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Mahmoud Mohammed Badawy 0001
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- affiliation: Mansoura University, Faculty of Engineering, Computers and Control Systems Engineering Department, Egypt
- affiliation: Taibah University, Department of Computer Science and Informatics, Medina, Saudi Arabia
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2020 – today
- 2024
- [j41]Hanaa ZainEldin, Nadiah A. Baghdadi, Samah A. Gamel, Mansourah Aljohani, Fatma M. Talaat, Amer Malki, Mahmoud Badawy, Mostafa A. El-Hosseini:
Active convolutional neural networks sign language (ActiveCNN-SL) framework: a paradigm shift in deaf-mute communication. Artif. Intell. Rev. 57(6): 162 (2024) - [j40]Hanaa ZainEldin, Samah A. Gamel, Fatma M. Talaat, Mansourah Aljohani, Nadiah A. Baghdadi, Amer Malki, Mahmoud Badawy, Mostafa A. Elhosseini:
Silent no more: a comprehensive review of artificial intelligence, deep learning, and machine learning in facilitating deaf and mute communication. Artif. Intell. Rev. 57(7): 188 (2024) - [j39]Amr Ezz El-Din Rashed, Ahmed E. Mansour Atwa, Ali Ahmed, Mahmoud Badawy, Mostafa A. Elhosseini, Waleed M. Bahgat:
Facial image analysis for automated suicide risk detection with deep neural networks. Artif. Intell. Rev. 57(10): 274 (2024) - [j38]Mansourah Aljohani, Yousry M. AbdulAzeem, Hossam Magdy Balaha, Mahmoud Mohammed Badawy, Mostafa A. El-Hosseini:
Advancing feature ranking with hybrid feature ranking weighted majority model: a weighted majority voting strategy enhanced by the Harris hawks optimizer. J. Comput. Des. Eng. 11(3): 308-325 (2024) - [j37]Hadeer A. Helaly, Mahmoud Badawy, Amira Y. Haikal:
A review of deep learning approaches in clinical and healthcare systems based on medical image analysis. Multim. Tools Appl. 83(12): 36039-36080 (2024) - [j36]Fatma M. Talaat, Abdussalam Aljadani, Mahmoud Badawy, Mostafa A. Elhosseini:
Toward interpretable credit scoring: integrating explainable artificial intelligence with deep learning for credit card default prediction. Neural Comput. Appl. 36(9): 4847-4865 (2024) - [j35]Fatma M. Talaat, Mohammed Farsi, Mahmoud Badawy, Mostafa A. El-Hosseini:
SightAid: empowering the visually impaired in the Kingdom of Saudi Arabia (KSA) with deep learning-based intelligent wearable vision system. Neural Comput. Appl. 36(19): 11075-11095 (2024) - [j34]Hadeer A. Helaly, Mahmoud Badawy, Eman M. El-Gendy, Amira Y. Haikal:
ELCD-NSC2: a novel early lung cancer detection and non-small cell classification framework. Neural Comput. Appl. 36(24): 15149-15164 (2024) - 2023
- [j33]Mohammed Qaraad, Souad Amjad, Nazar K. Hussein, Mahmoud Badawy, Seyedali Mirjalili, Mostafa A. Elhosseini:
Photovoltaic parameter estimation using improved moth flame algorithms with local escape operators. Comput. Electr. Eng. 106: 108603 (2023) - 2022
- [j32]Nadiah A. Baghdadi, Amer Malki, Sally F. Abdelaliem, Hossam Magdy Balaha, Mahmoud Badawy, Mostafa A. El-Hosseini:
An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network. Comput. Biol. Medicine 144: 105383 (2022) - [j31]Aya M. Kishk, Mahmoud Mohammed Badawy, Hesham A. Ali, Ahmed I. Saleh:
A new traffic congestion prediction strategy (TCPS) based on edge computing. Clust. Comput. 25(1): 49-75 (2022) - [j30]Hadeer A. Helaly, Mahmoud Badawy, Amira Y. Haikal:
Deep Learning Approach for Early Detection of Alzheimer's Disease. Cogn. Comput. 14(5): 1711-1727 (2022) - [j29]Nehal A. Mansour, Ahmed I. Saleh, Mahmoud Mohammed Badawy, Hesham A. Ali:
