J. Torrecilla

发表

Application of a Model Reference Adaptive Control System to pH Control. Effects of Lag and Delay Time

M. C. Palancar, J. Aragón, Joaquin A. Miguens, 1996 .

Field determination of phenolic compounds in olive oil mill wastewater by artificial neural network

José S. Torrecilla, Paloma Yáñez-Sedeño, J. Torrecilla, 2008 .

Design and Optimization of a Filter Based on Artificial Neural Network Applied to a Distillation Column

J. Torrecilla, Julián García, A. Fernández, 2008 .

The Initial Freezing Temperature of Foods at High Pressure

J. Torrecilla, B. Guignon, L. Otero, 2008, Critical reviews in food science and nutrition.

Application of artificial neural network to the determination of phenolic compounds in olive oil mill wastewater

José S. Torrecilla, Paloma Yáñez-Sedeño, J. Torrecilla, 2007 .

A neural network approach for thermal/pressure food processing

José S. Torrecilla, Pedro D. Sanz, J. Torrecilla, 2004 .

pH-Control System Based on Artificial Neural Networks

M. C. Palancar, J. Aragón, J. Torrecilla, 1998 .

Density and Molar Volume Predictions Using COSMO-RS for Ionic Liquids. An Approach to Solvent Design

J. Torrecilla, F. Rodríguez, V. Ferro, 2007 .

Optimising an artificial neural network for predicting the melting point of ionic liquids.

J. Bravo, J. Torrecilla, G. Rothenberg, 2008, Physical chemistry chemical physics : PCCP.

Silicon Nanowire Sensors Enable Diagnosis of Patients via Exhaled Breath.

John C. Cancilla, H. Haick, J. Torrecilla, 2016, ACS nano.

Estimation of toxicity of ionic liquids in Leukemia Rat Cell Line and Acetylcholinesterase enzyme by principal component analysis, neural networks and multiple lineal regressions.

J. Torrecilla, Julián García, F. Rodríguez, 2009, Journal of hazardous materials.

Convolutional decoding of thermographic images to locate and quantify honey adulterations.

John C. Cancilla, J. Torrecilla, J. Cancilla, 2020, Talanta.

Volumetric, Transport and Surface Properties of [bmim][MeSO4] and [emim][EtSO4] Ionic Liquids As a Function of Temperature

J. Torrecilla, Julián García, A. Fernández, 2008 .

Artificial sensing intelligence with silicon nanowires for ultraselective detection in the gas phase.

Bin Wang, José S. Torrecilla, Hossam Haick, 2014, Nano letters.

Linking chemical parameters to sensory panel results through neural networks to distinguish olive oil quality.

Gemma Matute, Pablo Díaz-Rodríguez, J. Torrecilla, 2014, Journal of agricultural and food chemistry.

Self-organizing maps based on chaotic parameters to detect adulterations of extra virgin olive oil with inferior edible oils

José S. Torrecilla, John C. Cancilla, Gemma Matute, 2013 .

Intelligent modelling to monitor the evolution of quality of extra virgin olive oil in simulated distribution conditions

J. Torrecilla, J. Cancilla, Miguel Lastra-Mejías, 2018, Biosystems Engineering.

Chaotic parameters extracted from fluorescence spectra to quantify sheep cheese whey in natural bodies of water.

J. Torrecilla, J. Cancilla, M. Izquierdo, 2018, Talanta.

Neural networks applied to characterize blends containing refined and extra virgin olive oils.

Regina Aroca-Santos, J. Torrecilla, J. Cancilla, 2016, Talanta.

Spectroscopic determination of the photodegradation of monovarietal extra virgin olive oils and their binary mixtures through intelligent systems.

J. Torrecilla, Selina C. Wang, J. Cancilla, 2015, Talanta.

Identifying and Quantifying Adulterants in Extra Virgin Olive Oil of the Picual Varietal by Absorption Spectroscopy and Nonlinear Modeling.

John C. Cancilla, J. Torrecilla, J. Cancilla, 2015, Journal of agricultural and food chemistry.

