Results 21 to 30 of about 265,994 (263)

Deep Learning Based Data Recovery for Localization

IEEE Access, 2020
In this paper, we study the problem of euclidean distance matrix (EDM) recovery aiming to tackle the problem of received signal strength indicator sparsity and fluctuations in indoor environments for localization purposes. This problem is addressed under
Wafa Njima, Marwa Chafii, Ahmad Nimr, Gerhard Fettweis   +3 more
doaj   +1 more source

5-pass zero-knowledge identity authentication scheme based on matrix completion problem

Tongxin xuebao, 2021
To solve the problem that most identity authentication schemes are vulnerable to quantum-computing attacks and low efficiency, a new 5-pass zero-knowledge identity authentication scheme was designed based on the matrix completion problem (MCP).Since the ...
Houzhen WANG, Xinwei CAI, Yan GUO, Huanguo ZHANG   +3 more
doaj   +2 more sources

HOSVD-Based Algorithm for Weighted Tensor Completion

Journal of Imaging, 2021
Matrix completion, the problem of completing missing entries in a data matrix with low-dimensional structure (such as rank), has seen many fruitful approaches and analyses.
Zehan Chao, Longxiu Huang, Deanna Needell   +2 more
doaj   +1 more source

Immunity of Complete Problems

Information and Computation, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Steven Homer, Jie Wang 0002
openaire   +2 more sources

Log-Aesthetic Curves for Shape Completion Problem

Journal of Applied Mathematics, 2014
An object with complete boundary or silhouette is essential in various design and computer graphics feats. Due to various reasons, some parts of the object can be missing hence increasing the complexity in designing process.
R. U. Gobithaasan, Yip Siew Wei, Kenjiro T. Miura   +2 more
doaj   +1 more source

Novel Heuristic Approach for Solving Multi-objective Scheduling Problems

Ibn Al-Haitham Journal for Pure and Applied Sciences, 2021
In this paper, we studied the scheduling of  jobs on a single machine.  Each of n jobs is to be processed without interruption and becomes available for processing at time zero.
Begard A. Amin, Ayad M. Ramadan
doaj   +1 more source

Missing Data Recovery Based on Tensor-CUR Decomposition

IEEE Access, 2018
Tensor completion is a higher way analog of matrix completion, which has proven to be a powerful tool for data analysis. In this paper, we formulate the missing data recovery problem of a three-way tensor as a tensor completion problem.
Lele Wang, Kun Xie, Thabo Semong, Huibin Zhou   +3 more
doaj   +1 more source

A Solution to the Completion Problem for Quasi-Pseudometric Spaces

International Journal of Mathematics and Mathematical Sciences, 2013
The different notions of Cauchy sequence and completeness proposed in the literature for quasi-pseudometric spaces do not provide a satisfactory theory of completeness and completion for all quasi-pseudometric spaces. In this paper, we introduce a notion
Athanasios Andrikopoulos
doaj   +1 more source

Optimal Rate Schedules with Data Sharing in Energy Harvesting Communication Systems

Sensors, 2017
Despite the abundant research on energy-efficient rate scheduling polices in energy harvesting communication systems, few works have exploited data sharing among multiple applications to further enhance the energy utilization efficiency, considering that
Weiwei Wu, Huafan Li, Feng Shan, Yingchao Zhao   +3 more
doaj   +1 more source

Time-Constrained Task Allocation and Worker Routing in Mobile Crowd-Sensing Using a Decomposition Technique and Deep Q-Learning

IEEE Access, 2021
Mobile crowd-sensing (MCS) is a data collection paradigm, which recruits mobile users with smart devices to perform sensing tasks on a city-wide scale. In MCS, a key challenge is task allocation, especially when MCS applications are time-sensitive, and ...
Shathee Akter, Thi-Nga Dao, Seokhoon Yoon   +2 more
doaj   +1 more source