Artificial Intelligence
Core concepts, search algorithms, knowledge representation, and applications.
Course page →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.
Each course card now includes a themed visual.
Core concepts, search algorithms, knowledge representation, and applications.
Course page →Neural networks, CNNs, RNNs, attention, transformers, and applied coding examples.
Course page →Digital communications, channel models, and AI-enabled communication.
Course page →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.