Results 21 to 30 of about 8,753,061 (307)
Practical autoencoder based anomaly detection by using vector reconstruction error
Cybersecurity, 2023 Nowadays, cloud computing provides easy access to a set of variable and configurable computing resources based on user demand through the network. Cloud computing services are available through common internet protocols and network standards. In addition
H. Torabi +2 more
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Lexical Stress and Linguistic Predictability Influence Proofreading Behavior
Frontiers in Psychology, 2016 There is extensive evidence that the segmental (i.e., phonemic) layer of phonology is routinely activated during reading, but little is known about whether phonological activation extends beyond phonemes to subsegmental layers (which include articulatory
Lindsay N. Harris, Charles A. Perfetti
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On-Chip Error Detection Reusing Built-In Self-Repair for Silicon Debug
IEEE Access, 2021 Post-silicon debug has become important with the increased complexity of circuit designs. However, the increase in debug resource costs owing to improved observability has posed a major challenge.
Hayoung Lee, Hyunggoy Oh, Sungho Kang
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Neural evidence accumulation persists after choice to inform metacognitive judgments
eLife, 2015 The ability to revise one’s certainty or confidence in a preceding choice is a critical feature of adaptive decision-making but the neural mechanisms underpinning this metacognitive process have yet to be characterized.
Peter R Murphy +3 more
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Performance of quantum approximate optimization with quantum error detection [PDF]
Communications PhysicsThe quantum approximate optimization algorithm (QAOA) is a promising candidate for scaling up to tackle real-world applications. However, achieving better-than-classical performance with QAOA is believed to require fault tolerance.
Zichang He +3 more
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Context is Key: Grammatical Error Detection with Contextual Word Representations [PDF]
BEA@ACL, 2019 Grammatical error detection (GED) in non-native writing requires systems to identify a wide range of errors in text written by language learners. Error detection as a purely supervised task can be challenging, as GED datasets are limited in size and the ...
Samuel J Bell +2 more
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An RNS-Based Initial Absolute Position Estimator for Electrical Encoders
IEEE Access, 2023 In digital systems, the Residue Number System (RNS) represents an interesting alternative to the traditional two’s complement representation. Its performance and low-power properties have attracted significant research interest over the years.
Gian Carlo Cardarilli +6 more
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A Real-Time Approach for Error Detection in 𝜇PMU Measurements [PDF]
JES: Journal of Engineering SciencesThe quality of phasor data from micro-Phasor Measurement Units (μPMUs) is critical for smart grid applications. It plays a key role in various aspects of power system management and is essential for the transition to a smarter and more sustainable grid ...
Rahma Mohammed +3 more
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Sensors, 2022 The Industrial Revolution 4.0 (IR 4.0) has drastically impacted how the world operates. The Internet of Things (IoT), encompassed significantly by the Wireless Sensor Networks (WSNs), is an important subsection component of the IR 4.0.
Ghaihab Hassan Adday +3 more
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Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection [PDF]
Conference on Empirical Methods in Natural Language Processing, 2018 Grammatical error correction, like other machine learning tasks, greatly benefits from large quantities of high quality training data, which is typically expensive to produce. While writing a program to automatically generate realistic grammatical errors
Sudhanshu Kasewa +2 more
semanticscholar +1 more source