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Authors: Martin Steiger, Juergen Bernard, Sebastian Mittelstaedt, Hendrik Luecke-Tieke, Daniel Keim, Thorsten May, Joern Kohlhammer

EuroVis 2014: Visual Analysis of Time-Series Similarities for Anomaly Detection in Sensor Networks

⏲ 16 min 80 sec ✓ 25-Jun-2014

Watch our informative video on Recognizing Urinary Tract Infections (UTIs) in Children. Join us as we explore the common symptoms parents should be aware of, including frequent urination, pain or burning during urination, fever, abdominal discomfort, and changes in urine color or odor. Learn why early detection is crucial and how to promptly seek medical attention if you suspect your child has a UTI. Stay informed and take proactive steps to safeguard your child's health. Watch now!

The Symptoms of Urinary Tract Infections in Children: Recognizing Signs & Seeking Care

⏲ 1:58 ✓ 27-Apr-2024

The Kindeman Remedy is a time management medical simulation game developed by Troglobytes Games. Players will encounter bizarre characters, concoct elixirs, and torture inmates while avoiding detection. Administer questionable concoctions to ailing inmates as Dr. Kindeman and Sister Anna to restore his legacy to its former glory.

The Kindeman Remedy Official Consoles Launch Trailer

⏲ 1:20 ✓ 25-Apr-2024

Authors: Hong Wang, Yafeng Lu, Shade Shutters, Michael Steptoe, Feng Wang, Steven Landis, Ross MaciejewskinnAbstract: Economic globalization is increasing connectedness among regions of the world, creating complex interdependencies within various supply chains. Recent studies have indicated that changes and disruptions within such networks can serve as indicators for increased risks of violence and armed conflicts. This is especially true of countries that may not be able to compete for scarce c

[VIS18 Preview] A Visual Analytics Framework for Spatiotemporal Trade Network Analysis (VAST Paper)

⏲ 30 sec ✓ 14-Sep-2018

In this talk we will present the challenges we faced @ EQS Digital while building our data monitoring system to handle large-scale time series datasets of over 100GB. We will explain how we structured our data, stored, and indexed it in our databases to provide fast visualization and processing tools to the user, while also being able to process it using our neural network-based systems for forecasting and automated anomaly detection.

Neural-network monitoring and processing of large-scale time-series | matosinhos.tech ▸ event 2.0

⏲ 12 min 2 sec ✓ 03-May-2021

See how using Striim can make the most of your investment in Apache Kafka.nBlog Series: http://www.striim.com/blog/2017/08/making-the-most-apache-kafka-make-kafka-easy/nLinkedIn Article: https://www.linkedin.com/pulse/make-most-kafka-real-world-steve-wilkesnnIf you're using, or plan to use, Apache Kafka as a way to distribute streaming data around your enterprise, Striim can help in the following ways:nn1) Continuously collecting data from enterprise and cloud sources (including databases throug

Making The Most of Apache Kafka With Striim

⏲ 1 min 42 sec ✓ 27-Apr-2018

At the 2019 edition of the Biomanufacturing World Summit series last November in San Diego we spoke with Randy Erwin of Cloudleaf about how biopharmaceutical manfuacturers are embracing Industry 4.0 solutions to their unique challenges.nnRandy ErwinnVP SalesnCloudleafnnCloudleaf’s mission is to create significant value across the end-to-end supply chain network by dramatically increasing visibility of product flow and condition. Customers increase revenues, reduce operational material losses,

Digital Transformation in the Biopharmaceutical Industry - A Conversation with Randy Erwin of Cloudleaf

⏲ 4 min 11 sec ✓ 20-Dec-2019

Dramatically simplify creating alerts from industrial data such as PLC, SCADA and IIoT sensors using Time Series AI

Automated Anomaly Detection for Industrial AI

⏲ 1 min 35 sec ✓ 05-Feb-2024

Keynote Title: Time Series Machine LearningnnKeynote Lecturer: Tony BagnallnPresented on: 13/11/2023, Rome, ItalynnAbstract: Time series data is ubiquitous in science and can be found in domains such as motion traces from smart devices, medical biosignals like ECG/EEG, and sensor data from vehicles. Time Series Machine Learning (TSML) encompasses several tasks, including anomaly detection, motif discovery, and segmentation. However, the focus of this presentation is on three classic machine lear

⏲ 25 min 95 sec ✓ 04-Dec-2023

Calling all Time Series enthusiasts! Borealis AI, MoovAI and ServiceNow present the Winter instalment of our Montreal Time Series Meetup.nnYou're invited to our first virtual meetup on February 24th from 6 pm - 8 pm EST. You'll hear from 3 leading scientists and industry practitioners working at the forefront of Time Series research and business applications. There will be plenty of Q&A time where you can pick our speaker's brains. And, to bring back the excitement of in-person meetups you'l

Montreal Time Series Meetup Winter 2022 - Research Talks

⏲ 56 min 8 sec ✓ 26-Feb-2022

Webinar to learn about Acceldata’s product developments in the areas of Data Reliability, Pipeline Observability, Cost Optimization and FinOps as well our latest innovations in the areas of AI, ML and LLM!nnJoin Preeti Kodikal, Director of Product Marketing, and Chris Cozzi and Ankur Mundra, Directors of Product Management to learn about the latest advancements in Acceldata Data Observability such as: nn-- Enhanced anomaly detection framework including ML-based data freshness, time-series and

What's New In Data Observability - March 6, 2024

⏲ 38 min 34 sec ✓ 12-Mar-2024

Let's explore in deep how to make Time Series Anomaly Detection, from IoT data and how Azure services can serve this way.nnRelatore: Marco Parenzan

Deep Dive Time Series Anomaly Detection with different Azure data services

⏲ 36 min 10 sec ✓ 14-Jun-2021

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