Results 61 to 70 of about 35,156 (275)
A novel anomaly detection method for multimodal WSN data flow via a dynamic graph neural network
Connection Science, 2022 Anomaly detection is a critical technique that ensures the reliability of WSNs. However, most existing anomaly detection methods only consider the case of single modal data flow anomaly detection for each node or multiple modal time series data flow ...
Qinghao Zhang, Miao Ye, Xiaofang Deng
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Journal of Space Weather and Space Climate, 2022 Studies of the Sun and the Earth’s atmosphere and climate consider solar variability as an important driver, and its constant monitoring is essential for climate models. Solar total and spectral irradiance are among the main relevant parameters. Physical
Muralikrishna Amita +2 more
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, 2010 Colour: Sepia; Style: Portrait; Other: Unbordered, DividedThis postcard shows the Gru-Gru palm, which is native to tropical regions. It normally grows 15-20 m tall with a trunch up to 50 cm in diameter.
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Revista de la Facultad de Medicina, 1954 La historia de los divertículos del duodeno comienza como una pura curiosidad anatómica (Chomel: 1710; Morgagni: 1761). Es más adelante un hallazgo quirúrgico, y comienzan a ser diagnosticados después de 1912 en el curso de exámenes radiológicos ...
Isaac Gru U.
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Confusion Matrix of best-performing models (a) BiLSTM-GRU with Floret embedding on IJCNLP, (b) BiLSTM-GRU with Floret embedding on Jahangir, (c) BiLSTM-GRU with FastText embedding on MKPUCIT, and (d) BiLSTM-GRU with Floret embedding on UNER. [PDF]
Confusion Matrix of best-performing models (a) BiLSTM-GRU with Floret embedding on IJCNLP, (b) BiLSTM-GRU with Floret embedding on Jahangir, (c) BiLSTM-GRU with FastText embedding on MKPUCIT, and (d) BiLSTM-GRU with Floret embedding on UNER.
Emmanuel Soriano Flores (18271908) +7 more
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A Study of Forest Phenology Prediction Based on GRU Models [PDF]
, 2023 Investigating forest phenology prediction is a key parameter for assessing the relationship between climate and environmental changes. Traditional machine learning models are not good at capturing long-term dependencies due to the problem of vanishing ...
Lichen Zhu, Peng Guan, Yili Zheng
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AI-Based Prediction of Stock Movements: LSTM and GRU Models for the Swedish Market [PDF]
Att förutse aktiekursrörelser är en central utmaning för investerare som strävar efteratt minska risker och öka framgången för sina investeringar. Detta examensarbeteundersöker potentialen hos två AI-baserade modeller, Long Short-Term memory(LSTM) och ...
Hosseinbor, Sannaz
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Acrocephalus, 2007 On 29 Nov 2007, a flock about 150 Cranes Was observed flying over the city center of osijek (UTM CR14). The Cranes came from baranja in the northeast. The flock soon dispersed over the city, then started circling and rising to a higher altitude. As is was sunny on that day, we could cleary watch the birds through binoculars as well as hear their ...
Jurčević, Ivančica +1 more
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SGDM-GRU: Spectral Graph Deep Learning Based Gated Recurrent Unit Model for Accurate Fake News Detection [PDF]
With the surge of diverse news content on social media platforms, the necessity to effectively identify and combat fake news has never been more critical.
Sahi, Aqeel +6 more
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DESIGNING EFFECTIVE CHATBOT SYSTEM USING GRU WITH BEAM SEARCH [PDF]
, 2022 Artificial Intelligence (AI) based Chatbot is a moderately new technology in the world. AI and Natural Language Processing (NLP) empowers a Chatbot to converse like a human being.
Sandeep A. Thorat +2 more
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