Blar i HVL Open på forfatter "Lin, Jerry Chun-Wei"

Viser treff 41-60 av 112

    • Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem 

      Belhadi, Asma; Djenouri, Youcef; Lin, Jerry Chun-Wei; Zhang, Chongsheng; Cano, Alberto (Journal article; Peer reviewed, 2020)
      Hashtag is an iconic feature to retrieve the hot topics of discussion on Twitter or other social networks. This paper incorporates the pattern mining approaches to improve the accuracy of retrieving the relevant information ...

    • Fast and Accurate Deep Learning Framework for Secure Fault Diagnosis in the Industrial Internet of Things 

      Djenouri, Youcef; Belhadi, Asma; Srivastava, Gautam; Ghosh, Uttam; Chatterjee, Pushpita; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      This paper introduced a new deep learning framework for fault diagnosis in electrical power systems. The framework integrates the convolution neural network and different regression models to visually identify which faults ...

    • Fast and accurate group outlier detection for trajectory data 

      Djenouri, Youcef; Nørvåg, Kjetil; Ramampiaro, Heri; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2020)
      Previous approaches to solve the trajectory outlier detection problem exclusively examine single outliers. However, anomalies in trajectory data may often occur in groups. This paper introduces a new problem, group trajectory ...

    • Feature Extraction for Medical CT Images of Sports Tear Injury 

      Nie, Qi; Zou, Ye-bing; Lin, Jerry Chun-Wei (Journal article; Peer reviewed, 2020)
      Analysis of medical CT images directly affects the accuracy of clinical case diagnosis. Therefore, feature extraction problem of medical CT images is extremely important. A feature extraction algorithm for medical CT images ...

    • FHUQI-Miner: Fast high utility quantitative itemset mining 

      Nouioua, Mourad; Fournier-Viger, Philippe; Wu, Cheng-Wei; Lin, Jerry Chun-Wei; Gan, Wensheng (Peer reviewed; Journal article, 2021)
      High utility itemset mining is a popular pattern mining task, which aims at revealing all sets of items that yield a high profit in a transaction database. Although this task is useful to understand customer behavior, an ...

    • Fuzzy high-utility pattern mining in parallel and distributed Hadoop framework 

      Wu, Jimmy Ming-Tai; Srivastava, Gautam; Wei, Min; Yun, Unil; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Over the past decade, high-utility itemset mining (HUIM) has received widespread attention that can emphasize more critical information than was previously possible using frequent itemset mining (FIM). Unfortunately, HUIM ...

    • A general-purpose distributed pattern mining system 

      Belhadi, Asma; Djenouri, Youcef; Lin, Jerry Chun-Wei; Cano, Alberto (Journal article; Peer reviewed, 2020)
      This paper explores five pattern mining problems and proposes a new distributed framework called DT-DPM: Decomposition Transaction for Distributed Pattern Mining. DT-DPM addresses the limitations of the existing pattern ...

    • Generative Ensemble Learning for Mitigating Adversarial Malware Detection in IoT 

      Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2021)
      This paper proposes a framework that can be employed to mitigate adversarial evasion attacks on Android malware classifiers. It extracts multiple discriminating feature subsets from a single Android app such that each ...

    • A graph-based CNN-LSTM stock price prediction algorithm with leading indicators 

      Wu, Jimmy Ming-Tai; Li, Zhongcui; Herencsar, Norbert; Vo, Bay; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      In today’s society, investment wealth management has become a mainstream of the contemporary era. Investment wealth management refers to the use of funds by investors to arrange funds reasonably, for example, savings, bank ...

    • Heart disease detection based on internet of things data using linear quadratic discriminant analysis and a deep graph convolutional neural network 

      Saikumar, K.; Rajesh, V.; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      Heart disease is an emerging health issue in the medical field, according to WHO every year around 10 billion people are affected with heart abnormalities. Arteries in the heart generate oxygenated blood to all body parts, ...

