Results 31 to 40 of about 439,227 (216)
Short‐term load forecasting is essential to power systems management. However, most existing forecasting methods fail to fully consider how to rationally integrate the intrinsic time‐related dimensions of electric load data and the decomposition methods ...
Jiehui Huang +4 more
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Evolving Long Short-Term Memory Networks [PDF]
Machine learning techniques have been massively employed in the last years over a wide variety of applications, especially those based on deep learning, which obtained state-of-the-art results in several research fields. Despite the success, such techniques still suffer from some shortcomings, such as the sensitivity to their hyperparameters, whose ...
Vicente Coelho Lobo Neto +2 more
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Relational and conjunctive binding functions dissociate in short-term memory [PDF]
Remembering complex events requires binding features within unified objects (conjunctions) and holding associations between objects (relations). Recent studies suggest that the two functions dissociate in long-term memory (LTM). Less is known about their
Della Sala, Sergio +7 more
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Bidirectional Long-Short Term Memory for Video Description [PDF]
Video captioning has been attracting broad research attention in multimedia community. However, most existing approaches either ignore temporal information among video frames or just employ local contextual temporal knowledge. In this work, we propose a novel video captioning framework, termed as Bidirectional Long-Short Term Memory (BiLSTM), which ...
Bin, Yi +4 more
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Modelling the relationship between visual short-term memory capacity and recall ability [PDF]
Previous cognitive modelling work has suggested that the decline of short-term memory (STM) capacity is the dominant factor of age-related decline on recall ability. We report the results of a set of experiments investigating in further detail the effect
Peter C.R. Lane +8 more
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CMIP and ATP2C2 Modulate Phonological Short-Term Memory in Language Impairment [PDF]
Specific language impairment (SLI) is a common developmental disorder characterized by difficulties in language acquisition despite otherwise normal development and in the absence of any obvious explanatory factors.
Dworzynski, K. +149 more
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Generating image descriptions with multidirectional 2D long short‐term memory
Connecting visual imagery with descriptive language is a challenge for computer vision and machine translation. To approach this problem, the authors propose a novel end‐to‐end model to generate descriptions for images.
Shuohao Li +4 more
doaj +1 more source
Dependency-based long short term memory network for drug-drug interaction extraction
Background Drug-drug interaction extraction (DDI) needs assistance from automated methods to address the explosively increasing biomedical texts. In recent years, deep neural network based models have been developed to address such needs and they have ...
Wei Wang +5 more
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The Effects of Regular Pilates Exercise on Long-Term and Short-Term Memory of the Elderly [PDF]
In today’s world, the issue of physical and psychological health and well-being of the elderly is one of the most important global concerns. Evidence suggests that physical activity can improve mental and cognitive performance and also play a role in ...
Nayereh Joolaei +2 more
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