Results 61 to 70 of about 213,632 (306)

Post-harvest Quality Evaluation of Grapes using Non-destructive Electronic Nose [PDF]

open access: yesJournal of Electrical and Electronics Engineering, 2015
Over the past decades, electronic nose has opened a variety of possibilities and is becoming one of the most important non-destructive odour inspection technologies in the food industry. The objective of this study is to determine the quality degradation
RAJIN S. M. Ataul Karim   +2 more
doaj  

Prototype of Electronic Nose Based on Gas Sensors Array and Back Propagation Neural Network for Tea Classification [PDF]

open access: yes, 2007
We have developed an electronic nose based on metal oxide gas sensor array and back-propagation neural network for tea classification. The sensor array consists of six Tagushi Gas Sensor (TGS) type devices.
Bharata, M. I. (Muhammad)   +3 more
core  

Electronic nose in edible insects area [PDF]

open access: yes, 2017
Edible insect is appraised by many cultures as delicious and nutritionally beneficial food. In western countries this commodity is not fully appreciated, and the worries about edible insect food safety prevail.
Adámek, Martin   +7 more
core   +3 more sources

Crack‐Growing Interlayer Design for Deep Crack Propagation and Ultrahigh Sensitivity Strain Sensing

open access: yesAdvanced Functional Materials, EarlyView.
A crack‐growing semi‐cured polyimide interlayer enabling deep cracks for ultrahigh sensitivity in low‐strain regimes is presented. The sensor achieves a gauge factor of 100 000 at 2% strain and detects subtle deformations such as nasal breathing, highlighting potential for minimally obstructive biomedical and micromechanical sensing applications ...
Minho Kim   +11 more
wiley   +1 more source

Continuous Evaluation of Odour Concentration at a Plant Emission by Electronic Nose

open access: yesChemical Engineering Transactions, 2014
The development of an electronic nose for the continuous monitoring of odour emissions from an industrial plant would represent an important advantage in the field of environmental odour emissions control.
L. Eusebio   +4 more
doaj   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee   +17 more
wiley   +1 more source

Upcycling of Disposable Face Masks into Water‐Resistant and Flame Retardant Foams

open access: yesAdvanced Functional Materials, EarlyView.
Disposable mask waste is upcycled into lightweight polypropylene‐based foams with tunable porosity and composite architectures reinforced by ear‐loop fibers. The sustainable solvent‐based process enables upcycling rates of 91% and solvent recovery of >90%.
Jingjing Pan   +3 more
wiley   +1 more source

Classification of Plant-Based Drinks Based on Volatile Compounds

open access: yesFoods
The increasing popularity of plant-based drinks has led to an expanded consumer market. However, available quality control technologies for plant-based drinks are time-consuming and expensive.
Zsigmond Papp   +5 more
doaj   +1 more source

Self‐Feeding of Engineered Tissues via Controlled Glucose Release Facilitates Survival and Vascularization of Living Implants

open access: yesAdvanced Functional Materials, EarlyView.
ABSTRACT Engineering living matter has great clinical potential to deliver functional replacement organs. However, clinical translation remains hampered by the current inability to maintain viability of clinically relevant‐sized constructs. During the pre‐vascular phase, implants rely on nutrient diffusion for survival, which is insufficient at ...
Melvin Gurian   +5 more
wiley   +1 more source

Green tea species recognition based on electronic tongue and electronic nose combined with CNN-Transformer model

open access: yesShipin yu jixie
[Objective] To realize rapid detection of green tea species identification. [Methods] A rapid detection method based on the combination of electronic tongue and electronic nose combined with CNN-Transformer composite model was proposed.
LIU Chuanzheng   +4 more
doaj   +1 more source

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