Journal of Sensor Technology

Journal of Sensor Technology

ISSN Print: 2161-122X
ISSN Online: 2161-1238
www.scirp.org/journal/jst
E-mail: jst@scirp.org
"A Review: Artificial Neural Networks as Tool for Control Food Industry Process"
written by Estrella Funes, Yosra Allouche, Gabriel Beltrán, Antonio Jiménez,
published by Journal of Sensor Technology, Vol.5 No.1, 2015
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] Food analysis: From structure, chemistry and flavour to foodomics
[2] Internet of Nonthermal Food Processing Technologies (IoNTP): Food Industry 4.0 and Sustainability
2021
[3] Artificial Neural Networks in Food Processing
2021
[4] 7 Overview of model predictive control theory and applications in food science using ANN
2021
[5] From consumers' science to food functionality—Challenges and opportunities for vibrational spectroscopy
2021
[6] E-sensing and nanoscale-sensing devices associated with data processing algorithms applied to food quality control: a systematic review
2021
[7] Waste cooking oil classification using artificial intelligence technology/Lau Kar Sin
2020
[8] Effects of drying on physical and chemical properties of root vegetables: Artificial neural network modelling
2020
[9] Polycyclic Aromatic Hydrocarbons (PAHs) Formation in Grilled Meat Products—Analysis and Modeling with Artificial Neural Networks
2020
[10] An analysis of the influence of hand hole and ventilation hole design on compressive strength of corrugated fiberboard boxes by an artificial neural network model
2020
[11] Artificial Intelligence-Based Emission Reduction Strategy for Limestone Forced Oxidation Flue Gas Desulfurization System
2020
[12] The Sample, the Spectra and the Maths—The Critical Pillars in the Development of Robust and Sound Applications of Vibrational Spectroscopy
2020
[13] Accurate Prediction of Sensory Attributes of Cheese Using Near-Infrared Spectroscopy Based on Artificial Neural Network
2020
[14] Liquid chromatographic methods coupled to chemometrics: a short review to present the key workflow for the investigation of wine phenolic composition as it is …
2020
[15] TÜRKİYE'DE HANEHALKI GIDA HARCAMALARINI ETKİLEYEN SOSYO-EKONOMİK FAKTÖRLER: KARŞILAŞTIRMALI BİR ANALİZ
2020
[16] Predikcija fizikalno-kemijskih parametara vodenih ekstrakata samoniklog bilja primjenom blisko infracrvene spektroskopije u kombinaciji s kemometrijskim metodama
2019
[17] درجه‌بندی مغز گردو بر اساس رنگ با استفاده از ترکیب ماشین بینایی و شبکه عصبی مصنوعی‎
2019
[18] Dough bread from refined wheat flour partially replaced by grape peels: Optimizing the rheological properties
2019
[19] Arranging Bus Behaviour by Finding the Best Prediction Model with Artificial Neural Networks
2019
[20] Construction of artificial translation grading model based on BP neural network in college students' translation grading system
Journal of Intelligent & Fuzzy Systems, 2019
[21] Verification of imported red wine origin into China using multi isotope and elemental analyses
2019
[22] Potential of image processing, dielectric spectroscopy and intelligence methods in order to authentication of microalgae biodiesel
2019
[23] Multiple regression models and Artificial Neural Network (ANN) as prediction tools of changes in overall quality during the storage of spreadable processed …
2019
[24] Classification Process for Biological Tissue Diagnosis; Comparative Study
2018
[25] A New Multi Criteria Decision Making Method: Approach of Logarithmic Concept (APLOCO)
2018
[26] Neural Networks in Food Industry
2018
[27] Intensification of the convective drying process of Salvia officinalis: Modeling and optimization
Food Science and Technology International, 2018
[28] AUTOMATIC FRUIT DETECTION, COUNTING AND SORTING USING COMPUTER VISION AND MACHINE LEARNING ALGORITHMS
2018
[29] Kinetic Models for Drying Techniques—Food Materials
2018
[30] Online system for the identification and classification of olive fruits for the olive oil production process
Journal of Food Measurement and Characterization, 2018
[31] MICROBIOLOGIA PREDITIVA: ASPECTOS GERAIS E TENDÊNCIAS
2018
[32] Optimization of vacuum cooling treatment of postharvest broccoli using response surface methodology combined with genetic algorithm technique
Computers and Electronics in Agriculture, 2018
[33] Trends in chemometrics: Food authentication, microbiology, and effects of processing
Comprehensive Reviews in Food Science and Food Safety, 2018
[34] Multilayer Perceptron Method of Artificial Neural Network for Classification of Farmers Based on Adoption of Drought Coping Mechanisms
2018
[35] The Framework for Driving Compound Clay Industry Become SME 4.0
2018
[36] Comparison of Type-2 Fuzzy Integration for Optimized Modular Neural Networks Applied to Human Recognition
Complex Systems: Solutions and Challenges in Economics, Management and Engineering, 2018
[37] DETERMINING RICH GENOTYPE FOR VITAMIN C IN MELONS BY USING ARTIFICIAL NEURAL NETWORKS
2018
[38] Predicting sales in a foodstore department using machine learning
Thesis, 2017
[39] Different methodologies for sustainability of optimization techniques used in submerged and solid state fermentation
3 Biotech, 2017
[40] A Holistic Review of Soft Computing Techniques
2017
[41] Effect of bacteriophage control and artificial neural networks prediction in the inactivation of Listeria monocytogenes on fresh produce
2017
[42] Chemical components retention and modelling of antioxidant activity using neural networks in oven dried tomato slices with and without osmotic dehydration pre …
Journal of Food Measurement and Characterization, 2017
[43] Cultivar classification of Apulian olive oils: Use of artificial neural networks for comparing NMR, NIR and merceological data
Food Chemistry, 2017
[44] Prediction of Listeria monocytogenes ATCC 7644 growth on fresh-cut produce treated with bacteriophage and sucrose monolaurate by using artificial neural network
LWT, 2017
[45] Comparison of Optimization Techniques for Modular Neural Networks Applied to Human Recognition
Nature-Inspired Design of Hybrid Intelligent Systems, 2017
[46] APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS AND GENETIC ALGORITHMS IN DRYING OF FRUITS AND VEGETABLES: A REVIEW
2017
[47] Long term load forecasting for Nigeria's electric power grid using ann and fuzzy logic models
2017
[48] Benchmarking support vector regression against partial least squares regression and artificial neural network: Effect of sample size on model performance
Journal of Near Infrared Spectroscopy, 2017
[49] Microalgal process-monitoring based on high-selectivity spectroscopy tools: status and future perspectives
Cognitive Neuropsychiatry, 2017
[50] APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS IN CHEMISTRY AND CHEMICAL ENGINEERING
International Journal of Computer Research, 2016
[51] Developing a computer vision method based on AHP and feature ranking for ores type detection
Applied Soft Computing, 2016
[52] Artificial Vision Techniques to Optimize Strawberry's Industrial Classification
2016
[53] Dynamic modelling of proton exchange membrane fuel cell system for electric bicycle/Azadeh Kheirandish
2016
[54] Dynamic Modelling of Proton Exchange Membrane Fuel Cell System for Electric Bicycle
Thesis, 2016
[55] In-vitro biological tissue state monitoring based on impedance spectroscopy
2016
[56] Artificial Vision Techniques for Strawberry's Industrial Classification
2015
[57] Hybrid metaheuristic algorithm (SAGAC) used in optimization of vacuum cooling treatment of postharvest broccoli
Free SCIRP Newsletters
Copyright © 2006-2022 Scientific Research Publishing Inc. All Rights Reserved.
Top