
Nitin ChoubeyNarsee Monjee Institute of Management Studies · Mukesh Patel School of Technology Management & Engineering
Nitin Choubey
BE(CSE),ME(CSE),Ph.D(CSE),MBA(Finance),Ph.D.(Mngt)
About
31
Publications
0
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
208
Citations
Introduction
Nitin Choubey currently works at the Mukesh Patel School of Technology Management & Engineering, Narsee Monjee Institute of Management Studies. Nitin does research in Artificial Intelligence. Their current project is 'image enhancement using ABC algorithm'.
Education
January 2009 - December 2012
July 1999 - June 2002
January 1999 - March 2004
Publications
Publications (31)
Artificial Intelligence (AI) is always in various domain of science, literature, animation, medical filed and other real world
applications. AI makes the system to store large amount of data in a systematic manner and translate the information into
functional tools as per the requirement of application. AI is in use for specific applications such a...
When medical images are processed by morphological operations, they provide substantial amount of utilizable information. The technological advancement in the field of image analysis and medical imaging domain acquiesces the understating of detection and diagnosis of disease to enhance the quality of medical treatment. Application of image processi...
Brisk advances in VLSI development has extended the chip thickness through reliably growing the wide grouping of parts on an unmarried chip, and furthermore decreasing the chip full length. In this kind of bewildered condition, the primary target is to restrain the power put off consequence of the system. it may be finished by technique for cutting...
Fall detection has been an important area of research due its close association with elderly healthcare. There is a need to build a reliable quick response system to minimise the damaging after effect of fall. Researchers have developed and tested several methods incorporating artificial intelligence for fall detection. Application of these methods...
Genetic algorithms are meta-heuristic algorithms based on the biological evolution. These algorithms are found to be useful for finding near to optimum results for the NP-category of problems. GA suffers with the disadvantage of premature convergence. The paper focuses on the implementation of various techniques of handling premature convergence an...
In this paper, the Moving Target Travelling Salesman Problem (MTTSP) is described. In MTTSP, several sites are required to be visited which are moving with constant velocity in different directions. The distance of the sites from origin, velocity and the angle of movement are known in advance. The goal is to find the fastest tour starting and endin...
This paper has presented the best practices of Library & information resources centre. We are living in an era of Information Explosion. Present scenario of Libraries, Users and staffs are modifying themselves to adopt the same. As per five laws of Library and information Science and utilization of freely available resources at Internet, we took a...
This paper has presented the Google Fusion Table as innovative tools for providing the value added services and re-engineering the library services to end users. In the revolutionaries era of Information and Communication Technology, GFT will be become an innovative tool for library professionals. Applications of GFT in MPSTEM Library for providing...
Paper describes the approach of solving Maze problem with Genetic Algorithm. It also includes method for developing a rectangular maze structure, A-Mazer. The method is implemented and found to be effective for the maze structures with different complexity levels of the 20 20 size.
Travelling Salesperson Problem is finding a Hamiltonian cycle with minimum weight. The paper presents solution travelling salesperson problem with Genetic Algorithm. Dynamic allocation of reproduction operators and social disaster technique are used for generating the population and based on the convergence analysis of evaluation process. The metho...
Grammar induction (also known as grammar inference or language learning) is the process of learning grammar from training data. This paper presents hybrid genetic algorithm (GA) Tool for handling premature convergence for the case of grammar induction. The tool is developed in Java and the results are tested for the set of 20 languages. It is an ef...
Grammar Induction (or Grammar Inference or Language Learning) is the process of learning of a grammar from training data of
the positive and negative strings of the language. Genetic algorithms are amongst the techniques which provide successful
result for the grammar induction. The paper is an extended approach to the earlier work by the authors r...
Traveling Tournament Problem is a sports timetabling problem that abstracts the important issues in creating timetables where team travel is an important issue. The instances of this problem seem to be very difficult to solve even for very small cases. In this paper, Author has suggested a Novel encoding scheme for representing a solution instance....
Grammar Induction (or Grammar Inference or Language Learning) is the process of learning of a grammar from training data of the positive and negative strings of the language. Genetic algorithms are amongst the techniques which provide successful result for the grammar induction. This paper presents a stochastic Mutation Operator based on an Adapted...
This paper investigates the induction of Context free Grammar with genetic algorithm. The genetic algorithm is not very effective at this [1]. To overcome this problem we investigate combined effect of two methods for structuring the chromosomes. The first is to bias the distribution of Non-terminals in the chromosome at the time of chromosome gene...
Grammar Induction (or Grammar Inference or Language Learning) is the process of learning of a grammar from training data of the positive and negative strings of the language. Genetic algorithms are amongst the techniques which provide successful result for the grammar induction. The paper describes a Pushdown Automata (PDA) simulator used to parse...
Today is the world of computers. There is no such field, which is not influence by computer. Everything in our daily life is being computerized. In early days of computers, the emphasis was upon scientific data processing, but once it was appreciated that the computer was not only a computational tool but also had the ability to store large amount...
Conclusion Since the input parameters and conditions/situations are defined by students to see the quantitative effects displayed on
the screen, this C programme becomes an interesting and interactive teaching aid. The two simulation modules can be used to
determine e/m using the principle proposed in Thomson’s method.