• A descriptive human visual cognitive strategy using graph neural network for facial expression recognition 

      Liu, Shuai; Huang, Shichen; Fu, Weina; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      In the period of rapid development on the new information technologies, computer vision has become the most common application of artificial intelligence, which is represented by deep learning in the current society. As ...
    • Design and Development of a Fog-Assisted Elephant Corridor over a Railway Track 

      Mondal, Manash Kumar; Mandal, Riman; Banerjee, Sourav; Biswas, Utpal; Lin, Jerry Chun-Wei; Alfarraj, Osama; Tolba, Amr (Journal article, 2023)
      Elephants are one of the largest animals on earth and are found in forests, grasslands and savannahs in the tropical and subtropical regions of Asia and Africa. A country like India, especially the northeastern region, is ...
    • Design of Distance Assistance System for Intelligent Education by Web-based Applications 

      Yang, Chao; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      In order to improve the quality of distance education and solve the problem of slow data processing of the teaching system, an intelligent distance education assistance system based on WEB is developed in this paper. After ...
    • Dynamic maintenance model for high average-utility pattern mining with deletion operation 

      Wu, Jimmy Ming-Tai; Teng, Qian; Tayeb, Shahab; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      The high average-utility itemset mining (HAUIM) was established to provide a fair measure instead of genetic high-utility itemset mining (HUIM) for revealing the satisfied and interesting patterns. In practical applications, ...
    • EANDC: An explainable attention network based deep adaptive clustering model for mental health treatments 

      Ahmed, Usman; Srivastava, Gautam; Yun, Unil; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      Internet-delivered Psychological Treatment (IDPT) has been shown to be an effective method for improving psychological disorders. Natural language processing (NLP) requires an appropriate set of linguistic features for ...
    • An edge-aided parallel evolutionary privacy-preserving algorithm for Internet of Things 

      Telikani, Akbar; Shahbahrami, Asadollah; Shen, Jun; Gaydadjiev, Georgi; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2023)
      Data sanitization in the context of Internet of Things (IoT) privacy refers to the process of permanently and irreversibly hiding all sensitive information from vast amounts of streaming data. Taking into account the dynamic ...
    • An edge-driven multi-agent optimization model for infectious disease detection 

      Djenouri, Youcef; Srivastava, Gautam; Yazidi, Anis; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      This research work introduces a new intelligent framework for infectious disease detection by exploring various emerging and intelligent paradigms. We propose new deep learning architectures such as entity embedding networks, ...
    • Effective Fuzzy System for Qualifying the Characteristics of Stocks by Random Trading 

      Wu, Mu-En; Syu, Jia-Hao; Lin, Jerry Chun-Wei; Ho, Jan-Ming (Peer reviewed; Journal article, 2021)
      Trading strategies can be divided into two categories; i.e., those with momentum characteristic and those that appear contrarian. The characteristics of trading strategies have been widely studied; however, there has been ...
    • An Efficient Bet-GCN Approach for Link Prediction 

      Saxena, Rahul; Patil, Spandan Pankaj; Verma, Atul Kumar; Jadeja, Mahipal; Vyas, Pranshu; Bhateja, Vikrant; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2023)
      The task of determining whether or not a link will exist between two entities, given the current position of the network, is called link prediction. The study of predicting and analyzing links between entities in a network ...
    • Efficient Chain Structure for High-Utility Sequential Pattern Mining 

      Lin, Jerry Chun-Wei; Li, Yuanfa; Fournier-Viger, Philippe; Djenouri, Youcef; Zhang, Ji (Peer reviewed; Journal article, 2020)
      High-utility sequential pattern mining (HUSPM) is an emerging topic in data mining, which considers both utility and sequence factors to derive the set of high-utility sequential patterns (HUSPs) from the quantitative ...
    • Efficient Method for Mining High Utility Occupancy Patterns Based on Indexed List Structure 

