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Computers, Volume 11, Issue 1

2022 January - 14 articles

Cover Story: The complexity of production systems significantly affects companies, especially small- and medium-sized enterprises (SMEs), which need to reduce costs and, at the same time, become more competitive and increase their productivity by optimizing their production processes to make manufacturing processes more efficient. From a mathematical point of view, most real-world machine scheduling and sequencing problems are classified as NP-hard problems. Thus, heuristic and metaheuristic techniques are widely used, as are commercial solvers. In this paper, we develop a matheuristic algorithm to optimize the job-shop problem. The matheuristic algorithm combines a genetic algorithm with a disjunctive mathematical model, and the Coin-OR Branch and Cut open-source solver is employed. View this paper.
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Articles (14)

  • Article
  • Open Access
26 Citations
7,932 Views
19 Pages

A Systematic Selection Process of Machine Learning Cloud Services for Manufacturing SMEs

  • Can Kaymakci,
  • Simon Wenninger,
  • Philipp Pelger and
  • Alexander Sauer

17 January 2022

Small and medium-sized enterprises (SMEs) in manufacturing are increasingly facing challenges of digital transformation and a shift towards cloud-based solutions to leveraging artificial intelligence (AI) or, more specifically, machine learning (ML)...

  • Article
  • Open Access
54 Citations
16,011 Views
24 Pages

An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge

  • Imran Zualkernan,
  • Salam Dhou,
  • Jacky Judas,
  • Ali Reza Sajun,
  • Brylle Ryan Gomez and
  • Lana Alhaj Hussain

13 January 2022

Camera traps deployed in remote locations provide an effective method for ecologists to monitor and study wildlife in a non-invasive way. However, current camera traps suffer from two problems. First, the images are manually classified and counted, w...

  • Article
  • Open Access
7 Citations
3,985 Views
23 Pages

The application of mass collaboration in different areas of study and work has been increasing over the last few decades. For example, in the education context, this emerging paradigm has opened new opportunities for participatory learning, namely, &...

  • Article
  • Open Access
2 Citations
4,753 Views
31 Pages

Approximator: A Software Tool for Automatic Generation of Approximate Arithmetic Circuits

  • Padmanabhan Balasubramanian,
  • Raunaq Nayar,
  • Okkar Min and
  • Douglas L. Maskell

Approximate arithmetic circuits are an attractive alternative to accurate arithmetic circuits because they have significantly reduced delay, area, and power, albeit at the cost of some loss in accuracy. By keeping errors due to approximate computatio...

  • Article
  • Open Access
54 Citations
7,202 Views
14 Pages

Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches

  • Dillip Ranjan Nayak,
  • Neelamadhab Padhy,
  • Pradeep Kumar Mallick,
  • Dilip Kumar Bagal and
  • Sachin Kumar

Deep learning has surged in popularity in recent years, notably in the domains of medical image processing, medical image analysis, and bioinformatics. In this study, we offer a completely autonomous brain tumour segmentation approach based on deep n...

  • Article
  • Open Access
9 Citations
3,431 Views
19 Pages

The problem of the electrical characterization of single-phase transformers is addressed in this research through the application of the crow search algorithm (CSA). A nonlinear programming model to determine the series and parallel impedances of the...

  • Article
  • Open Access
7 Citations
3,496 Views
13 Pages

Melanoma Detection in Dermoscopic Images Using a Cellular Automata Classifier

  • Benjamín Luna-Benoso,
  • José Cruz Martínez-Perales,
  • Jorge Cortés-Galicia,
  • Rolando Flores-Carapia and
  • Víctor Manuel Silva-García

Any cancer type is one of the leading death causes around the world. Skin cancer is a condition where malignant cells are formed in the tissues of the skin, such as melanoma, known as the most aggressive and deadly skin cancer type. The mortality rat...

  • Article
  • Open Access
27 Citations
10,941 Views
17 Pages

Manufacturing industries based on Internet of Things (IoT) technologies play an important role in the economic development of intelligent agriculture and watering. Water availability has become a global problem that afflicts many countries, especiall...

  • Review
  • Open Access
21 Citations
13,814 Views
21 Pages

A Review of Intelligent Sensor-Based Systems for Pressure Ulcer Prevention

  • Arlindo Silva,
  • José Metrôlho,
  • Fernando Ribeiro,
  • Filipe Fidalgo,
  • Osvaldo Santos and
  • Rogério Dionisio

31 December 2021

Pressure ulcers are a critical issue not only for patients, decreasing their quality of life, but also for healthcare professionals, contributing to burnout from continuous monitoring, with a consequent increase in healthcare costs. Due to the releva...

  • Article
  • Open Access
2 Citations
3,580 Views
15 Pages

Application of Unsupervised Multivariate Analysis Methods to Raman Spectroscopic Assessment of Human Dental Enamel

  • Iulian Otel,
  • Joao Silveira,
  • Valentina Vassilenko,
  • António Mata,
  • Maria Luísa Carvalho,
  • José Paulo Santos and
  • Sofia Pessanha

28 December 2021

This work explores the suitability of data treatment methodologies for Raman spectra of teeth using multivariate analysis methods. Raman spectra were measured in our laboratory and obtained from control enamel samples and samples with a protective tr...

  • Review
  • Open Access
30 Citations
21,772 Views
29 Pages

A Review of Urdu Sentiment Analysis with Multilingual Perspective: A Case of Urdu and Roman Urdu Language

  • Ihsan Ullah Khan,
  • Aurangzeb Khan,
  • Wahab Khan,
  • Mazliham Mohd Su’ud,
  • Muhammad Mansoor Alam,
  • Fazli Subhan and
  • Muhammad Zubair Asghar

27 December 2021

Research efforts in the field of sentiment analysis have exponentially increased in the last few years due to its applicability in areas such as online product purchasing, marketing, and reputation management. Social media and online shopping sites h...

  • Article
  • Open Access
13 Citations
8,529 Views
12 Pages

Learn2Write: Augmented Reality and Machine Learning-Based Mobile App to Learn Writing

  • Md. Nahidul Islam Opu,
  • Md. Rakibul Islam,
  • Muhammad Ashad Kabir,
  • Md. Sabir Hossain and
  • Mohammad Mainul Islam

27 December 2021

Augmented reality (AR) has been widely used in education, particularly for child education. This paper presents the design and implementation of a novel mobile app, Learn2Write, using machine learning techniques and augmented reality to teach alphabe...

  • Article
  • Open Access
14 Citations
7,125 Views
12 Pages

Markerless Dog Pose Recognition in the Wild Using ResNet Deep Learning Model

  • Srinivasan Raman,
  • Rytis Maskeliūnas and
  • Robertas Damaševičius

24 December 2021

The analysis and perception of behavior has usually been a crucial task for researchers. The goal of this paper is to address the problem of recognition of animal poses, which has numerous applications in zoology, ecology, biology, and entertainment....

  • Article
  • Open Access
15 Citations
6,098 Views
16 Pages

22 December 2021

This paper focuses on the investigation of a new efficient method for solving machine scheduling and sequencing problems. The complexity of production systems significantly affects companies, especially small- and medium-sized enterprises (SMEs), whi...

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Computers - ISSN 2073-431X