The European Journal of Research and Development (EJRnD) is a specialized, peer-reviewed scientific journal, published online four times a year. It serves as an important platform for researchers, engineers, scientists, R&D professionals, and students who seek to stay up-to-date with the latest research and developments in engineering and natural sciences. With a particular emphasis on university-industry collaboration, EJRnD is one of the pioneering journals in this field, dedicated to fostering meaningful interactions between academia and industry.
The journal accepts submissions exclusively through its online system, powered by Orclever Science&Research Group, and since 2022, all articles are required to be submitted in English. Authors can track the entire publication process through the system. EJRnD follows a single-blind peer review process to maintain high standards and ensure that only impactful research is published.
EJRnD is designed to support the academic and practical needs of professionals by presenting original research that bridges the gap between academic theory and industrial practice. With its focus on innovation and sustainability, the journal is committed to contributing to the global scientific community and promoting high-quality research that can have a significant real-world impact.
Current Issue
Vol. 5 No. 1 (2025): The European Journal of Research and Development
The European Journal of Research and Development
Volume: 5
Published: 01.01.2025
Articles
Machine Learning-Based Vehicle Renewal Prediction: A Hybrid Approach for Customer Retention in Premium Automotive Markets
Pages: 355–377
Optimization of Pultrusion Process Parameters for Carbon Fiber/Epoxy Composites
Pages: 212-227
Improving the Accuracy of Location Data in UWB-Based RTLS Using Deep Learning Methods
Pages: 246-262
Development of Yarn Detection Sensor for Circular Patterned Yarn Dyeing Machine
Pages: 276-280
Analytical Prediction and Experimental Validation of Bolt Self-Loosening under Vibration
Pages: 294–309
A New Approach Based on Ensemble Clustering for the Fabric Color Batching Problem
Pages: 310–321
Synthesis and Characterization of Stereoselective Ozonides for Sustainable Textile Wet Processes
Pages: 322-339
Classifying Operator Experience from Electric Screwdriving Signals: A BiLSTM-Based Study with External Validation
Pages: 201-221
UWB-Based High-Precision Real-Time Positioning and Multi-Dimensional Visualization
Pages: 390-406
Secure Use of Artificial Intelligence with Artificial Intelligence Based Control
Pages: 465–468
Investigation of Mechanical Properties of Hemp Hurd/PP Composites for the Application of Water Irrigation Pipes
Pages: 378–389
An Innovative Approach to Technical Textiles: Assessing the Performance of Olefin-Based Outdoor Fabrics
Pages: 281-293
A Decision Support Framework for Customer Loyalty Program Managers: Reward Mix Optimization
Pages: 228-245
Evaluation of ROPS and FOPS Tests for Structural Integrity of Forklifts
Pages: 164-200
An Empirical Comparison of Claude, Llama, and Gemini for Aspect-Level Sentiment
Pages: 149-163
Environmentally Friendly Textile Printing Methods: Examining Natural Dyes as Alternatives
Pages: 113-129
Impact of Phase Inversion and Process Parameters on Alkyd Emulsion Properties
Pages: 1-16
Machine Learning Models and Explainable Artificial Intelligence Approaches for Intrusion Detection in IoT Networks
Pages: 17-33
Two-Factor Authentication System for Protecting Metadata and Connected Vehicles
Pages: 34-51
A Review of Deep Learning Approaches with CMR Images in the Diagnosis of Cardiovascular Diseases
Pages: 52-67
Mechanical and Environmental Comparison of Natural Fibers and Glass Fiber in the L-RTM Method
Pages: 84-94