In this paper, we present a fully automated computer vision application for littering quantification based on images taken from the streets and sidewalks. We have employed a deep learning based framework to localize and classify different types of wastes. Since there was no waste dataset available,...
The country started pmiting waste imports roughly since 2016 and completely banned 24 types of sopd waste in January 2018. It's easy to understand: You can't expect China to deal with the world's garbage forever. But to stop the imports is not enough for China to become sustainable. Now...
And now China is fed up. The country started limiting waste imports roughly since 2016 and completely banned 24 types of solid waste in January 2018. It's easy to understand: You can't expect China to deal with the world's garbage forever. But to stop the imports is not enough for Chi...
Therefore, by using deep learning, you can quickly identify manufacturing issues, enabling prompt repair of the manufacturing process and reducing waste. This example shows how to train a classification network that detects and classifies eight types of manufacturing defect patterns. The example also ...
Classify the following activity as value-added or non-value added: Catalogs. Activity Cost Pool: The pool that consists of total costs incurred by the business entity to complete a business task is known as the activity cost pool. Such pools are created to track the actual cost...
Classify the following activity as value-added or non-value added: Advertising - Newspaper. Manufacturing Process The manufacturing process can be defined as the process of transformation by which raw material is transformed into usable goods of economic value. The company incur...
In doing so, it marks a paradigm shift in the way sound environments are assessed, because it extends beyond a mere quantification of physical phenomena. By considering environmental sounds to be a “resource,” as opposed to “waste,” soundscape focuses on sound preferences rather than sound ...
The other important aspect of BERT is that it can be adapted to many types of NLP tasks very easily. In the paper, we demonstrate state-of-the-art results on sentence-level (e.g., SST-2), sentence-pair-level (e.g., MultiNLI), word-level (e.g., NER), and span-level (e.g....
There are different types of text classifiers, the one I will be addressing here is a machine learning one! Training To make the classifier understand where documents should go you must first train it. By training you manually set up two or more classes (e.g. spam and legitimate) and ...
The URL categories database includes many different factors and sources of data internal to Cisco and from the Internet. One of the factors occasionally considered, heavily modified from the original, is information from the Open Directory Project. To see what category a par...