Accurate detection of Covid-19 patients based on Feature Correlated Naïve Bayes (FCNB) classification strategy. J. Ambient Intell. Humaniz. Comput. 13(1): 41-73 (2022) - [j28]Mohamed Reda, Ahmed Onsy, Mostafa A. Elhosseini, Amira Y. Haikal, Mahmoud Badawy:
A discrete variant of cuckoo search algorithm to solve the Travelling Salesman Problem and path planning for autonomous trolley inside warehouse. Knowl. Based Syst. 252: 109290 (2022) - [j27]Hadeer A. Helaly, Mahmoud Badawy, Amira Y. Haikal:
Toward deep MRI segmentation for Alzheimer's disease detection. Neural Comput. Appl. 34(2): 1047-1063 (2022) - [j26]Nadiah A. Baghdadi, Amer Malki, Hossam Magdy Balaha, Yousry M. AbdulAzeem, Mahmoud Badawy, Mostafa A. El-Hosseini:
Classification of breast cancer using a manta-ray foraging optimized transfer learning framework. PeerJ Comput. Sci. 8: e1054 (2022) - [j25]Nadiah A. Baghdadi, Amer Malki, Hossam Magdy Balaha, Yousry M. AbdulAzeem, Mahmoud Badawy, Mostafa A. El-Hosseini:
An optimized deep learning approach for suicide detection through Arabic tweets. PeerJ Comput. Sci. 8: e1070 (2022) - [j24]Nadiah A. Baghdadi, Amer Malki, Hossam Magdy Balaha, Mahmoud Mohammed Badawy, Mostafa A. El-Hosseini:
A3C-TL-GTO: Alzheimer Automatic Accurate Classification Using Transfer Learning and Artificial Gorilla Troops Optimizer. Sensors 22(11): 4250 (2022) - [j23]Noha Shehab, Mahmoud Mohammed Badawy, Hesham Arafat Ali:
Toward feature selection in big data preprocessing based on hybrid cloud-based model. J. Supercomput. 78(3): 3226-3265 (2022) - 2021
- [j22]Yousry M. AbdulAzeem, Hossam Magdy Balaha, Waleed M. Bahgat, Mahmoud Mohammed Badawy:
Human Action Recognition Based on Transfer Learning Approach. IEEE Access 9: 82058-82069 (2021) - [j21]Mostafa A. El-Hosseini, Hanaa ZainEldin, Hesham Arafat, Mahmoud Badawy:
A fire detection model based on power-aware scheduling for IoT-sensors in smart cities with partial coverage. J. Ambient Intell. Humaniz. Comput. 12(2): 2629-2648 (2021) - [j20]Hossam Magdy Balaha, Hesham Arafat Ali, Mahmoud Mohammed Badawy:
Automatic recognition of handwritten Arabic characters: a comprehensive review. Neural Comput. Appl. 33(7): 3011-3034 (2021) - [j19]Hossam Magdy Balaha, Hesham Arafat Ali, Mohamed S. Saraya, Mahmoud Mohammed Badawy:
A new Arabic handwritten character recognition deep learning system (AHCR-DLS). Neural Comput. Appl. 33(11): 6325-6367 (2021) - [j18]Yousry M. AbdulAzeem, Waleed M. Bahgat, Mahmoud Mohammed Badawy:
A CNN based framework for classification of Alzheimer's disease. Neural Comput. Appl. 33(16): 10415-10428 (2021) - [j17]Mohamed Reda, Mostafa A. Elhosseini, Amira Y. Haikal, Mahmoud Badawy:
A novel cuckoo search algorithm with adaptive discovery probability based on double Mersenne numbers. Neural Comput. Appl. 33(23): 16377-16402 (2021) - [j16]Waleed M. Bahgat, Hossam Magdy Balaha, Yousry M. AbdulAzeem, Mahmoud Mohammed Badawy:
An optimized transfer learning-based approach for automatic diagnosis of COVID-19 from chest x-ray images. PeerJ Comput. Sci. 7: e555 (2021) - [j15]Majed Alwateer, Abdulqader M. Almars, Kareem N. Areed, Mostafa A. Elhosseini, Amira Y. Haikal, Mahmoud Badawy:
Ambient Healthcare Approach with Hybrid Whale Optimization Algorithm and Naïve Bayes Classifier. Sensors 21(13): 4579 (2021) - 2020
- [j14]Abdelhameed Ibrahim, Mostafa Noshy, Hesham Arafat Ali, Mahmoud Mohammed Badawy:
