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Diagram of DeepSurv. DeepSurv is a configurable feed-forward deep neural network. The input to the network is the baseline data x. The network propagates the inputs through a number of hidden ...
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This survey paper describes a focused literature survey of machine learning (ML) and data mining (DM) methods for cyber analytics in support of intrusion detection. Short tutorial descriptions of each ML/DM method are provided. Based on the number of citations or the relevance of an emerging method, papers representing each method were identified, read, and summarized. …
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Video surveillance systems can be used in a variety of ways within the mining industry The development of specialised, integrated video security systems for specific environments has vastly increased the benefits they deliver to users.
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Through the use of rugged CCTV camera and access control systems, mining companies make sure that no harm comes to their employees, equipment or materials. This guide to mining security introduces some of the key concerns …
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Modalities used in the user study for activity recognition: (a) CCTV, (b) point cloud scene representation, and (c) VR-Surv. …
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The mining industry faces extreme and multi-faceted challenges in both security and safety. The key concern of security managers in the mining sector are keeping employees safe, however, they are also tasked with preventing theft of valuable raw materials and equipment, choosing equipment that can work in extreme envir…
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In this paper, we present VR-Surv, a VR-based privacy aware surveillance system for large scale urban environments. Our concept is based on conveying the semantics of the scene uniquely, without revealing the identity of the individuals or the contextual details that might violate the privacy of the entities present in the surveillance area.
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T1 - WHO Global Salm-Surv External Quality Assurance System for Serotyping of Salmonella Isolates from 2000 to 2007. AU - Hendriksen, Rene S. AU - Mikoleit, Matthew. AU - Carlson, Valeria P. AU - Karlsmose, Susanne. AU - Vieira, Antonio. AU - Jensen, Arne Bent. AU - Seyfarth, Anne Mette. AU - DeLong, Stephanie M. AU - Weill, Francois-Xavier
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Mining and mineral exploration play important roles in the global economy. In mining operations, communication systems play vital roles in ensuring personnel safety, enhancing operational efficiency and process optimization. Over the period 1920-2012, this article surveys the evolution of wireless communications in underground mines, the developments of …
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The complexity of ML/DM algorithms is addressed, discussion of challenges for using ML/ DM for cyber security is presented, and some recommendations on when to use a given method are provided. This survey paper describes a focused literature survey of machine learning (ML) and data mining (DM) methods for cyber analytics in support of intrusion …
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mining activities to some external data miners. In this case, the data mining task performed by the recipient is known in advance. In the effort to improve the quality of the data mining result, the data publisher could release a customized data set that preserves specific types of patterns for such a data mining task. Still, the actual data
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An event is a real-world occurrence that takes place in a specific location and time that relates to a particular topic. Events can range from large-scale (e.g., civil unrest events and earthquakes), to medium-scale (e.g., system failures and crime incidents), to small-scale (e.g., authentication events and individual actions) occurrences [].Event analytics are important in domains as ...
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Software Vulnerability Analysis and Discovery Using Machine-Learning and Data-Mining Techniques: A Survey SEYED MOHAMMAD GHAFFARIAN and HAMID REZA SHAHRIARI, Amirkabir University of Technology Software security vulnerabilities are one of the critical issues in the realm of computer security. Due to their potential high severity impacts, …
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Mining Patterns in Persistent Surv eillance Systems with Smart Query and Visual Analytics Mohammad S. Habibi Amir Shirkhodaie [email protected] [email protected]
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geometry changes, system calibration and sensor design. There have been papers describing new systems developed for mineral exploration and case histories describing the use of EM methods to directly discover mineral deposits or to map the geology. Most of this work is by the service companies and mining companies and reported in the unrefereed
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In that survey, the authors categorized learning and mining based works into four classes: supervised learning using software metrics, unsupervised learning by mining rules, vulnerable code ...
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