Principal Component Analysis/UV Spectroscopy for the Determination of 1-Ethyl-3-methylimidazolium Ethylsulfate Ionic Liquid and Toluene Concentrations in Aqueous Solutions

J. Torrecilla, Julián García, F. Rodríguez, 2008 .

Chaotic parameters and their role in quantifying noise in the output signals from UV, TGA and DSC apparatus.

J. Torrecilla, F. Rodríguez, E. Rojo, 2009, Talanta.

Self-organizing maps and learning vector quantization networks as tools to identify vegetable oils.

J. Torrecilla, F. Rodríguez, E. Rojo, 2009, Journal of agricultural and food chemistry.

The Olive: Its Processing and Waste Management

J. Torrecilla, 2010 .

Application of lag-k autocorrelation coefficient and the TGA signals approach to detecting and quantifying adulterations of extra virgin olive oil with inferior edible oils.

Francisco Rodríguez, J. Torrecilla, Julián García, 2011, Analytica chimica acta.

Programmed Nanoparticles for Tailoring the Detection of Inflammatory Bowel Diseases and Irritable Bowel Syndrome Disease via Breathprint

John C. Cancilla, H. Haick, J. Torrecilla, 2016, Advanced healthcare materials.

Cancer metabolism: the volatile signature of glycolysis—in vitro model in lung cancer cells

Hossam Haick, Jose S Torrecilla, Jens Herbig, 2017, Journal of breath research.

A Highly Sensitive Diketopyrrolopyrrole‐Based Ambipolar Transistor for Selective Detection and Discrimination of Xylene Isomers

H. Haick, C. McNeill, J. Torrecilla, 2016, Advanced materials.

UNIVERSITY STUDENTS DEVELOPING IMAGINATIVE PROBLEM SOLVING SKILLS — THE CASE OF FOOD ENGINEERING

J. Torrecilla, R. Aguado, A. Moral, 2018, Proceedings of the 4th International Conference on Higher Education Advances (HEAd'18).

Chaotic parameters from fluorescence spectra to resolve fraudulent mixtures of fresh and expired protected designation of origin extra virgin olive oils.

J. Torrecilla, M. L. Mena, J. Cancilla, 2019, Talanta.

Prediction of gas solubilities in ionic liquids.

Polina V. Oliferenko, J. Torrecilla, K. R. Seddon, 2011, Physical chemistry chemical physics : PCCP.

Cognitive fluorescence sensing to monitor the storage conditions and locate adulterations of extra virgin olive oil

J. Torrecilla, J. Cancilla, M. Izquierdo, 2019, Food Control.

Liquid−Liquid Extraction of Toluene from Heptane Using 1-Alkyl-3-methylimidazolium Bis(trifluoromethylsulfonyl)imide Ionic Liquids

J. Torrecilla, Julián García, F. Rodríguez, 2011 .

Honey exposed to laser-induced breakdown spectroscopy for chaos-based botanical classification and fraud assessment

John C. Cancilla, J. Torrecilla, J. Cancilla, 2020 .

A neural network approach based on gold‐nanoparticle enzyme biosensor

J. Torrecilla, M. L. Mena, P. Yáñez‐Sedeño, 2008 .

Phenolic compounds in olive oil mill wastewater

J. Torrecilla, 2021, Olives and Olive Oil in Health and Disease Prevention.

Thermophysical Properties of 1-Ethyl-3-methylimidazolium 1,1,2,2-Tetrafluoroethanesulfonate and 1-Ethyl-3-methylimidazolium Ethylsulfate Ionic Liquids as a Function of Temperature

J. Torrecilla, Julián García, F. Rodríguez, 2011 .

Profiles of Volatile Biomarkers Detect Tuberculosis from Skin

John C. Cancilla, H. Haick, Sarman Singh, 2020, Advanced science.

