Data Acquisition

Data acquisition refers to the process of collecting, recording, and storing data from various sources such as sensors, instruments, and other devices. This involves capturing raw data and converting it into a form that can be processed and analyzed by computer systems. Data acquisition systems typically consist of hardware and software components that work together to ensure accurate and reliable data collection. The goal of data acquisition is to gather information in a timely and efficient manner to support decision-making and enhance understanding of a particular phenomenon or system.

External Links

Bloomy: The Leader in Automated Test, Data Acquisition, and Control Systems
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October 28th 29th, 2019. DANCE: Dark-matter And Neutrino Computation Explored. | A workshop on the computational aspects (analysis tools, machine learning, distributed computing, data acquisition) of current direct-detection dark matter experiments and medium-sized neutrino experiments.
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Data-centric Machine Learning Research | The Journal of Data-centric Machine Learning Research (DMLR) is a new member of the JMLR family, aiming to provide a top archival venue for high-quality scholarly articles focused on the data aspect of machine learning research.
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GRC Database Information - Expertise in Global Data
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Bill of Lading Database, Import Export Data: PIERS | S&P Global
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