[1]
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Food analysis: From structure, chemistry and flavour to foodomics
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NULL |
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[2]
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Application of artificial intelligence and machine learning to food rheology
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Advances in Food Rheology and Its Applications,
2023 |
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[3]
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Sensitivity Analysis of Open-Top Cartons in Terms of Compressive Strength Capacity
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Materials,
2023 |
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[4]
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Authenticity and Chemometrics of Olives
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… and Authenticity of …,
2023 |
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[5]
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Application of artificial intelligence in food industry—A guideline
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Food Engineering …,
2022 |
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[6]
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The Use of Neural Network in Defense Audit Nonlinear Dynamic Processing Under the Background of Big Data
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Fractals,
2022 |
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[7]
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Water reuse in the food industry
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Discover Food,
2022 |
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[8]
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Non-destructive acoustic screening of pineapple ripeness by unsupervised machine learning and Wavelet Kernel methods
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Science …,
2022 |
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[9]
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QUALITY PREDICTION WITH NEURAL NETWORK TECHNIQUES FOR POLYPROPYLENE PRODUCTION VIA THE SPHERIPOL PROCESS
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Yusof, SRW Alwi - Jurnal Teknologi,
2022 |
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[10]
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Current Trends in Intelligent Control Neural Networks for Thermal Processing (Foods): Systematic Literature Review
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Journal of Robotics …,
2022 |
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[11]
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Raw material variability in food manufacturing: a data-driven snack food industry case
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Production & …,
2022 |
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[12]
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Artificial intelligence applied to healthcare and biotechnology
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Biotechnology in Healthcare …,
2022 |
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[13]
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ICT applications for the food industry
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Future Foods,
2022 |
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[14]
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Food processing 4.0: Current and future developments spurred by the fourth industrial revolution
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Garcia… - Food Control,
2022 |
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[15]
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Modeling of process parameters to predict the efficiency of shallots stem cutting machine using multiple regression and artificial neural network
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Journal of Food …,
2022 |
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[16]
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Evaluation of Energy Consumption Pattern in Rice Processing Using Taguchi and Artificial Neural Network Approaches
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Agricultural Engineering International …,
2022 |
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[17]
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Nanointelligence in Functional Food
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Nanotechnology in Functional …,
2022 |
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[18]
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Quality prediction for polypropylene extrusion based on neural networks
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IOP Conference Series: Materials …,
2022 |
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[19]
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Digital twin based condition monitoring system for a cold stamping machine
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2022 |
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[20]
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AN INTELLIGENT INTERNET OF THINGS MONITORING SYSTEM FOR POTABLE QUALITY WATER: A CASE STUDY IN MANGAUNG AREA
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2021 |
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[21]
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Inteligência artificial aplicada a modelagem de processos da indústria de alimentos
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2021 |
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[22]
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Artificial Neural Network (ANN) modeling to predict the twin-screw extrusion processing variables of soy protein isolate and corn flour blend formulations on the …
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Journal of the Saudi Society for Food and …,
2021 |
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[23]
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Sustainable innovations in the food industry through artificial intelligence and big data analytics
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Logistics,
2021 |
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[24]
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Relaxation schemes for the joint linear chance constraint based on probability inequalities
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Journal of Industrial and Management …,
2021 |
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[25]
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Internet of Nonthermal Food Processing Technologies (IoNTP): Food Industry 4.0 and Sustainability
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2021 |
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[26]
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Artificial Neural Networks in Food Processing
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2021 |
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[27]
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7 Overview of model predictive control theory and applications in food science using ANN
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2021 |
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[28]
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From consumers' science to food functionality—Challenges and opportunities for vibrational spectroscopy
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2021 |
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[29]
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Hybrid metaheuristic algorithm (SAGAC) used in optimization of vacuum cooling treatment of postharvest broccoli
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Revista FSA (Centro Universitário Santo Agostinho),
2021 |
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[30]
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E-sensing and nanoscale-sensing devices associated with data processing algorithms applied to food quality control: a systematic review
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2021 |
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[31]
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Waste cooking oil classification using artificial intelligence technology/Lau Kar Sin
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2020 |
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[32]
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Effects of drying on physical and chemical properties of root vegetables: Artificial neural network modelling
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2020 |
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[33]
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Polycyclic Aromatic Hydrocarbons (PAHs) Formation in Grilled Meat Products—Analysis and Modeling with Artificial Neural Networks
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2020 |
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[34]
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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
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2020 |
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[35]
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Artificial Intelligence-Based Emission Reduction Strategy for Limestone Forced Oxidation Flue Gas Desulfurization System
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2020 |
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[36]
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The Sample, the Spectra and the Maths—The Critical Pillars in the Development of Robust and Sound Applications of Vibrational Spectroscopy
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2020 |
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[37]
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Accurate Prediction of Sensory Attributes of Cheese Using Near-Infrared Spectroscopy Based on Artificial Neural Network
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2020 |
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[38]
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Liquid chromatographic methods coupled to chemometrics: a short review to present the key workflow for the investigation of wine phenolic composition as it is …
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2020 |
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[39]
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TÜRKİYE'DE HANEHALKI GIDA HARCAMALARINI ETKİLEYEN SOSYO-EKONOMİK FAKTÖRLER: KARŞILAŞTIRMALI BİR ANALİZ
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2020 |
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[40]
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Predikcija fizikalno-kemijskih parametara vodenih ekstrakata samoniklog bilja primjenom blisko infracrvene spektroskopije u kombinaciji s kemometrijskim metodama
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2019 |
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[41]
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درجهبندی مغز گردو بر اساس رنگ با استفاده از ترکیب ماشین بینایی و شبکه عصبی مصنوعی
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2019 |
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[42]
