Results 11 to 20 of about 1,765,598 (347)
To enhance the control effect of intelligent transportation system (ITS) of expressway, avoid blind travel causing traffic congestion, improve road capacity, and achieve the purpose of smooth and efficient operation of the network, 3σ criterion and 2σ ...
Xingli Jia +4 more
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Continual Learning Long Short Term Memory [PDF]
Catastrophic forgetting in neural networks indicates the performance decreasing of deep learning models on previous tasks while learning new tasks. To address this problem, we propose a novel Continual Learning Long Short Term Memory (CL-LSTM) cell in Recurrent Neural Network (RNN) in this paper.
Xin Guo +6 more
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This paper is based on a machine learning project at the Norwegian University of Science and Technology, fall 2020. The project was initiated with a literature review on the latest developments within time-series forecasting methods in the scientific community over the past five years.
Vennerød, Christian Bakke +2 more
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Prediksi Harga Cryptocurrency Menggunakan Algoritma Long Short Term Memory (LSTM)
Technological developments continue to encourage the creation of various innovations in almost all aspects of human life. One of the innovations that is becoming a worldwide phenomenon today is the presence of cryptocurrency as a digital currency that is
Moch Farryz Rizkilloh, Sri Widiyanesti
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The Relationship between Short- and Long-Term Memory Is Preserved across the Age Range
Both short- and long-term memories decline with healthy ageing. The aims of the current study were twofold: firstly, to build on previous studies and investigate the presence of a relationship between short- and long-term memories and, secondly, to ...
Giedrė Čepukaitytė +4 more
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Accurate electricity consumption prediction using enhanced long short‐term memory
In the present era, the exponential growth in the human population and technological advancements has dramatically increased the power demand. As electricity is being used at the same time as it is produced at the power plant, effective forecasting of ...
Ragupathi Chinnaraji, Prakash Ragupathy
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LSUnetMix: Fuse channel feature information with long–short term memory
Medical image segmentation based on deep learning is becoming popular. To improve the segmentation accuracy of medical images such as cells and vessels, we propose the LSUnetMix model, which can effectively enhance the ability to extract channel ...
Chao Yuan, Yanbo Wang, Yunxuan Xiao
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Sentiment analysis is the process of recognizing positive or negative attitudes in text. This technique makes use of computational linguistics, text analysis, and natural language processing.
David Opeoluwa Oyewola +4 more
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Musicians have better memory than nonmusicians: A meta-analysis [PDF]
Background Several studies have found that musicians perform better than nonmusicians in memory tasks, but this is not always the case, and the strength of this apparent advantage is unknown.
Altoe', Gianmarco +3 more
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THE PSYCHOLINGUISTIC BASIS OF THE LINGUISTIC CONCEPTUALIZATION
The object of this article is the methodology of psycholinguistics concerning analyzing concepts. The article's relevance is due to the need to apply new approaches to linguistic phenomena analysis, for which a purely linguistic methodology is not
Zhao Yuanze +3 more
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