Dr. Roohi Sille

About Dr. Roohi Sille

Dr. Roohi Sille, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at University of Petroleum and Energy Studies, specializes in the field of Artificial Neural network, Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

A novel generative adversarial network-based approach for automated brain tumour segmentation

A Comprehensive Review on AI Techniques for Healthcare

Deep Learning Based Model for Multi-classification of Flower Images Check for updates

Unmanned Aerial Vehicle Cellular Communications

Metaverse and Healthcare: An Empirical Investigation

Visualizing neuroscience through AI: A systematic review

Empirical Study on Categorized Deep Learning Frameworks for Segmentation of Brain Tumor

Survey on DL Methods for Flood Prediction in Smart Cities

Dr. Roohi Sille Information

University

Position

Assistant Professor

Citations(all)

116

Citations(since 2020)

85

Cited By

50

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

University of Petroleum and Energy Studies

Google Scholar

View Google Scholar Profile

Dr. Roohi Sille Skills & Research Interests

Artificial Neural network

Artificial Intelligence

Top articles of Dr. Roohi Sille

Title

Journal

Author(s)

Publication Date

A novel generative adversarial network-based approach for automated brain tumour segmentation

Medicina

Roohi Sille

Tanupriya Choudhury

Ashutosh Sharma

Piyush Chauhan

Ravi Tomar

...

2023/1/6

A Comprehensive Review on AI Techniques for Healthcare

Bhumika Sharma

Roohi Sille

Aarushi Bansal

Sudhir Kumar Chaturvedi

2023

Deep Learning Based Model for Multi-classification of Flower Images Check for updates

Emerging Trends in Expert Applications and Security: Proceedings of 2nd ICETEAS 2023, Volume 2

Hitesh Kumar Sharma

Tanupriya Choudhury

Rishi Madan

Roohi Sille

Hussain Mahdi

2023/6/29

Unmanned Aerial Vehicle Cellular Communications

Agbotiname Lucky Imoize

Sardar MN Islam

T Poongodi

Lakshmana Kumar Ramasamy

BVV Siva Prasad

2023

Metaverse and Healthcare: An Empirical Investigation

Hussain Falih Mahdi

Bhumika Sharma

Roohi Sille

Tanupriya Choudhury

2023/6/8

Visualizing neuroscience through AI: A systematic review

Roohi Sille

Akshita Kapoor

Tanupriya Choudhury

Hussain Falih Mahdi

Madhu Khurana

2023

Empirical Study on Categorized Deep Learning Frameworks for Segmentation of Brain Tumor

Roohi Sille

Tanupriya Choudhury

Piyush Chauhan

Hussain Falih Mehdi

Durgansh Sharma

2023/3/30

Survey on DL Methods for Flood Prediction in Smart Cities

Roohi Sille

Bhumika Sharma

Tanupriya Choudhury

Teoh Teik Toe

Jung-Sup Um

2023

A Novel Approach Towards Automated Disease Predictor System Using Machine Learning Algorithms

Roohi Sille

Bhumika Sharma

Tanupriya Choudhury

Thinagaran Perumal

2023/2/17

Artificial intelligence empowered models for UAV communications

Nilanjana Pradhan

Roohi Sille

Shrddha Sagar

2022/10/12

Multi-view deep cnn for automated target recognition and classification of synthetic aperture radar image

Journal of Advances in Information Technology

Sudeshna Chakraborty

Tanupriya Choudhury

Roohi Sille

Chiranjit Dutta

Bhupesh Kumar Dewangan

2022/10

Deep Learning: A Pathway for Automated Brain Tumor Segmentation in MRI Images

Roohi Sille

Piyush Chauhan

Durgansh Sharma

2022/10/20

Utilization and energy consumption optimization for cloud computing environment

Rajeev Tiwari

Roohi Sille

Nilima Salankar

Pardeep Singh

2022

Real time segmentation of medical images

Roohi Sille

2022

Review study on blockchain frameworks for security issues in IoT devices

Roohi Sille

Hussain Falih Mahdi

Tanupriya Choudhury

Samyukta Sahoo

Akshita Kapoor

...

2022/10/20

Dense Hierarchical CNN - A Unified Approach for Brain Tumor Segmentation

Revue d'Intelligence Artificielle

Roohi Sille

T. Choudhury

P. Chauhan

Durgansh Sharma

2021/6/30

A Systematic Approach for Deep Learning Based Brain Tumor Segmentation.

Ingénierie des Systèmes d Inf.

Roohi Sille

Tanupriya Choudhury

Piyush Chauhan

Durgansh Sharma

2021/6

See List of Professors in Dr. Roohi Sille University(University of Petroleum and Energy Studies)