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assignment-3---cse256

Assignment 3

assignment-4

assignment-5-cse-256

battery-usage-and-sleep-pattern-detection

Through this project, our main motive is to design an intelligent method through which the device (a mobile in this case) can predict on its own the user sleep pattern. When would the user sleep or just stop using his phone and hence from these idle hours, one could predict the most suitable time for charging the device. So the main concern of this project was first to get hold of data acquired, from different users, that would help us figure out the exact time slabs in which the users did not use their phone.

comparison-between-image-encryption-algorithms-for-wireless-sensor

Comparison between image encryption algorithms: SIT and Secure Force Algorithms

cse-256-assignment1

Assignment-1

cse-258

enformer

escape-breakout-game

food-ordering-system

Food Ordering System is an application which will help restaurant to optimized and control over their restaurants.

frequency-response-characterization-of-cnns

high-dimensional-visualization-techniques-and-analysis

Analysis involved various methods to explore and organize the data, including clustering, force-directed layouts, and a timeline for navigating through time-series data. To further analyse temporal attributes, the timeline was distorted through a force directed layout to spatially position time points according to their similarity. Sammon mapping, a variant of MDS, was used as a visualization approach for gene expression data sets along with the heat map-based strategy has been presented for visualizing the U-matrix from self-organizing maps (SOM).

human-activity-recogntion

Human activity recognition, or HAR, is a challenging time series classification task. It involves predicting the movement of a person based on sensor data and traditionally involves deep domain expertise and methods from signal processing to correctly engineer features from the raw data in order to fit a machine learning model.

image-captioining

The objective is to process by generating textual description from an image – based on the objects and actions in the image. Using generative models so that it creates novel sentences. Pipeline type models uses two separate learning process, one for language modelling and other for image recognition. It first identifies objects in image and provides the result to the Inception-v3 model to convert into word embedding vector than into series of LSTM cells to get desired captions.

leetcode

Collection of LeetCode questions to ace the coding interview! - Created using [LeetHub](https://github.com/QasimWani/LeetHub).

nachos-system-calls

System Calls for Nach Operating System

phonebook

Implement a phonebook using trie trees as a data structure in C language.

sample-maven-project

sample-maven-project-main

test-repo

travelling-salesmann-problem-using-genetic-algorithm-for-parallel-and-distributed-computing

Traveling Salesman Problem is NP-Hard, a lot of methods and solutions are proposed to the problem. One of them is Genetic Algorithm (GA).

university_management_system

UNIVERSITY MANAGEMENT SYSTEM