Apeksha Koul

According to our database, Apeksha Koul authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enhancing the detection of airway disease by applying deep learning and explainable artificial intelligence.

Apeksha Koul, Rajesh K. Bawa, Yogesh Kumar

Multim. Tools Appl., September, 2024

2023

Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda.

Yogesh Kumar, Apeksha Koul, Ruchi Singla, Muhammad Fazal Ijaz

J. Ambient Intell. Humaniz. Comput., July, 2023

A deep learning approaches in text-to-speech system: a systematic review and recent research perspective.

Yogesh Kumar, Apeksha Koul, Chamkaur Singh

Multim. Tools Appl., April, 2023

Machine Learning and Deep Learning Based Time Series Prediction and Forecasting of Ten Nations' COVID-19 Pandemic.

Yogesh Kumar, Apeksha Koul, Sukhpreet Kaur, Yu-Chen Hu

SN Comput. Sci., 2023

2022

A deep learning approaches and fastai text classification to predict 25 medical diseases from medical speech utterances, transcription and intent.

Yogesh Kumar, Apeksha Koul, Seema Mahajan

Soft Comput., 2022

2020

Semantic Segmentation and Contextual Information Based Image Scene Interpretation: A Review.

Ajay Koul, Apeksha Koul

Proceedings of the 3rd International Conference on Information and Computer Technologies, 2020