Journal of Signal and Information Processing

Journal of Signal and Information Processing

ISSN Print: 2159-4465
ISSN Online: 2159-4481
www.scirp.org/journal/jsip
E-mail: jsip@scirp.org
"A Fuzzy Controller for Blood Glucose-Insulin System"
written by Ahmed Y. Ben Sasi, Mahmud A. Elmalki,
published by Journal of Signal and Information Processing, Vol.4 No.2, 2013
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] Computer-controlled diabetes disease diagnosis technique based on fuzzy inference structure for insulin-dependent patients
Applied Intelligence, 2022
[2] A review on artificial pancreas and regenerative medicine used in the management of Type 1 diabetes mellitus
Journal of Medical Engineering …, 2022
[3] A methodical survey of mathematical model-based control techniques based on open and closed loop control approach for diabetes management
International Journal of …, 2022
[4] Sliding‐mode‐based controllers for automation of blood glucose concentration for type 1 diabetes
IET Systems Biology, 2021
[5] An adaptive back-stepping control for blood glucose regulation in type 1 diabetes
2021
[6] Prediction of Speed for Smart Insulin Pump Utilizing Adaptive Neuro-fuzzy Inference System and ANN
2021
[7] Terminal Synergetic and State Feedback Linearization Based Controllers for Artificial Pancreas in Type 1 Diabetic Patients
2021
[8] Sliding Mode based controllers for automation of blood glucose concentration for Type-1 diabetes
2021
[9] Identifier based intelligent blood glucose concentration regulation for type 1 diabetic patients: An adaptive fuzzy approach
2020
[10] A proposed health monitoring system using fuzzy inference system
2020
[11] A Review of Advances in Modeling and Prediction of Blood Glucose Level in Diabetes Mellitus
2019
[12] Integral Backstepping Based Automated Control of Blood Glucose in Diabetes Mellitus Type 1 Patients
2019
[13] Design of an online-tuned model based compound controller for a fully automated artificial pancreas
2019
[14] A Coupled Insulin and Meal Effect Neuro-Fuzzy Model for The Prediction of Blood Glucose Level in Type 1 Diabetes Mellitus Patients.
2019
[15] Evolution of Diabetic Control Identification in Lieu of Continuous Glucose Monitoring Technology- A Review
Advanced Engineering Research and Applications, 2018
[16] A novel and superior approach to diabetic management: utilization of a fuzzy-logic based system for precision insulin dosing in type 2 diabetes patients
2018
[17] Evaluation of an artificial pancreas in in silico patients with online-tuned internal model control
Biomedical Signal Processing and Control, 2018
[18] Fuzzy Nutrition Recommendation System for Diabetic Patients
Intelligent Communication, Control and Devices, 2018
[19] Optimal Model Based Control for Blood Glucose Insulin System Using Continuous Glucose Monitoring
2017
[20] Diabetes type-1 insulin level control using closed loop control of BLDC motor
Advances in Natural and Applied Sciences, 2017
[21] Evolution of Diabetic Control Identification in Lieu of Continuous Glucose Monitoring Technology-A Review
International Journal of Applied Engineering Research [IJAER], 2017
[22] Design Fuzzy Control System for Blood Glucose Level for Type-I Diabetes Mellitus Patients Using GA A Simulation Study ميمصت لام‎
2017
[23] design fuzzy control system for blood glucose level for type-1 diabetes melitus patients using ga a simulation study
2017
[24] Evaluation of an artificial pancreas in in silico patients with online‑tuned internal model control
2017
[25] Performance Analysis of Fuzzy-PID Controller for Blood Glucose Regulation in Type-1 Diabetic Patients
Journal of Medical Systems, 2016
[26] A new insulin-glucose metabolic model of type 1 diabetes mellitus: An in silico study
Computer methods and programs in biomedicine, 2015
[27] Design of PSO Based Robust Blood Glucose Control in Diabetic Patients
APDHI Ali - uotechnology.edu.iq, 2014
[28] Fischer–Tropsch synthesis on cobalt–manganese nanocatalyst: studies on rate equations and operation conditions
International Journal of Industrial Chemistry, 2014
Free SCIRP Newsletters
Copyright © 2006-2024 Scientific Research Publishing Inc. All Rights Reserved.
Top