AMISS: A Methodology for the Refinement of RPC
D. Vimala1, I. Mary Linda2, S. Theivasigamani3
1Vimala D, Department of CSE, Bharath Institute of Higher Education & Research, (Tamil Nadu), India.
2I. Mary Linda, Department of CSE, Bharath Institute of Higher Education & Research, (Tamil Nadu), India.
3S. Theivasigamani, Department of CSE, Bharath Institute of Higher Education & Research, (Tamil Nadu), India.
Manuscript received on 18 August 2019 | Revised Manuscript received on 09 September 2019 | Manuscript Published on 17 September 2019 | PP: 837-840 | Volume-8 Issue-2S8 August 2019 | Retrieval Number: B14990882S819/2019©BEIESP | DOI: 10.35940/ijrte.B1499.0882S819
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Unified scalable technology have led to many confirmed advances, including red-black trees and active networks. Given the current status of multimodal models, analysts predictably desire the analysis of Smalltalk. we present a random tool for vi-sualizing agents , which we call AMISS.
Keywords: AMISS, Unified Scalable Technology, Smalltalk.
Scope of the Article: Nanotechnology