Results 21 to 30 of about 1,573,713 (266)
NEW APPROACHES TO MISSING BIOMEDICAL DATA RECOVERY FOR MACHINE LEARNING
Journal of Engineering Science (Chişinău), 2023 Missing data is a common problem for medical data sets, especially large ones. This issue is of major importance since it can influence the analysis and further use of the data, e.g., for machine learning purposes.
IAPĂSCURTĂ, Victor, FIODOROV, Ion
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Sign Data Derivative Recovery [PDF]
ISRN Applied Mathematics, 2012 Given only the signs of signal plus noise added repetitively or sign data, signal amplitudes can be recovered with minimal variance. However, discrete derivatives of the signal are recovered from sign data with a variance which approaches infinity with decreasing step size and increasing order.
L. M. Houston +2 more
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IEEE Access, 2022 The concept of big data security is introduced in this article along with many features. It illustrates the need for security in healthcare systems as the volume of data increases continuously over the period of time.
Snehalata Funde, Gandharba Swain
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Community Partitioning over Feature-Rich Networks Using an Extended K-Means Method
Entropy, 2022 This paper proposes a meaningful and effective extension of the celebrated K-means algorithm to detect communities in feature-rich networks, due to our assumption of non-summability mode.
Soroosh Shalileh, Boris Mirkin
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GRACE Follow‐On Accelerometer Data Recovery [PDF]
Journal of Geophysical Research: Solid Earth, 2020 Abstract In Gravity Recovery and Climate Experiment (GRACE) Follow‐on (GRACE‐FO) mission, similar to its predecessor GRACE, the twin satellites are equipped with three‐axis accelerometers, measuring the non‐gravitational forces.
Saniya Behzadpour +2 more
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IEEE Photonics Journal, 2019 To realize a long-distance underwater communication by using low-cost light emitting diode (LED) and single photon avalanche diode (SPAD), we proposed a method for recovering clock and data directly from discrete random pulse sequences output by SPAD. On
Qiurong Yan +4 more
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Missing Data Recovery via Deep Networks for Limited Ground Penetrating Radar Measurements
Remote Sensing, 2022 Missing data problem frequently occurs during data acquisition in ground-penetrating radar (GPR) and recovery of the missing entries prior to any processing is vital in GPR imaging.
Deniz Kumlu, Kubra Tas, Isin Erer
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Data recovery for web applications [PDF]
2010 IEEE/IFIP International Conference on Dependable Systems & Networks (DSN), 2010 Web-based applications store their data at the server side. This design has several benefits, but it can also cause a serious problem because a misconfiguration, bug or vulnerability leading to data loss or corruption can affect many users. While data backup solutions can help resolve some of these issues, they do not help diagnose the events that led ...
Istemi Ekin Akkus, Ashvin Goel
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Cerebellar ataxia after pediatric brain tumor treatment can cause persistent gait, balance, and speech impairment, yet no established rehabilitation strategy exists. Somato‐cognitive coordination therapy (SCCT) is a virtual reality–guided intervention designed to promote sensorimotor integration through visually constrained reaching
Masanobu Takeuchi +10 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Type 1 plasminogen deficiency (PLGD‐1) is an ultra‐rare autosomal recessive disorder caused by variants in the PLG gene and affects approximately 1.6 individuals per million. The condition is characterized by decreased plasminogen levels and impaired function, resulting in fibrin‐rich lesions on mucous membranes throughout the body.
Charles Nakar +7 more
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