Josef Havel

发表

Cluster Analysis and Artificial Neural Networks MultivariateClassification of Onion Varieties

Eladia María Peña-Méndez, Beatriz Rodriguez Galdo, Josef Havel, 2010 .

MODELING PROCESS DYNAMICS USING A NOVEL NEURAL NETWORK ARCHITECTURE: APPLICATION TO STIRRED CELL MICROFILTRATION

Greg Foley, Josef Havel, Jenny Ní Mhurchú, 2010 .

Method of prediction of the post-mortem interval based on CEanalysis of vitreous humour cations and artificial neuralnetwork (ANN) evaluation including, fuzzy, information

Franco Tagliaro, Federica Bortolotti, Josef Havel, 2001 .

Computational Problems in Evaluation of Colligative PropertyEquilibrium Data

Josef Havel, M. Martínez, Nuria Miralles, 1996 .

Computation of Extraction Equilibria

Josef Havel, J. Havel, 2008 .

for swapping procedure of full to empty bobbin on textile machines, especially in open-end spinning machines, and apparatus for carrying out the method

Josef Havel, Frantisek Dipl Ing Burysek, Milos Dipl Ing Mares, 1973 .

Artificial neural networks in metabolomic studies of human lung carcinoma cell lines by in vitro 1H nuclear magnetic resonance of whole cells

Josef Havel, Michael Gottschalk, Dermot F. Brougham, 2011 .

Carbon nanotubes: toxicological impact on human health and environment

Josef Havel, J. Havel, Gracian Tejral, 2009 .

Application of artificial neural networks for classification of uranium distribution in the Central Rand goldfield, South Africa

Josef Havel, H. Tutu, Ewa Cukrowska, 2005 .

Evaluation of calibration data in capillary electrophoresis using artificial neural networks to increase precision of analysis.

Hua Li, Josef Havel, J. Havel, 2002, Journal of chromatography. A.

Quantification of analytes in overlapping peaks from capillary electrophoresis using multivariate curve resolution‐alternating least squares methods

Fang Zhang, Josef Havel, Hua Li, 2003, Electrophoresis.

Artificial intelligence in pest insect monitoring

Jaromír Vaňhara, Peter Fedor, Josef Havel, 2009 .

Artificial neural networks based on principal component analysis input selection for quantification in overlapped capillary electrophoresis peaks

Josef Havel, Aixia Hou, J. Havel, 2006 .

Artificial neural networks for quantification in unresolved capillary electrophoresis peaks

Josef Havel, Gaston Bocaz-Beneventi, Rosa Latorre, 2002 .

Chalcogenide glasses: preparation, applications, and laser desorption ionisation time-of-flight mass spectrometric study

Josef Havel, Sachinkumar Dagurao Pangavhane, 2011 .

Artificial neural networks for fly identification: A case study from the genera Tachina and Ectophasia (Diptera, Tachinidae)

Jaromír Vaňhara, Josef Havel, Igor Malenovský, 2007, Biologia.

Optimisation of high performance liquid chromatography separation of neuroprotective peptides. Fractional experimental designs combined with artificial neural networks.

Josef Havel, Klára Novotná, J. Havel, 2005, Journal of chromatography. A.

Prediction of retention times for anions in ion chromatography using Artificial Neural Networks

Paul R. Haddad, Josef Havel, John E. Madden, 1999 .

Artificial neural networks combined with experimental design: a "soft" approach for chemical kinetics.

Filippo Amato, Josef Havel, J. Havel, 2012, Talanta.

GOLD AND NANO-GOLD IN MEDICINE: OVERVIEW, TOXICOLOGY AND PERSPECTIVES

Eladia María Peña-Méndez, Josef Havel, J. Havel, 2009 .

Silver or silver nanoparticles: a hazardous threat to the environment and human health?

Eladia María Peña-Méndez, Josef Havel, J. Havel, 2008 .

Neural networks for optimization of high-performance capillary zone electrophoresis methods: A new method using a combination of experimental design and artificial neural networks

Josef Havel, J. Havel, J. Doucet, 1998 .

Multivariate Calibration Approach for Quantitative Determination of Cell-Line Cross Contamination by Intact Cell Mass Spectrometry and Artificial Neural Networks

Petr Vaňhara, Lukáš Kučera, Filippo Amato, 2016, PloS one.

Classification of Slovak white wines using artificial neural networks and discriminant techniques

Branko Balla, Josef Havel, M. Farková, 2009 .

Cluster analysis and artificial neural networks multivariate classification of onion varieties.

Josef Havel, Beatriz Rodríguez Galdón, Carlos Díaz Romero, 2010, Journal of agricultural and food chemistry.

Evaluation of chemical equilibria with the use of artificial neural networks

Josef Havel, Přemysl Lubal, M. Farková, 2002 .

Multicomponent flow injection based analysis with diode array detection and partial least squares multivariate calibration evaluation. Rapid determination of Ca(II) and Mg(II) in waters and dialysis liquids

Josef Havel, O. Hernández, A. I. Jiménez, 1996 .

Predicting sorption of pharmaceuticals and personal care products onto soil and digested sludge using artificial neural networks.

Brett Paull, Josef Havel, Brian Kelleher, 2009, The Analyst.

Artificial neural networks based on genetic input selection for quantification in overlapped capillary electrophoresis peaks.

Josef Havel, Aixia Hou, J. Havel, 2004, Talanta.