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Prof. Dr. DR.M.SUDHEEP ELAYIDOM

Professor

School of Engineering

Cochin University of Science and Technology
Kochi - 682022, Kerala, India

E-mail-

sudheep@cusat.ac.in




JOURNAL PUBLICATIONS (RECENT) [TOTAL PUBLICATIONS : 75]
  • Design and implementation of eventsKG for situational monitoring and security intelligence in India: An open-source intelligence gathering approach, Intelligent systems with Applications, Vol. 24, 2024

  • GoKnowGraph: A Multilingual Semantic Search System for Government of Kerala System Documents., Journal Of Mathematics, 2024

  • Analytical review and study on various course recommendation systems., International Journal of Wireless and Mobile Computing 25.2(2023):, Inderscience (Scopus) 2023

  • Using secured mLDA For Trend Analysis And Prediction Of Dynamics In public Networks,, Journal of Xidian University, Vol. 16, 2022

  • ‘Design and implementation of an efficient and cost effective deep feature learning model for rice yield mapping, Int. J. Computational Science and Engineering, 2022

  • ‘Design and implementation of an efficient and cost effective deep feature learning model for rice yield mapping, Int. J. Computational Science and Engineering, 2022

  • Novel Compression based Community Detection Approach using Hybrid Honey Badger African Vulture Optimization for Online Social Networks, Concurrency and Computation: Practice and Experience,, 2022

  • ”Novel Compression based Community Detection Approach using Hybrid Honey Badger Bonobo optimizer for Online Social Networks, NeuroQuantology,, Vol. 20, 2022

  • Mammogram pectoral muscle removal and classification using histo-sigmoid based ROI clustering and SDNN, Multimedia Tools and Applications, , 2022

  • ‘Sentiment analysis of product reviews using weighted distance-based whale optimisation assisted deep belief network, Int. J. Business Information Systems, Vol. 39, 2022

  • CONFERENCE PUBLICATIONS (RECENT) [TOTAL PUBLICATIONS : 42]
  • Blockchain-powered Smart Meter Billing: Enabling Transparency and Securit, International Conference on "Developments in Alzheimer's Disease Treatment and Early Intervention through Cutting Edge Technologies" (INCDAD 2024), 2024

  • An Analytical Study on Various Authentication and Security Mechanisms in the Cloud Computing Framework, International Conference on Recent Advancements in Engineering & Technology (ICORETech), 2024

  • CNN Architectures in Lung Carcinoma Nodule Identification: Detailed Analysis with Performance Comparison, Advances in Computational Intelligence and Informatics. ICACII 2023, Vol. 993 , 0, 2024

  • Enhanced MobileNet Architecture with Residual Blocks for Improved CT Image Classification, 1st International Conference on Trends in Engineering Systems and Technologies (ICTEST), 2024

  • Advances in blood cell detection and classification: A review of deep learning and object detection techniques, AIP Conference Proceedings, Vol. 3134 , 0, 2024

  • A Hybrid Method for the Detection and Plucking of Mature Coconut Using an Advanced Object Detection Technique, 1st International Conference on Trends in Engineering Systems and Technologies (ICTEST), 2024

  • Comparative Evaluation of Activation Functions for Bacterial Spot Disease Classification in Bell Pepper Plant Leaves, 4th International Conference on ICT for Digital, Smart, and Sustainable Development. ICIDSSD, 2024

  • . Bacterial Spot Classification in Bell Pepper Plants Based on Convolutional Neural Network Architecture., Recent Trends in Communication and Intelligent Systems. ICRTCIS 2023. Algorithms for Intelligent Systems. Springer, Singapore, 2023

  • "Disease Classification in Bell Pepper Plants Based on Deep Learning Network Architecture, IInd International Conference for Innovation in Technology (INOCON), Bangalore, India,, 2023

  • A Comparison of Optimization Techniques Deep Learning Models Based on Bell Pepper Leaves Diseases Classification, Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS),, 2023

  • BOOKS PUBLISHED
  • Prof. Dr. DR.M.SUDHEEP ELAYIDOM, Sudheep Elayidom, Data Mining and Warehousing, Cengage Learning ,Newdelhi, 2015 , ISBN : 978-81-315-2586-9

  • Prof. Dr. DR.M.SUDHEEP ELAYIDOM, Lija mohan, sarith divakar, Tanmay pandey, shubham agarwal, Cloud computing and bigdata: from the basics to practical usecases, Cengage, 2024 , ISBN : 3:978-9360533953