An efficient chaotic gradient-based optimizer for feature selection
DS Abd Elminaam, SA Ibrahim, EH Houssein… - IEEE …, 2022 - ieeexplore.ieee.org
In many applications, selecting the optimal features is a difficult task. Numerous In
optimization problems, eg, feature selection (FS) problem, have been solved using …
optimization problems, eg, feature selection (FS) problem, have been solved using …
EmpTurnoverML: An Efficient Model for Employee Turnover and Customer Churn Prediction Using Machine Learning Algorithms
DS AbdElminaam, M Maged, MK Mousa… - 2023 International …, 2023 - ieeexplore.ieee.org
Employee turnover and customer churn a significant challenges for organizations
worldwide. The loss of employees can significantly impact the company's growth and …
worldwide. The loss of employees can significantly impact the company's growth and …
Mlhandwrittenrecognition: Handwritten digit recognition using machine learning algorithms
F Essam, H Samy, J Wagdy - Journal of Computing and …, 2023 - journals.ekb.eg
Handwritten digit recognition has remained a topic of interest to computer vision scientists.
Its origination precedes the emergence of the machine as it is a crucial component of the …
Its origination precedes the emergence of the machine as it is a crucial component of the …
Improved local descriptor (ILD): a novel fusion method in face recognition
S Karanwal - International Journal of Information Technology, 2023 - Springer
Literature suggests that by fusing multiple features there is immense improvement in the
recognition rates as compared to the recognition rates of single descriptor. This motivate …
recognition rates as compared to the recognition rates of single descriptor. This motivate …
DeepFakeDG: A Deep Learning Approach for Deep Fake Detection and Generation
DS AbdElminaam, N Sherif, Z Ayman… - … of Computing and …, 2023 - jocc.journals.ekb.eg
The main idea of this project is to develop a web application that can help to detect whether
the input data we provide of people, whether celebrities or people in general, are real or …
the input data we provide of people, whether celebrities or people in general, are real or …
CPSMP_ML: Closing price Prediction of Stock Market using Machine Learning Models
DS Abd Elminaam, A El Tanany… - 2022 2nd …, 2022 - ieeexplore.ieee.org
Predicting stock market returns is difficult due to financial stock market volatility and non-
linear structure. Programmable prediction methods are more efficient in predicting stock …
linear structure. Programmable prediction methods are more efficient in predicting stock …
FER_ML: Facial Emotion Recognition using Machine Learning
B Tamer Ghareeb, FA Tarek, HA Said - Journal of Computing and …, 2023 - journals.ekb.eg
Recently, facial recognition has been one of the most crucial technologies people need.
Facial recognition has attracted a lot of the crowd; for example, it has been used in security …
Facial recognition has attracted a lot of the crowd; for example, it has been used in security …
Fit Moi: Online Virtual Fitting Room With Texture Identification And Recommendation System
DS AbdElminaam, Y Mohamed… - … of Computing and …, 2023 - jocc.journals.ekb.eg
Virtual fitting rooms have attracted the sights of the market need in the past two years; The
world faced a colossal pandemic that led everything to be online. This proposed framework …
world faced a colossal pandemic that led everything to be online. This proposed framework …
VR Computer Role-Playing Game Using Reinforcement Learning
BT Ghareeb, MA Doqmak, F Sherif… - Journal of Computing …, 2023 - journals.ekb.eg
This paper shall discuss the process of making one of the first Computer Role-Playing
Virtual Reality Games that take advantage of the underutilized hand-tracking technology …
Virtual Reality Games that take advantage of the underutilized hand-tracking technology …