[HTML][HTML] GA-mADAM-IIoT: A new lightweight threats detection in the industrial IoT via genetic algorithm with attention mechanism and LSTM on multivariate time series …
Abstract The Industrial Internet of Things (IIoT) is undergoing rapid development, and as a
result, security threats have emerged as a significant concern. IIoT networks, while …
result, security threats have emerged as a significant concern. IIoT networks, while …
[HTML][HTML] Adaptive threshold based outlier detection on IoT sensor data: A node-level perspective
MV Brahmam, S Gopikrishnan - Alexandria Engineering Journal, 2024 - Elsevier
The accuracy and reliability of IoT-based sensor networks depend on validating sensed
data, including detecting outliers at the node level. This study proposes an online outlier …
data, including detecting outliers at the node level. This study proposes an online outlier …
[HTML][HTML] Design and implementation of privacy-preserving federated learning algorithm for consumer IoT
B Zhao, YY Ji, Y Shi, X Jiang - Alexandria Engineering Journal, 2024 - Elsevier
Home appliance manufacturers are increasingly focusing on building smarter home systems
by incorporating user feedback to enhance products and services. To support this, we …
by incorporating user feedback to enhance products and services. To support this, we …
DBO-CNN-BiLSTM: Dung Beetle Optimization Algorithm-Based Thrust Estimation for Micro-Aero Engine
B Lei, H Huang, G Chen, J Liang, H Long - Aerospace, 2024 - mdpi.com
Thrust constitutes a pivotal performance parameter for aircraft engines. Thrust, being an
indispensable parameter in control systems, has garnered significant attention, prompting …
indispensable parameter in control systems, has garnered significant attention, prompting …
Exploring the Efficacy of Various Machine Learning Approaches for Gold Price Forecasting: Insights and Analysis
S Narendran - 2024 7th International Conference on Circuit …, 2024 - ieeexplore.ieee.org
The increasing prominence of Artificial Intelligence (AI) or machine learning in data analysis,
particularly in Gold price forecasting, is explored in this article. With a specific focus on …
particularly in Gold price forecasting, is explored in this article. With a specific focus on …
An Efficient CNN+ Sparse Transformer-Based Intrusion Detection Method for IoT
Y Zhang, Y Fan, Z Guo, H Ma, Q Guan, W Jiang… - … on Intelligent Computing, 2024 - Springer
The burgeoning proliferation of Internet of Things (IoT) devices escalates concerns over
network security. Intrusion detection, crucial for IoT security, frequently employs deep …
network security. Intrusion detection, crucial for IoT security, frequently employs deep …
Advancements and Challenges in the Intersection of Machine Learning and IoT Security
S Chithaluri - 2024 - search.proquest.com
The proliferation of IoT devices in various sectors, such as healthcare, industrial systems,
and residential areas, presents unique security vulnerabilities that conventional security …
and residential areas, presents unique security vulnerabilities that conventional security …
Analysis Of Traffic Sign Recognition Using Artificial Neural Network Algorithm Compared With Accuracy Of Recurrent Neural Networks
P Amos, S Narendran… - 2024 9th International …, 2024 - ieeexplore.ieee.org
The purpose of this work is to improve Traffic sign recognition using machine learning to
improve comprehension of traffic signs. The Novel Artificial Neural Network (ANN) method is …
improve comprehension of traffic signs. The Novel Artificial Neural Network (ANN) method is …