Results 21 to 30 of about 8,969 (238)

On Frequency Estimation and Detection of Heavy Hitters in Data Streams

Future Internet, 2020
A stream can be thought of as a very large set of data, sometimes even infinite, which arrives sequentially and must be processed without the possibility of being stored. In fact, the memory available to the algorithm is limited and it is not possible to
Federica Ventruto, Marco Pulimeno, Massimo Cafaro, Italo Epicoco   +3 more
doaj   +1 more source

A Novel Broad Learning System Based Leakage Detection and Universal Localization Method for Pipeline Networks

IEEE Access, 2019
The security of pipeline systems draws attention increasingly; therefore, a novel method based on neural network and graph theory is proposed for the detection and localization of pipeline networks in this paper.
Dazhong Ma, Junda Wang, Qiuye Sun, Xuguang Hu   +3 more
doaj   +1 more source

Exercise Training Promotes Functional Recovery after Spinal Cord Injury

Neural Plasticity, 2016
The exercise training is an effective therapy for spinal cord injury which has been applied to clinic. Traditionally, the exercise training has been considered to improve spinal cord function only through enhancement, compensation, and replacement of the
Juanjuan Fu, Hongxing Wang, Lingxiao Deng, Jianan Li   +3 more
doaj   +1 more source

Succinct Data Structures for Representing Equivalence Classes [PDF]

, 2013
Given a partition of an n element set into equivalence classes, we consider time-space tradeoffs for representing it to support the query that asks whether two given elements are in the same equivalence class. This has various applications including for testing whether two vertices are in the same component in an undirected graph or in the same ...
Moshe Lewenstein, J. Ian Munro, Venkatesh Raman 0001   +2 more
openaire   +2 more sources

Commentary by Ed Walker on Littlejohn, A. (2003) Reusing Online Resources, Chapter 12: Learning Technology Interoperability Standards, by Oleg Liber and Bill Olivier

Journal of Interactive Media in Education, 2004
: Bill Olivier and Oleg Liber begin this chapter with an succinct summary of the benefits of interoperable media and software for education and training, as well as a concise differentiation of specifications, reference models, and standards. At the time
Ed Walker
doaj   +1 more source

Thermodynamic Analysis of Time Evolving Networks

Entropy, 2018
The problem of how to represent networks, and from this representation, derive succinct characterizations of network structure and in particular how this structure evolves with time, is of central importance in complex network analysis.
Cheng Ye, Richard C. Wilson, Luca Rossi, Andrea Torsello, Edwin R. Hancock   +4 more
doaj   +1 more source

Electronic tumor board presentations as the basis for the development of a head and neck cancer database

Laryngoscope Investigative Otolaryngology, 2020
Background Multidisciplinary team meetings or tumor boards (TBs) form a pivotal component of oncology practice. The crux of a TB revolves around making treatment decisions based on succinct head and neck cancer (HNC) patient data presentations, which can
Mahalakshmi Rangabashyam, Hide E. Wee, Weining Wang, Stefan Mueller, Khairul A. B. A. Karim, Thakshayeni Skanthakumar, Bhuvaneshwari Hariraman, Kiattisa Sommat, Yoke‐Lim Soong, Melvin L. K. Chua, Gerald Tay, Ngian ‐Chye Tan, Hiang Khoon‐ Tan, N. Gopalakrishna Iyer   +13 more
doaj   +1 more source

BSuccinct: Rust libraries and programs focused on succinct data structures

SoftwareX
BSuccinct is a collection of software focused on compact and succinct data structures that are both space and time efficient. It is written in Rust, a programming language well suited for scientific applications due to its emphasis on reliability and ...
Piotr Beling
doaj   +1 more source

SDSL-Mobile: Enabling space-efficient data structures for mobile applications

SoftwareX
This paper presents the process and results of porting the Succinct Data Structure Library 2.0 (SDSL-lite), a robust and well-established open-source C++11 library, to Android platforms.
Alexander Barquero, Anisha Wadhwani, Tyler Pencinger, Aaron Hong, Jaime Ruiz, Mattia Prosperi, Christina Boucher   +6 more
doaj   +1 more source

Transformer Incipient Hybrid Fault Diagnosis Based on Solar-Powered RFID Sensor and Optimized DBN Approach

IEEE Access, 2019
This paper introduces a novel hybrid fault diagnosis method for power transformer. This method employs solar-powered radio-frequency identification (RFID) sensor for transformer vibration signal acquisition and deep belief network (DBN) for feature ...
Tao Wang, Yigang He, Tiancheng Shi, Bing Li   +3 more
doaj   +1 more source