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• Machine Learning Meets the Semantic Web

  Konstantinos Ilias Kotis, Konstantina Zachila, Evaggelos Paparidis

  63-70

  
  Article ID: 3178
  
  215  (Download)
  

  Abstract: Remarkable progress in research has shown the efficiency of Knowledge Graphs (KGs) in extracting valuable external knowledge in various domains. A Knowledge Graph (KG) can illustrate high-order relations that connect two objects with one or multiple related attributes. The emerging Graph Neural Networks (GNN) can extract both object characteristics and relations from KGs. This paper... More

  2021-06-03

• Research and Analysis of Machine Learning Algorithm in Artificial Intelligence

  Yang Li

  88-91

  
  Article ID: 1801
  
  130  (Download)
  

  Abstract:

  This article firstly explains the concepts of artificial intelligence and algorithm separately, then determines the research status of artificial in-telligence and machine learning in the background of the increasing pop-ularity of artificial intelligence, and finally briefly describes the machine learning algorithm in the field of artificial intelligence, as well as puts for-ward appropriate development prospects,... More

  2020-10-26

• Users’ Evaluation of Traffic Congestion in LTE Networks using Machine Learning Techniques

  Bamidele Moses Kuboye, Adedamola Israel Adedipe, Segun Victor Oloja, Olanrewaju Ayodeji Obolo

  8-24

  
  Article ID: 5452
  
  194  (Download)
  

  Abstract:

  Over time, higher demand for data speed and quality of service by an increasing number of mobile network subscribers has been the major challenge in the telecommunication industry. This challenge is the result of an increasing population of human race and the continuous advancement in mobile communication industry, which has led to network traffic congestion.... More

  2023-04-07

• Elderly Fall Detection by Sensitive Features Based on Image Processing and Machine Learning

  Mohammad Hasan Olyaei, Ali Olyaei, Sumaya Hamidi

  9-16

  
  Article ID: 4419
  
  130  (Download)
  

  Abstract:

  The world’s elderly population is growing every year. It is easy to say that the fall is one of the major dangers that threaten them. This paper offers a Trained Model for fall detection to help the older people live comfortably and alone at home. The purpose of this paper is to investigate appropriate methods... More

  2022-04-11