PAPSO: A Power-Aware VM Placement Technique Based on Particle Swarm Optimization. IEEE Access 8: 81747-81764 (2020) - [j13]Ahmed Saad Elsayad, Ali I. El-Desouky, Mofreh Mohamed Salem, Mahmoud Mohammed Badawy:
A Deep Learning H2O Framework for Emergency Prediction in Biomedical Big Data. IEEE Access 8: 97231-97242 (2020) - [j12]Mahmoud Mohammed Badawy, Zainab Hassan Ali, Hesham A. Ali:
QoS provisioning framework for service-oriented internet of things (IoT). Clust. Comput. 23(2): 575-591 (2020) - [j11]Hanaa ZainEldin, Mahmoud Badawy, Mostafa A. El-Hosseini, Hesham Arafat, Ajith Abraham:
An improved dynamic deployment technique based-on genetic algorithm (IDDT-GA) for maximizing coverage in wireless sensor networks. J. Ambient Intell. Humaniz. Comput. 11(10): 4177-4194 (2020) - [j10]Mohammed Farsi, Zohair Malki, Mostafa A. Elhosseini, Mahmoud Badawy:
MATLAB-based framework for data analytics applied to Hajj dataset: Hajj health meter. J. Intell. Fuzzy Syst. 38(3): 2481-2490 (2020) - [j9]Zainab Hassan Ali, Mahmoud Mohammed Badawy, Hesham A. Ali:
A novel geographically distributed architecture based on fog technology for improving Vehicular Ad hoc Network (VANET) performance. Peer-to-Peer Netw. Appl. 13(5): 1539-1566 (2020)
2010 – 2019
- 2019
- [j8]Mohammed Farsi, Mostafa A. El-Hosseini, Mahmoud Badawy, Hesham Arafat Ali, Hanaa ZainEldin:
Deployment Techniques in Wireless Sensor Networks, Coverage and Connectivity: A Survey. IEEE Access 7: 28940-28954 (2019) - [j7]Mohammed Farsi, Mahmoud Mohammed Badawy, Mona Moustafa, Hesham Arafat Ali, Yousry M. AbdulAzeem:
A Congestion-Aware Clustering and Routing (CCR) Protocol for Mitigating Congestion in WSN. IEEE Access 7: 105402-105419 (2019) - [j6]Mohammed Farsi, Mahmoud Mohammed Badawy, Naglaa Abdelmoneim, Hesham Arafat Ali, Yousry M. AbdulAzeem:
QoS-Aware Framework for Performance Enhancement of SOA in Enterprise IT Environments. IEEE Access 7: 107699-107715 (2019) - [j5]Mohamed Reda, Amira Y. Haikal, Mostafa A. El-Hosseini, Mahmoud Badawy:
An Innovative Damped Cuckoo Search Algorithm With a Comparative Study Against Other Adaptive Variants. IEEE Access 7: 119272-119293 (2019) - [j4]Mahmoud Mohammed Badawy, Hisham Khalifa, Hesham Arafat:
New approach to enhancing the performance of cloud-based vision system of mobile robots. Comput. Electr. Eng. 74: 1-21 (2019) - [j3]Mostafa A. El-Hosseini, Amira Y. Haikal, Mahmoud Badawy, Nour Khashan:
Biped robot stability based on an A-C parametric Whale Optimization Algorithm. J. Comput. Sci. 31: 17-32 (2019) - [c2]Noha Shehab, Mahmoud Mohammed Badawy, Hesham Arafat:
Big Data Analytics Concepts, Technologies Challenges, and Opportunities. AISI 2019: 92-101 - [c1]Pasant Mohammed, Yomna Eid, Mahmoud Mohammed Badawy, Ahmed Hassan Yousef:
Evaluation of Different Sarcasm Detection Models for Arabic News Headlines. AISI 2019: 418-426 - 2018
- [j2]Reham Arnous, Ali I. El-Desouky, Amany M. Sarhan, Mahmoud Mohammed Badawy:
ILFCS: an intelligent learning fuzzy-based channel selection framework for cognitive radio networks. EURASIP J. Wirel. Commun. Netw. 2018: 247 (2018) - 2017
- [j1]Zainab Hassan Ali, Hesham Arafat Ali, Mahmoud Mohammed Badawy:
A New Proposed the Internet of Things (IoT) Virtualization Framework Based on Sensor-as-a-Service Concept. Wirel. Pers. Commun. 97(1): 1419-1443 (2017)
Coauthor Index
aka: Mostafa A. Elhosseini
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last updated on 2024-12-10 21:47 CET by the dblp team
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