Results 61 to 70 of about 2,212,722 (355)
The Effects of Regular Pilates Exercise on Long-Term and Short-Term Memory of the Elderly [PDF]
روانشناسی پیری, 2017 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
doaj
Location Prediction of Sperm Cells Using Long Short‐Term Memory Networks
Advanced Intelligent Systems, 2023 Intracytoplasmic sperm injection (ICSI) requires precise selection of a single sperm cell in a dish to be injected into an oocyte. This task is challenging due to high sperm velocity, collision with other sperm cells, and changes in the imaging focus ...
Lioz Noy +5 more
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Optimization based Long Short Term Memory Network for Protein Structure Prediction
U.Porto Journal of Engineering, 2022 One of the challenging tasks in computational biology is the anticipation of protein secondary structure (PSS) from amino acid sequences. Numerous computational and statistical methods are used for this purpose.
Pravinkumar Sonsare, Gunavathi C.
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Machine Learning-Based Forecasting of Bitcoin Price Movements
Proceedings of the International Conference on Applied Innovations in ITIn the volatile realm of cryptocurrency markets, this research explores the intricate dance of Bitcoin price dynamics through the lens of machine learning. Employing a multifaceted approach, we harness the power of Long Short-Term Memory (LSTM) networks,
Darko Angelovski +4 more
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Energies, 2020 To improve the accuracy of ultra-short-term wind power prediction, this paper proposed a model using modified long short-term memory (LSTM) to predict ultra-short-term wind power.
Pei Zhang +3 more
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Prediction of Daily Climate Using Long Short-Term Memory (LSTM) Model
International Journal of Innovative Science and Research TechnologyClimaate prediction plays a vital role in various sectors, including agriculture, disaster management, and urban planning. Traditional methods for climate forecasting often rely on complex physical models, which require substantial computational ...
Jinxin Xu +4 more
semanticscholar +1 more source
The impact of Eysenck's extraversion-introversion personality dimension on prospective memory [PDF]
, 2001 Prospective memory (PM) is memory for future events. PM is a developing area of research (e.g., Brandimonte, Einstein & McDaniel, 1996) with recent work linking personality types and their utilisation of PM (Goschke & Kuhl, 1996; Searleman, 1996).
Heffernan, Tom, Ling, Jonathan
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Software Effort Estimation Using Multilayer Perceptron and Long Short Term Memory [PDF]
Informatică economică, 2019 Software effort estimation is a hot topic for study in the last decades. The biggest challenge for project managers is to meet their goals within the given time limit.
Eduard-Florin PREDESCU +2 more
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Hydrological Concept Formation inside Long Short-Term Memory (LSTM) networks
Hydrology and Earth System Sciences, 2021 . Neural networks have been shown to be extremely effective rainfall-runoff models, where the river discharge is predicted from meteorological inputs. However, the question remains, what have these models learned?
Thomas Lees +9 more
semanticscholar +1 more source
Tree Memory Networks for Modelling Long-term Temporal Dependencies
, 2018 In the domain of sequence modelling, Recurrent Neural Networks (RNN) have been capable of achieving impressive results in a variety of application areas including visual question answering, part-of-speech tagging and machine translation.
Denman, Simon +4 more
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