we wear(TikTok),where we eat(Google Maps),music we listen to(Spotify),even who we date or marry(Tinder).This universe of algorithm-driven decisions has society-wide implications: "It extends to influence our physical spaces,our cities,and the routes we move through…flattening them in turn....
Air pollution is a risk factor for many diseases that can lead to death. Therefore, it is important to develop forecasting mechanisms that can be used by t
Using ROAR and KAR to compare saliency maps, the authors proved that Fast-CAM achieves accuracy greater than or equal to that of Grad CAM. Fast-CAM with Grad CAM++. This version of Fast-CAM16 uses Grad CAM++ to obtain a CAM map that is then used in the computation of a saliency map...
there is a stark difference between the bottom-up features emphasized in neuromorphic hardware and the top-down algorithms used in AI (Fig.1). This disconnect indicates that perhaps
Web-mapping tools such as Google Maps use the Shortest Path algorithm, or a close variant, to provide driving directions. Finding the degrees of separation between people in social networks. For example, when you view someone’s profile on LinkedIn, it will indicate how many people separate ...
Additional information Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Supplementary Information Below is the link to the electronic supplementary material. Supplementary material 1 (R 4 KB) Supplementary material 2 (R ...
Tile class that represents tiles used in e.g. Openstreetmap and Google Maps. Useful for converting between coordinates, zoom levels and tile coordinates at different zoom levels. Lots of extension functions to calculate parent tiles, quad keys in string or long format, etc. ...
We calculated the receiver operating characteristic (ROC) curve and used the area under the curve (AUC) for the quantitative evaluation of the landslide susceptibility maps using the testing dataset. Better performance in both the training and testing phases was provided by the RNN algorithm (AUC=...
To solve the optimization problem, we resort to nature-inspired swarm-based algorithms, which are increasingly used to solve complex and high-dimensional optimization problems. They generally employ an evolutionary-like or swarm-based strategy to search for an optimum by first randomly generating a se...
The present study examines the role of feature selection methods in optimizing machine learning algorithms for predicting heart disease. The Cleveland Heart disease dataset with sixteen feature selection techniques in three categories of filter, wrapper, and evolutionary were used. Then seven algorithms Ba...