Results 91 to 100 of about 439,227 (216)
Anais da Academia Brasileira de Ciências, 2000 Since William James (1890) first distinguished primary from secondary memory, equivalent to short- and long-term memory, respectively, it has been assumed that short-term memory processes are in charge of cognition while long-term memory is being ...
MÔNICA R.M. VIANNA +5 more
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Long-Term Traffic Prediction Using Deep Learning Long Short-Term Memory
Smart CitiesTraffic conditions are a key factor in our society, contributing to quality of life and the economy, as well as access to professional, educational, and health resources. This emphasizes the need for a reliable road network to facilitate traffic fluidity
Ange-Lionel Toba +3 more
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Long Short-Term Memory with Dynamic Skip Connections
Proceedings of the AAAI Conference on Artificial Intelligence, 2019 In recent years, long short-term memory (LSTM) has been successfully used to model sequential data of variable length. However, LSTM can still experience difficulty in capturing long-term dependencies. In this work, we tried to alleviate this problem by introducing a dynamic skip connection, which can learn to directly connect two dependent words ...
Tao Gui +6 more
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Long short-term memory networks in memristor crossbars
CoRR, 2018 Recent breakthroughs in recurrent deep neural networks with long short-term memory (LSTM) units has led to major advances in artificial intelligence. State-of-the-art LSTM models with significantly increased complexity and a large number of parameters, however, have a bottleneck in computing power resulting from limited memory capacity and data ...
Can Li 0024 +16 more
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Wind power deviation charge reduction using long short term memory network
e-Prime: Advances in Electrical Engineering, Electronics and EnergyHigh penetration of variable generation like wind in modern power systems results in frequent load-generation imbalances. Additional spinning reserves and balancing services are deployed to reduce or avoid such imbalances.
Sandhya Kumari +3 more
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HALOGrid—HyperAdaptive long short term memory model with intelligent grid optimization
International Journal of Electrical Power & Energy SystemsHALOGrid is an adaptive edge–cloud malware detection framework for IoT traffic. The approach couples a lightweight LSTM (residual paths, attention, drift-penalty regularization) for low-latency edge inference with a telemetry-driven tuner that performs ...
Kamran Ahmad Awan +6 more
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Economics of long-term care in Ohio
, 1992 Electronic data (1 file : 445123 bytes).; "Ohio Long-Term Care Research Project"--Cover.; Includes bibliographical references (p.
Mehdizadeh, Shahla A. +1 more
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Consequences for option pricing of a long memory in volatility [PDF]
, 2000 The economic consequences of a long memory assumption about volatility are documented, by comparing implied volatilities for option prices obtained from short and long memory volatility processes.
Stephen J Taylor, Taylor, S J
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Temporal information processing in short- and long-term memory of patients with schizophrenia
, 2011 Cognitive deficits of patients with schizophrenia have been largely recognized as core symptoms of the disorder. One neglected factor that contributes to these deficits is the comprehension of time.
Krueger Frank +17 more
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Memory – what is it and how it works?
Zdravniški Vestnik, 2006 : Memory system presents a basis for many cognitive functions and at the same time it itself depends on their normal function. The purpose of the article is to show how it works as an array of interacting systems, each capable of registring information ...
Sanja Šešok
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