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Dr. Sunitha Cheriyan
Dr. Sunitha Cheriyan
University of Technology and Applied Sciences (Higher College of Technology)
Verified email at utas.edu.om
Title
Cited by
Cited by
Year
Intelligent sales prediction using machine learning techniques
S Cheriyan, S Ibrahim, S Mohanan, S Treesa
2018 International Conference on Computing, Electronics & Communications …, 2018
982018
An impact of covid-19 on virtual learning: The innovative study on undergraduate students of Mumbai Metropolitan Region
B Gaikar Vilas, M Joshi Bharat, B Jaywant, NS Mhatre, K Chitra, ...
Academy of Strategic Management Journal 20, 1-19, 2021
162021
IoT, IR 4.0, and AI Technology Usability and Future Trend Demands: Multi-Criteria Decision-Making for Technology Evaluation
M Tabassum, S Perumal, S Mohanan, P Suresh, S Cheriyan, W Hassan
Design methodologies and tools for 5G network development and application …, 2021
112021
Predictive analytics of road accidents in Oman using machine learning approach
G Narasimhan, BG Ephrem, S Cheriyan, N Balasupramanian
IEEE Xplore, 2018
102018
Web page prediction using Markov model and Bayesian statistics
S Cheriyan, K Chitra
2017 Second International Conference on Electrical, Computer and …, 2017
42017
MR-AMFO-CNN: an intelligent recommendation system using optimized deep learning classifications
S Cheriyan, K Chitra
International Journal of Information Technology 15 (7), 3923-3933, 2023
12023
Deploying smartAcademy: A cloud integrated methodology to develop smart IT graduates to meet the ICT enabled industrial needs in Middle East
S Mohanan, S Cheriyan, RK Rajesh
ieeexplore, 205 - 210, 2017
12017
Comprehensible Predictive System Model using Parameter less Fast K-Means (EPFK-Means) for web usage data
S Cheriyan, J Chembath
Procedia computer science 115, 243-250, 2017
12017
An Ontology-Based Approach for Making Smart Suggestions Based on Sequence-Based Context Modeling and Deep Learning Classifications
S Cheriyan, K Chitra
International Conference on Computers, Management & Mathematical Sciences …, 2022
2022
A Cloud Based Recommendation System to Enhance the Employability of Fresh IT Graduates
SC Saju Mohanan
International Journal of Management and Applied Science (IJMAS) 3 (10), 63-70, 2018
2018
Empirical Analysis on the Efficiency of Clustering Algorithms Based on the Signifi-cance of Cluster Size
S Cheriyan, S Ibrahim, S Treesa
A semantic preprocessing methodology to improve the recommendations through enhanced preprocessing and feature extraction
S Cheriyan, K Chitra
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