The computing device may further include a processor configured to sort the plurality of database entries into a plurality of database entry length sets. For each database entry length set, each database entry included in the database entry length set may be within a predefined length range. ...
The cloud has become the de facto platform for app deployment, making cloud resources a target for malicious agents and a priority for data protection. Maintaining a secure cloud environment is essential for fostering and upholding customer trust, a cornerstone of a positive business reputation. Ther...
A particular type of data classification highly sought in a Customer MDM program is customer hierarchy. Customer hierarchy management entails managing customer data relationships to represent company organizational structures, for example. Another classification (in Product MDM, for instance), is product ta...
This communication addresses real-time weapon classification by analysis of asynchronous acoustic data, collected from microphones on a sensor network. The weapon classification algorithm consists of two parts: (i) feature extraction from time-series data using symbolic dynamic filtering (SDF), and (ii...
In brief, diagnostic classifications of two brain structures in two diseases have been shown to be improved by s-reps over boundary point representations, high-quality segmentations by posterior optimization of multiple organs in both CT and 3D ultrasound have been produced using shape priors based ...
This work presents a structural health monitoring (SHM) approach for the detection and classification of structural changes. The proposed strategy is based on t-distributed stochastic neighbor embedding (t-SNE), a nonlinear procedure that is able to repr
Our scheme further reduces the number of TCAM accesses by intelligently selecting fields stored in TCAM and employing supplementary data structures in SRAM. We propose several approaches to eliminate redundant TCAM accesses. The simulation results show that our scheme can effectively search long rules ...
it to performance toy task first. the model is independent from data set. check here for formal report of large scale multi-label text classification with deep learning several models here can also be used for modelling question answering (with or without context), or to do sequences generating...
In current in situ X-ray diffraction (XRD) techniques, data generation surpasses human analytical capabilities, potentially leading to the loss of insights. Automated techniques require human intervention, and lack the performance and adaptability requir
analysis to find groups in the data. These classified responses of many linguistic atlas maps can be synoptically evaluated and visualised with VDM; this application implements a wide variety of methods known from numerical classification to investigate into basilectal structures hidden in linguistic ...