Mazin Abed Mohammed
Orcid: 0000-0001-9030-8102
According to our database1,
Mazin Abed Mohammed
authored at least 110 papers
between 2017 and 2024.
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Bibliography
2024
Mobile-fog-cloud assisted deep reinforcement learning and blockchain-enable IoMT system for healthcare workflows.
Trans. Emerg. Telecommun. Technol., April, 2024
A robust framework for the selection of optimal COVID-19 mask based on aggregations of interval-valued multi-fuzzy hypersoft sets.
Expert Syst. Appl., March, 2024
Fundus-DeepNet: Multi-label deep learning classification system for enhanced detection of multiple ocular diseases through data fusion of fundus images.
Inf. Fusion, February, 2024
Digital healthcare framework for patients with disabilities based on deep federated learning schemes.
Comput. Biol. Medicine, February, 2024
2023
Secure blockchain assisted Internet of Medical Things architecture for data fusion enabled cancer workflow.
Internet Things, December, 2023
Blockchain-based applications and energy effective electric vehicle charging - A systematic literature review, challenges, comparative analysis and opportunities.
Comput. Electr. Eng., December, 2023
Autism Spectrum Disorder detection framework for children based on federated learning integrated CNN-LSTM.
Comput. Biol. Medicine, November, 2023
Automated waste-sorting and recycling classification using artificial neural network and features fusion: a digital-enabled circular economy vision for smart cities.
Multim. Tools Appl., October, 2023
Secure-fault-tolerant efficient industrial internet of healthcare things framework based on digital twin federated fog-cloud networks.
J. King Saud Univ. Comput. Inf. Sci., October, 2023
Homomorphic federated learning schemes enabled pedestrian and vehicle detection system.
Internet Things, October, 2023
An innovative mathematical approach to the evaluation of susceptibility in liver disorder based on fuzzy parameterized complex fuzzy hypersoft set.
Biomed. Signal Process. Control., September, 2023
ITS Based on Deep Graph Convolutional Fraud Detection Network Blockchain-Enabled Fog-Cloud.
IEEE Trans. Intell. Transp. Syst., August, 2023
A new fog computing resource management (FRM) model based on hybrid load balancing and scheduling for critical healthcare applications.
Phys. Commun., August, 2023
Energy-efficient distributed federated learning offloading and scheduling healthcare system in blockchain based networks.
Internet Things, July, 2023
Fppsv-NHSS: Fuzzy parameterized possibility single valued neutrosophic hypersoft set to site selection for solid waste management.
Appl. Soft Comput., June, 2023
Multi-objective flower pollination algorithm: a new technique for EEG signal denoising.
Neural Comput. Appl., April, 2023
COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays images.
Soft Comput., March, 2023
A hybrid cancer prediction based on multi-omics data and reinforcement learning state action reward state action (SARSA).
Comput. Biol. Medicine, March, 2023
Restricted Boltzmann Machine Assisted Secure Serverless Edge System for Internet of Medical Things.
IEEE J. Biomed. Health Informatics, February, 2023
Federated-Learning Based Privacy Preservation and Fraud-Enabled Blockchain IoMT System for Healthcare.
IEEE J. Biomed. Health Informatics, February, 2023
Sensors, January, 2023
Bio-inspired robotics enabled schemes in blockchain-fog-cloud assisted IoMT environment.
J. King Saud Univ. Comput. Inf. Sci., January, 2023
Blockchain-Enabled Cybersecurity Efficient IIOHT Cyber-Physical System for Medical Applications.
IEEE Trans. Netw. Sci. Eng., 2023
An agent architecture for autonomous UAV flight control in object classification and recognition missions.
Soft Comput., 2023
A robust algorithmic cum integrated approach of interval-valued fuzzy hypersoft set and OOPCS for real estate pursuit.
PeerJ Comput. Sci., 2023
Dimensions of artificial intelligence techniques, blockchain, and cyber security in the Internet of medical things: Opportunities, challenges, and future directions.
J. Intell. Syst., 2023
Comput. Syst. Sci. Eng., 2023
Comput. Syst. Sci. Eng., 2023
Feature Selection for Detecting ICMPv6-Based DDoS Attacks Using Binary Flower Pollination Algorithm.
Comput. Syst. Sci. Eng., 2023
An algebraic modeling for tuberculosis disease prognosis and proposed potential treatment methods using fuzzy hypersoft mappings.
Biomed. Signal Process. Control., 2023
2022
Privacy-aware genetic algorithm based data security framework for distributed cloud storage.
Microprocess. Microsystems, October, 2022
An extensive review of state-of-the-art transfer learning techniques used in medical imaging: Open issues and challenges.
J. Intell. Syst., June, 2022
A review on voice pathology: Taxonomy, diagnosis, medical procedures and detection techniques, open challenges, limitations, and recommendations for future directions.
