Nermeen Abou Baker

Achieving nearly 98% accuracy in automated e-waste sorting could revolutionize recycling processes in smart cities.

Achieving 94% precision in battery detection using transfer learning highlights a significant leap in image classification for critical applications.

Fine-tuning SAM can boost waste segmentation performance by over 30 IoU points, challenging the notion that it should be overlooked.

Fine-tuning just 1-6% of parameters can match traditional methods, revolutionizing efficiency in instance segmentation tasks.