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Algorithms, Volume 12, Issue 5

2019 May - 25 articles

Cover Story: Current medical deformable image registration (DIR) methods optimize the weighted sums of key objectives of interest (e.g., dissimilarity, deformation magnitude, and guidance error). Having one weight combination that yields high-quality results for any instance of a specific DIR problem (i.e., a class solution) would facilitate the clinical application of DIR. A multi-objective optimization approach for DIR removes the need for manual tuning of the weight combination, providing a set of high-quality trade-off solutions. Here, we employed an evolutionary machine-learning approach to compute a multi-objective class solution for DIR—a set of weight combinations that, when used on any instance of a DIR problem, yields multiple high-quality DIR outcomes. We applied this approach to DIR of breast MRIs. From this set, a preferred DIR outcome can be intuitively selected, potentially facilitating the use of DIR in clinical practice. View this pa

Articles (25)

  • Article
  • Open Access
22 Citations
6,234 Views
14 Pages

Convolution Accelerator Designs Using Fast Algorithms

  • Yulin Zhao,
  • Donghui Wang and
  • Leiou Wang

27 May 2019

Convolutional neural networks (CNNs) have achieved great success in image processing. However, the heavy computational burden it imposes makes it difficult for use in embedded applications that have limited power consumption and performance. Although...

  • Article
  • Open Access
11 Citations
8,352 Views
19 Pages

A Heuristic Algorithm for the Routing and Scheduling Problem with Time Windows: A Case Study of the Automotive Industry in Mexico

  • Marco Antonio Juárez Pérez,
  • Rodolfo Eleazar Pérez Loaiza,
  • Perfecto Malaquias Quintero Flores,
  • Oscar Atriano Ponce and
  • Carolina Flores Peralta

25 May 2019

This paper investigates a real-world distribution problem arising in the vehicle production industry, particularly in a logistics company, in which cars and vans must be loaded on auto-carriers and then delivered to dealerships. A solution to the pro...

  • Feature Paper
  • Article
  • Open Access
10 Citations
5,542 Views
9 Pages

Counter-Terrorism Video Analysis Using Hash-Based Algorithms

  • David García-Retuerta,
  • Álvaro Bartolomé,
  • Pablo Chamoso and
  • Juan Manuel Corchado

24 May 2019

The Internet is becoming a major source of radicalization. The propaganda efforts of new extremist groups include creating new propaganda videos from fragments of old terrorist attack videos. This article presents a web-scraping method for retrieving...

  • Article
  • Open Access
1 Citations
3,930 Views
15 Pages

An Adaptive Procedure for the Global Minimization of a Class of Polynomial Functions

  • Paola Favati,
  • Grazia Lotti,
  • Ornella Menchi and
  • Francesco Romani

23 May 2019

The paper deals with the problem of global minimization of a polynomial function expressed through the Frobenius norm of two-dimensional or three-dimensional matrices. An adaptive procedure is proposed which applies a Multistart algorithm according t...

  • Article
  • Open Access
5 Citations
8,402 Views
17 Pages

Real-Time Arm Gesture Recognition Using 3D Skeleton Joint Data

  • Georgios Paraskevopoulos,
  • Evaggelos Spyrou,
  • Dimitrios Sgouropoulos,
  • Theodoros Giannakopoulos and
  • Phivos Mylonas

20 May 2019

In this paper we present an approach towards real-time hand gesture recognition using the Kinect sensor, investigating several machine learning techniques. We propose a novel approach for feature extraction, using measurements on joints of the extrac...

  • Article
  • Open Access
4,358 Views
19 Pages

19 May 2019

With the increase in mobile location service applications, spatiotemporal queries over the trajectory data of moving objects have become a research hotspot, and continuous query is one of the key types of various spatiotemporal queries. In this paper...

  • Article
  • Open Access
34 Citations
16,776 Views
17 Pages

16 May 2019

The popularization of big data makes the enterprise need to store more and more data. The data in the enterprise’s database must be accessed as fast as possible, but the Relational Database (RDB) has the speed limitation due to the join operati...

  • Article
  • Open Access
3,731 Views
22 Pages

Balanced Parallel Exploration of Orthogonal Regions

  • Wyatt Clements,
  • Costas Busch,
  • Limeng Pu,
  • Daniel Smith and
  • Hsiao-Chun Wu

15 May 2019

We consider the use of multiple mobile agents to explore an unknown area. The area is orthogonal, such that all perimeter lines run both vertically and horizontally. The area may consist of unknown rectangular holes which are non-traversable internal...

  • Article
  • Open Access
1 Citations
4,751 Views
16 Pages

Achievement of Automatic Copper Wire Elongation System

  • Hsiung-Cheng Lin and
  • Chung-Hao Cheng

15 May 2019

Copper wire is a major conduction material that carries a variety of signals in industry. Presently, automatic wire elongating machines to produce very thin wiresare available for manufacturing. However, the original wires for the elongating process...

  • Article
  • Open Access
4,501 Views
11 Pages

Improved Neural Networks Based on Mutual Information via Information Geometry

  • Meng Wang,
  • Chuang-Bai Xiao,
  • Zhen-Hu Ning,
  • Jing Yu,
  • Ya-Hao Zhang and
  • Jin Pang

13 May 2019

This paper presents a new algorithm based on the theory of mutual information and information geometry. This algorithm places emphasis on adaptive mutual information estimation and maximum likelihood estimation. With the theory of information geometr...

