Mina Maleki

According to our database1, Mina Maleki authored at least 23 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Enhancing Pedestrian Group Detection and Tracking Through Zone-Based Clustering.
IEEE Access, 2023

State of Health Estimation of Lithium-ion Batteries Using Convolutional Neural Network with Impedance Nyquist Plots.
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

2022
A cluster-driven classification approach to truck stop location identification using passive GPS data.
J. Geogr. Syst., October, 2022

GDSCAN: Pedestrian Group Detection using Dynamic Epsilon.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Occupancy Detection based on WI-FI SysLog Data.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

State of Health Indicator Modeling of Lithium-ion Batteries Using Machine Learning Techniques.
Proceedings of the 2022 IEEE International Conference on Electro Information Technology, 2022

Securing CAN Bus in Connected and Autonomous Vehicles Using Supervised Machine Learning Approaches.
Proceedings of the 2022 IEEE International Conference on Electro Information Technology, 2022

Pedestrian Group Detection with K-Means and DBSCAN Clustering Methods.
Proceedings of the 2022 IEEE International Conference on Electro Information Technology, 2022

2021
Kissing Bugs Identification Using Convolutional Neural Network.
IEEE Access, 2021

Data-Driven State of Charge Estimation of Li-ion Batteries using Supervised Machine Learning Methods.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020
REBD: A Conceptual Framework for Big Data Requirements Engineering.
CoRR, 2020

2018
The predictive performance of short-linear motif features in the prediction of calmodulin-binding proteins.
BMC Bioinform., 2018

2017
Prediction of Calmodulin-Binding Proteins Using Short-Linear Motifs.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017

2015
A Computational Domain-Based Feature Grouping Approach for Prediction of Stability of SCF Ligases.
Proceedings of the Bioinformatics and Biomedical Engineering, 2015

Classification via correlation-based feature grouping.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015

2014
Computational analysis of the stability of SCF ligases employing domain information.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013
Using desolvation energies of structural domains to predict stability of protein complexes.
Netw. Model. Anal. Health Informatics Bioinform., 2013

2012
Using structural domains to predict obligate and non-obligate protein-protein interactions.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012

Prediction of crystal packing and biological protein-protein interactions.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012

Multi-level structural domain-domain interactions for prediction of obligate and non-obligate protein-protein interactions.
Proceedings of the ACM International Conference on Bioinformatics, 2012

2011
Analysis of obligate and non-obligate complexes using desolvation energies in domain-domain interactions.
Proceedings of the Tenth International Workshop on Data Mining in Bioinformatics, 2011

Domain-domain interactions in obligate and non-obligate protein-protein interactions.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

Analysis of relevant physicochemical properties in obligate and non-obligate protein-protein interactions.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011


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