Anomaly

Anomaly Warzone Earth HD 1.21 iPhone and iPod Touch Games

Posted by hazeeb at Jan. 25, 2012

Anomaly Warzone Earth HD 1.21 iPhone and iPod Touch | 103 MB

Winner of the prestigious Apple Design Award, Anomaly Warzone Earth HD comes to iOS and turns tower defense on its head. This time you take control of the attacking force, pitting your heavily armored squad against the destructive towers of an alien horde. Carefully lead your squad through the invaders' defenses, shattering their towers and turrets with special weapons and power-ups in this groundbreaking new experience of tower offense.

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Control Charts and Machine Learning for Anomaly Detection in Manufacturing eBooks & eLearning

Posted by AvaxGenius at Sept. 12, 2021

This book introduces the latest research on advanced control charts and new machine learning approaches to detect abnormalities in the smart manufacturing process. By approaching anomaly detection using both statistics and machine learning, the book promotes interdisciplinary cooperation between the research communities, to jointly develop new anomaly detection approaches that are more suitable for the 4.0 Industrial Revolution.

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Anomaly Defenders (2014) Games

Posted by -=Sn!pEr=- at June 20, 2014

Anomaly Defenders (2014)
Platform: PC | Developers: 11 bit studios | Publisher: 11 bit launchpad | 750 MB
Languages:English, French, Russian, German, Spanish, Polish
Genre: Action | Release Date: 29 May 2014

Anomaly Defenders is the closing installment of the Anomaly series. The original incarnation of the Tower Offense sub-genre had players controlling humans fighting alien invaders. Now, the tables have turned. The human counterattack is underway and the alien homeworld is under threat. Defend the planet from the human scum in the final battle of the series.

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Network Anomaly Detection: A Machine Learning Perspective (Repost) eBooks & eLearning

Posted by DZ123 at March 28, 2016

Dhruba Kumar Bhattacharyya, Jugal Kumar Kalita, "Network Anomaly Detection: A Machine Learning Perspective"
English | 2013 | ISBN: 1466582081 | PDF | pages: 364 | 3,6 mb

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Network Anomaly Detection: A Machine Learning Perspective eBooks & eLearning

Posted by insetes at April 30, 2022

Network Anomaly Detection: A Machine Learning Perspective By Dhruba Kumar Bhattacharyya, Jugal Kumar Kalita
2013 | 366 Pages | ISBN: 1466582081 | PDF | 4 MB

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Anomaly eBooks & eLearning

Posted by Balisik at Oct. 4, 2014

Science, politics, religion are global concerns. How do we deal with these on a personal level? How do governments deal with these matters? Anomaly is science fiction: a visitor from outside earth starts to mess around with the status-quo and people begin to react. Personally, I don't understand most of the science discussed in Anomaly and I'm fairly skeptical about alien invasions. However, from the first page to the last this well-paced, easy-to-read, conversational-style adventure held my attention.

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Anomaly Detection in Random Heterogeneous Media eBooks & eLearning

Posted by Underaglassmoon at July 24, 2015

by Martin Simon (Author)

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Anomaly Detection in Random Heterogeneous Media: Feynman-Kac Formulae, Stochastic Homogenization and Statistical Inversion (re) eBooks & eLearning

Posted by arundhati at Sept. 20, 2015

Martin Simon, "Anomaly Detection in Random Heterogeneous Media: Feynman-Kac Formulae, Stochastic Homogenization and Statistical Inversion"
2015 | ISBN-10: 3658109920 | 151 pages | PDF | 2 MB

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Anomaly v1.0.6 Android Games

Posted by hazeeb at Jan. 12, 2013

Anomaly v1.0.6 Android | 33Mb

ANOMALY the Interactive Graphic Novel. Combines animation and interactivity to create a multimedia experience of unparalleled proportions.

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V.A. - Anomaly Part 1 (2019) Music

Posted by gribovar at Feb. 26, 2019

V.A. - Anomaly Part 1 (2019)
WEB FLAC (tracks) - 267 MB | MP3 CBR 320 kbps (LAME 3.93) - 89 MB | Front cover
Genre: Deep House | RAR 3% Rec. | Label: Steyoyoke

‘Anomaly’ is this year’s full-length release by Steyoyoke, presenting familiar roster artists as well as industry newcomers. A close collaboration between some of the most talented producers on the label. Anomaly will be split in two parts with two separate releases. Part one features the label’s lighter, ethereal signature sound and Part two will showcase the darker, more traditional techno.
Kicking off Anomaly (Part 1) are Soul Button & Modeplex with their track, ‘Ardor’. It has a strong beginning that builds steadily to a wide, misty soundscape, feeling both peaceful and motivating…

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