Academic literature on the topic 'FSK-Lab'

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Journal articles on the topic "FSK-Lab"

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de Alba Aparicio, Miguel, Tasja Buschhardt, Ahmad Swaid, et al. "FSK-Lab – An open source food safety model integration tool." Microbial Risk Analysis 10 (December 2018): 13–19. http://dx.doi.org/10.1016/j.mran.2018.09.001.

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Ganas, Petra, Marcel Fuhrmann, and Matthias Filter. "A network model of the egg supply chain in Germany implemented as a FSKX compliant object." Food Modelling Journal 2 (November 17, 2021): e74171. https://doi.org/10.3897/fmj.2.74171.

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In our days, food supply chains are becoming more and more complex, generating global networks involving production, processing, distribution and sale of food products. To follow the "farm to fork" paradigm when assessing risks from various hazards linked to food products, supply chain network models are useful and versatile tools.The objective of the present "egg supply chain network model" is to allow users to predict and visualise the spatial commodity flow within the German egg supply chain. The network model provides for the user the option to select values for the input parameter "actor"
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Ali, Akram Syed, Christopher Coté, Mohammad Heidarinejad, and Brent Stephens. "Elemental: An Open-Source Wireless Hardware and Software Platform for Building Energy and Indoor Environmental Monitoring and Control." Sensors 19, no. 18 (2019): 4017. http://dx.doi.org/10.3390/s19184017.

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This work demonstrates an open-source hardware and software platform for monitoring the performance of buildings, called Elemental, that is designed to provide data on indoor environmental quality, energy usage, HVAC operation, and other factors to its users. It combines: (i) custom printed circuit boards (PCBs) with RFM69 frequency shift keying (FSK) radio frequency (RF) transceivers for wireless sensors, control nodes, and USB gateway, (ii) a Raspberry Pi 3B with custom firmware acting as either a centralized or distributed backhaul, and (iii) a custom dockerized application for the backend
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de, Alba Aparicio Miguel, Tasja Buschhardt, Ahmad Swaid, et al. "FSK-Lab – An open source food safety model integration tool." December 10, 2018. https://doi.org/10.5281/zenodo.2843200.

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In the last decades a large number of models have been developed in the quantitative microbial risk assessment (QMRA) and predictive microbiology (PM) domains. These models were generated with different scripting languages (e.g. R, MATLAB), commercial tools (e.g. @Risk) or even proprietary software tools (e.g. FSSP, FDAiRISK).The heterogeneity in software tools used to generate models together with the lack of a harmonized model exchange format has made the (re)-use of existing models in different software tools or simulation environments very difficult. The adoption of a harmonized informatio
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5

Ganas, Petra, Marcel Fuhrmann, and Matthias Filter. "A network model of the egg supply chain in Germany implemented as a FSKX compliant object." Food Modelling Journal 2 (November 17, 2021). http://dx.doi.org/10.3897/fmj.2.74171.

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Abstract:
In our days, food supply chains are becoming more and more complex, generating global networks involving production, processing, distribution and sale of food products. To follow the "farm to fork" paradigm when assessing risks from various hazards linked to food products, supply chain network models are useful and versatile tools. The objective of the present "egg supply chain network model" is to allow users to predict and visualise the spatial commodity flow within the German egg supply chain. The network model provides for the user the option to select values for the input parameter "actor
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Book chapters on the topic "FSK-Lab"

1

Eves, Caroline, Petra Ganas, and Maarten Nauta. "Using FSK-Lab to Join Models in Quantitative Microbiological Risk Assessment." In Methods and Protocols in Food Science. Springer US, 2025. https://doi.org/10.1007/978-1-0716-4112-5_10.

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Lopez-de-Abechuco, Estibaliz, Yvonne Mensching, and Matthias Filter. "Food Safety Knowledge Lab (FSK-Lab): Software Supporting Efficient and Harmonized Exchange of Data and Models in Food Safety." In Methods and Protocols in Food Science. Springer US, 2025. https://doi.org/10.1007/978-1-0716-4112-5_9.

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Long, Zalizah Awang, Abdul Razak Hamdan, Azuraliza Abu Bakar, and Mazrura Sahani. "Pattern Mining for Outbreak Discovery Preparedness." In Data Mining. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2455-9.ch105.

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Today, the objective of public health surveillance system is to reduce the impact of outbreaks by enabling appropriate intervention. Commonly used techniques are based on the changes or aberration in health events when compared with normal history to detect an outbreak. The main problem encountered in outbreaks is high rates of false alarm. High false alarm rates can lead to unnecessary interventions, and falsely detected outbreaks will lead to costly investigation. In this chapter, the authors review data mining techniques focusing on frequent and outlier mining to develop generic outbreak de
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Long, Zalizah Awang, Abdul Razak Hamdan, Azuraliza Abu Bakar, and Mazrura Sahani. "Pattern Mining for Outbreak Discovery Preparedness." In Medical Applications of Intelligent Data Analysis. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-1803-9.ch008.

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Today, the objective of public health surveillance system is to reduce the impact of outbreaks by enabling appropriate intervention. Commonly used techniques are based on the changes or aberration in health events when compared with normal history to detect an outbreak. The main problem encountered in outbreaks is high rates of false alarm. High false alarm rates can lead to unnecessary interventions, and falsely detected outbreaks will lead to costly investigation. In this chapter, the authors review data mining techniques focusing on frequent and outlier mining to develop generic outbreak de
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