. This paper proposes an end-to-end network, DSTNet, to identify the sourc...
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In this article, a novel method is proposed to facilitate the design of compact, low-profile, pattern reconfigurable antennas with fixed or switchable circular polarization (CP) for Internet of Vehicles (IoV) applicat...
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Grid-connected inverters play a pivotal role in integrating renewable energy sources into modern power systems. However, the presence of unbalanced grid conditions poses significant challenges to the stable operation ...
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The replacement of petroleum-based fuels with alternative fuels derived from renewable resources remains a critical aspect of the development of combustion engines, both in the automotive sector and the energy industr...
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The replacement of petroleum-based fuels with alternative fuels derived from renewable resources remains a critical aspect of the development of combustion engines, both in the automotive sector and the energy industry. This study presents a review of the literature on the combustion, performance, and emissions of compression ignition (CI) engines using a blend-mode technology, where the co-combustion of various types of biodiesel with six alcohol-based fuels—methanol, ethanol, propanol, butanol, pentanol, and octanol was examined. The research focused on engines operating at a constant rotational speed and under maximum or near-maximum load conditions. The analysis explored the impact of alcohol additives, expressed as relative percentage changes in selected engine performance parameters compared to a reference fuel. The reference fuel varied in each case, depending on the studies referenced in the manuscript. This literature review is among the few that comprehensively presents the potential of using blends of various renewable fuels in diesel engines within a single study. The review covers several types of biodiesel, six types of alcohols, and a range of engine operational parameters, including ignition delay, combustion duration, maximum in-cylinder pressure, maximum heat release rate, thermal efficiency, specific fuel consumption, coefficient of variation of indicated mean effective pressure, and emissions of NOx, HC, CO, and Soot. The research findings indicate that the addition of alcohol to biodiesel in the CI engine cylinder increases ignition delay, shortens combustion duration, raises the maximum heat release rate, and causes an increase in cycle-to-cycle variability of engine operation. The impact of alcohol on engine efficiency is inconclusive and depends on the specifics of the study and engine type. For alcohol content up to 30 %, the addition of alcohol increases NOx emissions, while above 30 %, it leads to a reduction in NOx emissions. Partial subs
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