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Recent Advancements and Future Prospects on E-Nose Sensors Technology and Machine Learning Approaches for Non-Invasive Diabetes Diagnosis: A Review

https://doi.org/10.1109/rbme.2020.2993591

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FEDA: A Nonlinear Subspace Projection Approach for Electronic Nose Data Classification

inferred← citeshttps://doi.org/10.1109/tim.2025.3547517openalex-snapshot

A Review on Application of Machine Learning Techniques Coupled With E-Nose in Healthcare, Agriculture, and Allied Domains

inferred← citeshttps://doi.org/10.1109/tmtt.2023.3305049openalex-snapshot

Coaxial Cable Sensing: Review and Perspective

inferred← citeshttps://doi.org/10.1109/worldsuas66815.2025.11199258openalex-snapshot

A Performance Benchmark of Classical and Ensemble ML Techniques in Diabetes Risk Detection

inferred← citeshttps://doi.org/10.1142/s0218001424590158openalex-snapshot

DPDCD: The Intelligent Prediction Strategy for the Course Development of Diabetic Kidney Disease

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/10.1155/2023/8847929openalex-snapshot

Sensor Array System Based on Electronic Nose to Detect Borax in Meatballs with Artificial Neural Network

inferred← citeshttps://doi.org/10.11591/ijece.v14i2.pp2035-2042openalex-snapshot

An efficient convolutional neural network-extreme gradient boosting hybrid deep learning model for disease detection applications

inferred← citeshttps://doi.org/10.1186/s12951-025-03526-4openalex-snapshot

Advanced strategy for cancer detection based on volatile organic compounds in breath

inferred← citeshttps://doi.org/10.1186/s42234-023-00118-1openalex-snapshot

Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform

inferred← citeshttps://doi.org/10.21203/rs.3.rs-3801141/v1openalex-snapshot

Enhanced Biomimetic Sensor for Cigarette Brand Differentiation using CdSe Quantum Dots and Machine Learning

inferred← citeshttps://doi.org/10.22214/ijraset.2024.61881openalex-snapshot

Deep Learning Enabled Diabetic Retinopathy Diagnosis Using Retinal Fundus Images

inferred← citeshttps://doi.org/10.26634/jdp.12.2.21446openalex-snapshot

A review of non-invasive breath-based glucose monitoring system for diabetic patients

inferred← citeshttps://doi.org/10.30970/eli.25.5openalex-snapshot

APPLICATION OF MACHINE LEARNING ALGORITHMS IN ELECTRONIC NOSE TECHNOLOGY

inferred← citeshttps://doi.org/10.31763/ijrcs.v3i3.1091openalex-snapshot

Future Potential of E-Nose Technology: A Review

inferred← citeshttps://doi.org/10.3389/fbioe.2022.876672openalex-snapshot

Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection

inferred← citeshttps://doi.org/10.3389/fdgth.2025.1557467openalex-snapshot

Machine learning and artificial intelligence in type 2 diabetes prediction: a comprehensive 33-year bibliometric and literature analysis

inferred← citeshttps://doi.org/10.3389/fendo.2025.1495306openalex-snapshot

Machine learning-based risk predictive models for diabetic kidney disease in type 2 diabetes mellitus patients: a systematic review and meta-analysis

inferred← citeshttps://doi.org/10.3389/frai.2026.1836646openalex-snapshot

Recent advancements and future prospects on AI-integrated sensing techniques for non-invasive chronic kidney disease diagnosis: a review

inferred← citeshttps://doi.org/10.3389/fsens.2023.1170280openalex-snapshot

Electronic nose based on multiple electrospinning nanofibers sensor array and application in gas classification

inferred← citeshttps://doi.org/10.3390/a17110519openalex-snapshot

Can the Plantar Pressure and Temperature Data Trend Show the Presence of Diabetes? A Comparative Study of a Variety of Machine Learning Techniques

inferred← citeshttps://doi.org/10.3390/app142311366openalex-snapshot

A Study on the Effect of Drift Factor on Feature Optimization in Electronic Nose Detection

inferred← citeshttps://doi.org/10.3390/bioengineering11111065openalex-snapshot

Enhanced Diabetes Detection and Blood Glucose Prediction Using TinyML-Integrated E-Nose and Breath Analysis: A Novel Approach Combining Synthetic and Real-World Data

