Office is smart enough to know that a copied image is the same and will link to a single saved picture in the document. That applies even if you make some changes to one of the images. For example, we’ve inserted the same image four times into this slide then rotated and resized ...
Note:Always start with a high-resolution image first. The higher the number of pixels in the original image, the better it will handle enlargement. This is because there’s more detail and data to work with when the image is stretched. In the following sections, we’ll show you how to ...
The analysis of such big data is a cumbersome process. Therefore, an advanced machine learning technique called DL (LeCun et al. 2015) is required to extract the value from these IoT data. DL techniques have been widely used in computer vision, especially in difficulties of visual classificatio...
Cities in Africa are growing faster than other regions but have limited data to guide urban planning and policies. Our aim was to use smart sensing and analytics to characterise the spatial patterns and temporal dynamics of features of the urban environment relevant for health, liveability, safety...
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To get the correct exposure on both the display in Classic and on the exported jpeg I need to dial in exposure comp of around +3.7. The export is identical to the display in Lightroom at that setting and looks normal. Perhaps the preview da...
Oftentimes, your customers will want to know how big your product is. Although most product descriptions will contain detailed measurements of the product, this isn’t always easily interpretable. This is where having something common in the picture can help. Any everyday item that everyone owns ...
However, due to the particular characteristics of PV panel semantic-segmentation, the machine learning tools need to be designed and applied with careful considerations of the issue formulation, data quality, and model explainability. This paper investigated the characteristics of PV panel semantic-...
Also, a lot of the land on the planet is infertile, such as desert. Another problem is that the resources on the planet are not evenly distributed. Some countries are richly resourced while others are lacking. ACTIVITY 1 CASE STUDY: NEEDS AND WANTS 1 ▶ How might ...
usually with the assistance of machine learning. Gong et al. (2020) integrated random forest (RF) with multisource geospatial big data and adapted the category from the Chinese Standard of Land Use Classification (GB/T 21010–2017) to recognize essential urban function zones in China. Jia et ...