Karrar Hameed Abdulkareem
Orcid: 0000-0001-7302-2049
According to our database1,
Karrar Hameed Abdulkareem
authored at least 50 papers
between 2019 and 2024.
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Bibliography
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
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
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
Bio-inspired robotics enabled schemes in blockchain-fog-cloud assisted IoMT environment.
J. King Saud Univ. Comput. Inf. Sci., January, 2023
A robust algorithmic cum integrated approach of interval-valued fuzzy hypersoft set and OOPCS for real estate pursuit.
PeerJ Comput. Sci., 2023
2022
Privacy-aware genetic algorithm based data security framework for distributed cloud storage.
Microprocess. Microsystems, October, 2022
ACM Trans. Sens. Networks, 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
EEG Channel Selection Based User Identification via Improved Flower Pollination Algorithm.
Sensors, 2022
Deadline aware and energy-efficient scheduling algorithm for fine-grained tasks in mobile edge computing.
Int. J. Web Grid Serv., 2022
Determining Importance of Many-Objective Optimisation Competitive Algorithms Evaluation Criteria Based on a Novel Fuzzy-Weighted Zero-Inconsistency Method.
Int. J. Inf. Technol. Decis. Mak., 2022
Int. J. Interact. Multim. Artif. Intell., 2022
Comprehensive Review of Machine Learning (ML) in Image Defogging: Taxonomy of Concepts, Scenes, Feature Extraction, and Classification techniques.
IET Image Process., 2022
Review on COVID-19 diagnosis models based on machine learning and deep learning approaches.
Expert Syst. J. Knowl. Eng., 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
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
Federated learning enables intelligent reflecting surface in fog-cloud enabled cellular network.
PeerJ Comput. Sci., 2021
Machine learning-data mining integrated approach for premature ventricular contraction prediction.
Neural Comput. Appl., 2021
A new standardisation and selection framework for real-time image dehazing algorithms from multi-foggy scenes based on fuzzy Delphi and hybrid multi-criteria decision analysis methods.
Neural Comput. Appl., 2021
Microprocess. Microsystems, 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
EEG feature fusion for motor imagery: A new robust framework towards stroke patients rehabilitation.
Comput. Biol. Medicine, 2021
2020
Sensors, 2020
A Novel Multi-Perspective Benchmarking Framework for Selecting Image Dehazing Intelligent Algorithms Based on BWM and Group VIKOR Techniques.
Int. J. Inf. Technol. Decis. Mak., 2020
Helping doctors hasten COVID-19 treatment: Towards a rescue framework for the transfusion of best convalescent plasma to the most critical patients based on biological requirements via ml and novel MCDM methods.
Comput. Methods Programs Biomed., 2020
A Uniform Intelligent Prioritisation for Solving Diverse and Big Data Generated From Multiple Chronic Diseases Patients Based on Hybrid Decision-Making and Voting Method.
IEEE Access, 2020
Benchmarking Methodology for Selection of Optimal COVID-19 Diagnostic Model Based on Entropy and TOPSIS Methods.
IEEE Access, 2020
2019
Based Multiple Heterogeneous Wearable Sensors: A Smart Real-Time Health Monitoring Structured for Hospitals Distributor.
IEEE Access, 2019
Fault-Tolerant mHealth Framework in the Context of IoT-Based Real-Time Wearable Health Data Sensors.
IEEE Access, 2019
A Review of Fog Computing and Machine Learning: Concepts, Applications, Challenges, and Open Issues.
IEEE Access, 2019