Mathematical Problems in Engineering

Advancements in Mathematical Methods for Pattern Recognition and its Applications


Publishing date
01 Dec 2018
Status
Published
Submission deadline
27 Jul 2018

1UET Taxila, Taxila, Pakistan

2University of Oxford, Oxford, UK

3Kuwait University, Kuwait City, Kuwait

4University of East London, London, UK


Advancements in Mathematical Methods for Pattern Recognition and its Applications

Description

Pattern Recognition is one of the most significant abilities in human beings and intelligent machines and part of the broader area of Artificial Intelligence (AI). Pattern recognition deals with the ability of intelligence of machines for environmental perception while other branches of AI deals with cognition (including reasoning, knowledge engineering, and language understanding). Both pattern Recognition and AI are used to design intelligent systems like the perceptron process exploiting knowledge to solve ambiguities in recognition. Therefore, a growing interest has been observed in the application of mathematical methods and tools for pattern recognition problems. These mathematical models and tools for pattern recognition are also heavily used to solve engineering problems nowadays. The scope of pattern recognition includes the statistical and structural pattern classification, Artificial Neural Networks, Kernel Methods, ensemble methods, unsupervised learning, feature extraction and selection, data preprocessing methods, applications in information retrieval, social media analysis, medical imaging, video surveillance, intelligent transportation.

The mathematical models for pattern recognition and its applications have seen tremendous growth in recent years. Moreover, advancements in neural networks and deep learning have brought improvements in many fields like image processing, decision-making, speech processing and text classification, and so on. This special issue aims at bringing together researchers, engineers, and interested pioneers from both academia and industry to report on, review, and exchange the latest progress, particularly new ideas, methods, and innovative applications of pattern recognition. We welcome papers focused on theoretical studies, practical applications, solutions to engineering problems, and experimental prototypes.

Potential topics include but are not limited to the following:

  • Mathematical methods for pattern classification
  • Deep machine learning for pattern recognition
  • Mathematical methods for feature extraction and selection
  • Pattern recognition algorithms/mathematical formulation for decision-making, predictions, and recommender systems for big data
  • Intelligent pattern recognition algorithms for Image and video detection
  • Applications in text categorization, document analysis, social media analysis, data mining, intelligent transportation, and robotics for engineering problems
  • Heuristics algorithms of pattern recognition to solve complex NP hard or soft optimization problems, for example, multiagent systems, coalition formation, and coalition structure generation in multiagent systems

Articles

  • Special Issue
  • - Volume 2018
  • - Article ID 7586417
  • - Research Article

Egocentric Video Summarization Based on People Interaction Using Deep Learning

Humaira A. Ghafoor | Ali Javed | ... | Ameen Banjar
  • Special Issue
  • - Volume 2018
  • - Article ID 3875082
  • - Research Article

Improved Cost-Sensitive Support Vector Machine Classifier for Breast Cancer Diagnosis

Na Liu | Jiang Shen | ... | Bo Gao
  • Special Issue
  • - Volume 2018
  • - Article ID 4707954
  • - Research Article

3D Face Recognition based on Local Conformal Parameterization and Iso-Geodesic Stripes Analysis

Chenlei Lv | Junli Zhao
  • Special Issue
  • - Volume 2018
  • - Article ID 6734923
  • - Research Article

A Mechanism for Recognizing and Suppressing the Emergent Behavior of UAV Swarm

Qiang Liu | Ming He | ... | Yong Wang
  • Special Issue
  • - Volume 2018
  • - Article ID 6025680
  • - Research Article

The Improved Combination Rule of D Numbers and Its Application in Radiation Source Identification

Xin Guan | Haiqiao Liu | ... | Jing Zhao
  • Special Issue
  • - Volume 2018
  • - Article ID 9632569
  • - Research Article

Ensemble Learning Based Multiple Kernel Principal Component Analysis for Dimensionality Reduction and Classification of Hyperspectral Imagery

Hamidullah Binol
  • Special Issue
  • - Volume 2018
  • - Article ID 7529286
  • - Research Article

An Integrated Deep Generative Model for Text Classification and Generation

Zheng Wang | Qingbiao Wu
  • Special Issue
  • - Volume 2018
  • - Article ID 5105709
  • - Research Article

A Stacked Autoencoder-Based Deep Neural Network for Achieving Gearbox Fault Diagnosis

Guifang Liu | Huaiqian Bao | Baokun Han
  • Special Issue
  • - Volume 2018
  • - Article ID 6290498
  • - Research Article

Automatic Recognition of Asphalt Pavement Cracks Based on Image Processing and Machine Learning Approaches: A Comparative Study on Classifier Performance

Nhat-Duc Hoang | Quoc-Lam Nguyen
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate27%
Submission to final decision64 days
Acceptance to publication34 days
CiteScore1.800
Journal Citation Indicator0.400
Impact Factor1.305
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