Algorithmic modeling of spectroscopic data to quantify binary mixtures of vinegars of different botanical origins

J. Torrecilla, J. Cancilla, G. Matute, 2016 .

Liquid−Liquid Equilibria for the Ternary Systems {Heptane + Toluene + N-Butylpyridinium Tetrafluoroborate or N-Hexylpyridinium Tetrafluoroborate} at T = 313.2 K

J. Torrecilla, Julián García, F. Rodríguez, 2010 .

Solvent Extraction of Toluene from Heptane with the Ionic Liquids N-Ethylpyridinium Bis(trifluoromethylsulfonyl)imide and z-Methyl-N-ethylpyridinium Bis(trifluoromethylsulfonyl)imide (z = 2, 3, or 4) at T = 313.2 K

J. Torrecilla, Julián García, F. Rodríguez, 2010 .

Modelling of Hydrocarbon Solubility in Isomeric Ionic Liquids Using Mathematical Regressions

J. Torrecilla, Julián García, F. Rodríguez, 2012 .

Quantification of phenolic compounds in olive oil mill wastewater by artificial neural network/laccase biosensor.

J. Torrecilla, M. L. Mena, P. Yáñez‐Sedeño, 2007, Journal of agricultural and food chemistry.

Viscosity estimation of binary mixtures of ionic liquids through a multi-layer perceptron model

John C. Cancilla, J. Torrecilla, J. Cancilla, 2015 .

Highly Sensitive Ambipolar Field Effect Transistor-Based Diketopyrrolopyrrole Copolymer for Selective Detection and Discrimination of Xylene Isomers

J. Torrecilla, T. Do, T. Huynh, 2018 .

Development of an a Priori Ionic Liquid Design Tool. 2. Ionic Liquid Selection through the Prediction of COSMO-RS Molecular Descriptor by Inverse Neural Network

J. Torrecilla, F. Rodríguez, V. Ferro, 2009 .

Deep quantification of a refined adulterant blended into pure avocado oil.

Ana M. Pérez-Calabuig, J. Torrecilla, J. Cancilla, 2022, Food chemistry.

Neural network models to classify olive oils within the protected denomination of origin framework

J. Torrecilla, J. Cancilla, P. Díaz-Rodríguez, 2013 .

Linear and non-linear modeling to identify vinegars in blends through spectroscopic data

J. Torrecilla, J. Cancilla, G. Matute, 2016 .

Non-linear models applied to experimental spectroscopical quantitative analysis of aqueous ternary mixtures of imidazolium and pyridinium-based ionic liquids

J. Torrecilla, J. Cancilla, P. Díaz-Rodríguez, 2015 .

Application of artificial neural networks as a tool for moisture prediction in microbially colonized halite in the Atacama Desert

J. Torrecilla, C. McKay, A. Davila, 2015 .

Development of an a Priori Ionic Liquid Design Tool. 1. Integration of a Novel COSMO-RS Molecular Descriptor on Neural Networks

J. Torrecilla, F. Rodríguez, V. Ferro, 2008 .

Effect of Relative Humidity of Air on Density, Apparent Molar Volume, Viscosity, Surface Tension, and Water Content of 1-Ethyl-3-methylimidazolium Ethylsulfate Ionic Liquid

J. Torrecilla, Julián García, F. Rodríguez, 2008 .

On-site images taken and processed to classify olives according to quality – The foundation of a high-grade olive oil

J. Torrecilla, J. Cancilla, Enrique S. Pariente, 2018, Postharvest Biology and Technology.

Intelligent real-time quantification of cheese whey in rivers and reservoirs in Madrid (Spain)

John C. Cancilla, J. Torrecilla, J. Cancilla, 2019, Sensors and Actuators B: Chemical.

Linear and non-linear quantification of extra virgin olive oil, soybean oil, and sweet almond oil in blends to assess their commercial labels

John C. Cancilla, J. Torrecilla, J. Cancilla, 2019, Journal of Food Composition and Analysis.

