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It is machine-readable information based and is built on XML technology. It is an extension to Web 2. In the semantic web, the information is well defined to enable better cooperation between the computers and the people. In the semantic web, the data is interlinked for better understanding. It is different from traditional data sharing technologies. MANET stands for mobile ad hoc network. It is an infrastructure-less network with mobile devices connected wirelessly and is self-configuring.
It can change locations independently and can link to other devices through a wireless connection. Instead, the nodes directly send packets to each other. It is also a relatively new concept in the field of computer science and is a technique of guiding computers to act in a certain way without programming.
It makes use of certain complex algorithms to receive an input and predict an output for the same. There are three types of learning;. Machine Learning is closely related to statistics. If you are good at statistics then you should opt this topic. Data Mining is the process of identifying and establishing a relationship between large datasets for finding a solution to a problem through analysis of data. There are various tools and techniques in Data Mining which gives enterprises and organizations the ability to predict futuristic trends.
Data Mining finds its application in various areas of research, statistics, genetics, and marketing. Following are the main techniques used in the process of Data Mining:. Artificial Intelligence is the intelligence shown by machines and it deals with the study and creation of intelligent systems that can think and act like human beings. In Artificial Intelligence , intelligent agents are studied that can perceive its environment and take actions according to its surrounding environment.
Strong AI — It is a type of artificial intelligence system with human thinking capabilities and can find a solution to an unfamiliar task. Weak AI — It is a type of artificial intelligence system specifically designed for a particular task. Turing Test is used to check whether a system is intelligent or not. Machine Learning is a part of Artificial Intelligence. Following are the types of agents in Artificial Intelligence systems:.
Natural Language Processing — It is a method to communicate with the intelligent systems using human language. It is required to make intelligent systems work according to your instructions. Natural Language Understanding involves creating useful representations from the natural language.
Image Processing is another field in Computer Science and a popular topic for a thesis in Computer Science. There are two types of image processing — Analog and Digital Image Processing. Digital Image Processing is the process of performing operations on digital images using computer-based algorithms to alter its features for enhancement or for other effects. Through Image Processing, essential information can be extracted from digital images.
It is an important area of research in computer science. The techniques involved in image processing include transformation, classification, pattern recognition, filtering, image restoration and various other processes and techniques. Following are the main purposes of image processing :. Bioinformatics is a field that uses various computational methods and software tools to analyze the biological data. In simple words, bioinformatics is the field that uses computer programming for biological studies.
It is the current topic of research in computer science and is also a good topic of choice for the thesis. This field is a combination of computer science, biology, statistics, and mathematics. It uses image and signal processing techniques to extract useful information from a large amount of data.
Following are the main applications of bioinformatics:. Quantum Computing is a computing technique in which computers known as quantum computers use the laws of quantum mechanics for processing information. Quantum Computers are different from digital electronic computers in the sense that these computers use quantum bits known as qubits for processing.
A lot of experiments are being conducted to build a powerful quantum computer. Once developed, these computers will be able to solve complex computational problems which cannot be solved by classical computers. Quantum is the current and the latest topic for research and thesis in computer science.
Quantum Computing finds its application in the following areas:. The list is incomplete as there are a number of topics to choose from. But these are the trending fields these days. Whether you have any presentation, thesis project or a seminar you can choose any topic from these and prepare a good report. Tags: Computer Science research topics and thesis , Computer Science thesis , computer science thesis example , Computer Science topics , How to get thesis help?
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