:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Li, Shilei, Li, Lijing, Shi, Dawei, Lou, Yunjiang, Shi, Ling
Format:	Preprint
Publié:	2023
Sujets:	Systems and Control Machine Learning Signal Processing
Accès en ligne:	https://arxiv.org/abs/2304.06548
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A New Method for Sensorless Estimation of the Speed and Position in Brushed DC Motors Using Support Vector Machines
par: Vazquez-Sanchez, Ernesto, et autres
Publié: (2024)

CNN-based Compressor Mass Flow Estimator in Industrial Aircraft Vapor Cycle System
par: Reverdi, Justin, et autres
Publié: (2024)

Short-term power load forecasting method based on CNN-SAEDN-Res
par: Cui, Yang, et autres
Publié: (2023)

Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks
par: Song, Zhuoqing, et autres
Publié: (2021)

Fault Prognosis of Turbofan Engines: Eventual Failure Prediction and Remaining Useful Life Estimation
par: Cohen, Joseph, et autres
Publié: (2023)

From Target Tracking to Targeting Track -- Part III: Stochastic Process Modeling and Online Learning
par: Li, Tiancheng, et autres
Publié: (2025)

DANSE: Data-driven Non-linear State Estimation of Model-free Process in Unsupervised Learning Setup
par: Ghosh, Anubhab, et autres
Publié: (2023)

Lab-scale Vibration Analysis Dataset and Baseline Methods for Machinery Fault Diagnosis with Machine Learning
par: Atmaja, Bagus Tris, et autres
Publié: (2022)

Deep Learning for Multi-Antenna Modulation Recognition of Radio Signals
par: Chen, Tao, et autres
Publié: (2026)

Dual NUP Representations and Min-Maximization in Factor Graphs
par: Li, Yun-Peng, et autres
Publié: (2025)

From Target Tracking to Targeting Track -- Part I: A Metric for Spatio-Temporal Trajectory Evaluation
par: Li, Tiancheng, et autres
Publié: (2025)

Shapley-based Explainable AI for Clustering Applications in Fault Diagnosis and Prognosis
par: Cohen, Joseph, et autres
Publié: (2023)

Sum Throughput Maximization in Multi-BD Symbiotic Radio NOMA Network Assisted by Active-STAR-RIS
par: Yeganeh, Rahman Saadat, et autres
Publié: (2024)

Integrated Communication and Control for Energy-Efficient UAV Swarms: A Multi-Agent Reinforcement Learning Approach
par: Sun, Tianjiao, et autres
Publié: (2025)

Sample Complexity of the Sign-Perturbed Sums Method
par: Szentpéteri, Szabolcs, et autres
Publié: (2024)

Dynamic Interactional And Cooperative Network For Shield Machine
par: Gao, Dazhi, et autres
Publié: (2022)

RMSup: Physics-Informed Radio Map Super-Resolution for Compute-Enhanced Integrated Sensing and Communications
par: Zhang, Qiming, et autres
Publié: (2025)

Do Spatial Descriptors Improve Multi-DoF Finger Movement Decoding from HD sEMG?
par: Molinari, Ricardo Gonçalves, et autres
Publié: (2025)

Concentration inequalities for semidefinite least squares based on data
par: Fabiani, Filippo, et autres
Publié: (2025)

String-Level Ground Fault Localization for TN-Earthed Three-Phase Photovoltaic Systems
par: Li, Yuanliang, et autres
Publié: (2026)

A multi-scale lithium-ion battery capacity prediction using mixture of experts and patch-based MLP
par: Lei, Yuzhu, et autres
Publié: (2025)

A novel ANROA based control approach for grid-tied multi-functional solar energy conversion system
par: Prasad, Dinanath, et autres
Publié: (2024)

Statistical Study of Sensor Data and Investigation of ML-based Calibration Algorithms for Inexpensive Sensor Modules: Experiments from Cape Point
par: Barrett, Travis, et autres
Publié: (2025)

Data Distribution Dynamics in Real-World WiFi-Based Patient Activity Monitoring for Home Healthcare
par: Monjur, Mahathir, et autres
Publié: (2024)

Sensor Design for Accuracy-Bounded Estimation via Maximum-Entropy Likelihood Synthesis
par: Bhattacharya, Raktim
Publié: (2026)

Multi-Modal Semantic Communication
par: Mortaheb, Matin, et autres
Publié: (2025)

Universal Approximation of Linear Time-Invariant (LTI) Systems through RNNs: Power of Randomness in Reservoir Computing
par: Jere, Shashank, et autres
Publié: (2023)

Digital Twin Assisted Deep Reinforcement Learning for Online Admission Control in Sliced Network
par: Tao, Zhenyu, et autres
Publié: (2023)

Transferable Deep Learning Power System Short-Term Voltage Stability Assessment with Physics-Informed Topological Feature Engineering
par: Feng, Zijian, et autres
Publié: (2023)

Fast dynamic time warping and clustering in C++
par: Kumtepeli, Volkan, et autres
Publié: (2023)

Catching Contamination Before Generation: Spectral Kill Switches for Agents
par: Noël, Valentin
Publié: (2025)

Neural Augmented Kalman Filters for Road Network assisted GNSS positioning
par: van Gorp, Hans, et autres
Publié: (2025)

Joint Energy Management and Coordinated AIGC Workload Scheduling for Distributed Data Centers: A Diffusion-Aided Reward Shaping Approach
par: Fu, Yang, et autres
Publié: (2026)

Applying Fine-Tuned LLMs for Reducing Data Needs in Load Profile Analysis
par: Hu, Yi, et autres
Publié: (2024)

Learning Genetic Circuit Modules with Neural Networks: Full Version
par: Wang, Jichi, et autres
Publié: (2025)

Heterogeneous Graph Neural Networks for Short-term State Forecasting in Power Systems across Domains and Time Scales: A Hydroelectric Power Plant Case Study
par: Theiler, Raffael, et autres
Publié: (2025)

Erasing Noise in Signal Detection with Diffusion Model: From Theory to Application
par: Wang, Xiucheng, et autres
Publié: (2025)

AI-Powered Dynamic Fault Detection and Performance Assessment in Photovoltaic Systems
par: Salazar-Pena, Nelson, et autres
Publié: (2024)

VersaPants: A Loose-Fitting Textile Capacitive Sensing System for Lower-Body Motion Capture
par: Kasap, Deniz, et autres
Publié: (2025)

Graph Koopman Autoencoder for Predictive Covert Communication Against UAV Surveillance
par: Krishnan, Sivaram, et autres
Publié: (2024)