Results 281 to 290 of about 90,690 (297)

LSTM-Exploit: Intelligent Penetration Based on LSTM Tool

2021
LSTM-Exploit based on the cyclic neural network “LSTM” will analyze existing exploit rules, explore the internal relationships between payloads applicable to different systems to design and create intelligent penetration tools.
Ximin Wang, Luyi Huang, Junlan Zhu, Wenbo He, Zhaopeng Qin, Ming Yuan   +5 more
openaire   +1 more source

Stock Price Analysis Using LSTM & Bi-LSTM

As subjective as it may seem, choosing the best strategy for international business development is one of the more difficult tasks in international finance. This research investigates the use of machine learning in this case for stock price forecasting and analysis. The chosen approach is the application of Long Short Term Memory (LSTM) neural networks.
Sachit Rawat, Sujal Gupta, Shahzeb Khan
openaire   +1 more source

CT-LSTM

Proceedings of the 2nd International Conference on Computer Science and Application Engineering, 2018
Visual1 tracking still is a very challenging problem due to complex appearance variations. Deep learning has become a new way to automatically dig features for object appearance modeling. Several recent tracking algorithms use deep models pre-trained on large-scale classification datasets, and are later transferred online for object tracking.
openaire   +1 more source

Forecasting agricultural commodities prices using deep learning-based models: basic LSTM, bi-LSTM, stacked LSTM, CNN LSTM, and convolutional LSTM

International Journal of Sustainable Agricultural Management and Informatics, 2022
R. Murugesan, Eva Mishra, Akash Hari Krishnan   +2 more
openaire   +1 more source

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

LSTM-BA: DDoS Detection Approach Combining LSTM and Bayes

2019 Seventh International Conference on Advanced Cloud and Big Data (CBD), 2019
The development of cyberspace brings both opportunities and threats, among which Distributed Denial of Service (DDoS) is one of the most destructive attacks. A mass of DDoS attack detection methods have been proposed. But more or less there are some problems, either the construction process is complex, or low accuracy, or poor generalization ability ...
Yan Li, Yifei Lu
openaire   +1 more source

LSTM,LSTM-GAN

LSTM  for dynamic factors ,LSTM-GAN for collapses, PN for mapping and ...
openaire   +1 more source

SACS-LSTM

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering, 2021
Huxiao Wang, Danyang Zhou, Yanyu Zhang, Nianwen Ning, Yi Zhou   +4 more
openaire   +1 more source

Melody generation using LSTM and BI-LSTM Network

2021 International Conference on Computational Intelligence and Computing Applications (ICCICA), 2021
Satish Chikkamath, Nirmala S R
openaire   +1 more source

Convolutional LSTM

2021
Tom Eelbode, Pieter Sinonquel, Raf Bisschops, Frederik Maes   +3 more
openaire   +1 more source