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Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trading model CNN-TA using a 2-D convolutional neural network based on image processing properties.
Android based Vocal Vision for Visually Impaired. Object Detection, Voice Assistance, Optical Character Reader, Read Aloud, Face Recognition, Landmark Recognition, Image Labelling etc.
A cnn framework on Android platform, implemented with RenderScript and java, support MobileNet-SSD and faster-rcnn. No JNI/C++ or thirdparty dependencies.
An Android app for real-time facial emotion recognition, designed to improve accuracy for Middle Eastern faces and women wearing hijabs. The CNN model is trained on a hybrid dataset (FER2013, CK+, JAFFE, and IEFDB), achieving 88% accuracy on the hybrid test set and 90% on IEFDB test set.
A Java-based implementation of Convolutional Neural Networks (CNN) for character recognition. This repository includes the necessary code, datasets, and documentation to train and evaluate a CNN model for recognizing handwritten or printed characters.