Results 31 to 40 of about 1,741,359 (199)

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, Fernando, Tharindu, Fookes, Clinton, McFadyen, Aaron, Sridharan, Sridha   +4 more
core   +1 more source

Long short-term memory networks for earthquake detection in Venezuelan regions [PDF]

, 2019
Reliable earthquake detection and location algorithms are necessary to properly catalog and analyze the continuously growing seismic records. This paper reports the results of applying Long Short-Term Memory (LSTM) networks to single-station three ...
Alvarado Bermúdez, Leonardo, Cruz de la Cruz, Stalin Leonel, Gutiérrez Escobar, Norma, Llácer Giner, David, Mus León, Sergi, Otero Calviño, Beatriz, Rojas, Otilio, Tous Liesa, Rubén   +7 more
core   +1 more source

Long Short-Term Memory with Dynamic Skip Connections

, 2018
In recent years, long short-term memory (LSTM) has been successfully used to model sequential data of variable length. However, LSTM can still experience difficulty in capturing long-term dependencies.
Gong, Jingjing, Gui, Tao, Huang, Xuanjing, Lin, Yaosong, Peng, Minlong, Zhang, Qi, Zhao, Lujun   +6 more
core   +1 more source

Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks [PDF]

, 2015
Because of their superior ability to preserve sequence information over time, Long Short-Term Memory (LSTM) networks, a type of recurrent neural network with a more complex computational unit, have obtained strong results on a variety of sequence ...
Manning, Christopher D., Socher, Richard, Tai, Kai Sheng   +2 more
core   +1 more source

Forecasting Air Quality Indeks Using Long Short Term Memory

Journal of Applied Informatics and Computing
Exercise 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, Filmada Ocky Saputra, Ricardus Anggi Pramunendar, Galuh Wilujeng Saraswati, Nurul Anisa Sri Winarsih, Muhammad Syaifur Rohman, Danny Oka Ratmana, Guruh Fajar Shidik   +7 more
doaj   +1 more source

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.
doaj   +1 more source

Short‐term wind power prediction based on combined long short‐term memory

IET Generation, Transmission & Distribution
Wind 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, Lincong Li, Yingjun Guo, Boming Shi, Hexu Sun   +4 more
doaj   +1 more source

Machine Learning-Based Forecasting of Bitcoin Price Movements

Proceedings of the International Conference on Applied Innovations in IT
In 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, Bojana Velichkovska, Goran Jakimovski, Danijela Efnusheva, Marija Kalendar   +4 more
doaj   +1 more source

Ultra-Short-Term Prediction of Wind Power Based on Error Following Forget Gate-Based Long Short-Term Memory

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, Chunping Li, Chunhua Peng, Jiangang Tian   +3 more
doaj   +1 more source

Klasifikasi Ekspresi Teks Berbahasa Jawa Menggunakan Algoritma Long Short Term Memory

Komputika, 2021
Bahasa Jawa bisa dikatakan Bahasa yang unik karena bahasa Jawa mempunyai banyak arti meskipun satu kata yang sama tetapi beda daerah. Suku Jawa adalah suku terbesar yaitu 41% atau sekitar 95.217.022 jiwa.
Oddy Virgantara Putra, Aziz Musthafa, Kukuh Prasetyo Wibowo   +2 more
doaj   +1 more source