Rachna Navalakhe

ORCID: 0000-0003-2727-1815
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Fuzzy and Soft Set Theory
  • Chaos-based Image/Signal Encryption
  • Advanced Algebra and Logic
  • Information Retrieval and Search Behavior
  • Fixed Point Theorems Analysis
  • Cryptography and Data Security
  • Multi-Criteria Decision Making
  • Recommender Systems and Techniques
  • Cryptographic Implementations and Security
  • Computability, Logic, AI Algorithms
  • Cellular Automata and Applications
  • Constraint Satisfaction and Optimization
  • Fuzzy Logic and Control Systems
  • Spam and Phishing Detection
  • Data Management and Algorithms

Today in this modern and digital world, people need privacy security during communication of their secret information. Cryptographic techniques provide methods for secure communication. In paper, we have proposed a message sharing algorithm using f inite state machine recurrence relation to enhance the level messages which is being sent between sender receiver. The new cryptographic encryption decryption has been implemented Moore type finite automaton two matrices namely Fibonacci numbers...

10.52280/pujm.2023.550301 article EN Punjab University Journal of Mathematics 2023-03-25

The purpose of this paper is to introduce the notion fuzzy bicontinuous maps and biclosed (fuzzy biopen) in biclosure spaces study some their properties.

10.18052/www.scipress.com/ijpms.17.1 article EN cc-by International Journal of Pure Mathematical Sciences 2016-10-01

The purpose of this paper is to define and study a new class Nano fuzzy open sets called b-open in topological spaces. We have tried analyze the basic properties sets. also used these introduce type continuous functions, which are functions their investigated.

10.22457/apam.v25n1a06864 article EN Annals of Pure and Applied Mathematics 2022-01-01

The purpose of this paper is to introduce new notion regular fuzzy biclosure space called generalized and investigate some their characterizations. Kathmandu University Journal Science, Engineering Technology Vol. 8, No. II, December, 2012, 43-47 DOI: http://dx.doi.org/10.3126/kuset.v8i2.7324

10.3126/kuset.v8i2.7324 article EN Kathmandu University Journal of Science Engineering and Technology 2013-01-03

The unstructured data processing and finding accurate information from IR models is a complex task.The classical techniques use different concepts for improving such as categorization, classification many more.This paper reviews document retrieval first then an extension on previously introduced version provided.Similar to the traditional model, this technique pre-process extract features.After that retrieved features are organized in tuple.These tuples further used with fuzzy c means...

10.5120/ijca2022921970 article EN International Journal of Computer Applications 2022-03-26
Coming Soon ...