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Harikumar Pallathadka

Researcher at International University, Cambodia

Publications -  45
Citations -  404

Harikumar Pallathadka is an academic researcher from International University, Cambodia. The author has contributed to research in topics: Computer science & Support vector machine. The author has an hindex of 1, co-authored 18 publications receiving 5 citations.

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Computational Technique Based on Machine Learning and Image Processing for Medical Image Analysis of Breast Cancer Diagnosis

TL;DR: An evolutionary approach for classifying and detecting breast cancer that is based on machine learning and image processing that is advantageous for accurately identifying breast cancer disease using image analysis is discussed.
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IMPACT OF MACHINE learning ON Management, healthcare AND AGRICULTURE

TL;DR: In the agriculture and healthcare industries, AI has been deployed to achieve better crop production, disease prediction, continuous monitoring, efficient supply chain management, improved operational efficiency and reduced water waste, with the main goal of designing standard, reliable product quality control methods and the search for new ways of reaching and serving society while maintaining low cost as mentioned in this paper.
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Intrusion Detection Using Machine Learning for Risk Mitigation in IoT-Enabled Smart Irrigation in Smart Farming

TL;DR: This article establishes a framework for detecting and classifying intrusions into IoT networks used in agriculture by using the NSL KDD data set as an input data set and evaluating accuracy, precision, and recall parameters.
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Applications of artificial intelligence in business management, e-commerce and finance

TL;DR: In the e-commerce and financial industries, AI has been deployed to achieve better customer experience, efficient supply chain management, improved operational efficiency, and reduced mate size, with the main goal of designing standard, reliable product quality control methods.
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IMPACT OF MACHINE learning ON Management, healthcare AND AGRICULTURE

TL;DR: In the agriculture and healthcare industries, AI has been deployed to achieve better crop production, disease prediction, continuous monitoring, efficient supply chain management, improved operational efficiency and reduced water waste, with the main goal of designing standard, reliable product quality control methods and the search for new ways of reaching and serving society while maintaining low cost as mentioned in this paper .