Devdiscourse

Cyber-resilient electric mobility: AI shields EV charging stations from cyber-attacks

The electrification of transport is transforming not only how vehicles operate but how energy systems are managed. Modern EV ...
MarketersMEDIA Newsroom

Jun Ye Advances Neural Interface Technology Through Brain–Computer Systems and Generative AI

A neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG signal decoding, while an innovative generative AI ...
Devdiscourse

How AI transforms solar energy management and storage

According to the analysis, deep learning architectures such as Long Short-Term Memory (LSTM) networks and hybrid CNN-LSTM ...
Frontiers

Image steganalysis using LSTM fused convolutional neural networks for secure telemedicine

Deep learning-based image steganalysis has progressed in recent times, with efforts more concerted toward prioritizing detection accuracy over lightweight frameworks. In the context of AI-driven ...
Frontiers

A hybrid LSTM–transformer model for accurate remaining useful life prediction of lithium-ion batteries

With the widespread application of lithium-ion batteries in electric vehicles and energy storage systems, health monitoring and remaining useful life prediction have become critical components of ...
GitHub

Fault Detection in Turbofan Engines Using LSTM AutoEncoder and Fine-Tuned LLM

This project focuses on fault detection in turbofan engines using the NASA C-MAPSS (Commercial Modular Aero-Propulsion System Simulation) dataset, specifically the DS02 subset. The system combines ...
C&EN

Prediction of Flowing Bottomhole Pressure in Gas-Lifted Wells Using LSTM-ANN Models

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Scientific Research Publishing

Alrawais, A., Alhothaily, A., Hu, C. and Cheng, X. (2021) LSTM-Based Intrusion Detection for IoT Networks. IEEE Transactions on Network and Service Management, 18, 1712-1725.

ABSTRACT: The rapid proliferation of the Internet of Things (IoT) and Industrial IoT (IIoT) has revolutionized industries through enhanced connectivity and automation. However, this expansion has ...
Scientific Research Publishing

Enhancing Cybersecurity in IoT & IIoT: A Machine Learning Approach for Anomaly Detection ()

1 School of Technology, Computer Science & I.T Department, Njala University, Bo, Sierra Leone. 2 School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China. 3 School of Software ...
GitHub

Aikhusy/Progress-LSTM-AUTOENCODER

fw_load_avg_1_min fw_load_avg_5_min fw_load_avg_15_min fw_cpu_used mem_used root_used log_used fw_total_alloc model saya menemukan bahwa [31, 34, 47, 48, 49, 50, 51 ...