Mohamed Hammad

According to our database, Mohamed Hammad authored at least 45 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Automated heart disease prediction using improved explainable learning-based technique.

Pierre Claver Bizimana, Zuping Zhang, Alphonse Houssou Hounye, Muhammad Asim, Mohamed Hammad, Ahmed A. Abd El-Latif

Neural Comput. Appl., September, 2024

Detection of myocardial infarction based on novel deep transfer learning methods for urban healthcare in smart cities.

Ahmed Alghamdi, Mohamed Hammad, Hassan Ugail, Asmaa Abdel-Raheem, Khan Muhammad, Hany S. Khalifa, Ahmed A. Abd El-Latif

Multim. Tools Appl., February, 2024

Fine-Tuned Understanding: Enhancing Social Bot Detection With Transformer-Based Classification.

Amine Sallah, El Arbi Abdellaoui Alaoui, Said Agoujil, Mudasir Ahmad Wani, Mohamed Hammad, Yassine Maleh, Ahmed A. Abd El-Latif

IEEE Access, 2024

Deep Cancelable Multibiometric Finger Vein and Fingerprint Authentication With Non-Negative Matrix Factorization.

Mohamed Hammad, Mudasir Ahmad Wani, Kashish Ara Shakil, Hadil Shaiba, Ahmed A. Abd El-Latif

IEEE Access, 2024

CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation.

Yaoyiran Li, Xiang Zhai, Moustafa Alzantot, Keyi Yu, Ivan Vulic, Anna Korhonen, Mohamed Hammad

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

AuCFSR: Authentication and Color Face Self-Recovery Using Novel 2D Hyperchaotic System and Deep Learning Models.

Achraf Daoui, Mohamed Yamni, Torki Altameem, Musheer Ahmad, Mohamed Hammad, Pawel Plawiak, Ryszard Tadeusiewicz, Ahmed A. Abd El-Latif

Sensors, November, 2023

Internet of Medical Things and Healthcare 4.0: Trends, Requirements, Challenges, and Research Directions.

Manar Osama, Abdelhamied A. Ateya, Mohammed Sharaf Sayed, Mohamed Hammad, Pawel Plawiak, Ahmed A. Abd El-Latif, Rania A. Elsayed

Sensors, September, 2023

Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images.

Kiran Kumar Patro, Allam Jaya Prakash, Bala Chakravarthy Neelapu, Ryszard Tadeusiewicz, U. Rajendra Acharya, Mohamed Hammad, Özal Yildirim, Pawel Plawiak

Inf. Sci., September, 2023

Enhancing Smart Home Security: Anomaly Detection and Face Recognition in Smart Home IoT Devices Using Logit-Boosted CNN Models.

Asif Rahim, Yanru Zhong, Tariq Ahmad, Sadique Ahmad, Pawel Plawiak, Mohamed Hammad

Sensors, August, 2023

Enhanced Deep Learning Approach for Accurate Eczema and Psoriasis Skin Detection.

Mohamed Hammad, Pawel Plawiak, Mohammed Ahmed El-Affendi, Ahmed A. Abd El-Latif, Asmaa A. Abdel Latif

Sensors, August, 2023

A Multi-Attention Approach for Person Re-Identification Using Deep Learning.

Shimaa Saber, Souham Meshoul, Khalid Mohamed Amin, Pawel Plawiak, Mohamed Hammad

Sensors, April, 2023

Automatic fake document identification and localization using DE-Net and color-based features of foreign inks.

Sondos M. Fadl, Khalid M. Hosny, Mohamed Hammad

J. Vis. Commun. Image Represent., April, 2023

A Deep Learning Technique for Biometric Authentication Using ECG Beat Template Matching.

Allam Jaya Prakash, Kiran Kumar Patro, Saunak Samantray, Pawel Plawiak, Mohamed Hammad

Inf., February, 2023

ECG-COVID: An end-to-end deep model based on electrocardiogram for COVID-19 detection.

Ahmed S. Sakr, Pawel Plawiak, Ryszard Tadeusiewicz, Joanna Plawiak, Mohamed Sakr, Mohamed Hammad

Inf. Sci., 2023

Criteria and Tips for Choosing Suitable Journal for Your Paper.

Mohamed Hammad

CoRR, 2023

2022

Efficient Lightweight Multimodel Deep Fusion Based on ECG for Arrhythmia Classification.

Mohamed Hammad, Souham Meshoul, Piotr Dziwiñski, Pawel Plawiak, Ibrahim A. Elgendy

Sensors, 2022

Automated Detection of Myocardial Infarction and Heart Conduction Disorders Based on Feature Selection and a Deep Learning Model.

Mohamed Hammad, Samia Allaoua Chelloug, Reem Alkanhel, Allam Jaya Prakash, Ammar Muthanna, Ibrahim A. Elgendy, Pawel Plawiak

Sensors, 2022

Efficient deep learning approach for augmented detection of Coronavirus disease.

Ahmed Sedik, Mohamed Hammad, Fathi E. Abd El-Samie, Brij B. Gupta, Ahmed A. Abd El-Latif

Neural Comput. Appl., 2022

Myocardial infarction detection based on deep neural network on imbalanced data.

Mohamed Hammad, Monagi H. Alkinani, Brij B. Gupta, Ahmed A. Abd El-Latif

Multim. Syst., 2022

Cancelable ECG biometric based on combination of deep transfer learning with DNA and amino acid approaches for human authentication.

Ahmed S. Sakr, Pawel Plawiak, Ryszard Tadeusiewicz, Mohamed Hammad

Inf. Sci., 2022

Graph convolutional network with triplet attention learning for person re-identification.

Shimaa Saber, Khalid Mohamed Amin, Pawel Plawiak, Ryszard Tadeusiewicz, Mohamed Hammad

Inf. Sci., 2022

MMM-RF: A novel high accuracy multinomial mixture model for network intrusion detection systems.

