Rao, A, Krishna, Brahmadesam, Saravanan, D, David, D, Devi, O, Asokan, Anju, David, D. (1400). Supervision calamity of public opinion actions based on field programmable gate array and machine learning. هنرهای کاربردی, 12(2), 1187-1198. doi: 10.22075/ijnaa.2021.5195
A Srinivasa Rao; Brahmadesam Viswanathan Krishna; D Saravanan; D Beulah David; O Rama Devi; Anju Asokan; D Stalin David. "Supervision calamity of public opinion actions based on field programmable gate array and machine learning". هنرهای کاربردی, 12, 2, 1400, 1187-1198. doi: 10.22075/ijnaa.2021.5195
Rao, A, Krishna, Brahmadesam, Saravanan, D, David, D, Devi, O, Asokan, Anju, David, D. (1400). 'Supervision calamity of public opinion actions based on field programmable gate array and machine learning', هنرهای کاربردی, 12(2), pp. 1187-1198. doi: 10.22075/ijnaa.2021.5195
Rao, A, Krishna, Brahmadesam, Saravanan, D, David, D, Devi, O, Asokan, Anju, David, D. Supervision calamity of public opinion actions based on field programmable gate array and machine learning. هنرهای کاربردی, 1400; 12(2): 1187-1198. doi: 10.22075/ijnaa.2021.5195

Supervision calamity of public opinion actions based on field programmable gate array and machine learning

International Journal of Nonlinear Analysis and Applications
دوره 12، شماره 2، بهمن 2021، صفحه 1187-1198    اصل مقاله (497.76 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/ijnaa.2021.5195
نویسندگان
A Srinivasa Rao1؛ Brahmadesam Viswanathan Krishna2؛ D Saravanan* 3؛ D Beulah David4؛ O Rama Devi5؛ Anju Asokan6؛ D Stalin David3
1Department of CSE, Dhanekula Institute of Engineering & Technology, Vijayawada, India.
2Department of CSE, Rajalakshmi Engineering College, Chennai, India.
3Department of CSE, IFET Colleg of Engineering, Villupuram, India.
4Department of CSE, Jeppiaar Engineering College, Chennai, India.
5Department of CSE, Lakireddy Bali Reddy College of Engineering, Mylavaram, India.
6Department of ECE, Sri Krishna College of Technology, Coimbatore, India.
چکیده
The community's rise, public opinion network's popularity, and emergency personnel's advancement have changed drastically. Individuals can now go online from any place and through communications systems to share their opinions and attitudes more efficiently and more often. As illustrated by the preceeding network approach, public sentiment on neural networks and IoT is critical for the public sector, the public interest, and a special event in an emergency (IoT). In terms of data security and anonymity, the proposed program is not safe and has environmental problems. Network public opinion's approach is based on FPGAs and machine education. FPGAs (Field Programmable Gate Array) Instant perspectives, possible future themes, knowledge exchange, excellent content and Team variance are used to build machine learning. In this popular sentiment network, several disasters have seriously threatened the security of our community. Public views on disaster networks in all type of internet media, such as internet news, blogs and webpages, are inextricably connected with society. This plays into unprecedented stress the ability of the government to deal with crises and their consequences.
کلیدواژه‌ها
Emergency Management؛ Network Public Opinion Events؛ FPGA and Machine Learning
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