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Algorithms, Volume 12, Issue 1

2019 January - 27 articles

Cover Story: Learning from data is more beneficial whenever it brings about substantial innovation. If a significant amount of data is available, it remains challenging to sort through the most useful and possibly the best data for our purposes.
In many practical applications, the number of data-acquisition devices is growing at an exponential rate, such as in distributed networks, in massive multiple-input multiple-output (MIMO) antennas, and for social networks. This trend calls for the parsimonious use of the acquired data when considering the overwhelming resources required such as storage capacity.
In the era of Big Data, we face the challenge of efficiently utilizing a large amount of data to extract critical information.
In the context of adaptive filtering, the recently proposed strategy to perform data selection approximating a prescribed update rate appears to be promising. View this paper.
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Articles (27)

  • Article
  • Open Access
4 Citations
6,483 Views
22 Pages

21 January 2019

Marine transportation in Aegean Sea, a part of the Mediterranean Sea that serves as gateway between three continents has recently seen a significant increase. Despite the commercial benefits to the region, there are certain issues related to the pres...

  • Article
  • Open Access
8 Citations
5,089 Views
13 Pages

18 January 2019

A lot of research work has studied the auction mechanism of uncertain advertising cooperation between the e-commerce platform and advertisers, but little has focused on pricing strategy in stable advertising cooperation under a certain market power s...

  • Article
  • Open Access
2 Citations
5,166 Views
15 Pages

18 January 2019

For an energy-harvesting wireless transmission system, considering that a transmitter which can harvest energy from nature has two kinds of extra energy consumption, circuit consumption and storage losses, the optimization models are set up in this p...

  • Article
  • Open Access
10 Citations
5,301 Views
14 Pages

18 January 2019

Machine translation is used in many applications in everyday life. Due to the increase of translated documents that need to be organized as useful or not (for building a translation model), the automated categorization of texts (classification), is a...

  • Article
  • Open Access
13 Citations
7,186 Views
17 Pages

On Finding and Enumerating Maximal and Maximum k-Partite Cliques in k-Partite Graphs

  • Charles A. Phillips,
  • Kai Wang,
  • Erich J. Baker,
  • Jason A. Bubier,
  • Elissa J. Chesler and
  • Michael A. Langston

15 January 2019

Let k denote an integer greater than 2, let G denote a k-partite graph, and let S denote the set of all maximal k-partite cliques in G. Several open questions concerning the computation of S are resolved. A straightforward and highly-scalable modific...

  • Article
  • Open Access
4 Citations
4,845 Views
16 Pages

11 January 2019

As an important angle sensor of the opto-electric platform, gyro output accuracy plays a vital role in the stabilization and track accuracy of the whole system. It is known that the generally used fixed-bandwidth filters, single neural network models...

  • Article
  • Open Access
15 Citations
4,974 Views
16 Pages

10 January 2019

Quality of service multicast routing is an important research topic in networks. Research has sought to obtain a multicast routing tree at the lowest cost that satisfies bandwidth, delay and delay jitter constraints. Due to its non-deterministic poly...

  • Article
  • Open Access
10 Citations
6,705 Views
14 Pages

10 January 2019

This paper develops an automated algorithm to process input data for segmented string relative rankings (SSRRs). The purpose of the SSRR methodology is to create rankings of countries, companies, or any other units based on surveys of expert opinion....

  • Article
  • Open Access
28 Citations
4,987 Views
19 Pages

10 January 2019

In this paper, a robust guaranteed-cost preview repetitive controller is proposed for a class of polytopic uncertain discrete-time systems. In order to improve the tracking performance, a repetitive controller, combined with preview compensator, is i...

  • Article
  • Open Access
41 Citations
5,871 Views
22 Pages

Shadowed Type-2 Fuzzy Systems for Dynamic Parameter Adaptation in Harmony Search and Differential Evolution Algorithms

  • Oscar Castillo,
  • Patricia Melin,
  • Fevrier Valdez,
  • Jose Soria,
  • Emanuel Ontiveros-Robles,
  • Cinthia Peraza and
  • Patricia Ochoa

9 January 2019

Nowadays, dynamic parameter adaptation has been shown to provide a significant improvement in several metaheuristic optimization methods, and one of the main ways to realize this dynamic adaptation is the implementation of Fuzzy Inference Systems. Th...

  • Article
  • Open Access
10 Citations
6,256 Views
14 Pages

8 January 2019

Pansharpening is a domain-specific task of satellite imagery processing, which aims at fusing a multispectral image with a corresponding panchromatic one to enhance the spatial resolution of multispectral image. Most existing traditional methods fuse...

  • Article
  • Open Access
17 Citations
5,240 Views
27 Pages

7 January 2019

This paper proposes total optimization of energy networks in a smart city by multi-population global-best modified brain storm optimization (MP-GMBSO). Efficient utilization of energy is necessary for reduction of CO2 emission, and smart city demonst...

  • Article
  • Open Access
52 Citations
8,545 Views
16 Pages

4 January 2019

Diabetic retinopathy (DR) is a complication of diabetes and is known as visual impairment, and is diagnosed in various ethnicities of the working-age population worldwide. Fundus angiography is a widely applicable modality used by ophthalmologists an...

  • Article
  • Open Access
7 Citations
5,534 Views
16 Pages

Edge-Nodes Representation Neural Machine for Link Prediction

  • Guangluan Xu,
  • Xiaoke Wang,
  • Yang Wang,
  • Daoyu Lin,
  • Xian Sun and
  • Kun Fu

2 January 2019

Link prediction is a task predicting whether there is a link between two nodes in a network. Traditional link prediction methods that assume handcrafted features (such as common neighbors) as the link’s formation mechanism are not universal. Ot...