J. Intell. Syst., June, 2022
Fully Homomorphic Enabled Secure Task Offloading and Scheduling System for Transport Applications.
IEEE Trans. Veh. Technol., 2022
ACM Trans. Sens. Networks, 2022
IEEE Trans. Instrum. Meas., 2022
Blockchain multi-objective optimization approach-enabled secure and cost-efficient scheduling for the Internet of Medical Things (IoMT) in fog-cloud system.
Soft Comput., 2022
Delay Optimal Schemes for Internet of Things Applications in Heterogeneous Edge Cloud Computing Networks.
Sensors, 2022
The Use of Computational Geometry Techniques to Resolve the Issues of Coverage and Connectivity in Wireless Sensor Networks.
Sensors, 2022
EEG Channel Selection Based User Identification via Improved Flower Pollination Algorithm.
Sensors, 2022
A Novel Low-Latency and Energy-Efficient Task Scheduling Framework for Internet of Medical Things in an Edge Fog Cloud System.
Sensors, 2022
A Hybrid Classification of Imbalanced Hyperspectral Images Using ADASYN and Enhanced Deep Subsampled Multi-Grained Cascaded Forest.
Remote. Sens., 2022
Identifying defective solar cells in electroluminescence images using deep feature representations.
PeerJ Comput. Sci., 2022
A framework for analyzing the relationships between cancer patient satisfaction, nurse care, patient attitude, and nurse attitude in healthcare systems.
J. Ambient Intell. Humaniz. Comput., 2022
Deadline aware and energy-efficient scheduling algorithm for fine-grained tasks in mobile edge computing.
Int. J. Web Grid Serv., 2022
Int. J. Swarm Intell. Res., 2022
Int. J. Interact. Multim. Artif. Intell., 2022
An enhanced mechanism for detection of Domain Name System-based distributed reflection denial of service attacks depending on modified metaheuristic algorithms and adaptive thresholding techniques.
IET Networks, 2022
Comprehensive Review of Machine Learning (ML) in Image Defogging: Taxonomy of Concepts, Scenes, Feature Extraction, and Classification techniques.
IET Image Process., 2022
IET Commun., 2022
Effective hybrid deep learning model for COVID-19 patterns identification using CT images.
Expert Syst. J. Knowl. Eng., 2022
Fully-automatic identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients (HOG).
Expert Syst. J. Knowl. Eng., 2022
Review on COVID-19 diagnosis models based on machine learning and deep learning approaches.
Expert Syst. J. Knowl. Eng., 2022
Deep neural network-based application partitioning and scheduling for hospitals and medical enterprises using IoT assisted mobile fog cloud.
Enterp. Inf. Syst., 2022
Cost-efficient mobility offloading and task scheduling for microservices IoVT applications in container-based fog cloud network.
Clust. Comput., 2022
EEG Channel Selection Using Multiobjective Cuckoo Search for Person Identification as Protection System in Healthcare Applications.
Comput. Intell. Neurosci., 2022
Comput. Electr. Eng., 2022
Efficient deep-reinforcement learning aware resource allocation in SDN-enabled fog paradigm.
Autom. Softw. Eng., 2022
W-GeoR: Weighted Geographical Routing for VANET's Health Monitoring Applications in Urban Traffic Networks.
IEEE Access, 2022
An Optimized Neuro-Bee Algorithm Approach to Predict the FRP-Concrete Bond Strength of RC Beams.
IEEE Access, 2022
Impact of Block Data Components on the Performance of Blockchain-Based VANET Implemented on Hyperledger Fabric.
IEEE Access, 2022
Improving Genetic Algorithm to Attain Better Routing Solutions for Real-World Water Line System.
Proceedings of the Recent Advances in Soft Computing and Data Mining, 2022
2021
A Multi-agent Feature Selection and Hybrid Classification Model for Parkinson's Disease Diagnosis.
ACM Trans. Multim. Comput. Commun. Appl., 2021
Multi-Agent Systems in Fog-Cloud Computing for Critical Healthcare Task Management Model (CHTM) Used for ECG Monitoring.
Sensors, 2021
Adversarial Attack and Defence through Adversarial Training and Feature Fusion for Diabetic Retinopathy Recognition.
Sensors, 2021
Secur. Commun. Networks, 2021
Federated learning enables intelligent reflecting surface in fog-cloud enabled cellular network.
PeerJ Comput. Sci., 2021
Comprehensive review of retinal blood vessel segmentation and classification techniques: intelligent solutions for green computing in medical images, current challenges, open issues, and knowledge gaps in fundus medical images.
Netw. Model. Anal. Health Informatics Bioinform., 2021
Machine learning-data mining integrated approach for premature ventricular contraction prediction.
