Ibrahim Alrashdi
Orcid: 0000-0001-7537-5542
According to our database1,
Ibrahim Alrashdi authored at least 43 papers
between 2019 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2026
Sustainable diagnostic accuracy in healthcare 4.0: a comparative study of machine learning models with association rule-based feature reduction.
Clust. Comput., August, 2026
Comparative analysis of machine learning and deep learning approaches for fault detection in industrial applications using CWRU, IMS, and TEP datasets.
Clust. Comput., August, 2026
IEEE Trans. Intell. Transp. Syst., June, 2026
EmoSyn: Adaptive Emotion Framework for Sentiment Analysis and Internet of Medical Things.
IEEE J. Biomed. Health Informatics, May, 2026
A Patient-Split, Multi-Centre Study of CNN-Transformer Synergy for Explainable Breast-MRI Diagnosis.
IEEE Trans. Consumer Electron., May, 2026
An enhanced hybrid artificial bee colony and genetic algorithm for multi-objective workflow scheduling in the cloud.
Computing, February, 2026
A hybrid deep learning framework integrating local lesion characterization and global retinal contextualization for enhanced diabetic retinopathy classification.
Eng. Appl. Artif. Intell., 2026
Graph Attention Networks for Skin Lesion Classification with CNN-Driven Node Features.
Comput. Mater. Continua, 2026
2025
An efficient binary spider wasp optimizer for multi-dimensional knapsack instances: experimental validation and analysis.
J. Big Data, December, 2025
Improving energy efficiency and routing reliability in wireless sensor networks using modified ant colony optimization.
EURASIP J. Wirel. Commun. Netw., December, 2025
Deep learning framework for land cover and land use classification: five case studies with hyperspectral and RGB imagery.
Neural Comput. Appl., November, 2025
A robust framework utilizing artificial intelligence to enhance services in smart city environments.
Clust. Comput., October, 2025
Energy-Efficient Task Allocation for IIoT Deep Learning Applications: An Embedded Edge Clusters Solution.
IEEE Internet Things J., September, 2025
Enhancing the efficiency of lung cancer screening: predictive models utilizing deep learning from CT scans.
Neural Comput. Appl., June, 2025
An enhanced LSHADE-based algorithm for global and constrained optimization in applied mechanics and power flow problems.
Swarm Evol. Comput., 2025
IEEE Internet Things J., 2025
BSCP-SG: Blockchain-enabled secure communication protocols for IoT-driven smart grid systems.
Internet Things, 2025
Real-Time Forest Fire Detection, Monitoring, and Mitigation to Safeguard Humanity Using YOLO and Federated Learning.
Int. J. Distributed Sens. Networks, 2025
A Fuzzy Multi-Objective Framework for Energy Optimization and Reliable Routing in Wireless Sensor Networks via Particle Swarm Optimization.
Comput. Mater. Continua, 2025
Enhancing software quality assurance in ubiquitous learning environments through mutation testing and diverse test oracles.
Comput. Hum. Behav., 2025
2024
CNN-IKOA: convolutional neural network with improved Kepler optimization algorithm for image segmentation: experimental validation and numerical exploration.
J. Big Data, December, 2024
Fog-based deep learning framework for real-time pandemic screening in smart cities from multi-site tomographies.
BMC Medical Imaging, December, 2024
DeepSecDrive: An explainable deep learning framework for real-time detection of cyberattack in in-vehicle networks.
Inf. Sci., February, 2024
Next generation of computer vision for plant disease monitoring in precision agriculture: A contemporary survey, taxonomy, experiments, and future direction.
Inf. Sci., 2024
A contrastive learning approach for enhanced robustness for strengthening federated intelligence in internet of visual things.
Internet Things, 2024
Enhanced brain tumor diagnosis using combined deep learning models and weight selection technique.
Frontiers Neuroinformatics, 2024
Evolution-based energy-efficient data collection system for UAV-supported IoT: Differential evolution with population size optimization mechanism.
Expert Syst. Appl., 2024
A computational deep learning approach for establishing long-term declarative episodic memory through one-shot learning.
Comput. Hum. Behav., 2024
FIDWATCH: Federated incremental distillation for continuous monitoring of IoT security threats.
Ad Hoc Networks, 2024
Enhanced Community Detection via Convolutional Neural Network: A Modified Approach Based on MRFasGCN Algorithm.
IEEE Access, 2024
2023
Comput. Syst. Sci. Eng., 2023
Key Technologies, Applications, Trends of Visual Analysis and Prediction in Healthcare System.
Proceedings of the IEEE Globecom Workshops 2023, 2023
Proceedings of the IEEE Globecom Workshops 2023, 2023
2022
Comput. Intell. Neurosci., 2022
Recent Advances and Challenges of Edge AI and IoT Assisted Covid-19 Alike Detection Systems.
Proceedings of the IEEE Globecom 2022 Workshops, 2022
2021
Complex., 2021
IEEE Access, 2021
2020
Protecting Location Privacy for Crowd Workers in Spatial Crowdsourcing Using a Novel Dummy-Based Mechanism.
IEEE Access, 2020
TASC: Efficient Task Assignment in Spatial Crowdsourcing with Workers Privacy Protection.
Proceedings of the 2020 IEEE International Conference on Electro Information Technology, 2020
2019
Proceedings of the 10th IEEE Annual Ubiquitous Computing, 2019
A Practical Evaluation of a Secure and Energy-Efficient Smart Parking System Using the MQTT Protocol.
Proceedings of the 3rd International Conference on Information System and Data Mining, 2019
Proceedings of the IEEE 9th Annual Computing and Communication Workshop and Conference, 2019
Proceedings of the IEEE 9th Annual Computing and Communication Workshop and Conference, 2019