Roohi Sille

Roohi Sille has done PhD in Computer Science and Engineering, M.Tech in Artificial Intelligence and Neural Networks from University of Petroleum and Energy Studies, Dehradun in 2014. Her B.Tech is in Biomedical Engineering from Bundelkhand University, Jhansi (2012). She is currently working as Assistant Professor in UPES, Dehradun. Her research area is Machine Learning, Deep Learning and Image Processing. She has 8 years of experience in teaching.

Publications

Utilizing AI Techniques for the Perimenopause to Menopause Transition
Utilizing AI Techniques for the Perimenopause to Menopause Transition
Roohi Sille, Tanupriya Choudhury, Niharika Singh. © 2024. 300 pages.
In the domain of women's health, the perimenopause to menopause transition stands out as a critical yet often misunderstood experience. Spanning several years before...
Survey on DL Methods for Flood Prediction in Smart Cities
Survey on DL Methods for Flood Prediction in Smart Cities
Roohi Sille, Bhumika Sharma, Tanupriya Choudhury, Teoh Teik Toe, Jung-Sup Um. © 2023. 19 pages.
The government has focused to maintain the needs of the populace's health and hygienic standards; numerous initiatives are involved, such as flood forecasting, water...
Visualizing Neuroscience Through AI: A Systematic Review
Visualizing Neuroscience Through AI: A Systematic Review
Roohi Sille, Akshita Kapoor, Tanupriya Choudhury, Hussain Falih Mahdi, Madhu Khurana. © 2023. 13 pages.
The field of neuroscience explains how the neural networks in the brain work together to perform a variety of tasks, including pattern recognition, relative memory, object...
A Comprehensive Review on AI Techniques for Healthcare
A Comprehensive Review on AI Techniques for Healthcare
Bhumika Sharma, Roohi Sille, Aarushi Bansal, Sudhir Kumar Chaturvedi. © 2023. 23 pages.
In this chapter, the authors will look at how AI is advancing healthcare in terms of diagnosis, prognosis, treatment, medical education and training of the students, primary...