Quantifying binary and ternary mixtures of monovarietal extra virgin olive oils with UV–vis absorption and chemometrics

J. Torrecilla, A. Moral, J. Cancilla, 2016 .

Thermophysical Properties of 1-Ethyl-3-methylimidazolium Ethylsulfate and 1-Butyl-3-methylimidazolium Methylsulfate Ionic Liquids

J. Torrecilla, Julián García, A. Fernández, 2007 .

Determination of 1-Ethyl-3-methylimidazolium Ethylsulfate Ionic Liquid and Toluene Concentration in Aqueous Solutions by Artificial Neural Network/UV Spectroscopy

J. Torrecilla, Julián García, A. Fernández, 2007 .

Influence of the distribution chain on the quality of extra virgin olive oils

John C. Cancilla, J. Torrecilla, J. Cancilla, 2021 .

A COSMO-RS based guide to analyze/quantify the polarity of ionic liquids and their mixtures with organic cosolvents.

J. Torrecilla, F. Rodríguez, V. Ferro, 2010, Physical Chemistry, Chemical Physics - PCCP.

Prediction of non-ideal behavior of polarity/polarizability scales of solvent mixtures by integration of a novel COSMO-RS molecular descriptor and neural networks.

J. Torrecilla, F. Rodríguez, V. Ferro, 2008, Physical chemistry chemical physics : PCCP.

Combination of LEDs and cognitive modeling to quantify sheep cheese whey in watercourses.

John C. Cancilla, J. Torrecilla, J. Cancilla, 2019, Talanta.

Characterization of an array of honeys of different types and botanical origins through fluorescence emission based on LEDs.

John C. Cancilla, J. Torrecilla, J. Cancilla, 2018, Talanta.

Low requirement imaging enables sensitive and robust rice adulteration quantification via transfer learning

José S. Torrecilla, John C. Cancilla, Sandra Pradana-López, 2021 .

Deep transfer learning to verify quality and safety of ground coffee

José S. Torrecilla, John C. Cancilla, Sandra Pradana-López, 2021 .

Radial basis network analysis of color parameters to estimate lycopene content on tomato fruits.

Virginia Fernández-Ruiz, Montaña Cámara, J. Torrecilla, 2010, Talanta.

Cognitive chaos on spectrofluorometric data to quantitatively unmask adulterations of a PDO vinegar

J. Torrecilla, J. Cancilla, M. Izquierdo, 2020 .

Alkylsulfate-based ionic liquids in the liquid–liquid extraction of aromatic hydrocarbons

J. Torrecilla, Julián García, F. Rodríguez, 2012 .

Effect of Cationic and Anionic Chain Lengths on Volumetric, Transport, and Surface Properties of 1-Alkyl-3-methylimidazolium Alkylsulfate Ionic Liquids at (298.15 and 313.15) K

José S. Torrecilla, Francisco Rodríguez, Jose Palomar, 2009 .

Estimation of the refractive indices of imidazolium-based ionic liquids using their polarisability values.

John C. Cancilla, J. Torrecilla, K. R. Seddon, 2014, Physical chemistry chemical physics : PCCP.

1-Alkyl-2,3-dimethylimidazolium Bis(trifluoromethylsulfonyl)imide Ionic Liquids for the Liquid–Liquid Extraction of Toluene from Heptane

J. Torrecilla, Julián García, F. Rodríguez, 2011 .

Visible imaging to convolutionally discern and authenticate varieties of rice and their derived flours

José S. Torrecilla, Manuel Izquierdo, Miguel Lastra-Mejías, 2020 .

Artificial neural networks applied to fluorescence studies for accurate determination of N-butylpyridinium chloride concentration in aqueous solution

José S. Torrecilla, John C. Cancilla, Luis Bañares, 2014 .

Exhaled Breath Markers for Nonimaging and Noninvasive Measures for Detection of Multiple Sclerosis.

