21 Apr 2026Open access
Evaluating convolutional neural networks and machine learning algorithms for accurate landslide detection from satellite dataPublisher siteAutomatika, Landslides and related hazards
Active, last published 2026
In ai in cancer detection
Sreekumar
Narayanan
Scholar“Research focused on AI in cancer detection and adjacent fields.”
Botho University
Botswana
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01 · About the work
What I study
reekumar Narayanan is a researcher working on AI in cancer detection. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Sreekumar's work has been cited 94 times across 2 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
AI in cancer detection×2Energy Load and Power Forecasting×2Solar Radiation and Photovoltaics×2Opportunistic and Delay-Tolerant Networks×2Brain Tumor Detection and Classification×2
04 · Where I am
Affiliations
Affiliation on published researchBotho University, BotswanaDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
6 works15 Oct 20243cites
Effectiveness of generative adversarial networks in denoising medical imaging (CT/MRI images)Publisher siteMultimedia Tools and Applications, Cell Image Analysis Techniques
4 Sept 2024
MRI Image Processing and Segmentation on Brain Tumor: A SurveyPublisher site22 Jul 2024Open access
Satellite Remote Sensing Analysis Using Effective Feature Extraction & Classification Using Deep Learning TechniquePublisher site18 Jun 20244cites
Innovative Hybrid Approach for Enhanced Renewable Energy Generation Forecasting Using Recurrent Neural Networks and Generative Adversarial NetworksPublisher siteJournal of Electrical Engineering and Technology, Energy Load and Power Forecasting
7 Mar 202411cites
Hybrid Forecasting Model Integrating RNN-LSTM for Renewable Energy ProductionPublisher siteElectric Power Components and Systems, Energy Load and Power Forecasting
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