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Detection of diabetes from gas analysis of human breath using e-Nose
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s10470-011-9638-1openalex-snapshot
Electronic-nose for detecting environmental pollutants: signal processing and analog front-end design
inferredcites →https://doi.org/10.1016/j.dsp.2016.10.006openalex-snapshot
Compressive sensing based electronic nose platform
inferredcites →https://doi.org/10.1016/j.snb.2011.04.069openalex-snapshot
A background elimination method based on wavelet transform in wound infection detection by electronic nose
inferredcites →https://doi.org/10.1016/j.snb.2012.06.025openalex-snapshot
Non-invasive blood glucose monitoring for diabetics by means of breath signal analysis
inferredcites →https://doi.org/10.1109/icch.2012.6724490openalex-snapshot
A novel breath analysis system for diabetes diagnosis
inferredcites →https://doi.org/10.1109/iccsp.2015.7322639openalex-snapshot
Non- invasive diabetes detection and classification using breath analysis
inferredcites →https://doi.org/10.1109/isesd.2016.7886744openalex-snapshot
Gas concentration analysis of resistive gas sensor array
inferredcites →https://doi.org/10.1186/1744-8603-9-63openalex-snapshot
Challenges in diabetes management in Indonesia: a literature review
inferredcites →https://doi.org/10.1586/erm.11.31openalex-snapshot
Potential of breath and skin analysis for monitoring blood glucose concentration in diabetes
inferredcites →https://doi.org/10.15866/irecos.v11i8.9425openalex-snapshot
Sensor Array Optimization for Mobile Electronic Nose: Wavelet Transform and Filter Based Feature Selection Approach
inferredcites →https://doi.org/10.3390/s110101105openalex-snapshot
Advances in Electronic-Nose Technologies Developed for Biomedical Applications
inferredcites →https://doi.org/10.3390/s150715198openalex-snapshot
A Novel Feature Extraction Approach Using Window Function Capturing and QPSO-SVM for Enhancing Electronic Nose Performance
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/bmc.4956openalex-snapshot
Identification of metabolic markers in patients with type 2 Diabetes by Ultrafast gas chromatography coupled to electronic nose. A pilot study
inferred← citeshttps://doi.org/10.1007/978-3-030-72065-0_3openalex-snapshot
Artificial Olfaction for Detection and Classification of Gases Using e-Nose and Machine Learning for Industrial Application
inferred← citeshttps://doi.org/10.1007/s10660-020-09424-1openalex-snapshot
Estimating city-level poverty rate based on e-commerce data with machine learning
inferred← citeshttps://doi.org/10.1016/b978-0-12-816637-6.00011-7openalex-snapshot
Machine learning-based artificial nose on a low-cost IoT-hardware
inferred← citeshttps://doi.org/10.1016/b978-0-12-822548-6.00154-0openalex-snapshot
Volatile Organic Compound Exhaled Breath Sensing
inferred← citeshttps://doi.org/10.1016/j.bspc.2021.103060openalex-snapshot
A breathalyzer for the assessment of chronic kidney disease patients’ breathprint: Breath flow dynamic simulation on the measurement chamber and experimental investigation
inferred← citeshttps://doi.org/10.1016/j.cca.2025.120205openalex-snapshot
Application of volatilomic analysis by electronic nose for the detection of women with preeclampsia at high risk of developing chronic kidney disease
inferred← citeshttps://doi.org/10.1016/j.compag.2019.01.001openalex-snapshot
Noise filtering framework for electronic nose signals: An application for beef quality monitoring
inferred← citeshttps://doi.org/10.1016/j.compag.2022.106838openalex-snapshot
