(An International Peer Reviewed, indexed and Open Access Journal)
The journal publishes original papers in the extensive field of Electrical-electronics and Computer engineering. It accepts contributions which are fundamental for the development of electrical engineering and its applications, including overlaps to physics. Manuscripts on both theoretical and experimental work are welcome. Review articles and letters to the editors are also included.
Application areas include (but are not limited to):
Electrical & Electronics Engineering
Computer Engineering
Software Engineering
Biomedical Engineering
Electrical Power Engineering
Electric analysis & Mathematical models.
Electrical Control Engineering
Signal and Image Processing
Communications
Networking
Sensors, Actuators, Remote sensing, Consumer electronics, Fiber optics
Radar and Sonar systems
Artificial Intelligence and its Applications, Expert Systems
Medical imaging, Biomedical analysis and its applications
Computer vision, Pattern recognition,
Robotics, industrial automation
Renewable Energy
2025 - Cilt: 12 Sayı: 4
Araştırma Makalesi
A Novel Fuzzy Logic Based Hand Gesture Recognition SystemAraştırma Makalesi
Improving Face Detection Performance of Compressed MPEG Videos by Using Frame-Independent Scene Change Detection MethodAraştırma Makalesi
Comprehensive Analysis of Grounding System in High Voltage Substation Using Soil Investigation ReportAraştırma Makalesi
DETECTION OF EPILEPTIC SEIZURES WITH DIFFERENT MACHINE LEARNING ALGORITHMS USING EEG SIGNALS IN DAILY LIFEAraştırma Makalesi
An Embedded FPGA Design for Double-Time-Over-Threshold (DToT) MeasurementAraştırma Makalesi
Deepfake Detection for Digital Image Security using Deep Learning MethodsAraştırma Makalesi
Renewable energy transition in Türkiye: The impact of solar and wind based capacity growth on market prices and cost dynamicsAraştırma Makalesi
Comparison of VT-based and CNN-based Models on Teeth SegmentationAraştırma Makalesi
Blockchain-Integrated Framework for Data Security: An Application Based on IoT Data and Deep LearningAll articles published by BAJECE are licensed under the Creative Commons Attribution 4.0 International License. This permits anyone to copy, redistribute, remix, transmit and adapt the work provided the original work and source is appropriately cited.Creative Commons Lisans