Zahra-Asghari's Stars
ramprs/grad-cam
[ICCV 2017] Torch code for Grad-CAM
aliasgharheidaricom/Harris-Hawks-Optimization-Algorithm-and-Applications
Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).
aliasgharheidaricom/RIME-A-physics-based-optimization
RIME A physics based optimization algorithm, Neurocomputing, 2023 https://doi.org/10.1016/j.neucom.2023.02.010, This paper proposes an efficient optimization algorithm based on the physical phenomenon of rime-ice
aliasgharheidaricom/Parrot-optimizer-Algorithm-and-applications-to-medical-problems
The source codes of Parrot optimizer are also publicly available at https://aliasgharheidari.com/PO.html, This study presents the analysis and principle of an effective algorithm to optimize different problems.
HodaZamani/HodaZamani.github.io
HodaZamani/Optimization-Matlab-Codes
HodaZamani/HodaZamani
aliasgharheidaricom/Ali-Asghar-Heidari
Ali Asghar Heidari has been an Exceptionally Talented Researcher with the School of Computing, National University of Singapore (NUS), University of Tehran, and an elite researcher of Iran’s National Elites Foundation (INEF). He was born in 1989 and has studied information systems as an outstanding ranked one student with several awards from the College of Engineering, University of Tehran. He has been ranked among the top scientists for Computer science prepared by Guide2Research (https://www.guide2research.com/u/ali-asghar-heidari), the best portal for computer science research, as an outstanding researcher with an impressive record of cooperation on many international research projects with different top researchers from the optimization and artificial intelligence community. He has been ranked in the world’s top 2% scientists list of Stanford University, and Publons has recognized him as the top 1% peer reviewer in computer science and cross-field because he has reviewed more than 350 ISI papers for top journals he published on them. He has authored more than 110 research articles with over 6300 citations (i10-index of 74 and H-index of 44) in prestigious international journals, such as IEEE internet of thing, IEEE Transactions on Industrial Informatics, Information Fusion, Information Sciences, Future Generation Computer Systems, Renewable, and Sustainable Energy Reviews, Energy, Cleaner Production, Energy Reports, Energy Conversion and Management, Applied Soft Computing, Knowledge-Based Systems, IEEE Access, and Expert Systems with Applications. He has several highly cited and hot cited articles. His research interests include performance optimization, advanced machine learning, evolutionary computation, optimization, prediction, solar energy, information systems, and mathematical modeling. He was the second top reviewer and “outstanding reviewer” of applied soft computing journal in 2018. For more information, researchers can refer to his website https://aliasgharheidari.com.
Zahra-Asghari/data-science-resources
A list of resources for data science, machine learning, artificial intelligence, data and text analytics, and data visualization.
Zahra-Asghari/Deep-text-clustering
Deep text clustering using stacked Autoencoder
Zahra-Asghari/SystematicReview-of-GWO-in-IoT
A systematic review of applying grey wolf optimizer, its variants, and its developments in different Internet of Things applications
Zahra-Asghari/Zahra-Asghari
Config files for my GitHub profile.
aliasgharheidaricom/Wavelet-PM2.5-Prediction-System
Heidari, A.A.; Akhoondzadeh, M.; Chen, H. A Wavelet PM2.5 Prediction System Using Optimized Kernel Extreme Learning with Boruta-XGBoost Feature Selection. Mathematics 2022, 10, 3566. https://doi.org/10.3390/math10193566
F-Aghaeipoor/FRBES
Fuzzy Rule-Based Explainer Systems for DNN
Zahra-Asghari/feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Zahra-Asghari/grad-cam
[ICCV 2017] Torch code for Grad-CAM
Zahra-Asghari/IDS-Using-ML-Algorithms
Intrusion Detection System Using Machine Learning Algorithms
Zahra-Asghari/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Zahra-Asghari/machine-learning-books
a list of machine learning books, covering ML, RL, NLP
Zahra-Asghari/Systematic-Review-of-the-WOA
A Systematic Review of the Whale Optimization Algorithm: Theoretical Foundation, Improvements, and Hybridizations
Zahra-Asghari/TabNine
AI Code Completions
Zahra-Asghari/tensorflow-examples
Sample tensorflow code to try on Floyd
Zahra-Asghari/Zahra-Asghari.github.io
My academic personal website
aliasgharheidaricom/Exploratory-Data-Analysis
exploratory data analysis best arranged notebooks (beginner to advance)