H. Haick, Y. Broza, J. Torrecilla, 2017, ACS chemical neuroscience.

Cancerous glucose metabolism in lung cancer—evidence from exhaled breath analysis

H. Haick, J. Torrecilla, J. Bar, 2016, Journal of breath research.

Machine Learning and Feature Selection Applied to SEER Data to Reliably Assess Thyroid Cancer Prognosis

J. Torrecilla, J. Cancilla, Aaron R. Dezube, 2020, Scientific Reports.

Exposing adulteration of Muscatel wines and assessing its distribution chain with fluorescence via intelligent and chaotic networks

José S. Torrecilla, Miguel Lastra-Mejías, Ester González-Flores, 2020 .

Quantification of adulterant agents in extra virgin olive oil by models based on its thermophysical properties

J. Torrecilla, Julián García, F. Rodríguez, 2011 .

Linear and non linear chemometric models to quantify the adulteration of extra virgin olive oil.

J. Torrecilla, F. Rodríguez, E. Rojo, 2010, Talanta.

Convolutional capture of the expansion of extra virgin olive oil droplets to quantify adulteration.

J. Torrecilla, J. Cancilla, Sandra Pradana-López, 2021, Food Chemistry.

Laser diode induced excitation of PDO extra virgin olive oils for cognitive authentication and fraud detection

J. Torrecilla, J. Cancilla, M. Izquierdo, 2019, Sensors and Actuators B: Chemical.

Conductivity of Ionic Liquids: A Neural Network Approach

J. Torrecilla, J. Cancilla, P. Díaz-Rodríguez, 2015 .

Modeling the Drying of a High-Moisture Solid with an Artificial Neural Network

José S. Torrecilla, José M. Aragón, María C. Palancar, 2005 .

Artificial neural networks : a promising tool to design and optimize high-pressure food processes

José S. Torrecilla, Laura Otero, Pedro D. Sanz, 2005 .

Thermal imaging of rice grains and flours to design convolutional systems to ensure quality and safety

José S. Torrecilla, John C. Cancilla, Sandra Pradana-López, 2021 .

A novel method to quantify the adulteration of extra virgin olive oil with low-grade olive oils by UV-vis.

Francisco Rodríguez, Ester Rojo, J. Torrecilla, 2010, Journal of agricultural and food chemistry.

Liquid–liquid extraction of toluene from n-heptane using binary mixtures of N-butylpyridinium tetrafluoroborate and N-butylpyridinium bis(trifluoromethylsulfonyl)imide ionic liquids

J. Torrecilla, Julián García, F. Rodríguez, 2012 .

Optimization of an artificial neural network for thermal/pressure food processing: Evaluation of training algorithms

José S. Torrecilla, Laura Otero, Pedro D. Sanz, 2007 .

Is my food safe? - AI-based classification of lentil flour samples with trace levels of gluten or nuts.

J. Torrecilla, J. Cancilla, Sandra Pradana-López, 2022, Food chemistry.

Application of residual neural networks to detect and quantify milk adulterations

J. Torrecilla, J. Cancilla, Sandra Pradana-López, 2023, Journal of Food Composition and Analysis.

Distinct thermal patterns to detect and quantify trace levels of wheat flour mixed into ground chickpeas.

J. Torrecilla, J. Cancilla, Sandra Pradana-López, 2022, Food chemistry.

Deep thermal imaging to compute the adulteration state of extra virgin olive oil

Manuel Izquierdo, Miguel Lastra-Mejías, Ester González-Flores, 2020, Comput. Electron. Agric..

Optimization of an Artificial Neural Network by Selecting the Training Function. Application to Olive Oil Mills Waste

José S. Torrecilla, José M. Aragón, María C. Palancar, 2008 .

Residual neural networks to quantify traces of melamine in yogurts through image deconvolution

J. Torrecilla, J. Cancilla, Sandra Pradana-López, 2023, Journal of Food Composition and Analysis.

Neural Networks: Their Role in the Field of Sensors

José Torrecilla, J. Torrecilla, 2010 .

A quantum-chemical-based guide to analyze/quantify the cytotoxicity of ionic liquids

José S. Torrecilla, Francisco Rodríguez, Jose Palomar, 2010 .

