Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Investigation of Brain Tumor Recognition and Classification using Deep Learning in Medical Image Processing Subject The topic of the resource Bit Error Rate; Data Analytics; Machine Learning; Network Monitoring; Neural Networks; Optical Communications and Networking; Optical Signal to Noise Ratio Description An account of the resource A brain tumour is the growth of brain cells that are abnormal, some of which may progress into cancer. Magnetic Resonance Imaging (MRI) scans are the method used most frequently to detect brain tumours. The brain's abnormal tissue growth can be seen on the MRI images, which reveal. Deep learning and machine learning techniques are employed to identify brain tumours in a number of research publications. It only takes a very short amount of time to predict a brain tumour when these algorithms are applied to MRI images, and the increased accuracy makes patient treatment simpler. Thanks to these forecasts, the radiologist can make quick decisions. The suggested approach employs deep learning, a convolution neural network (CNN), an artificial neural network (ANN), a self-defined neural network, andthe existence of brain tumor. 2022 IEEE. Creator An entity primarily responsible for making the resource Karpakam S.; Senthilkumar N.; Kishorekumar R.; Ramani U.; Malini P.; Irfanbasha S. Source A related resource from which the described resource is derived Proceedings - International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2022, pp. 185-188. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICAISS55157.2022.10010954" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAISS55157.2022.10010954</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147543779&amp;doi=10.1109%2FICAISS55157.2022.10010954&amp;partnerID=40&amp;md5=7559eaab44a8c6fd321342d8804a9cee" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147543779&amp;doi=10.1109%2fICAISS55157.2022.10010954&amp;partnerID=40&amp;md5=7559eaab44a8c6fd321342d8804a9cee</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166548962-1 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Karpakam S., Sri Eshwar College of Engineering, Coimbatore, India; Senthilkumar N., Dr.NGP Institute of Technology, Coimbatore, India; Kishorekumar R., School of Engineering and Technology, CHRIST University, Bangalore, India; Ramani U., K.Ramakrishnan College of Engineering, Trichy, India; Malini P., Vivekanandha College of Technology for Women, Triuchengode, India; Irfanbasha S., K.Ramakrishnan College of Engineering, Trichy, India