Quantitative structure-property relationship modelling for predicting retention indices of essential oils based on an improved horse herd optimization algorithm
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Quantitative structure-property relationship modelling for predicting retention indices of essential oils based on an improved horse herd optimization algorithm
Authors
Keywords
-
Journal
SAR AND QSAR IN ENVIRONMENTAL RESEARCH
Volume 34, Issue 10, Pages 831-846
Publisher
Informa UK Limited
Online
2023-10-27
DOI
10.1080/1062936x.2023.2261855
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A binary chaotic horse herd optimization algorithm for feature selection
- (2023) Esin Ayşe Zaimoğlu et al. Engineering Science and Technology-An International Journal-JESTECH
- A Horse Herd Optimization Algorithm (HOA)-Based MPPT Technique under Partial and Complex Partial Shading Conditions
- (2022) Sajid Sarwar et al. Energies
- A novel approach for spam detection using horse herd optimization algorithm
- (2022) Ali Hosseinalipour et al. NEURAL COMPUTING & APPLICATIONS
- Binary Horse Optimization Algorithm for Feature Selection
- (2022) Dorin Moldovan Algorithms
- Optimization of mechanical properties and composition of M-sand and pet particle added concrete using hybrid deep neural network-horse herd optimization algorithm
- (2022) R. Anjali et al. CONSTRUCTION AND BUILDING MATERIALS
- Binary Horse herd optimization algorithm with crossover operators for feature selection
- (2021) Mohammed A. Awadallah et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Novel binary differential evolution algorithm based on Taper-shaped transfer functions for binary optimization problems
- (2021) Yichao He et al. Swarm and Evolutionary Computation
- Z-Shaped Transfer Functions for Binary Particle Swarm Optimization Algorithm
- (2020) Sha-sha Guo et al. Computational Intelligence and Neuroscience
- Feature selection based on chaotic binary black hole algorithm for data classification
- (2020) Omar Saber Qasim et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- QSAR models for the fumigant activity prediction of essential oils
- (2020) Pablo R. Duchowicz et al. JOURNAL OF MOLECULAR GRAPHICS & MODELLING
- Horse herd optimization algorithm: A nature-inspired algorithm for high-dimensional optimization problems
- (2020) Farid MiarNaeimi et al. KNOWLEDGE-BASED SYSTEMS
- Research and Application of a Novel Combined Model Based on Multiobjective Optimization for Multistep-Ahead Electric Load Forecasting
- (2019) Zhang et al. Energies
- Multi-strategy boosted mutative whale-inspired optimization approaches
- (2019) Jie Luo et al. APPLIED MATHEMATICAL MODELLING
- Synthesis and in vitro evaluation of peracetyl and deacetyl glycosides of eugenol, isoeugenol and dihydroeugenol acting against food-contaminating bacteria
- (2017) Déborah Braga Resende et al. FOOD CHEMISTRY
- Essential oil composition, total phenolic, flavonoid contents, and antioxidant activity of Thymus species collected from different regions of Iran
- (2017) Behnaz Tohidi et al. FOOD CHEMISTRY
- A new adaptive L1-norm for optimal descriptor selection of high-dimensional QSAR classification model for anti-hepatitis C virus activity of thiourea derivatives
- (2017) Z. Y. Algamal et al. SAR AND QSAR IN ENVIRONMENTAL RESEARCH
- A sparse QSRR model for predicting retention indices of essential oils based on robust screening approach
- (2017) A. M. Al-Fakih et al. SAR AND QSAR IN ENVIRONMENTAL RESEARCH
- A potential biopreservative: Chemical composition, antibacterial and hemolytic activities of leaves essential oil from Alpinia guinanensis
- (2016) Jingdan Deng et al. INDUSTRIAL CROPS AND PRODUCTS
- Quantitative structure-activity relationship model for prediction study of corrosion inhibition efficiency using two-stage sparse multiple linear regression
- (2016) Abdo Mohammed Al-Fakih et al. JOURNAL OF CHEMOMETRICS
- Application of a quantitative structure retention relationship approach for the prediction of the two-dimensional gas chromatography retention times of polycyclic aromatic sulfur heterocycle compounds
- (2016) Rafal Gieleciak et al. JOURNAL OF CHROMATOGRAPHY A
- Quantitative structure-retention relationship of selected imidazoline derivatives on α1-acid glycoprotein column
- (2016) Slavica Filipic et al. JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
- Liquid chromatography coupled to quadrupole-time of flight tandem mass spectrometry based quantitative structure–retention relationships of amino acid analogues derivatized via n-propyl chloroformate mediated reaction
- (2015) Nikolaos Kritikos et al. JOURNAL OF CHROMATOGRAPHY A
- Chemometric model for predicting retention indices of constituents of essential oils
- (2012) Li-Tang Qin et al. CHEMOSPHERE
- QSRR modeling for diverse drugs using different feature selection methods coupled with linear and nonlinear regressions
- (2012) Mohammad Goodarzi et al. JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES
- S-shaped versus V-shaped transfer functions for binary Particle Swarm Optimization
- (2012) Seyedali Mirjalili et al. Swarm and Evolutionary Computation
- QSRR models for potential local anaesthetic drugs using high performance liquid chromatography
- (2011) Tatiana Durcekova et al. JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
- Comparative chemical composition, free radical-scavenging and cytotoxic properties of essential oils of six Stachys species from different regions of the Mediterranean Area
- (2009) Filomena Conforti et al. FOOD CHEMISTRY
- Comparative evaluation of the antibacterial activities of the essential oils of Rosmarinus officinalis L. obtained by hydrodistillation and solvent free microwave extraction methods
- (2009) O.O. Okoh et al. FOOD CHEMISTRY
- Smoothly Clipped Absolute Deviation on High Dimensions
- (2009) Yongdai Kim et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- QSRR Study of GC Retention Indices of Essential-Oil Compounds by Multiple Linear Regression with a Genetic Algorithm
- (2008) Siavash Riahi et al. CHROMATOGRAPHIA
- Investigation of different linear and nonlinear chemometric methods for modeling of retention index of essential oil components: Concerns to support vector machine
- (2008) Siavash Riahi et al. JOURNAL OF HAZARDOUS MATERIALS
- Potential antimicrobial uses of essential oils in food: is citrus the answer?
- (2007) Katie Fisher et al. TRENDS IN FOOD SCIENCE & TECHNOLOGY
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started