Accurately predicting the Remaining Useful Life(RUL)of lithium-ion batteries is crucial for battery management *** learning-based methods have been shown to be effective in predicting RUL by leveraging battery capacit...
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Accurately predicting the Remaining Useful Life(RUL)of lithium-ion batteries is crucial for battery management *** learning-based methods have been shown to be effective in predicting RUL by leveraging battery capacity time series ***,the representation learning of features such as long-distance sequence dependencies and mutations in capacity time series still needs to be *** address this challenge,this paper proposes a novel deep learning model,the MLP-Mixer and Mixture of Expert(MMMe)model,for RUL *** MMMe model leverages the Gated Recurrent Unit and Multi-Head Attention mechanism to encode the sequential data of battery capacity to capture the temporal features and a re-zero MLP-Mixer model to capture the high-level ***,we devise an ensemble predictor based on a Mixture-of-Experts(MoE)architecture to generate reliable RUL *** experimental results on public datasets demonstrate that our proposed model significantly outperforms other existing methods,providing more reliable and precise RUL predictions while also accurately tracking the capacity degradation *** code and dataset are available at the website of github.
Nowadays it has become very difficult to tell the legitimacy of news on social media news blogs and online newspaper. Hence there is a need of tools that can check these sources to identify fake news. The automatic de...
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Interest in the IoT and smart cities has been growing as people learn about its potential applications in fields as diverse as healthcare, remote monitoring, and transportation. In these Internet of Things (IoT)-based...
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Plants is one of the major food sources for world population. In addition to that, some plants and their outcomes are used in food preparation. One of the plants which is widely used in foods and having huge medicinal...
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Outbreak of Covid-19 has opened up many research problems. One such problem is to find the number of people who have come in direct or indirect contact of a Covid-19 positive person. This problem is referred as contac...
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Cascaded liquid crystal polarization grating (LCPG) structure is commonly used to realize two-dimension large angle optical beam steering. In this architecture, different LCPGs have different incident angles. As a liq...
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The 'Remote health prediction System employing Machine Learning Algorithms' uses machine learning in healthcare. Better diagnostic and treatment decisions require better medical facilities. Machine learning he...
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Spiking Neural Networks (SNN) are biologically inspired networks working on the principle of communication triggered while crossing of threshold potentials. During the COVID-19 pandemic, immunity has been acquired by ...
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Healthcare supply chain management systems (HSCM) in the world have recently undergone a tremendous change due to the unprecedented pandemic eruption in 2019. It was observed that non-automated HSCM system is making i...
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Automating the process of harvesting fruits in an orchard-like environment can be more economical than traditional hand-picking methods. The number of people working in the agricultural sector is reducing daily, incre...
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