Results 51 to 60 of about 3,183,655 (317)
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
doaj +1 more source
The Impact of Developing Short-Term Memory on the Interpretation Performance of Students
Cihan University-Erbil Journal of Humanities and Social Sciences, 2022 This paper is concentrated on the impacts of short-term memory development techniques on students’ performance in interpretation courses. Subjects of the study are chosen among senior students of the Translation Department, Cihan University-Erbil.
Fereydoon Rasouli
doaj +1 more source
Application of Long Short-Term Memory (LSTM) Neural Network for Flood Forecasting
Water, 2019 Flood forecasting is an essential requirement in integrated water resource management. This paper suggests a Long Short-Term Memory (LSTM) neural network model for flood forecasting, where the daily discharge and rainfall were used as input data ...
Xuan-Hien Le +3 more
semanticscholar +1 more source
Long Short-Term Memory Spatial Transformer Network
, 2019 Spatial transformer network has been used in a layered form in conjunction with a convolutional network to enable the model to transform data spatially.
Chen, Tianyue, Feng, Shiyang, Sun, Hao
core +1 more source
Mechanisms of IgE‐mediated food allergy and the role of allergen‐specific B cells
FEBS Letters, EarlyView.Food allergy arises when allergen‐specific B cells preferentially produce immunoglobulin E (IgE) antibodies against harmless foods. This article explains the mechanisms driving IgE‐mediated reactions, highlights the central role of these B cells, and discusses how natural tolerance (NT) and oral immunotherapy (OIT) can reshape allergic immune responses.
Juan‐Felipe López +2 more
wiley +1 more source
What makes an excellent reader? Short-term memory contrasts between two groups of children
Frontiers in EducationPurposeResearch on the association of short-term memory (STM) and reading expertise are dominated by studies with typically developing children and children with reading impairment.
Ferenc Kemény +8 more
doaj +1 more source
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
Serial order in short-term memory [PDF]
, 2001 How do we maintain a novel sequence of items in the correct order? For example, how do we remember the car number plate at the scene of a crime? Or how do we remember an unfamiliar telephone number during the few seconds between putting down the ...
Henson, R.N.A.
core
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
core +1 more source
Inhibition of Connexin43 hemichannels impairs spatial short-term memory without affecting spatial working memory [PDF]
, 2016 Astrocytes are active players in higher brain function as they can release gliotransmitters, which are essential for synaptic plasticity. Various mechanisms have been proposed for gliotransmission, including vesicular mechanisms as well as non-vesicular ...
Albertini, Giulia +5 more
core +2 more sources