Cover Image

Statistical Study of Sensor Data and Investigation of ML-based Calibration Algorithms for Inexpensive Sensor Modules: Experiments from Cape Point

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Barrett, Travis, Mishra, Amit Kumar
Format:	Preprint
Published:	2025
Subjects:	Signal Processing Machine Learning Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Agile Climate-Sensor Design and Calibration Algorithms Using Machine Learning: Experiments From Cape Point
by: Barrett, Travis, et al.
Published: (2025)

Unmasking the Role of Remote Sensors in Comfort, Energy and Demand Response
by: Mulayim, Ozan Baris, et al.
Published: (2024)

Inverse Cubature and Quadrature Kalman filters
by: Singh, Himali, et al.
Published: (2023)

Inverse Unscented Kalman Filter
by: Singh, Himali, et al.
Published: (2023)

Inverse Particle Filter
by: Singh, Himali, et al.
Published: (2024)

Calibrated Unsupervised Anomaly Detection in Multivariate Time-series using Reinforcement Learning
by: Sanami, Saba, et al.
Published: (2025)

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

Deep Learning for Multi-Antenna Modulation Recognition of Radio Signals
by: Chen, Tao, et al.
Published: (2026)

Learning Genetic Circuit Modules with Neural Networks: Full Version
by: Wang, Jichi, et al.
Published: (2025)

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation
by: Lin, Juntao, et al.
Published: (2025)

A novel ANROA based control approach for grid-tied multi-functional solar energy conversion system
by: Prasad, Dinanath, et al.
Published: (2024)

A Novel Combined Data-Driven Approach for Electricity Theft Detection
by: Zheng, Kedi, et al.
Published: (2024)

Applying Fine-Tuned LLMs for Reducing Data Needs in Load Profile Analysis
by: Hu, Yi, et al.
Published: (2024)

Dynamics of a Towed Cable with Sensor-Array for Underwater Target Motion Analysis
by: Singh, Rohit Kumar, et al.
Published: (2024)

DANSE: Data-driven Non-linear State Estimation of Model-free Process in Unsupervised Learning Setup
by: Ghosh, Anubhab, et al.
Published: (2023)

Data Distribution Dynamics in Real-World WiFi-Based Patient Activity Monitoring for Home Healthcare
by: Monjur, Mahathir, et al.
Published: (2024)

Shapley-based Explainable AI for Clustering Applications in Fault Diagnosis and Prognosis
by: Cohen, Joseph, et al.
Published: (2023)

Tiny Machine Learning for Real-Time Aquaculture Monitoring: A Case Study in Morocco
by: Hsain, Achraf, et al.
Published: (2026)

Graph Neural Networks for Electric and Hydraulic Data Fusion to Enhance Short-term Forecasting of Pumped-storage Hydroelectricity
by: Theiler, Raffael, et al.
Published: (2024)

Multi-kernel Correntropy-based Orientation Estimation of IMUs: Gradient Descent Methods
by: Li, Shilei, et al.
Published: (2023)

Short-term power load forecasting method based on CNN-SAEDN-Res
by: Cui, Yang, et al.
Published: (2023)

CNN-based Compressor Mass Flow Estimator in Industrial Aircraft Vapor Cycle System
by: Reverdi, Justin, et al.
Published: (2024)

Joint Energy Management and Coordinated AIGC Workload Scheduling for Distributed Data Centers: A Diffusion-Aided Reward Shaping Approach
by: Fu, Yang, et al.
Published: (2026)

Hypergraph Contrastive Sensor Fusion for Multimodal Fault Diagnosis in Induction Motors
by: Ali, Usman, et al.
Published: (2025)

A multi-scale lithium-ion battery capacity prediction using mixture of experts and patch-based MLP
by: Lei, Yuzhu, et al.
Published: (2025)

Data-Induced Interactions of Sparse Sensors Using Statistical Physics
by: Klishin, Andrei A., et al.
Published: (2023)

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

Concentration inequalities for semidefinite least squares based on data
by: Fabiani, Filippo, et al.
Published: (2025)

Network Resource Optimization for ML-Based UAV Condition Monitoring with Vibration Analysis
by: Gemayel, Alexandre, et al.
Published: (2025)

Online Identification of Stochastic Continuous-Time Wiener Models Using Sampled Data
by: Abdalmoaty, Mohamed, et al.
Published: (2024)

A General-Purpose Neuromorphic Sensor based on Spiketrum Algorithm: Hardware Details and Real-life Applications
by: Alsakkal, MHD Anas, et al.
Published: (2025)

A Pioneering Roadmap for ML-Driven Algorithmic Advancements in Electrical Networks
by: Cremer, Jochen L., et al.
Published: (2024)

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

Neural Augmented Kalman Filters for Road Network assisted GNSS positioning
by: van Gorp, Hans, et al.
Published: (2025)

From Target Tracking to Targeting Track -- Part I: A Metric for Spatio-Temporal Trajectory Evaluation
by: Li, Tiancheng, et al.
Published: (2025)

From Target Tracking to Targeting Track -- Part III: Stochastic Process Modeling and Online Learning
by: Li, Tiancheng, et al.
Published: (2025)

Do Spatial Descriptors Improve Multi-DoF Finger Movement Decoding from HD sEMG?
by: Molinari, Ricardo Gonçalves, et al.
Published: (2025)

Fault Prognosis of Turbofan Engines: Eventual Failure Prediction and Remaining Useful Life Estimation
by: Cohen, Joseph, et al.
Published: (2023)

Erasing Noise in Signal Detection with Diffusion Model: From Theory to Application
by: Wang, Xiucheng, et al.
Published: (2025)

Universal Approximation of Linear Time-Invariant (LTI) Systems through RNNs: Power of Randomness in Reservoir Computing
by: Jere, Shashank, et al.
Published: (2023)