Literary review 2
While writing the paper on Neural Networks and drones, I learned a lot about the writing process of a literature review paper. Many of the things that I learned can be applied to different literature review papers as well as general papers.
Data Collection
I found it very helpful to begin by collecting as many articles as I could on neural networks and drones. I did this by using the schools data bases and google scholar. To help aid me in finding as many different papers as possible I developed a list of key words to search for. The list of them for the vehicle part were, Drones, UAV, UAS, SUAS, unmanned systems, aircraft, helicopter, multi rotor. These helped narrow the search down to the type of application I wanted to see neural networks in. Neural networks also had a list of key words that allowed me to gain a few more articles, those keywords were, Neural network, Artificial intelligence, deep learning, machine learning. Those all corresponded to what type of research I wanted to learn about.
Analysis
Then I gathered as many different articles as I could that were able to support the information I was trying to put together, and printed them off. It was 15 articles with everything from how to count cows with a drone to landing the drones more precisely. I began reading through them trying to see how they would answer the question of "why would you use a neural network with a drone?" This allowed me to filter their articles into ones that could support my paper, and help further the discussion of neural networks being used in drones.
Structure
Taking the time to read every paper before creating they layout of the paper allowed for the ability to structure it very differently than I had anticipated. I had expected to write directly on using neural networks vs not using them, but that wasn't the main difference between the articles. I found that the main difference in between the articles was in the application of a neural network for safety or for efficiency. Because of this difference the paper became structured differently as its important to understand the goal of adding a neural network to a drone.
In conclusion, going into a deep dive into the information and researching the topic and all of its applications instead of just picking the first articles that match what I was planning to write about lead to a much more though paper, with a focus that was different from my original intention.
Data Collection
I found it very helpful to begin by collecting as many articles as I could on neural networks and drones. I did this by using the schools data bases and google scholar. To help aid me in finding as many different papers as possible I developed a list of key words to search for. The list of them for the vehicle part were, Drones, UAV, UAS, SUAS, unmanned systems, aircraft, helicopter, multi rotor. These helped narrow the search down to the type of application I wanted to see neural networks in. Neural networks also had a list of key words that allowed me to gain a few more articles, those keywords were, Neural network, Artificial intelligence, deep learning, machine learning. Those all corresponded to what type of research I wanted to learn about.
Analysis
Then I gathered as many different articles as I could that were able to support the information I was trying to put together, and printed them off. It was 15 articles with everything from how to count cows with a drone to landing the drones more precisely. I began reading through them trying to see how they would answer the question of "why would you use a neural network with a drone?" This allowed me to filter their articles into ones that could support my paper, and help further the discussion of neural networks being used in drones.
Structure
Taking the time to read every paper before creating they layout of the paper allowed for the ability to structure it very differently than I had anticipated. I had expected to write directly on using neural networks vs not using them, but that wasn't the main difference between the articles. I found that the main difference in between the articles was in the application of a neural network for safety or for efficiency. Because of this difference the paper became structured differently as its important to understand the goal of adding a neural network to a drone.
In conclusion, going into a deep dive into the information and researching the topic and all of its applications instead of just picking the first articles that match what I was planning to write about lead to a much more though paper, with a focus that was different from my original intention.
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