Results 141 to 150 of about 59,773 (168)

Forecasting COVID-19 Pandemic using Prophet, LSTM, hybrid GRU-LSTM, CNN-LSTM, Bi-LSTM and Stacked-LSTM for India

2023 6th International Conference on Information Systems and Computer Networks (ISCON), 2023
Satya Prakash, Anand Singh Jalal, Pooja Pathak   +2 more
openaire   +1 more source

IA-LSTM: Interaction-Aware LSTM for Pedestrian Trajectory Prediction

IEEE Transactions on Cybernetics
Predicting the trajectory of pedestrians in crowd scenarios is indispensable in self-driving or autonomous mobile robot field because estimating the future locations of pedestrians around is beneficial for policy decision to avoid collision. It is a challenging issue because humans have different walking motions, and the interactions between humans and
Jing Yang 0014, Yuehai Chen, Shaoyi Du, Badong Chen, José C. Príncipe   +4 more
openaire   +2 more sources

KAN‐LSTM: A New LSTM Structure for the Prediction of the Stock Market

Concurrency and Computation: Practice and Experience
ABSTRACT Accurate stock market prediction is crucial for investors to formulate correct investment strategies. However, the non‐linearity, high dimensionality, and volatility of financial data pose significant challenges to existing stock market prediction models.
Cheng Zhu, Weiping Zhu 0004, Jin Liu 0016, Yongqiang Tang, Xiao Liu 0004   +4 more
openaire   +1 more source

Supertagging With LSTMs

Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016
Ashish Vaswani, Yonatan Bisk, Kenji Sagae, Ryan Musa   +3 more
openaire   +1 more source

Application of LSTM approach for modelling stress–strain behaviour of soil

Applied Soft Computing Journal, 2021
Ning Zhang, Shui-Long Shen, Annan Zhou   +2 more
exaly  

Co-LSTM: Convolutional LSTM model for sentiment analysis in social big data

Information Processing and Management, 2021
Ranjan Kumar Behera, Monalisa Jena, Santanu Kumar Rath   +2 more
exaly  

An Exploration of Dropout with LSTMs

Interspeech 2017, 2017
Gaofeng Cheng, Vijayaditya Peddinti, Daniel Povey, Vimal Manohar, Sanjeev Khudanpur, Yonghong Yan 0002   +5 more
openaire   +1 more source

Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network

Physica D: Nonlinear Phenomena, 2020
Alex Sherstinsky
exaly  

Predictions for COVID-19 with deep learning models of LSTM, GRU and Bi-LSTM

Chaos, Solitons and Fractals, 2020
Farah Shahid, Aneela Zameer, Muhammad Muneeb   +2 more
exaly  

A new method for heart rate prediction based on LSTM-BiLSTM-Att

Measurement: Journal of the International Measurement Confederation, 2023
Haijun Lin, Sirao Zhang, Ya Li
exaly