IEEE27d
Six Integration Avenues for ISAC in 6G and Beyond
Abstract: Integrated sensing and communication (ISAC) is a key technology for future 6G networks, enabling sensing and communication services by exploiting a single piece of equipment and waveform.
IEEE11d
Motion Planning and Control of Active Robot in Orthopedic Surgery by CDMP-based Imitation Learning and Constrained Optimization
Abstract: Current orthopedic surgical robots are widely used in pedicle screw implantation tasks due to their precise positioning capabilities. However, the surgical operation processes, including ...
IEEE9d
A simple model of feedback oscillator noise spectrum
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=5 ...
IEEE26d
Integral Reinforcement Learning-Based Dynamic Event-Triggered Nonzero-Sum Games of USVs
Abstract: In this article, an integral reinforcement learning (IRL) method is developed for dynamic event-triggered nonzero-sum (NZS) games to achieve the Nash equilibrium of unmanned surface vehicles ...
IEEE27d
Imitation Learning-Assisted Evolutionary Algorithm for Energy-Efficient Flexible Job Shop Scheduling Problem With Automated Guided Vehicles
Abstract: The flexible job shop scheduling problem with limited automatic guided vehicles (FJSP-AGV) is prevalent in manufacturing enterprises. To improve production efficiency and reduce energy ...
IEEE26d
Lightweight and Dynamic Privacy-Preserving Federated Learning via Functional Encryption
Abstract: Federated Learning (FL) is a distributed machine learning framework that allows multiple clients to collaboratively train an intermediate model with keeping data local, however, sensitive ...
IEEE23d
Stealthy Attacks on Sampled-Data Control and Encryption-Based Countermeasures
Abstract: This paper investigates stealthy attacks on sampled-data control systems, where a continuous process is sampled periodically, and the resultant discrete output and control signals are ...
IEEE27d
Automatic First Arrival Picking Based on Self-Similarity and Multicenter Fuzzy Clustering
Abstract: Accurate arrival time picking of microseismic events is crucial for understanding subsurface processes and assessing associated risks. However, the low signal-to-noise ratio (SNR) inherent ...
IEEE1mon
YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detection
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=34 ...
IEEE27d
Distributed Discrete-Time Dynamic Outer Approximation of the Intersection of Ellipsoids
Abstract: This paper presents the first discrete-time distributed algorithm to track the tightest ellipsoids that outer approximates the global dynamic intersection of ellipsoids. Given an undirected ...
IEEE24d
Optimization Design of Hybrid Resonance-Based Passive Shielding Coils for Low-Electromagnetic Field Leakage and High Efficiency in WPT System
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=41 ...
IEEE26d
Adaptive Event-Triggered Control Combined With High-Order Backstepping for Pure Feedback Nonlinear Systems
Abstract: The adaptive event-triggered control problem for a class of uncertain high-order pure feedback nonlinear systems (HOPFNSs) is considered. Different from the traditional backstepping method, ...