Wireless Communication for Robotic Process Automation Using Machine Learning Technique
- Title
- Wireless Communication for Robotic Process Automation Using Machine Learning Technique
- Creator
- Murugamani C.; Sahoo S.K.; Kshirsagar P.R.; Prathap B.R.; Islam S.; Noorulhasan Naveed Q.; Hussain M.R.; Hung B.T.; Teressa D.M.
- Description
- Machine intelligence is what has been generated by programming computers with certain aspects of human intellect, like training, solving problems, and priority setting. A machine can solve a number of complicated issues using these capabilities. In major industries, such as customer support and manufacturing, machine intelligence is now being employed. The growth and quick development of digital technology and artificial intelligence (AI) technologies are becoming more and more difficult. At now, sophisticated manufacturing, the world of invention, and broad acceptance are undergoing a fast transition. Robotics is much more vital as it may now be related to the human brain by the connection between machine and brain, as AI develops. The world's economy faces substantial difficulties by increasing productivity in the manufacturing industry. This study examines the present progress of robotic communication styles of artificial intelligence (AI). In many specific applications, communication between members of a robotic group or even people becomes vital. The paper solves the problem of implementation of an independent industry mobile robot in all fields in the major business, live interactive, planning, mobile robot technologies, and intending. In order to identify the best solution to this issue, a mixed integer robotic model has been developed. 2022 C. Murugamani et al.
- Source
- Wireless Communications and Mobile Computing, Vol-2022
- Date
- 2022-01-01
- Publisher
- Hindawi Limited
- Coverage
- Murugamani C., HOD-IT, Bhoj Reddy Engineering College For Women, Hyderabad, India; Sahoo S.K., Department Of Electronics And Instrumentation Engineering, Cvr College Of Engineering, Hyderabad, India; Kshirsagar P.R., Department Of Artificial Intelligence, G.H. Raisoni College Of Engineering, Nagpur, India; Prathap B.R., Department Of Computer Science And Engineering, Christ University, Bangalore, India; Islam S., Civil Engineering Department, College Of Engineering, King Khalid University, Asir, Abha, 61411, Saudi Arabia; Noorulhasan Naveed Q., College Of Computer Science, King Khalid University, Abha, 61413, Saudi Arabia; Hussain M.R., College Of Computer Science, King Khalid University, Abha, 61413, Saudi Arabia; Hung B.T., Data Analytics And Artificial Intelligence Laboratory-DAAI Lab, Director Of Artificial Intelligence And Information System Programme, Institute Of Engineering-Technology, Thu Dau Mot University, 6 Tran Van On Street, Phu Hoa District, Binh Duong Province Thu Dau Mot City, Viet Nam; Teressa D.M., Department Of Chemical Engineering, College Of Biological And Chemical Engineering, Addis Ababa Science And Technology University, Addis Ababa, Ethiopia
- Rights
- All Open Access; Gold Open Access
- Relation
- ISSN: 15308669
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Murugamani C.; Sahoo S.K.; Kshirsagar P.R.; Prathap B.R.; Islam S.; Noorulhasan Naveed Q.; Hussain M.R.; Hung B.T.; Teressa D.M., “Wireless Communication for Robotic Process Automation Using Machine Learning Technique,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/15415.