Results 31 to 40 of about 24,118,381 (294)
Behavior-Based Cleaning for Unreliable RFID Data Sets
Sensors, 2012 Radio Frequency IDentification (RFID) technology promises to revolutionize the way we track items and assets, but in RFID systems, missreading is a common phenomenon and it poses an enormous challenge to RFID data management, so accurate data cleaning ...
Yisong Lin, Hua Fan, Quanyuan Wu
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Paladyn, 2023 Aiming at the data preprocessing requirements and label data cost issues arising from the intelligent operation and maintenance of electromechanical equipment, this article mainly studies structured data cleaning methods and fault prediction algorithms ...
Yang Wenjuan +3 more
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Peripheral lysosomes recruit PLEKHG3 to focal adhesions and restrain protrusion dynamics
FEBS Letters, EarlyView.Proximity‐dependent labeling at the LAMTOR complex revealed the Rho GEF PLEKHG3 as a lysosome‐proximal protein directing the study toward the influence of lysosome positioning on actin dynamics and cell motility. We show that PLEKHG3 colocalizes with lysosomes at focal adhesion sites and observe that forced peripheral dispersion of lysosomes hinders ...
Rainer Ettelt +8 more
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Remote SensingThe high-frequency detection of plant-scale crop growth in the field has great significance for achieving precise crop management and improving breeding practices.
Zhuolin Shi +7 more
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IoT in Healthcare: Achieving Interoperability of High-Quality Data Acquired by IoT Medical Devices
Sensors, 2019 It is an undeniable fact that Internet of Things (IoT) technologies have become a milestone advancement in the digital healthcare domain, since the number of IoT medical devices is grown exponentially, and it is now anticipated that by 2020 there will be
Argyro Mavrogiorgou +4 more
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Abnormal Data Cleaning Method for Wind Turbines Based on Constrained Curve Fitting
Energies, 2022 With the increase of the scale of wind turbines, the problem of data quality of wind turbines has become increasingly prominent, which seriously affects the follow-up research.
Xiangqing Yin +3 more
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Data cleaning for classification using misclassification analysis [PDF]
, 2009 In most classification problems, sometimes in order to achieve better results, data cleaning is used as a preprocessing technique. The purpose of data cleaning is to remove noise, inconsistent data and errors in the training data.
Wong, K.W., Fung, C.C., Jeatrakul, P.
core
Golgi enzymes are retrieved from the plasma membrane to the trans‐Golgi network
FEBS Letters, EarlyView.Golgi enzymes are traditionally considered resident proteins retained within the Golgi apparatus. Here, we demonstrate that a subset transiently reaches the cell surface and is subsequently retrieved to the trans‐Golgi network via retrograde transport. Using a nanobody‐based toolkit, we uncover a dynamic trafficking cycle of several Golgi enzymes.
Dominik P. Buser, Tina Junne
wiley +1 more source
Data Preprocessing and Feature Engineering for Data Mining: Techniques, Tools, and Best Practices
AIData preprocessing and feature engineering play key roles in data mining initiatives, as they have a significant impact on the accuracy, reproducibility, and interpretability of analytical results.
Paraskevas Koukaras, Christos Tjortjis
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Interactive data cleaning for real-time streaming applications [PDF]
, 2023 The importance of data cleaning systems has continuously grown in recent years. Especially for real-time streaming applications, it is crucial, to identify and possibly remove anomalies in the data on the fly before further processing. The main challenge
Sattler, Kai-Uwe +2 more
core +1 more source