Results 71 to 80 of about 2,212,722 (355)
Short‐term wind power prediction based on combined long short‐term memory
IET Generation, Transmission & DistributionWind power is an exceptionally clean source of energy; its rational utilization can fundamentally alleviate the energy, environment, and development problems, especially under the goals of ‘carbon peak’ and ‘carbon neutrality’. A combined short‐term wind
Yuyang Zhao +4 more
doaj +1 more source
Forecasting Air Quality Indeks Using Long Short Term Memory
Journal of Applied Informatics and ComputingExercise offers significant physical and mental health benefits. However, undetected air pollution can have a negative impact on individual health, especially lung health when doing physical activity in crowded sports venues.
Irfan Wahyu Ramadhani +7 more
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Categorisation of power quality problems using long short‐term memory networks
IET Generation, Transmission & Distribution, 2021 Recognition of power quality (PQ) troubles is a critical task in the electrical power system. All previous works solve this problem using two‐step methodology: Feature extraction and classification steps with each step using its own techniques, and this ...
Abdelazeem A. Abdelsalam +2 more
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Prediksi Gender Berdasarkan Nama Bahasa Indonesia Menggunakan Long Short Term Memory
JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2023 Prediksi gender merupakan salah satu bentuk dari program yang dapat melakukan prediksi yang mengeluarkan output berupa jenis gender. Pada riset yang dilakukan pada studi kasus ini, kami menggunakan input berupa teks nama orang Indonesia.
Arya Mulya Kusuma +5 more
doaj +1 more source
FEBS Letters, EarlyView.In vivo IL‐10 produced by tissue‐resident tolDC is involved in maintaining/inducing tolerance. Depending on the agent used for ex vivo tolDC generation, cells acquire common features but prime T cells towards anergy, FOXP3+ Tregs, or Tr1 cells according to the levels of IL‐10 produced. Ex vivo‐induced tolDC were administered to patients to re‐establish/
Konstantina Morali +3 more
wiley +1 more source
Human activity recognition making use of long short-term memory techniques [PDF]
, 2019 The optimisation and validation of a classifiers performance when applied to real world problems is not always effectively shown. In much of the literature describing the application of artificial neural network architectures to Human Activity ...
Shenfield, Alex, Wainwright, Richard
core +1 more source
Vietnamese Text Classification Algorithm using Long Short Term Memory and Word2Vec
Информатика и автоматизация, 2020 In the context of the ongoing forth industrial revolution and fast computer science development the amount of textual information becomes huge. So, prior to applying the seemingly appropriate methodologies and techniques to the above data processing ...
Huu Nguyen Phat, Nguyen Thi Minh Anh
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Improved LSTM Method of Predicting Cryptocurrency Price Using Short-Term Data
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2023 As cryptocurrencies develop, it cannot be denied that crypto prices are volatile. One of the influencing factors is the increasing volume of transactions which attracts the interest of researchers to conduct research in developing coin price predictions ...
Risna Sari +3 more
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Forecasting stock prices with long-short term memory neural network based on attention mechanism
PLoS ONE, 2020 The stock market is known for its extreme complexity and volatility, and people are always looking for an accurate and effective way to guide stock trading.
Jiayu Qiu, Bin Wang, Changjun Zhou
semanticscholar +1 more source