Application of an Electronic Nose Coupled with Fuzzy-Wavelet Network for the Detection of Meat Spoilage

A Novel Wavelet-Based Ensemble Method for Short-Term Load Forecasting with Hybrid Neural Networks and Feature Selection

(2016) Song Li et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

An intelligent decision support system for the detection of meat spoilage using multispectral images

(2016) Abeer Alshejari et al.   NEURAL COMPUTING & APPLICATIONS

Bacterial populations and the volatilome associated to meat spoilage

(2015) Annalisa Casaburi et al.   FOOD MICROBIOLOGY

Optimization of neural networks for precipitation analysis in a humid region to detect drought and wet year alarms

(2015) Mohammad Valipour   METEOROLOGICAL APPLICATIONS

An adaptive neuro-fuzzy identification model for the detection of meat spoilage

(2014) Vassilis S. Kodogiannis et al.   APPLIED SOFT COMPUTING

An intelligent based decision support system for the detection of meat spoilage

(2014) Vassilis S. Kodogiannis et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Electronic Noses for Environmental Monitoring Applications

(2014) Laura Capelli et al.   SENSORS

Rapid measuring and modelling flavour quality changes of oxidised chicken fat by electronic nose profiles through the partial least squares regression analysis

(2013) Shiqing Song et al.   FOOD CHEMISTRY

Identification of meat-associated pathogens via Raman microspectroscopy

(2013) Susann Meisel et al.   FOOD MICROBIOLOGY

A CLUSTERING-BASED FUZZY WAVELET NEURAL NETWORK MODEL FOR SHORT-TERM LOAD FORECASTING

(2013) VASSILIS S. KODOGIANNIS et al.   International Journal of Neural Systems

Analysis of pork adulteration in minced mutton using electronic nose of metal oxide sensors

(2013) Xiaojing Tian et al.   JOURNAL OF FOOD ENGINEERING

A method for nondestructive prediction of pork meat quality and safety attributes by hyperspectral imaging technique

(2013) Feifei Tao et al.   JOURNAL OF FOOD ENGINEERING

Sensory and microbiological quality assessment of beef fillets using a portable electronic nose in tandem with support vector machine analysis

(2012) Olga S. Papadopoulou et al.   FOOD RESEARCH INTERNATIONAL

Comparison of the ARMA, ARIMA, and the autoregressive artificial neural network models in forecasting the monthly inflow of Dez dam reservoir

(2012) Mohammad Valipour et al.   JOURNAL OF HYDROLOGY

Identification of the Listeria monocytogenes survival curves in UHT whole milk utilising local linear wavelet neural networks

(2011) M. Amina et al.   EXPERT SYSTEMS WITH APPLICATIONS

Evaluation of technique to overcome small dataset problems during neural-network based contamination classification of packaged beef using integrated olfactory sensor system

(2011) Lav R. Khot et al.   LWT-FOOD SCIENCE AND TECHNOLOGY

Rapid identification of pork for halal authentication using the electronic nose and gas chromatography mass spectrometer with headspace analyzer

(2011) M. Nurjuliana et al.   MEAT SCIENCE

Prediction of total viable counts on chilled pork using an electronic nose combined with support vector machine

(2011) Danfeng Wang et al.   MEAT SCIENCE

A new feature extraction method for odour classification

(2011) Bernd Ehret et al.   SENSORS AND ACTUATORS B-CHEMICAL

Wavelet neural networks for modelling high pressure inactivation kinetics of Listeria monocytogenes in UHT whole milk

(2010) M. Amina et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Evaluation of Three Electronic Noses for Detecting Incipient Wood Decay

(2010) Manuela Baietto et al.   SENSORS

Support-Vector Regression for Permeability Prediction in a Heterogeneous Reservoir: A Comparative Study

(2010) Ammal F. Al-anazi et al.   SPE RESERVOIR EVALUATION & ENGINEERING

Fourier transform infrared spectroscopy (FTIR) as a tool for discriminating Salmonella typhimurium contaminated beef

(2010) Jayendra K. Amamcharla et al.   Journal of Food Measurement and Characterization

Weighted least squares support vector machine local region method for nonlinear time series prediction

(2009) Tingwei Quan et al.   APPLIED SOFT COMPUTING

Bio-Benchmarking of Electronic Nose Sensors

(2009) Amalia Z. Berna et al.   PLoS One

Meat Quality Assessment by Electronic Nose (Machine Olfaction Technology)

(2009) Mahdi Ghasemi-Varnamkhasti et al.   SENSORS

Rapid qualitative and quantitative detection of beef fillets spoilage based on Fourier transform infrared spectroscopy data and artificial neural networks

(2009) A.A. Argyri et al.   SENSORS AND ACTUATORS B-CHEMICAL

Fuzzy Wavelet Neural Networks for Identification and Control of Dynamic Plants—A Novel Structure and a Comparative Study

(2008) R.H. Abiyev et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Application of neural networks as a non-linear modelling technique in food mycology

(2007) E.Z. Panagou et al.   EXPERT SYSTEMS WITH APPLICATIONS

Independent component analysis-processed electronic nose data for predicting Salmonella typhimurium populations in contaminated beef

(2007) S. Balasubramanian et al.   FOOD CONTROL