2023 - Research.com Computer Science in Egypt Leader Award
2022 - Research.com Computer Science in Egypt Leader Award
His primary areas of investigation include Artificial intelligence, Pattern recognition, Algorithm, Feature selection and Particle swarm optimization. The study incorporates disciplines such as Machine learning and Computer vision in addition to Artificial intelligence. As a part of the same scientific family, Aboul Ella Hassanien mostly works in the field of Pattern recognition, focusing on Thresholding and, on occasion, Image segmentation.
His Algorithm research includes themes of Mathematical optimization, Binary number, Fitness function and Benchmark. His Feature selection study incorporates themes from Data mining, Feature, Curse of dimensionality, Selection and Optimization problem. His research investigates the connection with Particle swarm optimization and areas like Genetic algorithm which intersect with concerns in Multi-swarm optimization, Energy, Real-time computing and Wireless sensor network.
The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Machine learning, Computer vision and Support vector machine. His research on Artificial intelligence frequently connects to adjacent areas such as Data mining. Aboul Ella Hassanien is involved in the study of Data mining that focuses on Rough set in particular.
His work focuses on many connections between Pattern recognition and other disciplines, such as Particle swarm optimization, that overlap with his field of interest in Genetic algorithm. He works in the field of Computer vision, focusing on Image in particular. Feature selection is closely attributed to Feature in his study.
His primary areas of study are Artificial intelligence, Pattern recognition, Pandemic, Deep learning and Convolutional neural network. His Artificial intelligence study frequently draws connections to adjacent fields such as Machine learning. His Pattern recognition research includes elements of Transfer of learning, Image and Cluster analysis.
License, Data science, China and Social media are fields of study that overlap with his Pandemic research. His Deep learning study frequently draws connections between adjacent fields such as Test set. Aboul Ella Hassanien has researched Convolutional neural network in several fields, including Overfitting and Hyperparameter.
His primary scientific interests are in Artificial intelligence, Pattern recognition, Deep learning, Pandemic and Machine learning. In general Artificial intelligence study, his work on Feature selection, Support vector machine, Feature and Segmentation often relates to the realm of Process, thereby connecting several areas of interest. His Pattern recognition research is multidisciplinary, incorporating perspectives in Quantitative structure–activity relationship, Genetic algorithm, Extreme learning machine, Image and Transfer of learning.
He has included themes like Visualization, Analytics, Convolutional neural network and Automatic summarization in his Deep learning study. His study in the fields of Rough set, Artificial neural network, Multilayer perceptron and Linear regression under the domain of Machine learning overlaps with other disciplines such as Time duration. His study explores the link between Artificial neural network and topics such as Search algorithm that cross with problems in Data mining.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Binary grey wolf optimization approaches for feature selection
E. Emary;Hossam M. Zawbaa;Aboul Ella Hassanien.
Neurocomputing (2016)
Wearable and Implantable Wireless Sensor Network Solutions for Healthcare Monitoring
Ashraf Darwish;Aboul Ella Hassanien.
Sensors (2011)
Linear discriminant analysis: A detailed tutorial
Alaa Tharwat;Alaa Tharwat;Tarek Gaber;Abdelhameed Ibrahim;Aboul Ella Hassanien.
Ai Communications (2017)
Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm
Diego Oliva;Diego Oliva;Mohamed Abd El Aziz;Mohamed Abd El Aziz;Aboul Ella Hassanien.
Applied Energy (2017)
Whale Optimization Algorithm and Moth-Flame Optimization for multilevel thresholding image segmentation
Mohamed Abd El Aziz;Ahmed A. Ewees;Aboul Ella Hassanien.
Expert Systems With Applications (2017)
Feature selection via a novel chaotic crow search algorithm
Gehad Ismail Sayed;Aboul Ella Hassanien;Ahmad Taher Azar;Ahmad Taher Azar.
Neural Computing and Applications (2019)
Binary ant lion approaches for feature selection
E. Emary;Hossam M. Zawbaa;Aboul Ella Hassanien.
Neurocomputing (2016)
The impact of the hybrid platform of internet of things and cloud computing on healthcare systems: opportunities, challenges, and open problems
Ashraf Darwish;Ashraf Darwish;Aboul Ella Hassanien;Mohamed Elhoseny;Mohamed Elhoseny;Arun Kumar Sangaiah.
Journal of Ambient Intelligence and Humanized Computing (2019)
Scheduling jobs on computational grids using a fuzzy particle swarm optimization algorithm
Hongbo Liu;Ajith Abraham;Aboul Ella Hassanien.
Future Generation Computer Systems (2010)
Forecasting Models for Coronavirus Disease (COVID-19): A Survey of the State-of-the-Art
Gitanjali Rahul Shinde;Asmita B. Kalamkar;Parikshit N. Mahalle;Parikshit N. Mahalle;Nilanjan Dey.
SN Computer Science (2020)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
University of Sharjah
Technical University of Ostrava
Prince Sultan University
FLAME University
Loughborough University
Techno International New Town
Beijing Jiaotong University
University of Guadalajara
Damietta University
Tanta University
Rutgers, The State University of New Jersey
University of Surrey
Dalhousie University
University at Buffalo, State University of New York
Wageningen University & Research
Centre national de la recherche scientifique, CNRS
Imperial College London
Johns Hopkins University
University of Copenhagen
University of Massachusetts Medical School
VA Midwest Health Care Network
Fisheries and Oceans Canada
University of Minho
University of Genoa
University of California, Irvine
University of Geneva