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Earthquakes in a month (now with code)

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Earthquake Start of a project to bring in information from a website with an Application Programming Interface (API). We are going to use a modified version of "Project: Fetching Current Weather Data" from "Automate the boring stuff with Python" by Al Sweigart Instead of weather data were are collecting a month's worth of earthquake data.  What is going on below? We import libraries to deal with json, request from the server and the pandas library. [1]: ​ import json , requests import pandas as pd from pandas import json_normalize In this section we creating a string made up of the URL. Requesting the information from the site with the URL we created and pass back the information. Data comes from the US Geological survey  https://www.usgs.gov/about/about-us/who-we-are  and one of their earthquake feeds. Requesting the information from the site with the URL we created and pass back the information. Then print out what was returned. [2]: ​ url = 'https:...
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Deep learning approach for real-time video streaming traffic classification

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  Title Deep learning approach for real-time video streaming traffic classification Authors Turner, S. , Al Jameel, M., Kanakis, T., Al-Sherbaz, A. and Bhaya, W. Conference 2022 International Conference on Computer Science and Software Engineering CSASE, Duhok, Kurdistan Region – Iraq Official URL https:// csase.uod.ac /#home Description Video streaming services such as Amazon Prime Video, Netflix and YouTube, continue to be of enormous demands in everyday peoples’ lives. This enticed research in new mechanisms to provide a clear image of network usage and ensure better Quality of Service (QoS) for these applications. This paper proposes an accurate video streaming traffic classification model based on deep learning (DL). We first collected a set of video traffic data from a real network. Video streaming services such as Amazon Prime Video, Netflix and YouTube, continue to be of enormous demands in everyday peoples’ lives. This enticed research in new mechanisms to provide a clear ...
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Exoskeleton using AI and Assistive Robotic Technology aims to help children with cerebral palsy

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  Researchers from Canterbury Christ Church University has presented the UK's first lower limb Exoskeleton aimed at helping children with neurological disorders at London Tech Week 2023. The academics were part of a three-year EU Interreg 2 Seas (European Regional Development Fund) project called  MOTION . It included researchers from across four countries with the aim to develop Assistive Robotic Technology in the form of a wearable, lower limb exoskeleton to help children with cerebral palsy and other neurological conditions stand and walk as part of their rehabilitation therapy. Professor Konstantinos Sirlantzis who leads the Artificial Intelligence and Assistive Robotics research team at the University, said: "We’re delighted to be able to have this opportunity to demonstrate the innovative design and AI-based personalised predictive control for the Exoskeleton, which was developed specifically with the consideration of the physicality and movement of children with cerebra...
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