IEEE

Gender Prediction through Image Analysis: A CNN Model Approach

Abstract: Deep learning finds use in many fields, including security, marketing, and healthcare; gender classification has drawn a lot of interest in all of them. This paper uses an open-source Kaggle ...
IEEE

Deep Learning-Driven Mobile Application for Rice Crop Disease Detection Using CNN

Abstract: This study presents a deep learning-based mobile app for rice crop disease detection using a MobileNetV2-based CNN model trained on a dataset of 4,700 rice leaf images. The app accurately ...
Frontiers

Sentinel-2 forest typology mapping in Central Africa: assessing deep learning and image preprocessing effects

Introduction: Central African forests are key reservoirs of carbon and biodiversity. Developing a detailed, spatially explicit typology of forest types is essential for monitoring and conservation.
IEEE

CM2-Net: A Hybrid CNN-Mamba2 Net for 3D Electromagnetic Tomography image reconstruction

Abstract: Three-dimensional electromagnetic tomography (3D EMT) image reconstruction is characterized by larger data volumes, more complex structures, and stronger spatial correlations. These ...
C&EN

Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...