Abstract: Brain tumors are the result of aberrant cells in the brain growing. The patient's prognosis and diagnosis depend on the type of tumor being predicted. This paper proposes a hybrid classifier ...
Note: The demo video provides a complete walkthrough of the system's capabilities and is highly recommended for understanding the full potential of the MMDD ...
Copyright: © 2025 The Authors. Published by Elsevier Ltd. Image classification algorithms were trained on 8283 manually labeled food package images, annotated and ...
Abstract: Intelligent Tutoring Systems (ITS) play a crucial role in STEM education by providing personalized and adaptive learning experiences. However, enhancing student engagement and performance ...
This research investigates deep learning-based approach for defect detection in the steel production using Severstal steel dataset. The developed system integrates DenseNet121 for classification and ...
With the development of bionic computer vision for images processing, researchers have easily obtained high-resolution zoom sensing images. The development of drones equipped with high-definition ...
Traditional facial recognition methods depend on a large number of training samples due to the massive turning of synaptic weights for low-level feature extractions. In prior work, a brain-inspired ...
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