Hasan Imran's repositories
Predicting-Consumer-Purchase-intention-using-Twitter-Data
Predicting Consumer Purchase intention using Twitter Data
Project-Distributed-File-System
Final Project for my distributed systems course
Cinema-Ticket-Reservation-System
This is my term project for my course Object Oriented Programming. I had made a cinema ticket reservation system using JAVA.
Compiler_Design_Project
The is the term project for my Compiler Design class.
Telephone_Directory-JAVA
Data Structure --> Doubly Linked list
TSP-using-Evolutionary-Algorithm
Implement Genetic Algorithm in Python to solve Traveling Salesman Problem
Client-Server-architecture-application
This is my project for my System Programming course. We were given the task to implement a client server type model where the client gives the commands and the server executes the commands and sends an acknowledgement to the client.
Data-Mining-Project
Predicting popular news articles
DPLL-ALGORITHM
SAT solver for propositional logic following the DPLL architecture. Implemented a trail, boolean constraint propagation, decisions and backtracking.
FYP-I
All FYP-I related material
NLP-Project-Sentiment-Analysis
The data has been taken from Kaggle. This is the link for the data: https://www.kaggle.com/snap/amazon-fine-food-reviews/data
Review-MMLA-in-non-classical-learning-environments
Multimodal Learning Analytics is part of Learning Analytics in the field of Educational Data Mining and Academic Analytics. MMLA gained pop-ularity when researchers wanted to study the physical environment with the dig-ital environment. This opened many new possibilities to research as now one could consider various environments such as the classroom, the student’s own room, and even virtual environments. Collecting data in such environments was a new challenge and required an array of sensors. Having just one sensor to cap-ture all this versatile data would seem like the ideal solution. On top of that, if we were to consider collaborative devices, we would need sensors capable of col-lecting multiple types of data from multiple users simultaneously. In this paper, an analysis of using the Microsoft Kinect sensor as a replacement sensor for video, audio, motions, gestures, and emotions is considered. Further, we also consider the possibility of using the Kinect sensor with collaborative devices to gather data. One such device that we have considered is the multitouch table. Some ideas and benefits to using the Kinect with the multitouch table are also discussed. Finally, a brief overview of using the Kinect in virtual environments is also discussed and the possibility of having collaboration in virtual environ-ments is also explored.