  • Article
  • Open Access
5 Citations
4,495 Views
23 Pages

Dissimilarity Space Based Multi-Source Cross-Project Defect Prediction

  • Shengbing Ren,
  • Wanying Zhang,
  • Hafiz Shahbaz Munir and
  • Lei Xia

2 January 2019

Software defect prediction is an important means to guarantee software quality. Because there are no sufficient historical data within a project to train the classifier, cross-project defect prediction (CPDP) has been recognized as a fundamental appr...

  • Article
  • Open Access
7 Citations
6,097 Views
13 Pages

31 December 2018

In this paper, a novel approach to facial expression recognition based on the discrete separable shearlet transform (DSST) and normalized mutual information feature selection is proposed. The approach can be divided into five steps. First, all test a...

  • Article
  • Open Access
9 Citations
5,200 Views
10 Pages

29 December 2018

In this study, fifth-order and sixth-order diagonally implicit Runge–Kutta type (DIRKT) techniques for solving fourth-order ordinary differential equations (ODEs) are derived which are denoted as DIRKT5 and DIRKT6, respectively. The first metho...

  • Article
  • Open Access
58 Citations
6,853 Views
21 Pages

Comparative Study in Fuzzy Controller Optimization Using Bee Colony, Differential Evolution, and Harmony Search Algorithms

  • Oscar Castillo,
  • Fevrier Valdez,
  • José Soria,
  • Leticia Amador-Angulo,
  • Patricia Ochoa and
  • Cinthia Peraza

27 December 2018

This paper presents a comparison among the bee colony optimization (BCO), differential evolution (DE), and harmony search (HS) algorithms. In addition, for each algorithm, a type-1 fuzzy logic system (T1FLS) for the dynamic modification of the main p...

  • Article
  • Open Access
6 Citations
6,459 Views
16 Pages

A Robust Visual Tracking Algorithm Based on Spatial-Temporal Context Hierarchical Response Fusion

  • Wancheng Zhang,
  • Yanmin Luo,
  • Zhi Chen,
  • Yongzhao Du,
  • Daxin Zhu and
  • Peizhong Liu

26 December 2018

Discriminative correlation filters (DCFs) have been shown to perform superiorly in visual object tracking. However, visual tracking is still challenging when the target objects undergo complex scenarios such as occlusion, deformation, scale changes a...

  • Article
  • Open Access
6 Citations
5,740 Views
14 Pages

Salt and Pepper Noise Removal with Multi-Class Dictionary Learning and L0 Norm Regularizations

  • Di Guo,
  • Zhangren Tu,
  • Jiechao Wang,
  • Min Xiao,
  • Xiaofeng Du and
  • Xiaobo Qu

25 December 2018

Images may be corrupted by salt and pepper impulse noise during image acquisitions or transmissions. Although promising denoising performances have been recently obtained with sparse representations, how to restore high-quality images remains challen...

  • Article
  • Open Access
2 Citations
4,902 Views
14 Pages

MAPSkew: Metaheuristic Approaches for Partitioning Skew in MapReduce

  • Matheus H. M. Pericini,
  • Lucas G. M. Leite,
  • Francisco H. De Carvalho-Junior,
  • Javam C. Machado and
  • Cenez A. Rezende

24 December 2018

MapReduce is a parallel computing model in which a large dataset is split into smaller parts and executed on multiple machines. Due to its simplicity, MapReduce has been widely used in various applications domains. MapReduce can significantly reduce...

  • Article
  • Open Access
9 Citations
4,681 Views
15 Pages

24 December 2018

Considering the linear motion of particleboards in the production line, the detection of surface defects in particleboards is a major challenge. In this paper, a method based on moving target tracking is proposed for the detection of surface defects...

  • Article
  • Open Access
37 Citations
6,546 Views
16 Pages

21 December 2018

Path planning of unmanned aerial vehicles (UAVs) in threatening and adversarial areas is a constrained nonlinear optimal problem which takes a great amount of static and dynamic constraints into account. Quantum-behaved pigeon-inspired optimization (...

  • Article
  • Open Access
17 Citations
6,235 Views
15 Pages

On Fast Converging Data-Selective Adaptive Filtering

  • Marcele O. K. Mendonça,
  • Jonathas O. Ferreira,
  • Christos G. Tsinos,
  • Paulo S R Diniz and
  • Tadeu N. Ferreira

21 December 2018

The amount of information currently generated in the world has been increasing exponentially, raising the question of whether all acquired data is relevant for the learning algorithm process. If a subset of the data does not bring enough innovation,...

  • Article
  • Open Access
28 Citations
9,158 Views
17 Pages

20 December 2018

An important ingredient in economic policy planning both in the public or the private sector is risk management. In economics and finance, risk manifests through many forms and it is subject to the sector that it entails (financial, fiscal, internati...

  • Article
  • Open Access
2 Citations
4,715 Views
20 Pages

Steady-State Performance of an Adaptive Combined MISO Filter Using the Multichannel Affine Projection Algorithm

  • Danilo Comminiello,
  • Michele Scarpiniti,
  • Luis A. Azpicueta-Ruiz and
  • Aurelio Uncini

20 December 2018

The combination of adaptive filters is an effective approach to improve filtering performance. In this paper, we investigate the performance of an adaptive combined scheme between two adaptive multiple-input single-output (MISO) filters, which can be...

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Algorithms - ISSN 1999-4893