Results 91 to 100 of about 16,939 (236)

LSTM model.

, 2019
A bidirectional LSTM combined with an additional LSTM layer, followed by a dense decision layer with one output neuron activated by a sigmoid function. Overall, we have 16 hidden units in our LSTM layer.
Yuqian Zhou (6928082), Michael J. Shaw (1963081), Yu-Wei Lin (731255), Roy H. Campbell (766583), Faraz Faghri (766582)   +4 more
core   +1 more source

A Bidirectional LSTM-RNN and GRU Method to Exon Prediction Using Splice-Site Mapping

, 2022
Deep Learning techniques (DL) significantly improved the accuracy of predictions and classifications of deoxyribonucleic acid (DNA). On the other hand, identifying and predicting splice sites in eukaryotes is difficult due to many erroneous discoveries ...
Osman Nuri Ucan, Uçan, Osman Nuri, Canatalay, Peren Jerfi, Peren Jerfi CANATALAY   +3 more
core   +1 more source

Intelligence Collision Detection Using a Combination of Tuning Base Methods and Convolutional Long Short Term Memory Models

Smart Cities
Effective traffic control using Artificial Intelligence (AI) is essential to ensure safe passage for all road users. AI-based collision detection systems offer advanced mechanisms to prevent accidents and improve highway safety.
Mohammed Hilfi, Lubna Alazzawi
doaj   +1 more source

TAMNet: Temporal and adaptive‐frequency network with MixStyle for cross‐region oil and fluid production forecasting

Deep Underground Science and Engineering, EarlyView.
This paper presents temporal and adaptive‐frequency network with MixStyle (TAMNet), a deep time‐series modeling framework for accurate and robust multi‐well oil productivity forecasting. TAMNet integrates transformer and long short‐term memory architectures to capture both short‐ and long‐term temporal dependencies, enhanced by a temporal gate unit ...
Chunxi Yang, Leifeng Meng, Qinghu Fan, Ziang Guo, Ting Bao, Pingdong Zhong, Fulin Luo   +6 more
wiley   +1 more source

Advanced sentiment analysis in online shopping: Implementing LSTM models analyzing E-commerce user sentiments

Nonlinear Engineering
This study addresses the accuracy challenges in e-commerce sentiment classification and thus provides valuable insight for businesses to enrich strategies toward the interpretation of customer feedback and improvement of product development. This article
Lu Liyuan
doaj   +1 more source

Feasibility of Wind‐Powered Green Hydrogen Production via a Hybrid Graph Neural Network‐Transformer Forecasting Model

Energy Science &Engineering, EarlyView.
ABSTRACT Accurate long‐term wind speed forecasting is pivotal for the strategic planning of renewable energy infrastructure, particularly for assessing the techno‐economic feasibility of wind‐powered green hydrogen facilities. However, capturing the complex spatiotemporal dependencies in climate data remains a significant challenge. This study proposes
Iman Baghaei, Mojtaba Mirhosseini, Alireza Zahedi   +2 more
wiley   +1 more source

Tree‐Boost–Guided CNN–BiLSTM–Transformer for Solar Irradiance Forecasting: Cross‐Regional Evidence for Sustainable Energy Planning

Energy Science &Engineering, EarlyView.
This graphical abstract illustrates a reproducible pipeline that combines gradient‐boosting‐based feature selection with a CNN–BiLSTM–Transformer model to forecast solar irradiance across multi‐site satellite and ground datasets, delivering robust, high‐accuracy predictions that support sustainable grid planning and reliable PV integration.
Muhammad Farhan Hanif, Usama Hassan, Javid Hussain, Irfan Ali Khan, Yuldasheva Gulora, Syed Masood Arif Bukhari   +5 more
wiley   +1 more source

Facial Image Completion Using Bi-Directional Pixel LSTM

IEEE Access, 2020
Structural features of facial images directly affect the performance of the image completion model. However, most existing work does not make full use of spatial dependence to extract features, and cause the semantics and structure of completion being ...
Xiulan Yu, Jiahao He, Zufan Zhang
doaj   +1 more source

Sufficient Gas and Solvated Ion Transport Assisted Rapid NH3 Detection at Room Temperature Through Bionic Olfactory Fibres

Exploration, EarlyView.
Bionic olfactory fibres with nanoconfined ionic liquids were developed to mimic human olfactory cilia. Benefiting from sufficient gas transport pathways provided by inter‐fibre interconnected pores and rapid transport of solvated ions in the confined nano spacing, bionic olfactory fibres show excellent sensing performance to NH3 and demonstrate the ...
Hongyang Liu, Lingyun Xu, Xiaohan Sun, Zhihao Zhao, Qi Song, Weijie Wang, Zhe Chen, Gongmo Xiang, Yupeng Chen, Fanrong Zhao, Xiangyu Jiang, Lei Jiang   +11 more
wiley   +1 more source

Bidirectional LSTM Networks for Improved Phoneme Classification and Recognition [PDF]

, 2005
In this paper, we carry out two experiments on the TIMIT speech corpus with bidirectional and unidirectional Long Short Term Memory (LSTM) networks. In the first experiment (framewise phoneme classification) we find that bidirectional LSTMoutperforms both unidirectional LSTMand conventional Recurrent Neural Networks (RNNs).
Alex Graves, Santiago Fernández, Jürgen Schmidhuber   +2 more
openaire   +1 more source