Results 61 to 70 of about 26,646,267 (236)
Computational Surveillance of Microbial Water Quality With Online Flow Cytometry
Frontiers in Water, 2020 Automated flow cytometry (FCM) adapted to real-time quality surveillance provides high-temporal-resolution data about the microbial communities in a water system.
Marie C. Sadler +4 more
doaj +1 more source
Animals, 2021 Dairy farm decision support systems (DSS) are tools which help dairy farmers to solve complex problems by improving the decision-making processes.
Michel Baldin +22 more
doaj +1 more source
On the uncertainty of stream networks derived from elevation data: the error propagation approach [PDF]
, 2010 DEM error propagation methodology is extended to the derivation of vector-based objects (stream networks) using geostatistical simulations. First, point sampled elevations are used to fit a variogram model.
Hengl, T. +2 more
core +2 more sources
Survey of anadromous fish spawning areas: completion report, project AFC-8 July 1970 - January 1975 for Potomac River drainage, Upper Chesapeake Bay drainage [PDF]
, 1975 This report summarizes Project AFC-8 ("Survey of Anadromous Fish Spawning Areas") stream investigation and improvement activities for the entire study period of July 1970 to January 1975.
Dintaman, Ray, Gabor, John, O'Dell, Jay
core
Fishing in the Stream: Similarity Search over Endless Data
, 2017 Similarity search is the task of retrieving data items that are similar to a given query. In this paper, we introduce the time-sensitive notion of similarity search over endless data-streams (SSDS), which takes into account data quality and temporal ...
Carmel, David +2 more
core +1 more source
Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019 Nowadays many applications require to analyse the continuous flow of data produced by different data sources before the data is stored. Data streaming engines emerged as a solution for processing data on the fly. At the same time, computer architectures have evolved to systems with several interconnected CPUs and Non Uniform Memory Access (NUMA), where
Patiño Martínez, Marta +1 more
openaire +2 more sources
Data Stream Clustering Techniques, Applications, and Models: Comparative Analysis and Discussion
Big Data and Cognitive Computing, 2018 Data growth in today’s world is exponential, many applications generate huge amount of data streams at very high speed such as smart grids, sensor networks, video surveillance, financial systems, medical science data, web click streams, network data, etc.
Umesh Kokate +3 more
semanticscholar +1 more source
Sensors, 2020 With the proliferation of sensors and IoT technologies, stream data are increasingly stored and analysed, but rarely combined, due to the heterogeneity of sources and technologies.
Tarek Elsaleh +5 more
doaj +1 more source
A Review of Machine Learning and Deep Learning Techniques for Anomaly Detection in IoT Data
Applied Sciences, 2021 Anomaly detection has gained considerable attention in the past couple of years. Emerging technologies, such as the Internet of Things (IoT), are known to be among the most critical sources of data streams that produce massive amounts of data ...
Redhwan Al-amri +5 more
doaj +1 more source
Null-stream veto for two co-located detectors: Implementation issues
, 2006 Time-series data from multiple gravitational wave (GW) detectors can be linearly combined to form a null-stream, in which all GW information will be cancelled out.
Acernese F +12 more
core +1 more source