Open Access
Issue |
MATEC Web Conf.
Volume 392, 2024
International Conference on Multidisciplinary Research and Sustainable Development (ICMED 2024)
|
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Article Number | 01129 | |
Number of page(s) | 17 | |
DOI | https://doi.org/10.1051/matecconf/202439201129 | |
Published online | 18 March 2024 |
- Ramdas Vankdothu, Dr.Mohd Abdul Hameed, Husnah Fatima ” A Brain Tumor Identification and Classification Using Deep Learning based on CNN-LSTM Method” Computers and Electrical Engineering , 101 (2022) 107960 [CrossRef] [Google Scholar]
- Ramdas Vankdothu, .Mohd Abdul Hameed “Adaptive features selection and EDNN based brain image recognition on the internet of medical things”, Computers and Electrical Engineering , 103 (2022) 108338. [CrossRef] [Google Scholar]
- Ramdas Vankdothu, .Mohd Abdul Hameed, Ayesha Ameen, Raheem,Unnisa “ Brain image identification and classification on Internet of Medical Things in healthcare system using support value based deep neural network” Computers and Electrical Engineering,102 (2022) 108196. [CrossRef] [Google Scholar]
- Ramdas Vankdothu, .Mohd Abdul Hameed ” Brain tumor segmentation of MR images using SVM and fuzzy classifier in machine learning” Measurement: Sensors Journal,Volume 24, 2022, 100440 . [CrossRef] [Google Scholar]
- Ramdas Vankdothu, .Mohd Abdul Hameed ” Brain tumor MRI images identification and classification based on the recurrent convolutional neural network” Measurement: Sensors Journal,Volume 24, 2022, 100412. [CrossRef] [Google Scholar]
- Bhukya Madhu, M.Venu Gopala Chari, Ramdas Vankdothu, .Arun Kumar Silivery, Veerender Aerranagula ” Intrusion detection models for IOT networks via deep learning approaches ” Measurement: Sensors Journal,Volume 25, 2022, 100641 [Google Scholar]
- Mohd Thousif Ahemad, Mohd Abdul Hameed, Ramdas Vankdothu ” COVID-19 detection and classification for machine learning methods using human genomic data” Measurement: Sensors Journal,Volume 24, 2022, 100537 [CrossRef] [Google Scholar]
- S. Rakesh a, NagaratnaP.Hegde b, M. VenuGopalachari c, D. Jayaram c, Bhukya Madhu d, MohdAbdul Hameed a, Ramdas Vankdothu eL.K. Suresh Kumar, “Moving object detection using modified GMM based background subtraction” Measurement: Sensors, Journal,Volume 30, 2023, 100898 [CrossRef] [Google Scholar]
- Ramdas Vankdothu, Dr.Mohd Abdul Hameed, Husnah Fatima “Efficient Detection of Brain Tumor Using Unsupervised Modified Deep Belief Network in Big Data” Journal of Adv Research in Dynamical & Control Systems, Vol. 12, 2020. [Google Scholar]
- Ramdas Vankdothu, Dr.Mohd Abdul Hameed, Husnah Fatima “Internet of Medical Things of Brain Image Recognition Algorithm and High Performance Computing by Convolutional Neural Network” International Journal of Advanced Science and Technology, Vol. 29, No. 6, (2020), pp. 2875–2881 [Google Scholar]
- Ramdas Vankdothu, Dr.Mohd Abdul Hameed, Husnah Fatima “Convolutional Neural Network-Based Brain Image Recognition Algorithm And High-Performance Computing”, Journal Of Critical Reviews,Vol 7, Issue 08, 2020(Scopus Indexed) [Google Scholar]
- Ramdas Vankdothu, Dr.Mohd Abdul Hameed “A Security Applicable with Deep Learning Algorithm for Big Data Analysis”,Test Engineering & Management Journal,January-February 2020 [Google Scholar]
- Ramdas Vankdothu, G. Shyama Chandra Prasad “ A Study on Privacy Applicable Deep Learning Schemes for Big Data” Complexity International Journal, Volume 23, Issue 2, July-August 2019 [Google Scholar]
