Sentence examples for prone to data from inspiring English sources

Exact(9)

To that end, Sadler tells me that next on Tessian's roadmap is a way to make in-bound email less prone to data breaches.

For research purposes, automated geotagging is preferred over manual geotagging as it saves time, does not require EXIF editing software, and is less prone to data entry mistakes.

This is important given that traditional video-based lane tracking technology is prone to data loss when lane markers are missing, when weather conditions are bad, or in darkness.

However, in dense urban environments characterized by tall buildings and complex structural variations, Global Navigation Satellite System (GNSS) is prone to data degradations or complete loss of signal due to multipath effects, interference or antenna obscuration.

The author's claim that the IoT devices, especially in smart grids, are prone to data tampering and spoofing attacks and can be prevented with the help of a Public Key Infrastructure (PKI), Diffie-Hellman key exchange, Intrusion detection techniques and monitoring for modified input values.

The techniques using line-averaged mole fractions were less sensitive to the exact locations of emission sources and less prone to data loss from unsuitable wind directions; these advantages outweighed the lack of a method to calibrate CH4 mole fractions in situ.

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Similar(51)

The overall effect on its new Q30 SSD notebook is that they would be faster, lighter, last longer per charge and be less prone to data-loss.

If people are already prone to disbelieve data based on their politics, what happens when the actual data is not all that accurate?

Third, the effects are detailed for various business domains that should be the most prone to big data impact (e.g., customer-centric domains such as customer care or marketing; and competitive domains, such as strategy, or business intelligence).

However, they are prone to missing data, which is often non-random.

Condition (ii) alone is error prone to experimental data from dense graphs, which raises the probability to measure noise.

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