Results 11 to 20 of about 395,648 (314)
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
doaj +3 more sources
This paper designs a hybridized deep learning framework that integrates the Convolutional Neural Network for pattern recognition with the Long Short-Term Memory Network for half-hourly global solar radiation (GSR) forecasting.
Sujan Ghimire +2 more
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TRAINING OF THE FUTURE INTERPRETERS’ WORKING MEMORY [PDF]
The article is devoted to the issues of functioning and training of short-term and long-term memory of future interpreters. The concept of translation competence is considered, and it is noted that in order for it to be at a rather high level, an ...
Antonina V. Prokopenko, Valeriia M. Rava
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Human Activity Prediction using Long Short Term Memory [PDF]
Early symptoms of dementia is one of the causes decrease in quality of life. Human activity recognition (HAR) system is proposed to recognize the daily routines which has an important role in detecting early symptoms of dementia.
Septiadi Jaka, Warsito Budi, Wibowo Adi
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Arabic Language Sentiment Analysis using Bidirectional Long Short Term Memory [PDF]
The amount of data generated in the digital era is huge since the super growth of social networks. Sentiment analysis (SA) seeks to extract opinions from a text and determine the polarity (positive, negative, or neutral).
amira abdelatey +2 more
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Lipreading with long short-term memory [PDF]
Accepted for publication at ICASSP ...
Michael Wand 0002 +2 more
openaire +2 more sources
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.
Christian Bakke Vennerød +2 more
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Quantum Long Short-Term Memory
Long short-term memory (LSTM) is a kind of recurrent neural networks (RNN) for sequence and temporal dependency data modeling and its effectiveness has been extensively established. In this work, we propose a hybrid quantum-classical model of LSTM, which we dub QLSTM.
Samuel Yen-Chi Chen +2 more
openaire +2 more sources
Prediksi Pendapatan Kargo Menggunakan Arsitektur Long Short Term Memory
Angkutan kargo udara Indonesia saat ini mengalami perkembangan yang cukup signifikan. Salah satu layanan kargo yang terdapat di Indonesia yaitu Garuda Indonesia Cargo dan memiliki beberapa kantor cabang.
Bagas Aji Aprian +2 more
doaj +1 more source
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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