Results 21 to 30 of about 3,183,655 (317)
Quantum Long Short-Term Memory [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020 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
Samuel Yen-Chi Chen +2 more
semanticscholar +1 more source
Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification
Annual Meeting of the Association for Computational Linguistics, 2016 Relation classification is an important semantic processing task in the field of natural language processing (NLP). State-ofthe-art systems still rely on lexical resources such as WordNet or NLP systems like dependency parser and named entity recognizers
P. Zhou +6 more
semanticscholar +1 more source
Intrusion detection systems using long short-term memory (LSTM)
Journal of Big Data, 2021 An intrusion detection system (IDS) is a device or software application that monitors a network for malicious activity or policy violations. It scans a network or a system for a harmful activity or security breaching. IDS protects networks (Network-based
FatimaEzzahra Laghrissi +3 more
semanticscholar +1 more source
NMDA receptor plasticity in the perirhinal and prefrontal cortices is crucial for the acquisition of long-term object-in-place associative memory [PDF]
, 2008 A key process for recognition memory is the formation of associations between an object and the place in which it was encountered, a process that has been shown to require the perirhinal (PRH) and medial prefrontal (mPFC) cortices.
Barker, Gareth, Warburton, E Clea
core +2 more sources
Conceptual Short Term Memory in perception and thought
Frontiers in Psychology, 2012 Conceptual short term memory (CSTM) is a theoretical construct that provides one answer to the question of how perceptual and conceptual processes are related. CSTM is a mental buffer and processor in which current perceptual stimuli and their associated
Mary C. Potter
doaj +1 more source
Stimulus-specific mechanisms of visual short-term memory [PDF]
, 1991 The retention of spatial information in visual short-term memory was assessed by measuring spatial frequency discrimination thresholds with a two-interval forced-choice task varying the time interval between the two gratings to be compared. The memory of
Asplund, R. +3 more
core +1 more source
Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks
Hydrology and Earth System Sciences, 2018 . Rainfall–runoff modelling is one of the key challenges in the field of hydrology. Various approaches exist, ranging from physically based over conceptual to fully data-driven models.
Frederik Kratzert +4 more
semanticscholar +1 more source
Prediksi Pendapatan Kargo Menggunakan Arsitektur Long Short Term Memory
Jurnal Komputer Terapan, 2020 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
A long short‐term memory‐based model for greenhouse climate prediction
International Journal of Intelligent Systems, 2021 Greenhouses can grow many off‐season vegetables and fruits, which improves people's quality of life. Greenhouses can also help crops resist natural disasters and ensure the stable growth of crops.
Yuwen Liu +8 more
semanticscholar +1 more source
Prioritizing Targets and Minimizing Distraction Within Limited Capacity Working Memory
Journal of Cognition, 2019 Oberauer (2019) maps out different perspectives that have emerged in exploring working memory and attention, and suggests particular ways in which these key aspects of cognition might operate in the service of successful goal completion.
Richard J. Allen
doaj +1 more source