Wireless Sensor Networks
Architectures, communication protocols, energy efficiency, routing, network topologies, and IoT applications in wireless sensor networks.
Course materials coming soon →EgiSoftAI provides course materials, research projects, and academic content in artificial intelligence, image processing, communication systems, and software.
Assoc. Prof. Dr. Yunus Egi conducts academic research in the Department of Electrical and Electronics Engineering at Sirnak University. His research interests include deep learning, computer vision, semantic communications, AI-assisted traffic systems, and radar image processing.
EgiSoftAI aims to provide students with organized access to course materials and share research outputs with a wider audience.
We build custom Android applications, map-based tools and clear, intuitive interfaces. From the first prototype to the working application, we bring design and engineering together.
Mobile tools shaped around your workflow.
Test the experience before development begins.
Turn location and measurement data into useful screens.
Network stations, signal measurements and recording sessions in one Android application. The Network Center interface shows how we turn technical detail into an accessible mobile experience.
SignalMapper ProAndroid
Explore the interface using the tabs.
Turkish app interface · Illustrative data.
Lecture notes, weekly topics, slides, and supporting materials will be shared here throughout the semester.
Architectures, communication protocols, energy efficiency, routing, network topologies, and IoT applications in wireless sensor networks.
Course materials coming soon →Continuous- and discrete-time signals, LTI systems, convolution, Fourier analysis, and the fundamentals of Laplace and Z transforms.
Course materials coming soon →Projects can later be expanded with results, publications, datasets, and GitHub links.
SNR-aware end-to-end visual transmission systems.
Real-time object detection, tracking, and adaptive signal control.
Diffusion and deep-learning-based denoising approaches.
YOLO-based plant tissue and callus segmentation.
Articles, conference papers, book chapters, and project outputs will be listed here with DOI links.
Add publication infoContact email and social profile links can be added in the next step.