Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (3)
  • Open Access


    Efficient Object Detection and Classification Approach Using HTYOLOV4 and M2RFO-CNN

    V. Arulalan*, Dhananjay Kumar

    Computer Systems Science and Engineering, Vol.44, No.2, pp. 1703-1717, 2023, DOI:10.32604/csse.2023.026744

    Abstract Object detection and classification are the trending research topics in the field of computer vision because of their applications like visual surveillance. However, the vision-based objects detection and classification methods still suffer from detecting smaller objects and dense objects in the complex dynamic environment with high accuracy and precision. The present paper proposes a novel enhanced method to detect and classify objects using Hyperbolic Tangent based You Only Look Once V4 with a Modified Manta-Ray Foraging Optimization-based Convolution Neural Network. Initially, in the pre-processing, the video data was converted into image sequences and Polynomial Adaptive Edge was applied to preserve… More >

  • Open Access


    Deep Reinforcement Learning Enabled Smart City Recycling Waste Object Classification

    Mesfer Al Duhayyim1, Taiseer Abdalla Elfadil Eisa2, Fahd N. Al-Wesabi3,4, Abdelzahir Abdelmaboud5, Manar Ahmed Hamza6,*, Abu Sarwar Zamani6, Mohammed Rizwanullah6, Radwa Marzouk7,8

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5699-5715, 2022, DOI:10.32604/cmc.2022.024431

    Abstract The Smart City concept revolves around gathering real time data from citizen, personal vehicle, public transports, building, and other urban infrastructures like power grid and waste disposal system. The understandings obtained from the data can assist municipal authorities handle assets and services effectually. At the same time, the massive increase in environmental pollution and degradation leads to ecological imbalance is a hot research topic. Besides, the progressive development of smart cities over the globe requires the design of intelligent waste management systems to properly categorize the waste depending upon the nature of biodegradability. Few of the commonly available wastes are… More >

  • Open Access


    Research on the Clustering Analysis and Similarity in Factor Space

    Sha-Sha Li1,2,∗, Tie-Jun Cui1,2,3,†, Jian Liu1,2,‡

    Computer Systems Science and Engineering, Vol.33, No.5, pp. 397-404, 2018, DOI:10.32604/csse.2018.33.397

    Abstract In this paper, we study the in uence of multiple domain attributes on the clustering analysis of object based on factor space. The representation method of graphical domain attribute is proposed for the object, which is called attribute circle. An attribute circle can represent infinite domain attributes. The similarity analysis of objects is first based on the concept of attribute circle, and the definition of graphical similarity is transformed into the definition of numerical similarity, and then the clustering analysis method of object set is studied and improved. Considering three kinds of graphical overlap, the analytic solution of similarity is… More >

Displaying 1-10 on page 1 of 3. Per Page  

Share Link