  • Article
  • Open Access
15 Citations
4,463 Views
17 Pages

10 May 2019

This paper deals with an approximation of a first derivative of a signal using a dynamic system of the first order. After formulating the problem, a proposition and a theorem are proven for a possible approximation structure, which consists of a dyna...

  • Communication
  • Open Access
1 Citations
3,959 Views
10 Pages

10 May 2019

A theoretical framework for determining the dynamics of interacting sub-systems is proposed in this paper. Specifically, a systematic analysis is performed that results in an indication about whether an MP or an NMP dynamics occurs in the analyzed pr...

  • Article
  • Open Access
1 Citations
4,658 Views
21 Pages

9 May 2019

This paper presents a novel diagonal recurrent neural network hybrid controller based on the shared memory of real-time database structure. The controller uses Data Engine (DE) technology, through the establishment of a unified and standardized softw...

  • Article
  • Open Access
6,329 Views
11 Pages

Free Surface Flow Simulation by a Viscous Numerical Cylindrical Tank

  • Xingyue Ren,
  • Fangjie Xiong,
  • Ke Qu and
  • Norimi Mizutani

9 May 2019

In order to numerically investigate the free surface flow evolution in a cylindrical tank, a regular structured grid system in the cylindrical coordinates is usually applied to solve control equations based on the incompressible two-phase flow model....

  • Article
  • Open Access
6 Citations
5,158 Views
13 Pages

Evolutionary Machine Learning for Multi-Objective Class Solutions in Medical Deformable Image Registration

  • Kleopatra Pirpinia,
  • Peter A. N. Bosman,
  • Jan-Jakob Sonke,
  • Marcel van Herk and
  • Tanja Alderliesten

9 May 2019

Current state-of-the-art medical deformable image registration (DIR) methods optimize a weighted sum of key objectives of interest. Having a pre-determined weight combination that leads to high-quality results for any instance of a specific DIR probl...

  • Article
  • Open Access
25 Citations
6,089 Views
30 Pages

9 May 2019

In this paper, we propose a variable block insertion heuristic (VBIH) algorithm to solve the permutation flow shop scheduling problem (PFSP). The VBIH algorithm removes a block of jobs from the current solution. It applies an insertion local search t...

  • Feature Paper
  • Article
  • Open Access
13 Citations
9,438 Views
16 Pages

Triplet Loss Network for Unsupervised Domain Adaptation

  • Imad Eddine Ibrahim Bekkouch,
  • Youssef Youssry,
  • Rustam Gafarov,
  • Adil Khan and
  • Asad Masood Khattak

8 May 2019

Domain adaptation is a sub-field of transfer learning that aims at bridging the dissimilarity gap between different domains by transferring and re-using the knowledge obtained in the source domain to the target domain. Many methods have been proposed...

  • Article
  • Open Access
1 Citations
3,919 Views
12 Pages

A Source Domain Extension Method for Inductive Transfer Learning Based on Flipping Output

  • Yasutake Koishi,
  • Shuichi Ishida,
  • Tatsuo Tabaru and
  • Hiroyuki Miyamoto

7 May 2019

Transfer learning aims for high accuracy by applying knowledge of source domains for which data collection is easy in order to target domains where data collection is difficult, and has attracted attention in recent years because of its significant p...

  • Article
  • Open Access
10 Citations
4,728 Views
12 Pages

3 May 2019

This paper assumes that multiple device-to-device (D2D) users can reuse the same uplink channel and base station (BS) supplies power to D2D transmitters by means of wireless energy transmission; the optimization problem aims at maximizing the total c...

  • Article
  • Open Access
4 Citations
4,339 Views
15 Pages

3 May 2019

After the teaching–learning-based optimization (TLBO) algorithm was proposed, many improved algorithms have been presented in recent years, which simulate the teaching–learning phenomenon of a classroom to effectively solve global optimiz...

  • Concept Paper
  • Open Access
2 Citations
5,140 Views
10 Pages

1 May 2019

We describe a simple data structure for storing subsets of { 0 , , N 1 } , with N a given integer, which has optimal time performance for all the main set operations, whereas previous data structures are non-optimal for at lea...

  • Article
  • Open Access
22 Citations
4,944 Views
21 Pages

Multi-Metaheuristic Competitive Model for Optimization of Fuzzy Controllers

  • Marylu L. Lagunes,
  • Oscar Castillo,
  • Fevrier Valdez and
  • Jose Soria

28 April 2019

This article describes an optimization methodology based on a model of competitiveness between different metaheuristic methods. The main contribution is a strategy to dynamically find the algorithm that obtains the best result based on the competitiv...

  • Article
  • Open Access
7 Citations
4,554 Views
8 Pages

27 April 2019

In this paper we introduced a new class of strong negations, which were generated via conical sections. This paper focuses on the fact that simple mathematical and computational processes generate new strong fuzzy negations, through purely geometrica...

  • Feature Paper
  • Review
  • Open Access
107 Citations
14,443 Views
18 Pages

26 April 2019

Electrical impedance tomography (EIT) has been a hot topic among researchers for the last 30 years. It is a new imaging method and has evolved over the last few decades. By injecting a small amount of current, the electrical properties of tissues are...

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Algorithms - ISSN 1999-4893