相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。ADARC: An anomaly detection algorithm based on relative outlier distance and biseries correlation
Cun Ji et al.
SOFTWARE-PRACTICE & EXPERIENCE (2020)
Hybrid Anomaly Detection by Using Clustering for Wireless Sensor Network
Bilal Ahmad et al.
WIRELESS PERSONAL COMMUNICATIONS (2019)
Ocean Data Anomaly Detection Algorithm Based on Improved k-medoids
Jiang Hua et al.
2019 ELEVENTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI 2019) (2019)
An automatic glucose monitoring signal denoising method with noise level estimation and responsive filter updating
Hong Zhao et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2018)
Artificial Pancreas Systems AN INTRODUCTION TO THE SPECIAL ISSUE
Ali Cinar
IEEE CONTROL SYSTEMS MAGAZINE (2018)
Hybrid Online Multi-Sensor Error Detection and Functional Redundancy for Artificial Pancreas Control Systems
Jianyuan Feng et al.
IFAC PAPERSONLINE (2018)
Real-Time Model-Based Fault Detection of Continuous Glucose Sensor Measurements
Kamuran Turksoy et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2017)
Hybrid online sensor error detection and functional redundancy for systems with time-varying parameters
Jianyuan Feng et al.
JOURNAL OF PROCESS CONTROL (2017)
Distance and Density Clustering for Time Series Data
Ruizhe Ma et al.
2017 17TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW 2017) (2017)
Fuzzy Kernel k-Medoids Algorithm for Anomaly Detection Problems
Z. Rustam et al.
INTERNATIONAL SYMPOSIUM ON CURRENT PROGRESS IN MATHEMATICS AND SCIENCES 2016 (ISCPMS 2016) (2017)
Multivariable Adaptive Artificial Pancreas System in Type 1 Diabetes
Ali Cinar
CURRENT DIABETES REPORTS (2017)
Modeling Transient Disconnections and Compression Artifacts of Continuous Glucose Sensors
Andrea Facchinetti et al.
DIABETES TECHNOLOGY & THERAPEUTICS (2016)
An Automatic Denoising Method with Estimation of Noise Level and Detection of Noise Variability in Continuous Glucose Monitoring
Hong Zhao et al.
IFAC PAPERSONLINE (2016)
Statistical analysis based online sensor failure detection for continuous glucose monitoring in type I diabetes
Chunhui Zhao et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2015)
Mixture model selection via hierarchical BIC
Jianhua Zhao et al.
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2015)
Time-series clustering - A decade review
Saeed Aghabozorgi et al.
INFORMATION SYSTEMS (2015)
Principal component analysis in combination with case-based reasoning for detecting therapeutically correct and incorrect measurements in continuous glucose monitoring systems
Yenny Leal et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2013)
Fuzzy and hard clustering analysis for thyroid disease
Ahmad Taher Azar et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2013)
Closed-Loop Basal Insulin Delivery Over 36 Hours in Adolescents With Type 1 Diabetes
Daniela Elleri et al.
DIABETES CARE (2013)
Multivariable Adaptive Closed-Loop Control of an Artificial Pancreas Without Meal and Activity Announcement
Kamuran Turksoy et al.
DIABETES TECHNOLOGY & THERAPEUTICS (2013)
An Online Failure Detection Method of the Glucose Sensor-Insulin Pump System: Improved Overnight Safety of Type-1 Diabetic Subjects
Andrea Facchinetti et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2013)
Closed-Loop Insulin Delivery Using a Subcutaneous Glucose Sensor and Intraperitoneal Insulin Delivery Feasibility study testing a new model for the artificial pancreas
Eric Renard et al.
DIABETES CARE (2010)
Manual closed-loop insulin delivery in children and adolescents with type 1 diabetes: a phase 2 randomised crossover trial
Roman Hovorka et al.
LANCET (2010)
In Silico Evaluation Platform for Artificial Pancreatic β-Cell Development-A Dynamic Simulator for Closed-Loop Control with Hardware-in-the-Loop
Eyal Dassau et al.
DIABETES TECHNOLOGY & THERAPEUTICS (2009)
A simple and fast algorithm for K-medoids clustering
Hae-Sang Park et al.
EXPERT SYSTEMS WITH APPLICATIONS (2009)
Top 10 algorithms in data mining
Xindong Wu et al.
KNOWLEDGE AND INFORMATION SYSTEMS (2008)
A review of process fault detection and diagnosis Part II: Quantitative model and search strategies
V Venkatasubramanian et al.
COMPUTERS & CHEMICAL ENGINEERING (2003)
A review of process fault detection and diagnosis Part III: Process history based methods
V Venkatasubramanian et al.
COMPUTERS & CHEMICAL ENGINEERING (2003)
A review of process fault detection and diagnosis Part I: Quantitative model-based methods
V Venkatsubramanian et al.
COMPUTERS & CHEMICAL ENGINEERING (2003)
Constructive feedforward ART clustering networks - Part I
A Baraldi et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2002)