Nakhchivan University

Residual sequential attention and class-imbalance learning for multi-class peripheral blood cell classification

Abstract Peripheral blood cell classification is challenging when severe class imbalance coincides with fine visual differences among maturation stages and morphologically related cell types. This study investigates a residual sequential attention framework built on ResNeSt50 and...

Testing the reliability of a camera‐trap based abundance proxy for assessing mountain ungulate populations

Abstract Monitoring wildlife abundance is important for understanding species population status and trends and, thus, for informing conservation planning and wildlife management. Yet, abundance monitoring can be challenging and costly to implement, particularly for wildlife of co...