Results 41 to 50 of about 336,769 (240)
The DUNE vertical drift photon detection system [PDF]
Journal of Instrumentation, 2022 Abstract The Deep Underground Neutrino Experiment (DUNE) is a long-baseline neutrino experiment designed to mainly investigate oscillation parameters, supernova physics and proton decay. Its far detector will be composed of four liquid argon time projection chamber (LArTPC) underground modules, in South Dakota-USA, which will detect a ...
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A survey on detecting healthcare concept drift in AI/ML models from a finance perspective
Frontiers in Artificial Intelligence, 2023 Data is incredibly significant in today's digital age because data represents facts and numbers from our regular life transactions. Data is no longer arriving in a static form; it is now arriving in a streaming fashion.
Abdul Razak M. S. +4 more
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Single-photon detection timing jitter in a visible light photon counter [PDF]
, 2010 Visible light photon counters (VLPCs) offer many attractive features as photon detectors, such as high quantum efficiency and photon number resolution. We report measurements of the single-photon timing jitter in a VLPC, a critical performance factor in ...
Baek, Burm +5 more
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Interpretable Model Drift Detection
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)Accepted at CODS-COMAD ...
Pranoy Panda +3 more
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, 2022 Language models produce multidimensional vectors, but the context of the embedding is not known. Storing the embeddings in a platform also requires advanced monitoring capabilities to detect data shifts. Drift detection in the domain of contextual embeddings is a challenging task, as it requires a large number of data points to be compared. This thesis
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IEEE AccessThe adoption of cloud computing has been increasingly common across several industries in recent years and offers unparalleled flexibility and scalability in managing computational resources.
Tajwar Mehmood +4 more
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, 2017 Language in social media is extremely dynamic: new words emerge, trend and disappear, while the meaning of existing words can fluctuate over time. Such dynamics are especially notable during a period of crisis. This work addresses several important tasks
Arendt, Dustin +3 more
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Comprehensive Process Drift Analysis with the Visual Drift Detection Tool
, 2019 Recent research has introduced ideas from concept drift into process mining to enable the analysis of changes in business processes over time. This stream of research, however, has not yet addressed the challenges of drift categorization, drilling-down, and quantification.
Yeshchenko, Anton +3 more
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Journal of University of Shanghai for Science and Technology, 2021 Stream data mining is a popular research area these days. The concept drift detection and drift handling are the biggest challenges of stream data mining. Several drift detection algorithms have been developed which can accurately detect various drifts but have the problem of false-positive drift detection.
Sanjeev Kumar, Ravendra Singh
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A high-precision interpretable framework for marine dissolved oxygen concentration inversion
Frontiers in Marine ScienceVariations in Marine Dissolved Oxygen Concentrations (MDOC) play a critical role in the study of marine ecosystems and global climate evolution. Although artificial intelligence methods, represented by deep learning, can enhance the precision of MDOC ...
Xin Li +4 more
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