Abstract: Accurate segmentation and tumor identification in the nasal cavity and paranasal sinuses based on three-dimensional computed tomography (3D CT) scans remain a challenging task even today ...

Abstract: Brain tumors represent one of the most critical and life-threatening medical conditions worldwide that requires timely and accurate diagnosis. This study presents an integrated framework for ...

Plant diseases pose a significant threat to global food security, with severe implications for agricultural productivity. Early and accurate detection of these diseases is crucial, yet it remains a ...

Introduction: Fruit diseases have a serious impact on fruit production, causing a significant drop in economic returns from agricultural products. Due to its excellent performance, deep learning is ...

Emotions are a mental state that is accompanied by a distinct physiologic rhythm, as well as physical, behavioral, and mental changes. In the latest days, physiological activity has been used to study ...

@article {Ter-Sarkisov2020.10.11.20211052, author = {Ter-Sarkisov, Aram}, title = {COVID-CT-Mask-Net: Prediction of COVID-19 from CT Scans Using Regional Features ...

In recent years, with the rapid development of information technology, intelligent transportation systems have become an important way of modern traffic management and an inevitable trend. As the key ...

The ESC-50 dataset is a labeled collection of 2000 environmental audio recordings suitable for benchmarking methods of environmental sound classification. The dataset consists of 5-second-long ...