Application of deep brief network in transmission spectroscopy detection of pesticide residues in lettuce leaves

Classification methods of a small sample target object in the sky based on the higher layer visualizing feature and transfer learning deep networks

(2018) Yu Chen et al.   EURASIP Journal on Wireless Communications and Networking

Quantitative detection of mixed pesticide residue of lettuce leaves based on hyperspectral technique

(2017) Jun Sun et al.   JOURNAL OF FOOD PROCESS ENGINEERING

Emotion Recognition from Chinese Speech for Smart Affective Services Using a Combination of SVM and DBN

(2017) Lianzhang Zhu et al.   SENSORS

Deep belief network based deterministic and probabilistic wind speed forecasting approach

(2016) H.Z. Wang et al.   APPLIED ENERGY

Deep belief network based electricity load forecasting: An analysis of Macedonian case

(2016) Aleksandra Dedinec et al.   ENERGY

Quantifying Total Viable Count in Pork Meat Using Combined Hyperspectral Imaging and Artificial Olfaction Techniques

(2016) Huanhuan Li et al.   Food Analytical Methods

Perception of bitterness, sweetness and liking of different genotypes of lettuce

(2016) M. Chadwick et al.   FOOD CHEMISTRY

Metagenomic analysis of viruses associated with field-grown and retail lettuce identifies human and animal viruses

(2016) Tiong Gim Aw et al.   INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY

Discrimination of pesticide residues in lettuce based on chemical molecular structure coupled with wavelet transform and near infrared hyperspectra

(2016) Jun Sun et al.   JOURNAL OF FOOD PROCESS ENGINEERING

Incidence of Lettuce mosaic virus in lettuce and its detection by polyclonal antibodies produced against recombinant coat protein expressed in Escherichia coli

(2016) Prachi Sharma et al.   JOURNAL OF VIROLOGICAL METHODS

Nondestructive detection of total volatile basic nitrogen (TVB-N) content in pork meat by integrating hyperspectral imaging and colorimetric sensor combined with a nonlinear data fusion

(2015) Huanhuan Li et al.   LWT-FOOD SCIENCE AND TECHNOLOGY

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Urban Land Use and Land Cover Classification Using Remotely Sensed SAR Data through Deep Belief Networks

(2015) Qi Lv et al.   Journal of Sensors

An Efficient Learning Procedure for Deep Boltzmann Machines

(2012) Ruslan Salakhutdinov et al.   NEURAL COMPUTATION

Representational Power of Restricted Boltzmann Machines and Deep Belief Networks

(2008) Nicolas Le Roux et al.   NEURAL COMPUTATION