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G. Ramakrishna

4 papers hereh-index 322 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI3
  • cs.NE1
same name
  • G. Ramakrishna — 4 papers, h 4
  • G. Ramakrishna — 2 papers, h 36
  • G. Ramakrishna — 1 paper
  • G. Ramakrishna — 1 paper, h 0
  • G. Ramakrishna — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedSpeech Signal Filters based on Soft Computing Techniques: A Comparison

5 citations · 12 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2014★ 1 cited

Representation of a Sentence using a Polar Fuzzy Neutrosophic Semantic Net

Sachin Lakra, T. V. Prasad, G. Ramakrishna

A semantic net can be used to represent a sentence. A sentence in a language contains semantics which are polar in nature, that is, semantics which are positive, neutral and negati…

cs.NE2012★ 4 cited

The Future of Neural Networks

Sachin Lakra, T. V. Prasad, G. Ramakrishna

The paper describes some recent developments in neural networks and discusses the applicability of neural networks in the development of a machine that mimics the human brain. The…

cs.AI2012★ 2 cited

Applicability of Crisp and Fuzzy Logic in Intelligent Response Generation

T. V. Prasad, Sachin Lakra, G. Ramakrishna

This paper discusses the merits and demerits of crisp logic and fuzzy logic with respect to their applicability in intelligent response generation by a human being and by a robot.…

cs.AI2012★ 5 cited

Speech Signal Filters based on Soft Computing Techniques: A Comparison

Sachin Lakra, T. V. Prasad, G. Ramakrishna

The paper presents a comparison of various soft computing techniques used for filtering and enhancing speech signals. The three major techniques that fall under soft computing are…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.