Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Engineering
Remote Crop Disease Detection Using Deep Learning With Iot, Ivy Chung, Anoushka Gupta
Remote Crop Disease Detection Using Deep Learning With Iot, Ivy Chung, Anoushka Gupta
Electrical and Computer Engineering Senior Theses
Agriculture is such a vital part of our society, and according to the United Nations’ Food and Agricultural Organization (FAO), plant diseases are considered one of the two main causes of decreasing food availability. This paper explores not only the methods and findings of building a CNN-based disease detection model, but that of building a deployable remote crop disease detection system incorporating IoT technology. By using transfer learning with AlexNet, we were able to predict with 89.8% accuracy tomato plant images into one of the ten pre-defined disease classes. Our proposed system tracks plant health throughout the day by using …
Deep Learning Methods For Efficient Image Coding, Zachary Daniel Bellay
Deep Learning Methods For Efficient Image Coding, Zachary Daniel Bellay
Computer Science and Engineering Master's Theses
Video data makes up 58% of all internet traffic and is growing as self-driving car cameras, 4K televisions, and video surveillance systems continue to come online. Traditional heuristics based image and video codecs such as JPEG and HEVC have been successful thus far, however, these approaches lack the ability to leverage big data to gain massive insights. Six deep learning based approaches are proposed to tackle efficient image/video compression and image compression for machine classification.
Machine Learning Models For Context-Aware Recommender Systems, Yogesh Jhamb
Machine Learning Models For Context-Aware Recommender Systems, Yogesh Jhamb
Engineering Ph.D. Theses
The mass adoption of the internet has resulted in the exponential growth of products and services on the world wide web. An individual consumer, faced with this data deluge, is expected to make reasonable choices saving time and money. Organizations are facing increased competition, and they are looking for innovative ways to increase revenue and customer loyalty. A business wants to target the right product or service to an individual consumer, and this drives personalized recommendation. Recommender systems, designed to provide personalized recommendations, initially focused only on the user-item interaction. However, these systems evolved to provide a context-aware recommendations. Context-aware …