Results 31 to 40 of about 276,034 (269)
Displacement prediction of periodic term of Baishuihe landslide based on APSO-SVR-GRU model
Zhongguo dizhi zaihai yu fangzhi xuebao, 2022 The prediction of landslide periodic term displacement is a crucial step in the study of landslide deformation in geological disasters. Since single prediction model is susceptible to accidental factors and cannot make full use of effective information ...
Weidong YANG +3 more
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Multi-modal gated recurrent units for image description
, 2018 Using a natural language sentence to describe the content of an image is a challenging but very important task. It is challenging because a description must not only capture objects contained in the image and the relationships among them, but also be ...
Li, Xuelong, Lu, Xiaoqiang, Yuan, Aihong
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Energies, 2023 Forecasting peak electrical energy consumption is important because it allows utilities to properly plan for the production and distribution of electrical energy. This reduces operating costs and avoids power outages.
Agbessi Akuété Pierre +3 more
semanticscholar +1 more source
A review of cutaneous manifestations of HTLV-associated adult T-cell leukemia/lymphoma
Frontiers in MedicineAdult T-cell leukemia/lymphoma (ATLL) is a rare aggressive mature T-cell neoplasm caused by the human T-cell leukemia virus type 1 (HTLV-1). The disease predominantly affects patients from endemic regions of Japan, the Caribbean, Sub-Saharan Africa, and ...
Tessa M. LeWitt +2 more
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Automated Audio Captioning with Recurrent Neural Networks
, 2017 We present the first approach to automated audio captioning. We employ an encoder-decoder scheme with an alignment model in between. The input to the encoder is a sequence of log mel-band energies calculated from an audio file, while the output is a ...
Adavanne, Sharath +2 more
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PREDICTING MEDICINE DEMAND USING DEEP LEARNING TECHNIQUES
Iraqi Journal for Computers and Informatics, 2023 Medication supply and storage are essential components of the medical industry and distribution. Most medications have a predetermined expiration date. When the demand is met in large quantities that exceed the actual need, this leads to the accumulation
Bashaer Abdurahman Mousa +1 more
doaj
Light Gated Recurrent Units for Speech Recognition
, 2018 A field that has directly benefited from the recent advances in deep learning is Automatic Speech Recognition (ASR). Despite the great achievements of the past decades, however, a natural and robust human-machine speech interaction still appears to be ...
Bengio, Yoshua +3 more
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Improving speech recognition by revising gated recurrent units
, 2017 Speech recognition is largely taking advantage of deep learning, showing that substantial benefits can be obtained by modern Recurrent Neural Networks (RNNs).
Bengio, Yoshua +3 more
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A novel CNN-GRU-LSTM based deep learning model for accurate traffic prediction
Discover ComputingEffective traffic prediction is crucial for optimizing urban transportation systems, minimizing congestion, and enhancing overall efficiency. Traffic congestion results in prolonged travel durations, higher fuel consumption, economic setbacks, and ...
Vandana Singh +2 more
semanticscholar +1 more source
First X-ray observations of the polar CE Gru
, 2002 We report the detection of the polar CE Gru in X-rays for the first time. We find evidence for a dip seen in the hard X-ray light curve which we attribute to the accretion stream obscuring the accretion region in the lower hemisphere of the white dwarf ...
Cropper, Mark, Ramsay, Gavin
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