The effect of gas concentration on detection and classification of beef and pork mixtures using E-nose
inferred← citeshttps://doi.org/10.1016/j.imu.2020.100482openalex-snapshot
A comparative analysis on diagnosis of diabetes mellitus using different approaches – A survey
inferred← citeshttps://doi.org/10.1016/j.procs.2017.12.145openalex-snapshot
Estimating Gas Concentration using Artificial Neural Network for Electronic Nose
inferred← citeshttps://doi.org/10.1016/j.sbsr.2020.100371openalex-snapshot
Deep learning in a sensor array system based on the distribution of volatile compounds from meat cuts using GC–MS analysis
inferred← citeshttps://doi.org/10.1016/j.sbsr.2022.100492openalex-snapshot
Adaptive Filter for Detection Outlier Data on Electronic Nose Signal
inferred← citeshttps://doi.org/10.1016/j.sbsr.2022.100495openalex-snapshot
Ensemble machine learning approach for electronic nose signal processing
inferred← citeshttps://doi.org/10.1016/j.snb.2020.128931openalex-snapshot
DWTLSTM for electronic nose signal processing in beef quality monitoring
inferred← citeshttps://doi.org/10.1016/j.snb.2024.135550openalex-snapshot
The effect of high ethanol concentration on E-nose response for diabetes detection in exhaled breath: Laboratory studies
inferred← citeshttps://doi.org/10.1088/1742-6596/1201/1/012003openalex-snapshot
E-Nose Sensor Array Optimization Based on Volatile Compound Concentration Data
inferred← citeshttps://doi.org/10.1088/1752-7163/abc09bopenalex-snapshot
Adsorption kinetics feature extraction from breathprint obtained by graphene based sensors for diabetes diagnosis
inferred← citeshttps://doi.org/10.1088/1752-7163/ac4916openalex-snapshot
Review of the algorithms used in exhaled breath analysis for the detection of diabetes
inferred← citeshttps://doi.org/10.1088/2631-8695/ac6487openalex-snapshot
ANN based approach for selective detection of breath acetone by using hybrid GO-FET sensor array
inferred← citeshttps://doi.org/10.1109/access.2020.2974982openalex-snapshot
Stability Assessment of Feature Selection Algorithms on Homogeneous Datasets: A Study for Sensor Array Optimization Problem
inferred← citeshttps://doi.org/10.1109/access.2022.3173736openalex-snapshot
Detection of Infectious Respiratory Disease Through Sweat From Axillary Using an E-Nose With Stacked Deep Neural Network
inferred← citeshttps://doi.org/10.1109/andescon50619.2020.9272091openalex-snapshot
Gas Source Localization of possible dangerous chemical substances by combining a dispersion map using Structural Similarity Index
inferred← citeshttps://doi.org/10.1109/apwimob51111.2021.9435229openalex-snapshot
K-Nearest Neighbors Algorithm for Prediction Shelf Life of Rice Based on Electronic Nose Dataset
inferred← citeshttps://doi.org/10.1109/apwimob51111.2021.9435273openalex-snapshot
Men and Women Classification at Night Through the Armpit Sweat Odor using Electronic Nose
inferred← citeshttps://doi.org/10.1109/embc58623.2025.11254115openalex-snapshot
A novel ergodic sequential logic olfactory bulb model towards hardware-efficient electronic nose
inferred← citeshttps://doi.org/10.1109/iaict62357.2024.10617596openalex-snapshot
Predicting Green Tea Organoleptic Scores Based on Electronic Nose Dataset using Boosting Algorithms
inferred← citeshttps://doi.org/10.1109/iaict62357.2024.10617756openalex-snapshot
Prediction of Green Tea Organoleptic Scores Based on Electronic Nose Dataset Using Bagging Algorithms
inferred← citeshttps://doi.org/10.1109/icoict66265.2025.11193068openalex-snapshot
Electronic Nose for Organoleptic Score Prediction of Gambung Green Tea Using Optimized Regression Algorithms