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Dough bread from refined wheat flour partially replaced by grape peels: Optimizing the rheological properties
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2019 |
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[43]
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Arranging Bus Behaviour by Finding the Best Prediction Model with Artificial Neural Networks
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2019 |
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[44]
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Construction of artificial translation grading model based on BP neural network in college students' translation grading system
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Journal of Intelligent & Fuzzy Systems,
2019 |
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[45]
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Verification of imported red wine origin into China using multi isotope and elemental analyses
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2019 |
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[46]
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Potential of image processing, dielectric spectroscopy and intelligence methods in order to authentication of microalgae biodiesel
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2019 |
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[47]
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Multiple regression models and Artificial Neural Network (ANN) as prediction tools of changes in overall quality during the storage of spreadable processed …
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2019 |
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[48]
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Color Grading of Walnut Kernel Using Combination of Machine Vision and Artificial Neural Networks
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Iranian Journal of Horticultural …,
2019 |
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[49]
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Comparison of Type-2 Fuzzy Integration for Optimized Modular Neural Networks Applied to Human Recognition
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Complex Systems: Solutions and Challenges in Economics, Management and Engineering,
2018 |
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[50]
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Classification Process for Biological Tissue Diagnosis; Comparative Study
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2018 |
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[51]
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A New Multi Criteria Decision Making Method: Approach of Logarithmic Concept (APLOCO)
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2018 |
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[52]
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Neural Networks in Food Industry
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2018 |
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[53]
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Intensification of the convective drying process of Salvia officinalis: Modeling and optimization
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Food Science and Technology International,
2018 |
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[54]
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AUTOMATIC FRUIT DETECTION, COUNTING AND SORTING USING COMPUTER VISION AND MACHINE LEARNING ALGORITHMS
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2018 |
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[55]
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Kinetic Models for Drying Techniques—Food Materials
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2018 |
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[56]
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Online system for the identification and classification of olive fruits for the olive oil production process
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Journal of Food Measurement and Characterization,
2018 |
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[57]
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MICROBIOLOGIA PREDITIVA: ASPECTOS GERAIS E TENDÊNCIAS
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2018 |
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[58]
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Optimization of vacuum cooling treatment of postharvest broccoli using response surface methodology combined with genetic algorithm technique
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Computers and Electronics in Agriculture,
2018 |
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[59]
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Trends in chemometrics: Food authentication, microbiology, and effects of processing
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Comprehensive Reviews in Food Science and Food Safety,
2018 |
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[60]
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Multilayer Perceptron Method of Artificial Neural Network for Classification of Farmers Based on Adoption of Drought Coping Mechanisms
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2018 |
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[61]
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DETERMINING RICH GENOTYPE FOR VITAMIN C IN MELONS BY USING ARTIFICIAL NEURAL NETWORKS
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2018 |
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[62]
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The Framework for Driving Compound Clay Industry Become SME 4.0
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2018 |
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[63]
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Predicting sales in a foodstore department using machine learning
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Thesis,
2017 |
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[64]
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Different methodologies for sustainability of optimization techniques used in submerged and solid state fermentation
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3 Biotech,
2017 |
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[65]
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A Holistic Review of Soft Computing Techniques
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2017 |
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[66]
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Effect of bacteriophage control and artificial neural networks prediction in the inactivation of Listeria monocytogenes on fresh produce
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2017 |
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[67]
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Chemical components retention and modelling of antioxidant activity using neural networks in oven dried tomato slices with and without osmotic dehydration pre …
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Journal of Food Measurement and Characterization,
2017 |
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[68]
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Cultivar classification of Apulian olive oils: Use of artificial neural networks for comparing NMR, NIR and merceological data
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Food Chemistry,
2017 |
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[69]
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Prediction of Listeria monocytogenes ATCC 7644 growth on fresh-cut produce treated with bacteriophage and sucrose monolaurate by using artificial neural network
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LWT,
2017 |
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[70]
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Comparison of Optimization Techniques for Modular Neural Networks Applied to Human Recognition
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Nature-Inspired Design of Hybrid Intelligent Systems,
2017 |
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[71]
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APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS AND GENETIC ALGORITHMS IN DRYING OF FRUITS AND VEGETABLES: A REVIEW
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2017 |
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[72]
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Long term load forecasting for Nigeria's electric power grid using ann and fuzzy logic models
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2017 |
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[73]
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Benchmarking support vector regression against partial least squares regression and artificial neural network: Effect of sample size on model performance
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Journal of Near Infrared Spectroscopy,
2017 |
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[74]
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Microalgal process-monitoring based on high-selectivity spectroscopy tools: status and future perspectives
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Cognitive Neuropsychiatry,
2017 |
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[75]
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APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS IN CHEMISTRY AND CHEMICAL ENGINEERING
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International Journal of Computer Research,
2016 |
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[76]
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Developing a computer vision method based on AHP and feature ranking for ores type detection
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Applied Soft Computing,
2016 |
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[77]
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Artificial Vision Techniques to Optimize Strawberry's Industrial Classification
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2016 |
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[78]
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Dynamic modelling of proton exchange membrane fuel cell system for electric bicycle/Azadeh Kheirandish
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2016 |
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[79]
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Dynamic Modelling of Proton Exchange Membrane Fuel Cell System for Electric Bicycle
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Thesis,
2016 |
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[80]
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In-vitro biological tissue state monitoring based on impedance spectroscopy
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2016 |
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[81]
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Artificial Vision Techniques for Strawberry's Industrial Classification
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2015 |
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