Computer Science Essay Examples Page 4
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Essay Examples
Essay topics
Cloud Computing and Its Vitality
Cloud Computing
Computer Science
Information Technology
Introduction The assignment deals with cloud computing and whether organizations can use it securely. Cloud computing is an Internet computing method in which a host of devices, including on-demand computers, receive information and resources. This is primarily done through corporations to store and publish info. They purchase capacity for data and details from different networks…
Improving of Security in Cyber Space
Computer Science
Cyber Crime
Cyber Security
Security in cyberspace relates to the risk of the likelihood of reputational or financial loss that can be measured from zero to medium to high. There are three factors that lead into security risk in cyberspace, they are: What is the threat? How vulnerable is the system? What is the financial damage that can be…
Professionalism in Computing
Computer Science
Professionalism
What is Professionalism in Computing? Professionalism has not for everyone exactly the same meaning. According to the dictionary Lexicon “Definition of professionalism in English: 1. The competence or skill expected of a professional. 2. The practising of an activity, especially a sport, by professional rather than amateur players.” This definition very general and do not…
A New System Dense Object Nets
Computer Science
Computers
Research
Technology
A new system referred to as Dense Object Nets (DON) has been created by researchers from MIT. The goal of the system is for a robot to be able to inspect different items and be able to differentiate between them to complete various tasks. Prior to this development, robots have been able to pick up…
Hyperspectral Image Classification Using Capsule Networks
Classification
Computer Science
Mathematics
Technology
Various classification methods and algorithms have been adopted by the remote sensing community. Some of the methods use techniques like support vector machines (SVMs), k-means clustering, Gaussian process (GP), random forest (RF), extreme learning machines (ELM) and deep neural network classifiers. However, the accuracies of these models are not up to the mark. The challenges…
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