Mohammad-Hossein Nadimi-Shahraki

Orcid: 0000-0002-0135-1115

Affiliations:
  • Islamic Azad University, Najafabad, Iran


According to our database1, Mohammad-Hossein Nadimi-Shahraki authored at least 42 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
MTV-SCA: multi-trial vector-based sine cosine algorithm.
Clust. Comput., December, 2024

Optimal locating by integrating volumetric fuzzy sets and geographic coordinate system: An application to healthcare.
Comput. Oper. Res., January, 2024

Automatic deep sparse clustering with a dynamic population-based evolutionary algorithm using reinforcement learning and transfer learning.
Image Vis. Comput., 2024

A systematic review of applying grey wolf optimizer, its variants, and its developments in different Internet of Things applications.
Internet Things, 2024

An evolutionary crow search algorithm equipped with interactive memory mechanism to optimize artificial neural network for disease diagnosis.
Biomed. Signal Process. Control., 2024

2023
DAerosol-NTM: applying deep learning and neural Turing machine in aerosol prediction.
Neural Comput. Appl., December, 2023

Segmentation of thermographies from electronic systems by using the global-best brain storm optimization algorithm.
Multim. Tools Appl., December, 2023

Air quality particulate-pollution prediction applying GAN network and the Neural Turing Machine.
Appl. Soft Comput., November, 2023

Fuzzy sign-aware diffusion models for influence maximization in signed social networks.
Inf. Sci., October, 2023

BE-GWO: Binary extremum-based grey wolf optimizer for discrete optimization problems.
Appl. Soft Comput., October, 2023

Automatic Deep Sparse Multi-Trial Vector-based Differential Evolution clustering with manifold learning and incremental technique.
Image Vis. Comput., August, 2023

An Effective Imputation Method Using Data Enrichment for Missing Data of Loop Detectors in Intelligent Traffic Control Systems.
Remote. Sens., July, 2023

2022
Efficient text document clustering approach using multi-search Arithmetic Optimization Algorithm.
Knowl. Based Syst., 2022

GGWO: Gaze cues learning-based grey wolf optimizer and its applications for solving engineering problems.
J. Comput. Sci., 2022

DMDE: Diversity-maintained multi-trial vector differential evolution algorithm for non-decomposition large-scale global optimization.
Expert Syst. Appl., 2022

Enhanced whale optimization algorithm for medical feature selection: A COVID-19 case study.
Comput. Biol. Medicine, 2022

Improved data clustering using multi-trial vector-based differential evolution with gaussian crossover.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
MTV-MFO: Multi-Trial Vector-Based Moth-Flame Optimization Algorithm.
Symmetry, 2021

A Shallow 1-D Convolution Neural Network for Fetal State Assessment Based on Cardiotocogram.
SN Comput. Sci., 2021

An intelligent social-based method for rail-car fleet sizing problem.
J. Rail Transp. Plan. Manag., 2021

An improved grey wolf optimizer for solving engineering problems.
Expert Syst. Appl., 2021

An Improved Moth-Flame Optimization Algorithm with Adaptation Mechanism to Solve Numerical and Mechanical Engineering Problems.
Entropy, 2021

QANA: Quantum-based avian navigation optimizer algorithm.
Eng. Appl. Artif. Intell., 2021

B-MFO: A Binary Moth-Flame Optimization for Feature Selection from Medical Datasets.
Comput., 2021

R-GWO: Representative-based grey wolf optimizer for solving engineering problems.
Appl. Soft Comput., 2021

DMFO-CD: A Discrete Moth-Flame Optimization Algorithm for Community Detection.
Algorithms, 2021

2020
MTDE: An effective multi-trial vector-based differential evolution algorithm and its applications for engineering design problems.
Appl. Soft Comput., 2020

Multi-Class Cardiovascular Diseases Diagnosis from Electrocardiogram Signals using 1-D Convolution Neural Network.
Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020

2019
EFP-tree: an efficient FP-tree for incremental mining of frequent patterns.
Int. J. Data Min. Model. Manag., 2019

Binary Sine Cosine Algorithms for Feature Selection from Medical Data.
CoRR, 2019

CCSA: Conscious Neighborhood-based Crow Search Algorithm for Solving Global Optimization Problems.
Appl. Soft Comput., 2019

2018
Incremental mining maximal frequent patterns from univariate uncertain data.
Knowl. Based Syst., 2018

2016
An adaptive fuzzy threshold-based approach for energy and performance efficient consolidation of virtual machines.
Computing, 2016

2015
Using J48 Tree Partitioning for scalable SVM in Spam Detection.
Comput. Inf. Sci., 2015

Efficient data preparation techniques for diabetes detection.
Proceedings of the IEEE EUROCON 2015, 2015

2014
A framework for context-aware web service composition using planning techniques.
Multiagent Grid Syst., 2014

Cold-start Problem in Collaborative Recommender Systems: Efficient Methods Based on Ask-to-rate Technique.
J. Comput. Inf. Technol., 2014

2011
Efficient prime-based method for interactive mining of frequent patterns.
Expert Syst. Appl., 2011

2010
Efficient Candidacy Reduction For Frequent Pattern Mining
CoRR, 2010

2009
A Prime Number-Based Method for Interactive Frequent Pattern Mining.
Proceedings of The 2009 International Conference on Data Mining, 2009

2008
PC_Tree: Prime-Based and Compressed Tree for Maximal Frequent Patterns Mining.
Proceedings of the Advances in Electrical Engineering and Computational Science, 2008

A New Algorithm for Discovery Maximal Frequent Itemsets.
Proceedings of The 2008 International Conference on Data Mining, 2008


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