©Technomathematics Research Foundation FEATURE EXTRACTION USING FUZZY RULE BASED SYSTEM (2009)
Narendra S. Chaudhari, Avishek Ghosh
Data projection is an important tool in exploratory data analysis. Sammon’s non linear projection method lacks predictability and is ineffective for large data sets. To introduce predictability we...
Project Title Data Mining using Soft Computing Techniques (2009)
*(please tick accordingly)
Narendra S. Chaudhari, Xue-ming Yuan
We briefly review forecasting features of typical data mining software, and we give the salient features of SIMForecaster, the existing forecasting system developed at
Jinmiao Chen, Narendra S. Chaudhari, Jinmiao Chen, Narendra S. Chaudhari
Abstract The formation of protein secondary structure especially the regions of β-sheets involves long-range interactions between amino acids. We propose a novel recurrent neural network...
Strategic Team AI Path Plans: Probabilistic Pathfinding (2008)
Edmond C. Prakash, Narendra S. Chaudhari
This paper proposes a novel method to generate strategic team AI pathfinding plans for computer games and simulations using probabilistic pathfinding. This method is inspired by genetic algorithms...
Hierarchical Pathfinding and AI-Based Learning Approach in Strategy Game Design (2008)
Le Minh Duc, Amandeep Singh Sidhu, Narendra S. Chaudhari
Strategy game and simulation application are an exciting area with many opportunities for study and research. Currently most of the existing games and simulations apply hard coded rules so the...
Strategic Team AI Path Plans: Probabilistic Pathfinding (2008)
Edmond C. Prakash, Narendra S. Chaudhari
This paper proposes a novel method to generate strategic team AI pathfinding plans for computer games and simulations using probabilistic pathfinding. This method is inspired by genetic algorithms...
Hierarchical Pathfinding and AI-Based Learning Approach in Strategy Game Design (2008)
Le Minh Duc, Amandeep Singh Sidhu, Narendra S. Chaudhari
Strategy game and simulation application are an exciting area with many opportunities for study and research. Currently most of the existing games and simulations apply hard coded rules so the...
Efficient Caching Proxy Server Parameters: An Integrated Approach (2006)
M.U. Kharat, Narendra S. Chaudhari
Caching web proxy server improves the performance of over all web access. Since all the parameters of efficient cache performance are time and locality dependent, no single policy of caching proxy...
Design of Output Codes for Fast Covering Learning using Basic Decomposition Techniques (2006)
Aruna Tiwari, Narendra S. Chaudhari
We propose the design of output codes for solving the classification problem in FastCovering Learning Algorithm (FCLA). For a complex multi-class problem normally the classifiers areconstructed by...
Efficient Caching Proxy Server Parameters: An Integrated Approach (2006)
M.U. Kharat, Narendra S. Chaudhari
Caching web proxy server improves the performance of over all web access. Since all the parameters of efficient cache performance are time and locality dependent, no single policy of caching proxy...
Parameter Selection Schemes for Web Proxy Servers and their Performance Evaluation (2005)
M.U. Kharat, Narendra S. Chaudhari
Tremendous increase in number of Internet users enforces the study of bandwidth optimization parameters. Analysis of Internet uses, in the specific educational locality, has shown importance of...
Neural-Network-Based Smart Sensor Framework Operating in a Harsh Environment (2005)
Jagdish C. Patra, Ee Luang Ang, Narendra S. Chaudhari, Amitabha Das
We present an artificial neural-network- (NN-) based smart interface framework for sensors operating in harsh environments. The NN-based sensor can automatically compensate for the nonlinear response...
Parameter Selection Schemes for Web Proxy Servers and their Performance Evaluation (2005)
M.U. Kharat, Narendra S. Chaudhari
Tremendous increase in number of Internet users enforces the study of bandwidth optimization parameters. Analysis of Internet uses, in the specific educational locality, has shown importance of...
Neural-Network-Based Smart Sensor Framework Operating in a Harsh Environment (2005)
Jagdish C. Patra, Ee Luang Ang, Narendra S. Chaudhari, Amitabha Das
We present an artificial neural-network- (NN-) based smart interface framework for sensors operating in harsh environments. The NN-based sensor can automatically compensate for the nonlinear response...
Capturing long-term dependencies for protein secondary structure prediction (2004)
Jinmiao Chen, Narendra S. Chaudhari
Abstract. Bidirectional recurrent neural network(BRNN) is a noncausal system that captures both upstream and downstream information for protein secondary structure prediction. Due to the problem of...
Protein Family Classification Using Second-Order Recurrent Neural Networks (2003)
Jinmiao Chen, Narendra S. Chaudhari
this paper, we formulate protein family classification as a formal language problem; subsequently we give an approach based on recurrent neural networks to classify protein sequences