    • A high-performance, hardware-based deep learning system for disease diagnosis 

      Siddique, Ali; Iqbal, Muhammad Azhar; Aleem, Muhammad; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      Modern deep learning schemes have shown human-level performance in the area of medical science. However, the implementation of deep learning algorithms on dedicated hardware remains a challenging task because modern ...

    • Hybrid intelligent framework for automated medical learning 

      Belhadi, Asma; Djenouri, Youcef; Diaz, Vicente Garcia; Houssein, Essam H.; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      This paper investigates the automated medical learning and proposes hybrid intelligent framework, called Hybrid Automated Medical Learning (HAML). The goal is the efficient combination of several intelligent components in ...

    • Hyper-graph-based attention curriculum learning using a lexical algorithm for mental health 

      Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2022)
      In this paper, we propose a structure hypergraph and an emotional lexicon for word representation. Our method can solve problems related to vocabulary size, grammatical representation of words, and the lack of an emotional ...

    • IDS-INT: Intrusion detection system using transformer-based transfer learning for imbalanced network traffic 

      Ullah, Farhan; Ullah, Shamsher; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2023)
      A network intrusion detection system is critical for cyber security against illegitimate attacks. In terms of feature perspectives, network traffic may include a variety of elements such as attack reference, attack type, ...

    • An Implementation of Trust Chain Framework with Hierarchical Content Identifier Mechanism by Using Blockchain Technology 

      Chen, Hsing-Chung; Irawan, Bambang; Hsu, Pei-Yu; Su, Jhih-Sheng; Lin, Jerry Chun-Wei; Prayitno, Prayitno; Putra, Karisma Trinanda; Damarjati, Cahya; Weng, Chien-Erh; Liang, Yao-Hsien; Chang, Pi-Hsien (Peer reviewed; Journal article, 2022)
      Advances in information technology (IT) and operation technology (OT) accelerate the development of manufacturing systems (MS) consisting of integrated circuits (ICs), modules, and systems, toward Industry 4.0. However, ...

    • Improving Monte Carlo Tree Search with Artificial Neural Networks without Heuristics 

      Cotarelo, Alba; García-Díaz, Vicente; Núñez-Valdez, Edward Rolando; García, Cristian González; Gomez, Alberto; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Monte Carlo Tree Search is one of the main search methods studied presently. It has demonstrated its efficiency in the resolution of many games such as Go or Settlers of Catan and other different problems. There are several ...

    • Incrementally Updating the Discovered High Average-Utility Patterns With the Pre-Large Concept 

      Wu, Jimmy Ming-Tai; Teng, Qian; Lin, Jerry Chun-Wei; Cheng, Chien-Fu (Journal article; Peer reviewed, 2020)
      High average-utility itemset mining (HAUIM) is an extension of high-utility itemset mining (HUIM), which provides a reliable measure to reveal utility patterns by considering the length of the mined pattern. Some research ...

    • Incrementally updating the high average-utility patterns with pre-large concept 

      Lin, Jerry Chun-Wei; Pirouz, Matin; Djenouri, Youcef; Cheng, Chien-Fu; Ahmed, Usman (Peer reviewed; Journal article, 2020)
      High-utility itemset mining (HUIM) is considered as an emerging approach to detect the high-utility patterns from databases. Most existing algorithms of HUIM only consider the itemset utility regardless of the length. This ...

    • Intelligent blockchain management for distributed knowledge graphs in IoT 5G environments 

      Djenouri, Youcef; Srivastava, Gautam; Belhadi, Asma; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      This article introduces a new problem of distributed knowledge graph, in IoT 5G setting. We developed an end-to-end solution for solving such problem by exploring the blockchain management and intelligent method for producing ...

    • Intelligent deep fusion network for urban traffic flow anomaly identification 

      Djenouri, Youcef; Belhadi, Asma; Chen, Hsing-Chung; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      This paper presents a novel deep learning architecture for identifying outliers in the context of intelligent transportation systems. The use of a convolutional neural network with an efficient decomposition strategy is ...