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24 results on '"Hazarika, Ruhul Amin"'

4. Implementation of Few Deep Learning Models to Detect Alzheimer’s Disease

Author

Hazarika, Ruhul Amin, Shyam, Kiran, Maji, Arnab Kumar, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Sarkar, Ram, editor, Pal, Sujata, editor, Basu, Subhadip, editor, Plewczynski, Dariusz, editor, and Bhattacharjee, Debotosh, editor

Published
2023
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5. A Novel Deep Neural Network Based Approach for Alzheimer’s Disease Classification Using Brain Magnetic Resonance Imaging (MRI)

Author

Hazarika, Ruhul Amin, Kandar, Debdatta, Maji, Arnab Kumar, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Abraham, Ajith, editor, Madureira, Ana Maria, editor, Kaklauskas, Arturas, editor, Gandhi, Niketa, editor, Bajaj, Anu, editor, Muda, Azah Kamilah, editor, Kriksciuniene, Dalia, editor, and Ferreira, João Carlos, editor

Published
2022
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8. A Hybrid Approach for Segmenting Grey and White Matter from Brain Magnetic Resonance Imaging (MRI)

Author

Hazarika, Ruhul Amin, Kharkongor, Khrawnam, Kumar Maji, Arnab, Kandar, Debdatta, Sanyal, Sugata, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Bhattacharjee, Debotosh, editor, Kole, Dipak Kumar, editor, Dey, Nilanjan, editor, Basu, Subhadip, editor, and Plewczynski, Dariusz, editor

Published
2021
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11. A Comparative Study on Different Skull Stripping Techniques from Brain Magnetic Resonance Imaging

Author

Hazarika, Ruhul Amin, Kharkongor, Khrawnam, Sanyal, Sugata, Maji, Arnab Kumar, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Khanna, Ashish, editor, Gupta, Deepak, editor, Bhattacharyya, Siddhartha, editor, Snasel, Vaclav, editor, Platos, Jan, editor, and Hassanien, Aboul Ella, editor

Published
2020
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12. Elliptic‐Curve Cryptography Implementation on RISC‐V Processors for Internet of Things Applications.

Author

Srivathsa, Preethi Preethino, Ulla, Mohammed Mujeer, Yadav, G. Praveen Kumar, Roy, Kumar Sekhar, Hazarika, Ruhul Amin, K., Kuldeep Saxena, and Khan, Muhammad Nasir

Subjects
DIGITAL signatures, ELLIPTIC curves, INTERNET of things, DATA transmission systems, CRYPTOGRAPHY
Abstract

Elliptic‐curve cryptography (ECC) is a popular technique of public‐key cryptography used for secure communications in Internet of Things (IoT) applications. In this study, the implementation and analyze the Elliptic Curve Digital Signature Algorithm (ECDSA) with NIST‐256 on MicroBlaze processors based on RISC‐V architecture. This implementation aims to enhance secure communication and data exchange between IoT devices and also provides a detailed account of our ECDSA implementation on a RISC‐V processor and evaluates its performance, achieving a reduction of 11.8% in execution time compared to existing techniques. The implementation takes 483 clock cycles and utilizes approximately 4096 bytes of memory. These results demonstrate that ECDSA can be efficiently implemented on RISC‐V processors, making it a promising option for secure communication in IoT applications. Furthermore, the study highlights specific security considerations critical to implementing ECC on RISC‐V processors, ensuring robust and reliable security in IoT environments. [ABSTRACT FROM AUTHOR]

Published
2024
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14. Image Segmentation by Fuzzy Edge Detection and Region Growing Technique

Author

Khwairakpam, Amitab, Hazarika, Ruhul Amin, Kandar, Debdatta, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martin, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Nath, Vijay, editor, and Mandal, Jyotsna Kumar, editor

Published
2019
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