Research Publication
Passion for research work and continuously involved in research work in my collage days helped me in research exploration and discovery. Published my first paper 'An architecture of machine translation from speech to sign language based on machine learning'. Driven by fashion of generative model, published second paper on 'Application of LSTM model for western music composition', which received good recognition. Lastly, worked on paper based on 'Pneumonia detection using Meta Learning' in the field of medical.
NeurIPS - 21
International Conference on Neural Information Processing Systems
Participated in prestigious NeurIPS International conference on machine learning. The experience was enriched in latest cutting-edge ongoing research and highlighting the interesting topics to grow in few years in the field of machine learning. Engaged in various presentations, tutorials, talks, and workshops helped to get deeper understanding of the subject fulfilling my curiosity.
My Paper
This paper explores the possibility of music generation specially focusing on the use of Long Short-Term Memory (LSTM) model. It uses music composition from J.S. Bach, W.A. Mozart, L.V. Beethoven, and F. Chopin. Successfully validated the AI generated music as human composed by the 30 volunteers.
Pneumonia Detection using Ensemble Transfer Learning
The paper addresses the health threat posed by the lung infection called pneumonia on the children all around the world. The author of the paper make comparison between dep learning approach sch as training single deep models from scratch, ensemble learning, transfer learning, and meta-learning to classify pneumonia from chest X-ray images.
This research paper introduces a machine learning-based architecture designed to bridge the communication gap between deaf individuals who use sign language and those unfamiliar with it. The second module employs a machine learning algorithm to translate the text into sign language.