Results 41 to 50 of about 11,734,216 (296)

Building Cooling Load Prediction Based on GWO-CNN-LSTM

Energies
Accurate prediction of building cooling load is crucial for enhancing energy efficiency and optimizing the operation of Heating, Ventilation, and Air Conditioning (HVAC) systems.
Xuelong Zhang, Chao Zhang, Yongzhi Ma, Kunyu Liu   +3 more
doaj   +1 more source

A time-aware LSTM approach to predict tumor size and survival month in non-small cell lung cancer [PDF]

, 2022
Recent advances in long short-term memory (LSTM) networks have enabled us to handle sequential and time-series data. However, some applications of LSTM networks in the healthcare domain have produced suboptimal performances, as the algorithm assumes ...
Kim, Changjae
core  

Basic structure of the Long-term Short Term (LSTM) method with two LSTM layers.

, 2022
Basic structure of the Long-term Short Term (LSTM) method with two LSTM layers.
Neville Sweijd (12431677), Tassallah Abdullahi (12431671), Geoff Nitschke (12431674)   +2 more
core   +1 more source

ANALYSIS OF LONG SHORT – TERM MEMORY (LSTM) PARAMETERS IN PREDICTING IHSG

JOHME: Journal of Holistic Mathematics Education
For investors looking to enhance the value of their financial assets, stock investment is a popular choice. A Long Short-Term Memory (LSTM) model will be used to forecast the movement of the Indonesia Composite Index (IHSG) in the domestic capital ...
Daud Padut Aritiran Remetwa, Lina Cahyadi, Ferry Vincentius Ferdinand, Kie Van Ivanky Saputra, Kathleen Teja   +4 more
doaj   +1 more source

Enhancing Power Generation Forecasting in Smart Grids Using Hybrid Autoencoder Long Short-Term Memory Machine Learning Model

IEEE Access, 2023
This study explores the implementation of advanced machine learning techniques to enhance the integration of renewable energy into smart grids, focusing specifically on predicting solar power generation for the upcoming year.
Ahsan Zafar, Yanbo Che, Muneer Ahmed, Muhammad Sarfraz, Ashfaq Ahmad, Mohammad Alibakhshikenari   +5 more
doaj   +1 more source

Extreme-Long-short term memory for Time-series Prediction

, 2023
This thesis introduces a novel neural network, the Extreme Long Short-Term Memory (E-LSTM), combine the advantages of Long Short-Term Memory (LSTM) networks and Extreme Learning Machines (ELM).
Sida Xing (4180396)
core  

jiaxiang-cheng/PyTorch-LSTM-for-RUL-Prediction: LSTM for RUL Prediction

, 2021
PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Partially inspired by Zheng, S., Ristovski, K., Farahat, A., & Gupta, C. (2017, June).
Jia-Xiang Cheng
core   +1 more source

Long-term memory

, 2021
Long-term memory is the mechanism which enables us to store information and experiences in a lasting fashion, for possible retrieval at some point in the future. This ability to create and retrieve memories is fundamental to all aspects of cognition, and
Groome, D., Law, R.
core   +2 more sources

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Enhanced separation of long-term memory from short-term memory on top of LSTM: Neural network-based stock index forecasting.

PLoS ONE
LSTM (Long Short-Term Memory Network) is currently extensively utilized for forecasting financial time series, primarily due to its distinct advantages in separating the long-term from the short-term memory information within a sequence.
Hongfei Xiao
doaj   +1 more source