THIS IS AN OLDER VERSION OF THE WEBSITE. For Pranjal's current list of research projects, visit http://pranjal.strikingly.com/#research-projects.
Research Projects
The aim is to investigate how the diabetes incidents are affected by patients’ characteristics and measurements. Efficient predictive modeling is required for medical researchers and practitioners. This study proposes Hybrid Prediction Model (HPM) which uses Simple K-means clustering algorithm aimed at validating chosen class label of given data (incorrectly classified instances are removed, i.e. pattern extracted from original data) and subsequently applying the classification algorithm to the result set. The diabetes data and machine learning repository datasets was obtained from the Christian Medical College (CMC), Vellore, India. In order to evaluate the performance of the proposed method, sensitivity and specificity performance measures that are used commonly in medical classification studies are being used.
The design is an intermediate network device that is placed between client computers and the network at large. Under normal usage, when its client is actively communicating across the network, the intermediate device allows traffic to flow through as required.
Published in the AISC Series of Springer and oral presentation at 3rd International Conference on Soft Computing for Problem Solving (SocProS ’13) to be held on 26th – 28th December, 2013
A copy of the submitted paper can be found here:
Published in the AISC Series of Springer and oral presentation at 3rd International Conference on Soft Computing for Problem Solving (SocProS ’13) to be held on 26th – 28th December, 2013
A copy of the submitted paper can be found here:
socpros2013_submission_232.pdf | |
File Size: | 129 kb |
File Type: |
This project involved designing a hybrid algorithm using Fuzzy Logic allowing user to incorporate information such as traffic levels, weather conditions and construction zones to find an optimal shortest distance between two points with the help of Djikstra’s Algorithm.
This research project attempts to build a human brain controllable embedded system utilizing the EEG technology. It used Arduino Mega for data exchange between the board and the Bluetooth Receiver. It also requires developing a software system in Arduino based embedded programming for demonstration.