Semantic Segmentation and Contextual Information Based Image Scene Interpretation: A Review. - Ajay Koul; Apeksha Koul (ICICT, 2020)

A deep learning approaches and fastai text classification to predict 25 medical diseases from medical speech utterances, transcription and intent. - Yogesh Kumar 002; Apeksha Koul; Seema Mahajan (Soft Comput., 2022)

Machine Learning and Deep Learning Based Time Series Prediction and Forecasting of Ten Nations' COVID-19 Pandemic. - Yogesh Kumar 002; Apeksha Koul; Sukhpreet Kaur; Yu-Chen Hu (SN Comput. Sci., 2023)

A deep learning approaches in text-to-speech system: a systematic review and recent research perspective. - Yogesh Kumar 002; Apeksha Koul; Chamkaur Singh (Multim. Tools Appl., 2023)

Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda. - Yogesh Kumar 002; Apeksha Koul; Ruchi Singla; Muhammad Fazal Ijaz (J. Ambient Intell. Humaniz. Comput., 2023)

Enhancing the detection of airway disease by applying deep learning and explainable artificial intelligence. - Apeksha Koul; Rajesh K. Bawa; Yogesh Kumar 002 (Multim. Tools Appl., 2024)