Fine-grained image classification tasks face challenges such as difficulty in labeling, scarcity of samples, and small category differences. To address this problem, this study proposes a novel ...

Image Classification is widely used in various fields such as Plant leaf disease classification, facial expression classification. To make bulky images handy, image classification is done using the ...

Environmental images often contain mixed elements, such as forests bordering water bodies or urban areas with vegetation, which complicates the classification task. In this paper, we propose a novel ...

Learn how to develop Android apps using Java, a popular programming language. Follow six steps to install Android Studio, create a project, design the UI, write the code, add dependencies, and ...

As a new optical machine learning framework, the diffractive deep neural network (D2NN) has attracted much attention due to its advantages such as low power consumption, parallel computing, and fast ...

Mobile security threats have increased due to the growing popularity of Android apps, especially in malware detection. Current methods give good performance in binary classification but most have ...

Android app that uses a TensorFlow Lite model for image classification of different type of oranges, trained through Google's Teachable Machine.

Watch it in action with this online demo, which uses WebGPU to implement CLIP (Contrastive Language–Image Pre-training) running in one’s browser, using the input from an attached camera.

The application currently works on Android devices. The applicaiton was developed within the AndroidStudio IDE, using Java and XML for the development of the back-end and the front-end of the app ...