Our computer science essays and dissertations cover popular topics including Artificial Intelligence (AI), Computer Engineering, Computer Networks, The Internet, Data Structure, Discrete Mathematics, File Sharing, Hacking and Security, Programming, Robotics and Software Engineering.
ABSTRACT: Machine learning (ML) is the ability of a system to learn new information rather than having that information preprogrammed into it. It refers to a system’s ability to acquire and integrate knowledge through extensive observation. It takes data as input, analyzes data, and then finds a pattern. After that, it makes a prediction and … Read more
1. INTRODUCTION Apache Groovy is built to work closely and seamlessly with the Java platform, it even shares a majority of syntax with Java to provide an easier learning curve. One of its more notable features includes its ability to do both dynamic and static type binding. In addition, it can be used to write … Read more
1. Abstract: In the previous couple of years, a few encryption methods dependent on different algorithms have been proposed intended to secure digital pictures against cryptographic attacks. Chaos-based image encryption algorithms are generally used more often than others but require high computational cost. Moreover, this system is defined on real numbers where as the cryptosystems … Read more
Keywords: Semantic Search Engine, SPARQL, Search Engine, DBpedia, Ontology, LUIS. Introduction The idea of a search engine and information retrieval from the search engine is not a new concept. The interesting thing about the traditional search engine is that different search engine will provide a different result for the same query. While the information was … Read more
Project Definition My thesis has two main objectives. First, I will use machine learning methods to identify the most important stock return predictors . I distinguish between two types of features. The first type reflects conventional predictors, such as, but not limited to, stock performance, valuation ratio and stock liquidity . A large number of … Read more
Driving can be a stressful event even for the best of drivers. This in itself is felt can be made worse in busy areas like cities and large towns. In Belfast for example, the sheer number of motorists that pass through the city on a daily basis can lead to many issues arising from the … Read more
Abstract—Social media is a key aspect for social networking and content sharing. An example is that people often share their thoughts about movies, social causes and many more using Twitter, Facebook, Orkut, etc. But then, the data that is created from these sites remains unexplored to an great extent. In this paper, we exhibit how … Read more
In hacking, a shellcode is a small piece of code used as the payload in the exploitation of a software vulnerability. It is called “shellcode” because it typically starts a shell from which the attacker can control the compromised machine, but any piece of code that performs a similar task can be called shellcode. Because … Read more
Pathfinding Algorithm tends to the issue of finding the most brief way from source to goal and keeping away from impediments. Probably the best challenge in the plan of reasonable Artificial Intelligence (AI) in PC games is operator development. Pathfinding procedures are typically utilized as the center of any AI development framework. In this work, … Read more
Stem cell research has been the biggest growth area of medical science in recent years. However, experiments are very limited as it is not possible to track stem cells in the adult human body. In this Complex world, we use models in designing and developing high functionality systems, which in turn contains numerous objects. Many … Read more
Abstract The analysis of data on computer systems with low memory has been a challenge over years. Performing even one of the simplest machine learning tasks on these systems is a tough job. And this has largely affected the data scientists while performing tasks on computer systems with limited or restricted computational resources. In order … Read more
Natural evolution strategies as a proxy to variational bayesian inference for deep policy networks, with applications to session-based recommendation. ABSTRACT This work aims to develop innovative preference learning methodologies and related policies for recommendation, suitable for data with uncertainty. This will be achieved by a new approach to the Variational Bayesian Inference for GRU networks, … Read more
1. Azure Web App Service Azure web app service provides a platform for hosting web applications. Many organizations or individuals choose this to host their web applications for its powerful functionalities, though they may have encountered some problems during the process of development, deployment and management of their application. 1.1 Strength and Weakness Unlike what … Read more
1. INTRODUCTION Digital image processing is a technology using a computer to process images through a certain algorithm. The system chosen in order to perform the required task plays a vital role in its application. This paper will elaborate on the use of MATLAB software in image enhancement to remove noise from a degraded image … Read more
CHAPTER 1 INTRODUCTION 1.1 OBJECTIVE OF PROJECT The main aim of the project is to design “Air-Writing Recognition”. The project is aimed at evaluating the performance of an operating system. Before delving into its implementation, an introduction is needed to the parts involved in the project. The whole report is centered around the use of … Read more
