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Mohamed Hammad
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
2020 – today
- 2025
- [j41]Mohamed Hammad, Mohammed Ahmed El-Affendi, Ahmed A. Abd El-Latif:
CardioECGNet: A novel deep learning architecture for accurate and automated ECG signal classification across diverse cardiac conditions. Biomed. Signal Process. Control. 106: 107720 (2025) - [j40]John Philipose Villoth
, Miodrag Zivkovic
Two-tier deep and machine learning approach optimized by adaptive multi-population firefly algorithm for software defects prediction. Neurocomputing 630: 129695 (2025) - [j39]Hameedur Rahman, Najib Ben Aoun, Tanvir Fatima Naik Bukht
Automatic liver tumor segmentation of CT and MRI volumes using ensemble ResUNet-InceptionV4 model. Inf. Sci. 704: 121966 (2025) - 2024
- [j38]Amine Sallah
Fine-Tuned Understanding: Enhancing Social Bot Detection With Transformer-Based Classification. IEEE Access 12: 118250-118269 (2024) - [j37]Mohamed Hammad
Deep Cancelable Multibiometric Finger Vein and Fingerprint Authentication With Non-Negative Matrix Factorization. IEEE Access 12: 120638-120660 (2024) - [j36]Ahmed Alghamdi, Mohamed Hammad
Detection of myocardial infarction based on novel deep transfer learning methods for urban healthcare in smart cities. Multim. Tools Appl. 83(5): 14913-14934 (2024) - [j35]Pierre Claver Bizimana, Zuping Zhang, Alphonse Houssou Hounye, Muhammad Asim
Automated heart disease prediction using improved explainable learning-based technique. Neural Comput. Appl. 36(26): 16289-16318 (2024) - [c5]Yaoyiran Li
CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation. RecSys 2024: 422-432 - [i3]Yaoyiran Li
CALRec: Contrastive Alignment of Generative LLMs For Sequential Recommendation. CoRR abs/2405.02429 (2024) - 2023
- [j34]Allam Jaya Prakash
A Deep Learning Technique for Biometric Authentication Using ECG Beat Template Matching. Inf. 14(2): 65 (2023) - [j33]Ahmed S. Sakr, Pawel Plawiak, Ryszard Tadeusiewicz
ECG-COVID: An end-to-end deep model based on electrocardiogram for COVID-19 detection. Inf. Sci. 619: 324-339 (2023) - [j32]Kiran Kumar Patro, Allam Jaya Prakash
Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images. Inf. Sci. 640: 119005 (2023) - [j31]Sondos M. Fadl, Khalid M. Hosny
Automatic fake document identification and localization using DE-Net and color-based features of foreign inks. J. Vis. Commun. Image Represent. 92: 103801 (2023) - [j30]Shimaa Saber
A Multi-Attention Approach for Person Re-Identification Using Deep Learning. Sensors 23(7): 3678 (2023) - [j29]Asif Rahim, Yanru Zhong, Tariq Ahmad
Enhancing Smart Home Security: Anomaly Detection and Face Recognition in Smart Home IoT Devices Using Logit-Boosted CNN Models. Sensors 23(15): 6979 (2023) - [j28]Mohamed Hammad
Enhanced Deep Learning Approach for Accurate Eczema and Psoriasis Skin Detection. Sensors 23(16): 7295 (2023) - [j27]Manar Osama, Abdelhamied A. Ateya
Internet of Medical Things and Healthcare 4.0: Trends, Requirements, Challenges, and Research Directions. Sensors 23(17): 7435 (2023) - [j26]Achraf Daoui
AuCFSR: Authentication and Color Face Self-Recovery Using Novel 2D Hyperchaotic System and Deep Learning Models. Sensors 23(21): 8957 (2023) - [i2]Mohamed Hammad:
Criteria and Tips for Choosing Suitable Journal for Your Paper. CoRR abs/2312.04573 (2023) - 2022
- [j25]Yasser Salaheldin Mohammed
A novel model to optimize multiple imputation algorithm for missing data using evolution methods. Biomed. Signal Process. Control. 76: 103661 (2022) - [j24]Mohamed Hammad
Deep Learning Models for Arrhythmia Detection in IoT Healthcare Applications. Comput. Electr. Eng. 100: 108011 (2022) - [j23]Mohamed Hammad
MMM-RF: A novel high accuracy multinomial mixture model for network intrusion detection systems. Comput. Secur. 120: 102777 (2022) - [j22]Ahmed S. Sakr, Pawel Plawiak
Cancelable ECG biometric based on combination of deep transfer learning with DNA and amino acid approaches for human authentication. Inf. Sci. 585: 127-143 (2022) - [j21]Shimaa Saber