inferred← citeshttps://doi.org/10.1109/iconnic59854.2023.10467988openalex-snapshot
Optimal Feature Selection Algorithm (FSA) for Electronic Nose Signal
inferred← citeshttps://doi.org/10.1109/icts52701.2021.9608597openalex-snapshot
Classification and Gas Concentration Measurements of Human Axillary Odor using Electronic Nose
inferred← citeshttps://doi.org/10.1109/isesd53023.2021.9501909openalex-snapshot
An Approach to Classify Rice Quality using Electronic Nose Dataset-based Naïve Bayes Classifier
inferred← citeshttps://doi.org/10.1109/jsen.2020.3000756openalex-snapshot
Information-Theoretic Ensemble Feature Selection With Multi-Stage Aggregation for Sensor Array Optimization
inferred← citeshttps://doi.org/10.1109/jsen.2022.3178996openalex-snapshot
Precise Detection and Quantitative Prediction of Blood Glucose Level With an Electronic Nose System
inferred← citeshttps://doi.org/10.1109/jsen.2023.3337264openalex-snapshot
Electronic Nose and Optimized Machine Learning Algorithms for Noninfused Aroma-Based Quality Identification of Gambung Green Tea
inferred← citeshttps://doi.org/10.1142/s0219519423500082openalex-snapshot
A NON-INVASIVE BLOOD GLUCOSE MONITORING FOR DIABETICS WITH BREATH BIOMARKERS: AN ENSEMBLE-OF-CLASSIFIERS MODEL
inferred← citeshttps://doi.org/10.1149/1945-7111/acc557openalex-snapshot
Multi-feature Optimization of a Gas Sensor Array to Improve Component and Concentration Detection Performance of VOC Mixtures
inferred← citeshttps://doi.org/10.11591/ijece.v9i2.pp1036-1044openalex-snapshot
Music fingerprinting based on bhattacharya distance for song and cover song recognition
inferred← citeshttps://doi.org/10.11591/ijeecs.v19.i3.pp1626-1634openalex-snapshot
Temperature effect of electronic nose sampling for classifying mixture of beef and pork
inferred← citeshttps://doi.org/10.12928/telkomnika.v17i1.10565openalex-snapshot
Recent development in electronic nose data processing for beef quality assessment
inferred← citeshttps://doi.org/10.1530/ec-22-0437openalex-snapshot
A preliminary screening system for diabetes based on in-car electronic nose
inferred← citeshttps://doi.org/10.22266/ijies2019.1231.08openalex-snapshot
Optimizing Threshold using Pearson Correlation for Selecting Features of Electronic Nose Signals
inferred← citeshttps://doi.org/10.22266/ijies2020.0831.06openalex-snapshot
Detection and Classification of Indonesian Civet and Non-Civet Coffee Based on Statistical Analysis Comparison Using E-Nose
inferred← citeshttps://doi.org/10.22266/ijies2022.1031.52openalex-snapshot
Electronic Nose Signals for Analysing Similarity of Male and Female Axillary Odour to Food Material Aroma
inferred← citeshttps://doi.org/10.22266/ijies2023.0831.42openalex-snapshot
Data Augmentation Technique Using Two Step SMOTE for Electronic-nose Signal in Breath Ketone Level Detection
inferred← citeshttps://doi.org/10.3390/chemosensors13020040openalex-snapshot
An Electronic Nose Analysis of the Headspace from Extra-Virgin Olive Oil–Saliva Interactions and Its Ability to Differentiate Between Individuals Based on Body Mass Index
inferred← citeshttps://doi.org/10.3390/s21124187openalex-snapshot
Artificial Breath Classification Using XGBoost Algorithm for Diabetes Detection
inferred← citeshttps://doi.org/10.3390/s21165440openalex-snapshot
Non-Invasive Detection and Staging of Colorectal Cancer Using a Portable Electronic Nose
inferred← citeshttps://doi.org/10.3844/jcssp.2021.1071.1084openalex-snapshot
A Review of Technological Progression from Radiomics to Breathomics for Early Detection of Lung Cancer
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