inferred← citeshttps://doi.org/10.3390/bios13070705openalex-snapshot

A Paper-Based Biomimetic Sensing Device for the Discrimination of Original and Fraudulent Cigarette Brands Using Mixtures of MoS2 Quantum Dots and Organic Dyes

inferred← citeshttps://doi.org/10.3390/chemosensors10020085openalex-snapshot

Electronic Nose and Tongue for Assessing Human Microbiota

inferred← citeshttps://doi.org/10.3390/chemosensors11060317openalex-snapshot

The Role of Nano-Sensors in Breath Analysis for Early and Non-Invasive Disease Diagnosis

inferred← citeshttps://doi.org/10.3390/chemosensors11060350openalex-snapshot

Discrimination of Diabetes Mellitus Patients and Healthy Individuals Based on Volatile Organic Compounds (VOCs): Analysis of Exhaled Breath and Urine Samples by Using E-Nose and VE-Tongue

inferred← citeshttps://doi.org/10.3390/chemosensors12050076openalex-snapshot

Influence of Silsesquioxane-Containing Ultra-Thin Polymer Films on Metal Oxide Gas Sensor Performance for the Tunable Detection of Biomarkers

inferred← citeshttps://doi.org/10.3390/diagnostics15222884openalex-snapshot

The Role of Exhaled Breath Analyses in Interstitial Lung Disease

inferred← citeshttps://doi.org/10.3390/electronics14214207openalex-snapshot

Diabetes Prediction and Detection System Through a Recurrent Neural Network in a Sensor Device

inferred← citeshttps://doi.org/10.3390/fermentation7030119openalex-snapshot

Digital Smoke Taint Detection in Pinot Grigio Wines Using an E-Nose and Machine Learning Algorithms Following Treatment with Activated Carbon and a Cleaving Enzyme

inferred← citeshttps://doi.org/10.3390/mca31050212openalex-snapshot

Classification-Guided Specialized Regression for Non-Invasive Blood Glucose Estimation: A Synthetic E-Nose Benchmark Study

inferred← citeshttps://doi.org/10.3390/s21216989openalex-snapshot

Noninvasive Blood Glucose Concentration Measurement Based on Conservation of Energy Metabolism and Machine Learning

inferred← citeshttps://doi.org/10.3390/s21227620openalex-snapshot

Recent Progress in Smart Electronic Nose Technologies Enabled with Machine Learning Methods

inferred← citeshttps://doi.org/10.3390/s22010091openalex-snapshot

Functional Microfiber Nonwoven Fabric with Copper Ion-Immobilized Polymer Brush for Detection and Adsorption of Acetone Gas

inferred← citeshttps://doi.org/10.3390/s22030718openalex-snapshot

Colorimetric and Electrochemical Screening for Early Detection of Diabetes Mellitus and Diabetic Retinopathy—Application of Sensor Arrays and Machine Learning

inferred← citeshttps://doi.org/10.3390/s23031524openalex-snapshot

Multivariate Regression in Conjunction with GA-BP for Optimization of Data Processing of Trace NO Gas Flow in Active Pumping Electronic Nose

inferred← citeshttps://doi.org/10.3390/s23104824openalex-snapshot

Juice Quality Evaluation with Multisensor Systems—A Review

inferred← citeshttps://doi.org/10.3390/s24041294openalex-snapshot

Noninvasive Diabetes Detection through Human Breath Using TinyML-Powered E-Nose

inferred← citeshttps://doi.org/10.3390/s24185881openalex-snapshot

Electronic Nose Humidity Compensation System Based on Rapid Detection

inferred← citeshttps://doi.org/10.3390/s25051396openalex-snapshot

Non-Invasive Biomarkers in the Era of Big Data and Machine Learning

inferred← citeshttps://doi.org/10.4149/bll_2024_020openalex-snapshot

Binary fire hawks optimizer with deep learning driven non-invasive diabetes detection and classification

inferred← citeshttps://doi.org/10.62110/sciencein.jist.2025.v13.1106openalex-snapshot

Innovative condenser microphone-based non-invasive real time breath rate monitoring system

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.