- Ramdas Vankdothu, Dr.Mohd Abdul Hameed, Husnah Fatima “ Brain Image Recognition using Internet of Medical Things based Support Value based Adaptive Deep Neural Network” The International journal of analytical and experimental modal analysis, Volume XII, Issue IV, April/2020 [Google Scholar]
- Ramdas Vankdothu, Dr.Mohd Abdul Hameed, Husnah Fatima” Adaptive Features Selection and EDNN based Brain Image Recognition In Internet Of Medical Things “ Journal of Engineering Sciences, Vol 11,Issue 4, April/ 2020(UGC Care Journal) [Google Scholar]
- Ramdas Vankdothu, Dr.Mohd Abdul Hameed “ Implementation of a Privacy based Deep Learning Algorithm for Big Data Analytics”, Complexity International Journal, Volume 24, Issue 01, Jan 2020 [Google Scholar]
- Ramdas Vankdothu, G. Shyama Chandra Prasad” A Survey On Big Data Analytics: Challenges, Open Research Issues and Tools” International Journal For Innovative Engineering and Management Research,Vol 08 Issue08, Aug 2019 [Google Scholar]
- Christian Ledig, Rolf Heckemann, A, Alexander Hammers, Juan Carlos Lopez, Virginia Newcombe, FJ, Antonios Makropoulos, Jyrki Lotjonen, David Menon, K & Daniel Rueckert 2015, „Robust whole- brain segmentation: Application to traumatic brain injury‟, Medical Image Analysis, vol. 21, no. 1, pp. 40-58. [CrossRef] [Google Scholar]
- Daljit Singh & Kamaljeet Kaur 2012, „Classification of abnormalities in brain MRI images using GLCM, PCA and SVM‟, International Journal of Engineering and Advanced Technology, vol. 1, no. 6, pp. 243-248. [Google Scholar]
- Deepa, SN & Aruna Devi, B 2011, „Second order sequential minimal optimization for brain tumor classification‟, European Journal of Scientific Research, vol. 64, no. 3, pp. 377-386. [Google Scholar]
- Deepti Vadicherla & Sheetal Sonawane 2013, „Decision support system for heart disease based on sequential minimal optimization in support vector machine‟, International Journal of Engineering Sciences & Emerging Technologies, vol. 4, no. 2, pp. 19-26. [Google Scholar]
- Del Fresno, M, Venere, M & Clausse, A 2009, „A combined region growing and deformable model method for extraction of closed surfaces in 3D CT and MRI scans‟, Computerized Medical Imaging and Graphics, vol. 33, no. 5, pp. 369-376. [CrossRef] [Google Scholar]
- Deshmukh, GB & Lambhate, PD 2013, „MRI brain image segmentation and classification by modified FCM & SVM algorithm‟, International Journal of Research in Engineering and Technology, vol. 2, no. 12, pp. 666-669. [CrossRef] [Google Scholar]
- Devi Arockia Vanitha, C, Devaraj, D & Venkatesulu, M 2015. „Gene expression data classification using support vector machine and mutual information-based gene selection‟, Procedia Computer Science, vol. 47, pp. 13-21. [CrossRef] [Google Scholar]
- Dhilip Kumar, D & Vandhana, S 2015, „Brain tumor image segmentation using MATLAB‟, International Journal for Innovative Research in Science & Technology, vol. 1, no. 12, pp. 447-451. [Google Scholar]
- Ed-Edily Mohd Azhari, Muhd Mudzakkir Mohd Hatta, Zaw Zaw Htike & Shoon Lei Win 2014, „Brain tumor detection and localization in magnetic resonance imaging‟, International Journal of Information Technology Convergence and Services (IJITCS), vol. 4, no. 1, pp. 1-11. [CrossRef] [Google Scholar]
- Emary, E, Waleed Yamany, Aboul Ella Hassanien & Vaclav Snasel 2015, „Multiobjective gray-wolf optimization for attribute reduction‟, Procedia Computer Science (ICCMIT 2015), vol. 65, pp. 623-632. [CrossRef] [Google Scholar]
- Ewelina Piekar, Pawel Szwarc, Aleksander Sobotnicki & Michal Momot 2013, „Application of region growing method to brain tumor segmentation – preliminary results‟, Journal of Medical informatics and Technologies, vol. 22, pp. 153-160. [Google Scholar]
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