Mejdl S. Safran

Orcid: 0000-0002-7445-7121

According to our database1, Mejdl S. Safran authored at least 34 papers between 2012 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
X-Brain: Explainable recognition of brain tumors using robust deep attention CNN.
Biomed. Signal Process. Control., 2025

2024
Profitability trend prediction in crypto financial markets using Fibonacci technical indicator and hybrid CNN model.
J. Big Data, December, 2024

Detecting Thyroid Disease Using Optimized Machine Learning Model Based on Differential Evolution.
Int. J. Comput. Intell. Syst., December, 2024

Empowering EEG motor imagery classification with deep transfer learning approach.
Expert Syst. J. Knowl. Eng., April, 2024

Selective Feature Reinforcement Network for Robust Remote Fault Diagnosis of Wind Turbine Bearing Under Non-Ideal Sensor Data.
IEEE Trans. Instrum. Meas., 2024

Multiscale Attention-Based Hand Keypoint Detection.
IEEE Trans. Instrum. Meas., 2024

Leveraging coverless image steganography to hide secret information by generating anime characters using GAN.
Expert Syst. Appl., 2024

Secure Federated Learning for Parkinson's Disease: Non-IID Data Partitioning and Homomorphic Encryption Strategies.
IEEE Access, 2024

Dynamic AES Encryption and Blockchain Key Management: A Novel Solution for Cloud Data Security.
IEEE Access, 2024

Synchronization for Industrial Internet of Things Using Resilient Fault-Tolerant Control Design.
IEEE Access, 2024

Remote Sensing Single-Image Super-Resolution Using Convolutional Block Attention Residual Network With Joint Adversarial Mechanisms.
IEEE Access, 2024

Palm Leaf Health Management: A Hybrid Approach for Automated Disease Detection and Therapy Enhancement.
IEEE Access, 2024

Identification of High Energy Gamma Particles From the Cherenkov Gamma Telescope Data Using a Deep Learning Approach.
IEEE Access, 2024

Improved Crow Search-Based Feature Selection and Ensemble Learning for IoT Intrusion Detection.
IEEE Access, 2024

Elevating Driver Behavior Understanding With RKnD: A Novel Probabilistic Feature Engineering Approach.
IEEE Access, 2024

TransNet: Deep Attentional Hybrid Transformer for Arabic Posts Classification.
IEEE Access, 2024

Classification of Oral Cancer Into Pre-Cancerous Stages From White Light Images Using LightGBM Algorithm.
IEEE Access, 2024

DMPNet: Distributed Multi-Scale Pyramid Network for Real-Time Semantic Segmentation.
IEEE Access, 2024

Hybrid Machine Learning Model for Efficient Botnet Attack Detection in IoT Environment.
IEEE Access, 2024

2023
Classification of hyperspectral images using fusion of CNN and MiniGCN with SVM.
Int. J. Digit. Earth, December, 2023

Improving Performance of Differential Evolution Using Multi-Population Ensemble Concept.
Symmetry, October, 2023

Differential Evolution Using Enhanced Mutation Strategy Based on Random Neighbor Selection.
Symmetry, October, 2023

A Meta Modeling-Based Interoperability and Integration Testing Platform for IoT Systems.
Sensors, October, 2023

Detection of Drowsiness among Drivers Using Novel Deep Convolutional Neural Network Model.
Sensors, October, 2023

Enhancing Diagnosis of Anterior and Inferior Myocardial Infarctions Using UWB Radar and AI-Driven Feature Fusion Approach.
Sensors, September, 2023

Efficient Classification of ECG Images Using a Lightweight CNN with Attention Module and IoT.
Sensors, September, 2023

Deep Learning-Based IoT System for Remote Monitoring and Early Detection of Health Issues in Real-Time.
Sensors, 2023

Addressing Uncertainty in Imbalanced Histopathology Image Classification of HER2 Breast Cancer: An Interpretable Ensemble Approach With Threshold Filtered Single Instance Evaluation (SIE).
IEEE Access, 2023

Privacy-Preserving On-Screen Activity Tracking and Classification in E-Learning Using Federated Learning.
IEEE Access, 2023

Performance Prediction of Students in Higher Education Using Multi-Model Ensemble Approach.
IEEE Access, 2023

2019
Efficient Learning-Based Recommendation Algorithms for Top-<i>N</i> Tasks and Top-<i>N</i> Workers in Large-Scale Crowdsourcing Systems.
ACM Trans. Inf. Syst., 2019

2015
Development of MapReduce and MPI Programs for Motif Search.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

2013
From Big Data to Big Data Mining: Challenges, Issues, and Opportunities.
Proceedings of the Database Systems for Advanced Applications, 2013

2012
Improving Relevance Prediction for Focused Web Crawlers.
Proceedings of the 2012 IEEE/ACIS 11th International Conference on Computer and Information Science, Shanghai, China, May 30, 2012


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