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• Machine Learning Meets the Semantic Web

  Konstantinos Ilias Kotis, Konstantina Zachila, Evaggelos Paparidis

  63-70

  
  Article ID: 3178
  1279  (Abstract) 345  (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
  1133  (Abstract) 235  (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

• Inception Residual RNN-LSTM Hybrid Model for Predicting Pension Coverage Trends Among Private-Sector Workers in the USA

  Kaixian Xu, Yiqun Cai, Alan Wilson

  1–9

  
  Article ID: 8704
  199  (Abstract) 37  (Download)
  

  Abstract:

  Pensions are fundamental to financial security in retirement, especially in the U.S., where they play a critical role in ensuring stability for retirees and fostering broader economic benefits. However, predicting pension coverage trends poses significant challenges due to the complexity of labor markets, demographic shifts, and economic variabilities. Traditional statistical models, though foundational, often fail... More

  2025-02-28

• Double-Compressed Artificial Neural Network for Efficient Model Storage in Customer Churn Prediction

  Lisang Zhou, Huitao Zhang, Ning Zhou

  1-12

  
  Article ID: 6377
  424  (Abstract) 337  (Download)
  

  Abstract:

  In the rapidly evolving field of Artificial Intelligence (AI), efficiently storing and managing AI models is crucial, particularly as their complexity and size increase. This paper explores the strategic importance of AI model storage, focusing on performance, cost-efficiency, and scalability within the realm of customer churn prediction, utilizing model compression technologies. Deep learning networks, integral to... More

  2024-04-29

• 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
  437  (Abstract) 447  (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
  421  (Abstract) 256  (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