Self-organizing maps and learning vector quantization networks as tools to identify vegetable oils and detect adulterations of extra virgin olive oil

José S. Torrecilla, Mercedes Oliet, Francisco Rodríguez, 2010 .

Separation of toluene from n-heptane by liquid–liquid extraction using binary mixtures of [bpy][BF4] and [4bmpy][Tf2N] ionic liquids as solvent

J. Torrecilla, Julián García, F. Rodríguez, 2012 .

Hazardous aromatic VOC quantification through spectroscopic analysis and intelligent modeling to assess drinking water quality

J. Torrecilla, J. Cancilla, Regina Aroca-Santos, 2016 .

Inputting molecular weights into a multilayer perceptron to estimate refractive indices of dialkylimidazolium-based ionic liquids - A purity evaluation

José S. Torrecilla, John C. Cancilla, Pablo Díaz Rodríguez, 2015, Appl. Soft Comput..

Estimation of ternary liquid-liquid equilibria for arene/alkane/ionic liquid mixtures using neural networks.

Francisco Rodríguez, J. Torrecilla, F. Rodríguez, 2008, Physical chemistry chemical physics : PCCP.

Neural networks applied to determine the thermophysical properties of amino acid based ionic liquids.

John C. Cancilla, J. Torrecilla, J. Cancilla, 2016, Physical chemistry chemical physics : PCCP.

A Highly Sensitive Diketopyrrolopyrrole‐Based Ambipolar Transistor for Selective Detection and Discrimination of Xylene Isomers

H. Haick, C. McNeill, J. Torrecilla, 2016, Advanced materials.

Machine Learning and Feature Selection Applied to SEER Data to Reliably Assess Thyroid Cancer Prognosis

John C. Cancilla, Moustafa Mourad, Sami Moubayed, 2020, Scientific Reports.

Volatile Organic Compound Detection with FET Sensors and Neural Network Data Processing as a Preliminary Step to Early Lung Cancer Diagnosis

Bin Wang, José S. Torrecilla, Hossam Haick, 2014, IJCCI.

Radial basis network analysis to estimate lycopene degradation kinetics in tomato-based products

J. Torrecilla, M. Cámara, M. Sánchez-Mata, 2012 .

A COSMO-RS based guide to analyze/quantify the polarity of ionic liquids and their mixtures with organic cosolvents.

J. Torrecilla, F. Rodríguez, V. Ferro, 2010, Physical chemistry chemical physics : PCCP.

Spectroscopy to evaluate the quality control of extra-virgin olive oils

John C. Cancilla, J. Torrecilla, Sandra Pradana-López, 2021 .

Estimation of ternary liquid-liquid equilibria for arene/alkane/ionic liquid mixtures using neural networks.

J. Torrecilla, F. Rodríguez, K. R. Seddon, 2008, Physical chemistry chemical physics : PCCP.

Neural networks applied to characterize blends containing refined and extra virgin olive oils.

John C. Cancilla, J. Torrecilla, Enrique S. Pariente, 2016, Talanta.

Neural networks to Estimate Physicochemical Properties of Choline Carboxylate Ionic Liquids

José S. Torrecilla, John C. Cancilla, Regina Aroca-Santos, 2016 .

The accurate estimation of physicochemical properties of ternary mixtures containing ionic liquids via artificial neural networks.

John C. Cancilla, J. Torrecilla, P. Díaz-Rodríguez, 2015, Physical chemistry chemical physics : PCCP.

Ionic liquids: determination of their aqueous content using differential scanning calorimeter equipment, chaotic parameters and a radial basis network model.

J. Torrecilla, F. Rodríguez, E. Rojo, 2010, Talanta.

Determination of Physicochemical Properties of Pyridinium-Based Ionic Liquid Binary Mixtures with a Common Component through Neural Networks

John C. Cancilla, J. Torrecilla, P. Díaz-Rodríguez, 2014 .

Aplication of LED technology for food quality control

J. Torrecilla, M. Izquierdo, Ana Moral Rama, 2018 .