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Rapid odor recognition based on reliefF algorithm using electronic nose and its application in fruit identification and classification
Recognition time-consuming and accuracy are two important parameters for an electronic nose (E-nose) system. Most reported E-nose systems were based...
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Identification of apple varieties using hybrid transfer learning and multi-level feature extraction
The process of identifying apple varieties holds pivotal importance in pomology and agricultural science. This intricate task not only aids growers...
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Classification of lemon quality using hybrid model based on Stacked AutoEncoder and convolutional neural network
Agricultural product quality assessment is crucial for determining marketability and managing waste. It helps ensure that products meet industry...
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A comparative study of bread wheat varieties identification on feature extraction, feature selection and machine learning algorithms
Wheat is unquestionably the primary source of sustenance in human dietary intake. The cultivation areas and production capacity of wheat worldwide...
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Prediction of apoptosis signal-regulating kinase 1 (ASK1) inhibition with machine learning methods
Apoptosis signal-regulated kinase 1 (ASK1) has recently confirmed as an attractive therapeutic target for drug discovery. The development of small...
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Bruise Damage Susceptibility of Blueberry and Strawberry
Bruising is the damage to the skin and subcutaneous tissues of the fruits that reduces their commercial potential and makes them more susceptible to...
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Separation of clods and stones from harvested potatoes using laser backscattering imaging technique
Traditionally, the separation of harvested potatoes from foreign materials, such as clods and stones, is performed manually with low efficiency and...
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Features Selection and Extraction in Statistical Analysis of Proteomics Datasets
“Omics” techniques (e.g., proteomics, genomics, metabolomics), from which huge datasets can nowadays be obtained, require a different way of thinking...
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Complementary Use of Multi-dimensional Gas Chromatography and Proton Transfer Reaction Mass Spectrometry for Identification of Rapeseed Oil Quality Indicators
The change of concentration of various volatiles generated during frying may be an indicator of oil quality. Chemical compounds such as aldehydes,...
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Influence of feature rankers in the construction of molecular activity prediction models
In the construction of activity prediction models, the use of feature ranking methods is a useful mechanism for extracting information for ranking...
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Computer Vision Detection of Salmon Muscle Ga** Using Convolutional Neural Network Features
Salmon muscle ga** will lead to the irregular voids or undesirable lace-like appearance in the final product. This study was carried out to develop...
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A Review of Feature Reduction Methods for QSAR-Based Toxicity Prediction
Thousands of molecular descriptorsDescriptors (1D to 4D) can be generated and used as features to modelModel quantitative structure–activity or...
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A novel applicability domain technique for map** predictive reliability across the chemical space of a QSAR: reliability-density neighbourhood
The ability to define the regions of chemical space where a predictive model can be safely used is a necessary condition to assure the reliability of...
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Probing an optimal class distribution for enhancing prediction and feature characterization of plant virus-encoded RNA-silencing suppressors
To counter the host RNA silencing defense mechanism, many plant viruses encode RNA silencing suppressor proteins. These groups of proteins share...
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Towards the Revival of Interpretable QSAR Models
Quantitative structure-activity relationship (QSAR) has been instrumental in aiding medicinal chemists and physical scientists in understanding how...
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Principles and Applications of Light Backscattering Imaging in Quality Evaluation of Agro-food Products: a Review
In recent years, due to the increasing consciousness of quality in the food and health sector, much progress has been made in develo** non-invasive...
