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An efficient moving object tracking framework for WSNs using sequence-to-sequence learning model
Wireless sensors can detect an object from the light it reflects, the noise it causes, or the gas molecules it disseminates. However, tracking a...
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DEMD-IoT: a deep ensemble model for IoT malware detection using CNNs and network traffic
Malware detection has recently emerged as a significant challenge on the Internet of Things (IoT) security domain. Due to the increasing complexity...
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MusicEmo: transformer-based intelligent approach towards music emotion generation and recognition
The paper proposes a novel approach called MusicEmo, a transformer-based intelligent system for music emotion generation and recognition. The paper...
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Model-free Adaptive Tracking Control for Networked Control Systems Under DoS Attacks and RTT Delays
The model-free adaptive secure tracking control (MFASTC) problem of nonlinear networked control systems is explored in this paper with the...
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Performance Analysis of Information Time-delay Systems with Bandwidth Constraints and Channel Noise
In this paper, the performance limitation of information time-delay systems under bandwidth and channel noise constraints are investigated. The...
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A network intrusion detection framework on sparse deep denoising auto-encoder for dimensionality reduction
In today's internet-driven world, a multitude of attacks occurs daily, propelled by a vast user base. The effective detection of these numerous...
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Optimal Control and Stabilization for Networked Control Systems Subject to Intermittent Observations and One-step Delayed Measurement
This paper concerns the control problem for networked control systems (NCSs) with local and remote controllers (LRC) subject to one-step delay and...
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A green computing method for encrypted IoT traffic recognition based on traffic fingerprint graphs
The Internet of Things (IoT) is a revolutionary technological trend that is resha** the way people interact with the digital world, creating...
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Event-Triggered Data-Driven Iterative Learning Control
Event-triggered control (ETC) means to execute the control task after the event occurs, rather than after a certain fixed period of time, where the...
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Adaptive Event-triggered H2/H∞ Control for Uncertain Networked Systems With Hybrid Cyber Attacks and Imperfect Network
This article studies an adaptive event-triggered H 2 / H ∞ control problem for the uncertain networked control systems (NCSs) with hybrid cyber attacks...
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SINR Communication Based Fast Predictive Control for CPSs Under DoS Attacks
In this paper, an effective security control algorithm is proposed for a class of dual-rate cyber physical systems (CPSs) with denial-of-service...
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Fixed-time Integral Terminal Sliding Mode Control for Vehicle Platoon With Prescribed Performance
This article investigates a fixed-time integral terminal sliding mode (FITSM) control method for a longitudinal vehicle platoon consisting of a...
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Leveraging Artificial Neural Networks and LightGBM for Enhanced Intrusion Detection in Automotive Systems
Connected components in automobiles face cybersecurity threats if not adequately protected. The Controller Area Network (CAN), the primary...
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Anomaly Based Network Intrusion Detection System for IoT
In the last two decades, efforts are being made to promote technology by enabling the usage of tools and technical skills without any barrier, which...
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Neural Network Architectures for Speech Quality Prediction
In this chapter, different neural network architectures are investigated for their suitability to predict speech quality. The neural network...
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Dual-Statistics Analysis with Motion Augmentation for Activity Recognition with COTS WiFi
In recent years, WiFi signal based activity recognition attracts attention in the community. One traction is the ubiquity of WiFi devices. The...
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Condition Monitoring and Fault Diagnosis of Induction Motor using DWT and ANN
This paper presents an efficient approach to estimate the failures of various components in an induction motor using motor current signature...
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A target behavior pattern mining and abnormal behavior monitoring based on multidimensional similarity metric
In recent years, electromagnetic spectrum has become an indispensable national strategic resource in the information age and an important strategic...
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Development of a MIot Gait Tracking Platform
Gait studies require a way to acquire data that provides details about how a particular activity is performed, such as walking or running. In this...
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Adaptive Event-Triggered Fuzzy Control for Unreliable Networked Control Systems with Time-Varying Delay
This paper aims to investigate an adaptive event-triggered control scheme for unreliable networked control systems with data loss, transmission...
