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Research Article


Applications of Intelligent Systems in Computer Vision

Submission Deadline: 30 August 2021 (closed)


This article has no abstract.


Image segmentation
Bio medical Images
Meta heuristic
Machine Vision
Pattern recognition
Image Fusion
Image De noising
Image Enhancement
Satellite images
Soft computing
  • Research Article

    BEST PAPER 2021

    Autism Spectrum Disorder Prediction by an Explainable Deep Learning Approach

    Anupam Garg1, Anshu Parashar1, Dipto Barman2, Sahil Jain3, Divya Singhal3, Mehedi Masud4, Mohamed Abouhawwash5,6,* CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 1459-1471, 2022, DOI:10.32604/cmc.2022.022170
    Abstract Autism Spectrum Disorder (ASD) is a developmental disorder whose symptoms become noticeable in early years of the age though it can be present in any age group. ASD is a mental disorder which affects the communicational, social and non-verbal behaviors. It cannot be cured completely but can be reduced if detected early. An early diagnosis is hampered by the variation and severity of ASD symptoms as well as having symptoms commonly seen in other mental disorders as well. Nowadays, with the emergence of deep learning approaches in various fields, medical experts can be assisted in early diagnosis of ASD. It… More >

    Graphic Abstract

  • Research Article

    BEST PAPER 2021

    Deep Learning Based Automated Detection of Diseases from Apple Leaf Images

    Swati Singh1, Isha Gupta2, Sheifali Gupta2, Deepika Koundal3,*, Sultan Aljahdali4, Shubham Mahajan5, Amit Kant Pandit5 CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 1849-1866, 2022, DOI:10.32604/cmc.2022.021875
    Abstract In Agriculture Sciences, detection of diseases is one of the most challenging tasks. The mis-interpretations of plant diseases often lead to wrong pesticide selection, resulting in damage of crops. Hence, the automatic recognition of the diseases at earlier stages is important as well as economical for better quality and quantity of fruits. Computer aided detection (CAD) has proven as a supportive tool for disease detection and classification, thus allowing the identification of diseases and reducing the rate of degradation of fruit quality. In this research work, a model based on convolutional neural network with 19 convolutional layers has been proposed… More >

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