      Kim, Hyeonmo; Ryu, Taewoong; Lee, Chanhee; Kim, Sinyoung; Vo, Bay; Lin, Jerry Chun-Wei; Yun, Unil (Peer reviewed; Journal article, 2023)
      High utility pattern mining has been proposed to improve the traditional support-based pattern mining methods that process binary databases. High utility patterns are discovered by effectively considering the quantity and ...
    • The Efficient Mining of Skyline Patterns from a Volunteer Computing Network 

      Wu, Jimmy Ming-Tai; Teng, Qian; Srivastava, Gautam; Pirouz, Matin; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      In the ever-growing world, the concepts of High-utility Itemset Mining (HUIM) as well as Frequent Itemset Mining (FIM) are fundamental works in knowledge discovery. Several algorithms have been designed successfully. ...
    • Emergent Deep Learning for Anomaly Detection in Internet of Everything 

      Djenouri, Youcef; Djenouri, Djamel; Belhadi, Asma; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      This research presents a new generic deep learning framework for anomaly detection in the Internet of Everything (IoE). It combines decomposition methods, deep neural networks, and evolutionary computation to better detect ...
    • Energy Aware Load Balancing Framework for Smart Grid Using Cloud and Fog Computing 

      Singhal, Saurabh; Athithan, Senthil; Alomar, Madani Abdu; Kumar, Rakesh; Sharma, Bhisham; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2023)
      Data centers are producing a lot of data as cloud-based smart grids replace traditional grids. The number of automated systems has increased rapidly, which in turn necessitates the rise of cloud computing. Cloud computing ...
    • Enhanced sequence labeling based on latent variable conditional random fields 

      Lin, Jerry Chun-Wei; Shao, Yinan; Zhang, Ji; Yun, Unil (Journal article; Peer reviewed, 2020)
      Natural language processing is a useful processing technique of language data, such as text and speech. Sequence labeling represents the upstream task of many natural language processing tasks, such as machine translation, ...
    • Enhancing Security of Health Information Using Modular Encryption Standard in Mobile Cloud Computing 

      Shabbir, Maryam; Shabbir, Ayesha; Iwendi, Celestine; Javed, Abdul Rehman; Rizwan, Muhammad; Herencsar, Norbert; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Despite the numerous and noticeable inherited gains of Mobile Cloud Computing (MCC) in healthcare, its growth is being hindered by privacy and security challenges. Such issues require the utmost urgent attention to realize ...
    • An Ensemble Classifier for Stock Trend Prediction Using Sentence-Level Chinese News Sentiment and Technical Indicators 

      Chen, Chun-Hao; Chen, Po-Yeh; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      In the financial market, predicting stock trends based on stock market news is a challenging task, and researchers are devoted to developing forecasting models. From the existing literature, the performance of the forecasting ...
    • Evaluation of Congestion Aware Social Metrics for Centrality-Based Routing 

      Islam, Muhammad Arshad; Iqbal, Muhammad Azhar; Aleem, Muhammad; Halim, Zahid; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Opportunistic networks utilize pocket switching for routing where each node forwards its messages to a suitable next node. The selection of the forwarder node is crucial for the efficient performance of a routing protocol. ...
    • Evolutionary Trading Signal Prediction Model Optimization based on Chinese News and Technical Indicators in the Internet of Things 

      Chen, Chun-Hao; Shih, Ping; Srivastava, Gautam; Hung, Shih-Ting; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      The Internet of Things technologies are essential in deploying successful IoT-based services, especially in the financial services sector in recent years. Stock market prediction which could also be an IoT-based service ...
    • Exploring Decomposition for Solving Pattern Mining Problems 

      Djenouri, Youcef; Lin, Jerry Chun-Wei; Nørvåg, Kjetil; Ramampiaro, Heri; Yu, Philip S. (Peer reviewed; Journal article, 2021)
      This article introduces a highly efficient pattern mining technique called Clustering-based Pattern Mining (CBPM). This technique discovers relevant patterns by studying the correlation between transactions in the transaction ...