DWTLSTM for electronic nose signal processing in beef quality monitoring

Noise filtering framework for electronic nose signals: An application for beef quality monitoring

(2019) Dedy Rahman Wijaya et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification

(2018) Özal Yildirim   COMPUTERS IN BIOLOGY AND MEDICINE

Web traffic anomaly detection using C-LSTM neural networks

(2018) Tae-Young Kim et al.   EXPERT SYSTEMS WITH APPLICATIONS

Novel architecture for long short-term memory used in question classification

(2018) Wei Xia et al.   NEUROCOMPUTING

Input quality aware convolutional LSTM networks for virtual marine sensors

(2018) Stefan Oehmcke et al.   NEUROCOMPUTING

Photo-realistic 2D expression transfer based on FFT and modified Poisson image editing

(2018) Chunna Tian et al.   NEUROCOMPUTING

A Deep Spatial-Temporal Ensemble Model for Air Quality Prediction

(2018) Junshan Wang et al.   NEUROCOMPUTING

Remaining useful life estimation of engineered systems using vanilla LSTM neural networks

(2018) Yuting Wu et al.   NEUROCOMPUTING

An overview of smart packaging technologies for monitoring safety and quality of meat and meat products

(2018) Ishfaq Ahmed et al.   PACKAGING TECHNOLOGY AND SCIENCE

On the Temporal Stability of Analyte Recognition with an E-Nose Based on a Metal Oxide Sensor Array in Practical Applications

(2018) Ilia Kiselev et al.   SENSORS

Wavelet Decomposition and Convolutional LSTM Networks Based Improved Deep Learning Model for Solar Irradiance Forecasting

(2018) Fei Wang et al.   Applied Sciences-Basel

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

(2017) Vassilis S. Kodogiannis   Food and Bioprocess Technology

Electronic noses: Powerful tools in meat quality assessment

(2017) Wojciech Wojnowski et al.   MEAT SCIENCE

Using LSTM recurrent neural networks for monitoring the LHC superconducting magnets

(2017) Maciej Wielgosz et al.   NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT

A novel framework for analyzing MOS E-nose data based on voting theory: Application to evaluate the internal quality of Chinese pecans

(2017) Shui Jiang et al.   SENSORS AND ACTUATORS B-CHEMICAL

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems

Ensemble-based support vector machine classifiers as an efficient tool for quality assessment of beef fillets from electronic nose data

(2016) Fady Mohareb et al.   Analytical Methods

A portable electronic nose as an expert system for aroma-based classification of saffron

(2016) Sajad Kiani et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

E-nose system by using neural networks

(2016) Sigeru Omatu et al.   NEUROCOMPUTING

World meat consumption patterns: An overview of the last fifty years (1961–2011)

(2015) P. Sans et al.   MEAT SCIENCE

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

Pattern Recognition for Selective Odor Detection with Gas Sensor Arrays

(2012) Eungyeong Kim et al.   SENSORS

Meat and Fish Freshness Inspection System Based on Odor Sensing

(2012) Najam Hasan et al.   SENSORS

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Metal Oxide Gas Sensors: Sensitivity and Influencing Factors

(2010) Chengxiang Wang et al.   SENSORS

An Electronic Nose Network System for Online Monitoring of Livestock Farm Odors

(2009) Leilei Pan et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Neural networks-integrated metal oxide-based artificial olfactory system for meat spoilage identification

(2008) S. Balasubramanian et al.   JOURNAL OF FOOD ENGINEERING

Electronic Nose Based on Metal Oxide Semiconductor Sensors as an Alternative Technique for the Spoilage Classification of Red Meat

(2008) Noureddine El Barbri et al.   SENSORS