Graph convolutional network with triplet attention learning for person re-identification. Inf. Sci. 617: 331-345 (2022) - [j20]Mohamed Hammad
Myocardial infarction detection based on deep neural network on imbalanced data. Multim. Syst. 28(4): 1373-1385 (2022) - [j19]Ahmed Sedik
Efficient deep learning approach for augmented detection of Coronavirus disease. Neural Comput. Appl. 34(14): 11423-11440 (2022) - [j18]Mohamed Hammad
Automated Detection of Myocardial Infarction and Heart Conduction Disorders Based on Feature Selection and a Deep Learning Model. Sensors 22(17): 6503 (2022) - [j17]Mohamed Hammad
Efficient Lightweight Multimodel Deep Fusion Based on ECG for Arrhythmia Classification. Sensors 22(23): 9347 (2022) - 2021
- [j16]Ahmed Sedik
Deep Learning Modalities for Biometric Alteration Detection in 5G Networks-Based Secure Smart Cities. IEEE Access 9: 94780-94788 (2021) - [j15]Mohamed Hammad
ResNet-Attention model for human authentication using ECG signals. Expert Syst. J. Knowl. Eng. 38(6) (2021) - [j14]Yasser Ismail, Mohamed Hammad
Homeland security video surveillance system utilising the internet of video things for smart cities. IET Comput. Digit. Tech. 15(4): 302-319 (2021) - [j13]Mohamed Hammad
T-SNERF: A novel high accuracy machine learning approach for Intrusion Detection Systems. IET Inf. Secur. 15(2): 178-190 (2021) - [j12]Weizhe Zhang
Secure and Optimized Load Balancing for Multitier IoT and Edge-Cloud Computing Systems. IEEE Internet Things J. 8(10): 8119-8132 (2021) - [j11]Mohamed Hammad
Automated detection of shockable ECG signals: A review. Inf. Sci. 571: 580-604 (2021) - [j10]Michal Wierzbinski
Development of accurate classification of heavenly bodies using novel machine learning techniques. Soft Comput. 25(10): 7213-7228 (2021) - [j9]Mohamed Hammad
A Multitier Deep Learning Model for Arrhythmia Detection. IEEE Trans. Instrum. Meas. 70: 1-9 (2021)
2010 – 2019
- 2019
- [j8]Mohamed Hammad
Multimodal Biometric Authentication Systems Using Convolution Neural Network Based on Different Level Fusion of ECG and Fingerprint. IEEE Access 7: 26527-26542 (2019) - [j7]Hongzhi Wang
Progress in Outlier Detection Techniques: A Survey. IEEE Access 7: 107964-108000 (2019) - [j6]Mohamed Jaward Bah
An Effective Minimal Probing Approach With Micro-Cluster for Distance-Based Outlier Detection in Data Streams. IEEE Access 7: 154922-154934 (2019) - [j5]Mohamed Hammad
Parallel score fusion of ECG and fingerprint for human authentication based on convolution neural network. Comput. Secur. 81: 107-122 (2019) - [j4]Mohamed Hammad
A novel two-dimensional ECG feature extraction and classification algorithm based on convolution neural network for human authentication. Future Gener. Comput. Syst. 101: 180-196 (2019) - [j3]Mohamed Hammad
Cancelable biometric authentication system based on ECG. Multim. Tools Appl. 78(2): 1857-1887 (2019) - [i1]Mohamed Hammad:
A Novel Deep Transfer Learning Method for Detection of Myocardial Infarction. CoRR abs/1906.09358 (2019) - 2018
- [j2]Moussa Amrani
Very deep feature extraction and fusion for arrhythmias detection. Neural Comput. Appl. 30(7): 2047-2057 (2018) - [c4]Mohamed Hammad, Asmaa Maher, Adil Khan, Feng Jiang, Kuanquan Wang:
Detection of Abnormal Heart Conditions from the Analysis of ECG Signals. BIOSIGNALS 2018: 240-247 - 2017
- [c3]Ibrahim Omara
Ear verification based on a novel local feature extraction. ICBEA 2017: 28-32 - [c2]Mohamed Hammad
Fingerprint classification based on a Q-Gaussian multiclass support vector machine. ICBEA 2017: 39-44 - 2016
- [j1]Mohamed Hammad, Mina Ibrahim, Mohiy M. Hadhoud:
A novel biometric based on ECG signals and images for human authentication. Int. Arab J. Inf. Technol. 13(6A): 959-964 (2016) - 2013
- [c1]Mohamed Hammad
Automating Credibility Assessment of Arabic News. SocInfo 2013: 139-152
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last updated on 2025-03-18 20:46 CET by the dblp team
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