Search
Search Results
-
Convolutional neural network-support vector machine-based approach for identification of wheat hybrids
Selecting wheat hybrids is vital for enhancing crop yield, adapting to changing climates, and ensuring food security. These hybrids align with market...
-
ResNeXt-SVM: a novel strawberry appearance quality identification method based on ResNeXt network and support vector machine
The identification of strawberry appearance quality is a crucial step to harvest fruits and can assist robotic picking in modern agricultural...
-
Evolution of Support Vector Machine and Regression Modeling in Chemoinformatics and Drug Discovery
The support vector machine (SVM) algorithm is one of the most widely used machine learning (ML) methods for predicting active compounds and molecular...
-
Application of machine learning to predict the yield of alginate lyase solid-state fermentation by Cunninghamella echinulata: artificial neural networks and support vector machine
This work was aimed at applying machine learning techniques to predict Semi-Solid Fermentation (SSF) yield using Cunninghamella echinulata fungus for...
-
Robust and Accurate Classification of Mutton Adulteration Under Food Additives Effect Based on Multi-Part Depth Fusion Features and Optimized Support Vector Machine
The adulteration of pork mixed in mutton is pervasive in the market. However, when the adulterated mutton with multi-part pork is mixed, the...
-
Nondestructive Prediction of Mechanical Parameters to Apple Using Hyperspectral Imaging by Support Vector Machine
This study proposes a method for predicting the mechanical parameters of apple after impact damage based on hyperspectral imaging with the range of...
-
Identification of Natural Gas Components Using the Support Vector Machine Model
Identification of natural gas components is vital for the natural gas measurement and determination of the gas flow. The accurate evaluation of the...
-
QSRR modeling of the chromatographic retention behavior of some quinolone and sulfonamide antibacterial agents using firefly algorithm coupled to support vector machine
Quinolone and sulfonamide are two classes of antibacterial agents with an opulent history of medicinal chemistry features that contribute to their...
-
Multi-kernel support vector regression optimization model and indirect health factor extraction strategy for the accurate lithium-ion battery remaining useful life prediction
Remaining useful life (RUL) of lithium-ion batteries is an important indicator for battery health management, and accurate prediction can promote...
-
Hybrid gray wolf optimization method in support vector regression framework for highly precise prediction of remaining useful life of lithium-ion batteries
The prediction of remaining useful life (RUL) of lithium-ion batteries takes a critical effect in the battery management system, and precise...
-
Automatic anomaly detection in engineering diagrams using machine learning
This study implements a method of automating anomaly detection in engineering diagrams by extracting patterns within graphs after recognizing graphs...
-
Support Vector Models-Based Quantitative Structure–Retention Relationship (QSRR) in the Development and Validation of RP-HPLC Method for Multi-component Analysis of Anti-diabetic Drugs
This work emphasized the use of the quantitative structure–retention relationship (QSRR) approach in the prediction retention time of anti-diabetic...
-
Auto-classification of biomass through characterization of their pyrolysis behaviors using thermogravimetric analysis with support vector machine algorithm: case study for tobacco
BackgroundDuring the biomass-to-bio-oil conversion process, many studies focus on studying the association between biomass and bio-products using...
-
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...
-
Comprehensive machine learning boosts structure-based virtual screening for PARP1 inhibitors
Poly ADP-ribose polymerase 1 (PARP1) is an attractive therapeutic target for cancer treatment. Machine-learning scoring functions constitute a...
-
ADis-QSAR: a machine learning model based on biological activity differences of compounds
Drug candidates identified by the pharmaceutical industry typically have unique structural characteristics to ensure they interact strongly and...
-
Investigating the Performance of Machine Learning Methods in Predicting Functional Properties of the Hydrogenase Variants
Improving a functional property of an enzyme via mutagenesis is still a challenging problem due to vast search space and difficulty of predicting the...
-
Rapid identification of adulterated rice based on data fusion of near-infrared spectroscopy and machine vision
Rice is susceptible to mold and mildew during storage. Metabolites such as aflatoxin produced during mildew have great harm to the health of...
-
Prediction of IC engine performance and emission parameters using machine learning: A review
The human kind is facing various natural calamities such as Elnino, forest fires, climate change, etc., due to environmental degradation and...
-
Integration of Optical Property Map** and Machine Learning for Real-Time Classification of Early Bruises of Apples
Real-time detection and classification of bruised apples are critical to appropriate postharvest handling. However, the early bruises are hard to...
