Praisler Mirela

About Praisler Mirela

Praisler Mirela, With an exceptional h-index of 19 and a recent h-index of 10 (since 2020), a distinguished researcher at Universitatea Dunarea de Jos din Galati, specializes in the field of inteligenta artificiala.

His recent articles reflect a diverse array of research interests and contributions to the field:

Experimental and computational studies of 3-(N-morpholinylcarbodithioate)-2-(4-methoxyphenyl) chroman-4-one, a flavanone with potential therapeutical properties

Harnessing Deep Convolutional Neural Networks Detecting Synthetic Cannabinoids: A Hybrid Learning Strategy for Handling Class Imbalances in Limited Datasets

Evaluation of physico-chemical parameters of some psychoactive compounds based on molecular modeling

Spectral identification of cannabinoids

Machine Learning Systems Detecting Illicit Drugs Based on Their ATR-FTIR Spectra

Artificial Neural Networks Screening for JWH Synthetic Cannabinoids: a Comparative Analysis Regarding their Specificity and Accuracy

Computerized Detection of JWH Synthetic Cannabinoids Class Membership Based on Machine Learning Algorithms and Molecular Descriptors

Molecular descriptors-a mathematical approach to characterize psychedelic substances

Praisler Mirela Information

University

Position

___

Citations(all)

1122

Citations(since 2020)

549

Cited By

855

hIndex(all)

19

hIndex(since 2020)

10

i10Index(all)

26

i10Index(since 2020)

12

Email

University Profile Page

Universitatea Dunarea de Jos din Galati

Google Scholar

View Google Scholar Profile

Praisler Mirela Skills & Research Interests

inteligenta artificiala

Top articles of Praisler Mirela

Title

Journal

Author(s)

Publication Date

Experimental and computational studies of 3-(N-morpholinylcarbodithioate)-2-(4-methoxyphenyl) chroman-4-one, a flavanone with potential therapeutical properties

Journal of Molecular Structure

Steluța Gosav

Mirela Praisler

Nicoleta Păduraru Cristea

Teodora Gosav

Cristina Paraschiv

2024/1/5

Harnessing Deep Convolutional Neural Networks Detecting Synthetic Cannabinoids: A Hybrid Learning Strategy for Handling Class Imbalances in Limited Datasets

Inventions

Catalina Mercedes Burlacu

Adrian Constantin Burlacu

Mirela Praisler

Cristina Paraschiv

2023/10/16

Evaluation of physico-chemical parameters of some psychoactive compounds based on molecular modeling

Analele Universității” Dunărea de Jos” din Galați. Fascicula II, Matematică, fizică, mecanică teoretică/Annals of the” Dunarea de Jos” University of Galati. Fascicle II, Mathematics, Physics, Theoretical Mechanics

Iulia-Florentina Darie

Steluta Gosav

Mirela Praisler

2023/9/11

Spectral identification of cannabinoids

Cristina Paraschiv

Mirela Praisler

2023/9/11

Machine Learning Systems Detecting Illicit Drugs Based on Their ATR-FTIR Spectra

Inventions

Iulia-Florentina Darie

Stefan Razvan Anton

Mirela Praisler

2023/3/13

Artificial Neural Networks Screening for JWH Synthetic Cannabinoids: a Comparative Analysis Regarding their Specificity and Accuracy

Catalina Mercedes Burlacu

Steluta Gosav

Bianca Andreea Burlacu

Mirela Praisler

2022/11/17

Computerized Detection of JWH Synthetic Cannabinoids Class Membership Based on Machine Learning Algorithms and Molecular Descriptors

Catalina Mercedes Burlacu

Mirela Praisler

Adrian Constantin Burlacu

2022/5/19

Molecular descriptors-a mathematical approach to characterize psychedelic substances

Analele Universității” Dunărea de Jos” din Galați. Fascicula II, Matematică, fizică, mecanică teoretică/Annals of the” Dunarea de Jos” University of Galati. Fascicle II, Mathematics, Physics, Theoretical Mechanics

Iulia-Florentina Darie

Mirela Praisler

Steluța Gosav

2022/10/13

Cannabinoids: an exploratory review

Cristina Paraschiv Nedelcu

Mirela Praisler

2022/10/13

Vibrational analysis of hallucinogenic amphetamines

Analele Universității” Dunărea de Jos” din Galați. Fascicula II, Matematică, fizică, mecanică teoretică/Annals of the” Dunarea de Jos” University of Galati. Fascicle II, Mathematics, Physics, Theoretical Mechanics

Iulia-Florentina Darie

Mirela Praisler

2022/10/13

Principal Component Analysis Assessing the Potential Clustering of 2C-x and DOx Amphetamines

Iulia–Florentina Darie

Mirela Praisler

2022/11/17

Sensitivity Analysis of Artificial Neural Networks Identifying JWH Synthetic Cannabinoids Built with Alternative Training Strategies and Methods

Inventions

Catalina Mercedes Burlacu

Adrian Constantin Burlacu

Mirela Praisler

2022/9/13

Physico-chemical analysis, systematic benchmarking, and toxicological aspects of the JWH aminoalkylindole class-derived synthetic JWH cannabinoids

Analele Universității” Dunărea de Jos” din Galați. Fascicula II, Matematică, fizică, mecanică teoretică/Annals of the” Dunarea de Jos” University of Galati. Fascicle II, Mathematics, Physics, Theoretical Mechanics

Catalina Mercedes Burlacu

Adrian Constantin Burlacu

Mirela Praisler

2021/11/12

Automatic identification of NBOMe illicit psychoactive substances based on combined molecular descriptors

MATEC Web of Conferences

Adelina Ion

Mirela Praisler

Catalina Mercedes Burlacu

Nicolae Catalin Stanica

2021

Convolutional Neural Network Detecting Synthetic Cannabinoids

Catalina Mercedes Burlacu

Steluta Gosav

Bianca Andreea Burlacu

Mirela Praisler

2021/11/18

Automatic identification of hallucinogenic amphetamines based on their ATR-FTIR spectra processed with Convolutional Neural Networks

MATEC Web of Conferences

Catalin Negoita

Mirela Praisler

Iulia-Florentina Darie

2021

2C-x and DOx hallucinogens: a systematic review

Iulia-Florentina Darie

Mirela Praisler

Catalin Negoita

2021/11/12

Molecular descriptors–an useful tool for assessing the physico-chemical properties of hallucinogenic drugs of abuse

Analele Universității” Dunărea de Jos” din Galați. Fascicula II, Matematică, fizică, mecanică teoretică/Annals of the” Dunarea de Jos” University of Galati. Fascicle II, Mathematics, Physics, Theoretical Mechanics

Adelina Ion

Mirela Praisler

Steluta Gosav

2021/11/12

Comparative study of DFT, AM1, and PM3 optimization methods modeling new psychotropic amphetamines

Analele Universității” Dunărea de Jos” din Galați. Fascicula II, Matematică, fizică, mecanică teoretică/Annals of the” Dunarea de Jos” University of Galati. Fascicle II, Mathematics, Physics, Theoretical Mechanics

Adelina Ion

Mirela Praisler

Steluta Gosav

2021/11/12

Machine Learning Tool Detecting NBOMe Drugs of Abuse based on Geometrical Descriptors

Adelina Ion

Steluta Gosav

Mirela Praisler

Teodora Gosav

2020/10/29

See List of Professors in Praisler Mirela University(Universitatea Dunarea de Jos din Galati)