Neural Comput. Appl., 2021
Microprocess. Microsystems, 2021
Adaptive intelligent learning approach based on visual anti-spam email model for multi-natural language.
J. Intell. Syst., 2021
Realizing an Effective COVID-19 Diagnosis System Based on Machine Learning and IoT in Smart Hospital Environment.
IEEE Internet Things J., 2021
Mapping and Deep Analysis of Image Dehazing: Coherent Taxonomy, Datasets, Open Challenges, Motivations, and Recommendations.
Int. J. Interact. Multim. Artif. Intell., 2021
Integrating Elman recurrent neural network with particle swarm optimization algorithms for an improved hybrid training of multidisciplinary datasets.
Expert Syst. Appl., 2021
Incorporating Artificial Fish Swarm in Ensemble Classification Framework for Recurrence Prediction of Cervical Cancer.
IEEE Access, 2021
3D Location Oriented Routing in Flying Ad-Hoc Networks for Information Dissemination.
IEEE Access, 2021
IEEE Access, 2021
Voice Pathology Detection and Classification by Adopting Online Sequential Extreme Learning Machine.
IEEE Access, 2021
Systematic Review of Computing Approaches for Breast Cancer Detection Based Computer Aided Diagnosis Using Mammogram Images.
Appl. Artif. Intell., 2021
2020
Sensors, 2020
Detection of Focal and Non-Focal Electroencephalogram Signals Using Fast Walsh-Hadamard Transform and Artificial Neural Network.
Sensors, 2020
Decision-level fusion scheme for nasopharyngeal carcinoma identification using machine learning techniques.
Neural Comput. Appl., 2020
Fully automatic model-based segmentation and classification approach for MRI brain tumor using artificial neural networks.
Concurr. Comput. Pract. Exp., 2020
Benchmarking Methodology for Selection of Optimal COVID-19 Diagnostic Model Based on Entropy and TOPSIS Methods.
IEEE Access, 2020
A Survey of Voice Pathology Surveillance Systems Based on Internet of Things and Machine Learning Algorithms.
IEEE Access, 2020
Proceedings of the 5th IEEE International Symposium on Telecommunication Technologies, 2020
2019
K-Means clustering and neural network for object detecting and identifying abnormality of brain tumor.
Soft Comput., 2019
Future Gener. Comput. Syst., 2019
Examining multiple feature evaluation and classification methods for improving the diagnosis of Parkinson's disease.
Cogn. Syst. Res., 2019
Comprehensive Review of Artificial Intelligence and Statistical Approaches in Distributed Denial of Service Attack and Defense Methods.
IEEE Access, 2019
A Review of Fog Computing and Machine Learning: Concepts, Applications, Challenges, and Open Issues.
IEEE Access, 2019
Modelling an Adjustable Autonomous Multi-agent Internet of Things System for Elderly Smart Home.
Proceedings of the Advances in Neuroergonomics and Cognitive Engineering, 2019
2018
Computer Aided Solution for Automatic Segmenting and Measurements of Blood Leucocytes Using Static Microscope Images.
J. Medical Syst., 2018
A fuzzy logic control in adjustable autonomy of a multi-agent system for an automated elderly movement monitoring application.
Int. J. Medical Informatics, 2018
A real time computer aided object detection of nasopharyngeal carcinoma using genetic algorithm and artificial neural network based on Haar feature fear.
Future Gener. Comput. Syst., 2018
Comput. Electr. Eng., 2018
Comput. Electr. Eng., 2018
Neural network and multi-fractal dimension features for breast cancer classification from ultrasound images.
Comput. Electr. Eng., 2018
An Agent-Based Inference Engine for Efficient and Reliable Automated Car Failure Diagnosis Assistance.
IEEE Access, 2018
Evaluating the Performance of Three Classification Methods in Diagnosis of Parkinson's Disease.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2018
Proceedings of the International Symposium on Agent, Multi-Agent Systems and Robotics, 2018
2017
Solving vehicle routing problem by using improved K-nearest neighbor algorithm for best solution.
J. Comput. Sci., 2017
Solving vehicle routing problem by using improved genetic algorithm for optimal solution.
J. Comput. Sci., 2017
Artificial neural networks for automatic segmentation and identification of nasopharyngeal carcinoma.
J. Comput. Sci., 2017
Review on Nasopharyngeal Carcinoma: Concepts, methods of analysis, segmentation, classification, prediction and impact: A review of the research literature.
J. Comput. Sci., 2017
Analysis of an electronic methods for nasopharyngeal carcinoma: Prevalence, diagnosis, challenges and technologies.
J. Comput. Sci., 2017
Automatic segmentation and automatic seed point selection of nasopharyngeal carcinoma from microscopy images using region growing based approach.
J. Comput. Sci., 2017
Int. J. Intell. Comput. Cybern., 2017