Mohamed Hammad, Nabil M. Hewahi, Wael Elmedany

Comput. Secur., 2022

Deep Learning Models for Arrhythmia Detection in IoT Healthcare Applications.

Mohamed Hammad, Ahmed A. Abd El-Latif, Amir Hussain, Fathi E. Abd El-Samie, Brij B. Gupta, Hassan Ugail, Ahmed Sedik

Comput. Electr. Eng., 2022

A novel model to optimize multiple imputation algorithm for missing data using evolution methods.

Yasser Salaheldin Mohammed, Hatem M. Abdelkader, Pawel Plawiak, Mohamed Hammad

Biomed. Signal Process. Control., 2022

2021

A Multitier Deep Learning Model for Arrhythmia Detection.

Mohamed Hammad, Abdullah M. Iliyasu, Abdulhamit Subasi, Edmond S. L. Ho, Ahmed A. Abd El-Latif

IEEE Trans. Instrum. Meas., 2021

Development of accurate classification of heavenly bodies using novel machine learning techniques.

Michal Wierzbinski, Pawel Plawiak, Mohamed Hammad, U. Rajendra Acharya

Soft Comput., 2021

Automated detection of shockable ECG signals: A review.

Mohamed Hammad, Kandala N. V. P. S. Rajesh, Amira Abdelatey, Moloud Abdar, Mariam Zomorodi Moghadam, Ru San Tan, U. Rajendra Acharya, Joanna Plawiak, Ryszard Tadeusiewicz, Vladimir Makarenkov, Nizal Sarrafzadegan, Abbas Khosravi, Saeid Nahavandi, Ahmed A. Abd El-Latif, Pawel Plawiak

Inf. Sci., 2021

Secure and Optimized Load Balancing for Multitier IoT and Edge-Cloud Computing Systems.

Weizhe Zhang, Ibrahim A. Elgendy, Mohamed Hammad, Abdullah M. Iliyasu, Xiaojiang Du, Mohsen Guizani, Ahmed A. Abd El-Latif

IEEE Internet Things J., 2021

T-SNERF: A novel high accuracy machine learning approach for Intrusion Detection Systems.

Mohamed Hammad, Nabil M. Hewahi, Wael Elmedany

IET Inf. Secur., 2021

Homeland security video surveillance system utilising the internet of video things for smart cities.

Yasser Ismail, Mohamed Hammad, Mahmoud Darwich, Wael Elmedany

IET Comput. Digit. Tech., 2021

ResNet-Attention model for human authentication using ECG signals.

Mohamed Hammad, Pawel Plawiak, Kuanquan Wang, Udyavara Rajendra Acharya

Expert Syst. J. Knowl. Eng., 2021

Deep Learning Modalities for Biometric Alteration Detection in 5G Networks-Based Secure Smart Cities.

Ahmed Sedik, Lo'ai Tawalbeh, Mohamed Hammad, Ahmed A. Abd El-Latif, Ghada M. El Banby, Ashraf A. M. Khalaf, Fathi E. Abd El-Samie, Abdullah M. Iliyasu

IEEE Access, 2021

2019

Cancelable biometric authentication system based on ECG.

Mohamed Hammad, Gongning Luo, Kuanquan Wang

Multim. Tools Appl., 2019

A novel two-dimensional ECG feature extraction and classification algorithm based on convolution neural network for human authentication.

Mohamed Hammad, Shanzhuo Zhang, Kuanquan Wang

Future Gener. Comput. Syst., 2019

A Novel Deep Transfer Learning Method for Detection of Myocardial Infarction.

Mohamed Hammad

CoRR, 2019

Parallel score fusion of ECG and fingerprint for human authentication based on convolution neural network.

Mohamed Hammad, Kuanquan Wang

Comput. Secur., 2019

Progress in Outlier Detection Techniques: A Survey.

Hongzhi Wang, Mohamed Jaward Bah, Mohamed Hammad

IEEE Access, 2019

Multimodal Biometric Authentication Systems Using Convolution Neural Network Based on Different Level Fusion of ECG and Fingerprint.

Mohamed Hammad, Yashu Liu, Kuanquan Wang

IEEE Access, 2019

An Effective Minimal Probing Approach With Micro-Cluster for Distance-Based Outlier Detection in Data Streams.

Mohamed Jaward Bah, Hongzhi Wang, Mohamed Hammad, Furkh Zeshan, Hanan Aljuaid

IEEE Access, 2019

2018

Very deep feature extraction and fusion for arrhythmias detection.

Moussa Amrani, Mohamed Hammad, Feng Jiang, Kuanquan Wang, Amel Amrani

Neural Comput. Appl., 2018

Detection of Abnormal Heart Conditions from the Analysis of ECG Signals.

Mohamed Hammad, Asmaa Maher, Adil Khan, Feng Jiang, Kuanquan Wang

Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

2017

Ear verification based on a novel local feature extraction.

Ibrahim Omara, Mahmoud Emam, Mohamed Hammad, Wangmeng Zuo

Proceedings of the 2017 International Conference on Biometrics Engineering and Application, 2017

Fingerprint classification based on a Q-Gaussian multiclass support vector machine.

Mohamed Hammad, Kuanquan Wang

Proceedings of the 2017 International Conference on Biometrics Engineering and Application, 2017

2016

A novel biometric based on ECG signals and images for human authentication.

Mohamed Hammad, Mina Ibrahim, Mohiy M. Hadhoud

Int. Arab J. Inf. Technol., 2016

2013

Automating Credibility Assessment of Arabic News.

Mohamed Hammad, Elsayed E. Hemayed

Proceedings of the Social Informatics - 5th International Conference, 2013