Browsing HVL Open by Author "Lin, Jerry Chun-Wei"
Now showing items 1-20 of 112
-
Abnormal nodes sensing model in regional wireless networks based on convolutional neural network
Xu, Xingkun; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2023)There are some problems in abnormal node sensing in regional wireless networks, such as low sensing accuracy and poor judgment results of abnormal states of sensing nodes. Therefore, this paper develops a method for abnormal ... -
AFD-Net: Apple Foliar Disease multi classification using deep learning on plant pathology dataset
Yadav, Anju; Thakur, Udit; Saxena, Rahul; Pal, Vipin; Bhateja, Vikrant; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)Background Plant diseases significantly affect the crop, so their identification is very important. Correct identification of these diseases is crucial for establishing a good disease control strategy to avoid time and ... -
An AI-Enabled ensemble method for rainfall forecasting using Long-Short term memory
Kanani, Sarth; Patel, Shivam; Gupta, Rajeev Kumar; Jain, Arti; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2023)Rainfall prediction includes forecasting the occurrence of rainfall and projecting the amount of rainfall over the modeled area. Rainfall is the result of various natural phenomena such as temperature, humidity, atmospheric ... -
AlexNet Convolutional Neural Network for Disease Detection and Classification of Tomato Leaf
Chen, Hsing-Chung; Widodo, Agung Mulyo; Wisnujati, Andika; Rahaman, Mosiur; Lin, Jerry Chun-Wei; Chen, Liukui; Weng, Chien-Erh (Peer reviewed; Journal article, 2022)With limited retrieval of reserves and restricted capability in plant pathology, automation of processes becomes essential. All over the world, farmers are struggling to prevent various harm from bacteria or pathogens such ... -
Analytics of high average-utility patterns in the industrial internet of things
Wu, Jimmy Ming-Tai; Li, Zhongcui; Srivastava, Gautam; Yun, Unil; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)Recently, revealing more valuable information except for quantity value for a database is an essential research field. High utility itemset mining (HAUIM) was suggested to reveal useful patterns by average-utility measure ... -
Applications of Wireless Sensor Networks and Internet of Things Frameworks in the Industry Revolution 4.0: A Systematic Literature Review
Majid, Mamoona; Habib, Shaista; Javed, Abdul Rehman; Rizwan, Muhammad; Srivastava, Gautam; Gadekallu, Thippa Reddy; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)The 21st century has seen rapid changes in technology, industry, and social patterns. Most industries have moved towards automation, and human intervention has decreased, which has led to a revolution in industries, named ... -
An artificial intelligence lightweight blockchain security model for security and privacy in IIoT systems
Selvarajan, Shitharth; Srivastava, Gautam; Khadidos, Alaa O.; Khadidos, Adil O.; Baza, Mohamed; Alshehri, Ali; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2023)The Industrial Internet of Things (IIoT) promises to deliver innovative business models across multiple domains by providing ubiquitous connectivity, intelligent data, predictive analytics, and decision-making systems for ... -
Attention-Based Deep Entropy Active Learning Using Lexical Algorithm for Mental Health Treatment
Ahmed, Usman; Mukhiya, Suresh Kumar; Srivastava, Gautam; Lamo, Yngve; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)With the increasing prevalence of Internet usage, Internet-Delivered Psychological Treatment (IDPT) has become a valuable tool to develop improved treatments of mental disorders. IDPT becomes complicated and labor intensive ... -
Bet-GAT: An Efficient Centrality-Based Graph Attention Model for Semi-Supervised Node Classification
Verma, Atul Kumar; Saxena, Rahul; Jadeja, Mahipal; Bhateja, Vikrant; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2023)Graph Neural Networks (GNNs) have witnessed great advancement in the field of neural networks for processing graph datasets. Graph Convolutional Networks (GCNs) have outperformed current models/algorithms in accomplishing ... -
A Bitmap Approach for Mining Erasable Itemsets
Hong, Tzung-Pei; Huang, Wei-Ming; Lan, Guo-Cheng; Chiang, Ming-Chao; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)Erasable-itemset mining is a valuable method of pattern extraction for helping the manager of a factory analyze production planning. The erasable itemsets derived can be considered important production information regarding ... -
Call Auction-Based Energy Management System with Adaptive Subsidy and Dynamic Operating Reserve
Syu, Jia-Hao; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2022)According to the Paris agreement and the European climate law, carbon neutrality should be achieved by 2050. Therefore, the long-term planning of energy production and the development of green energy have become indispensable ... -
cHybriDroid: A Machine Learning-Based Hybrid Technique for Securing the Edge Computing
Maryam, Afifa; Ahmed, Usman; Aleem, Muhammad; Lin, Jerry Chun-Wei; Muhammad Arshad, Islam; Iqbal, Muhammad Azhar (Journal article; Peer reviewed, 2020)Smart phones are an integral component of the mobile edge computing (MEC) framework. Securing the data stored on mobile devices is very crucial for ensuring the smooth operations of cloud services. A growing number of ... -
Cluster-based information retrieval using pattern mining
Djenouri, Youcef; Belhadi, Asma; Djenouri, Djamel; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2020)This paper addresses the problem of responding to user queries by fetching the most relevant object from a clustered set of objects. It addresses the common drawbacks of cluster-based approaches and targets fast, high-quality ... -
A consensus protocol for unmanned aerial vehicle networks in the presence of Byzantine faults
Cheng, Chien-Fu; Srivastava, Gautam; Lin, Jerry Chun-Wei; Lin, Ying-Chen (Peer reviewed; Journal article, 2022)This paper discusses the fault-tolerant consensus problem in Unmanned Aerial Vehicle Networks (UAVNets). In recent years, the applications of UAVNets have become more and more popular. Related applications include aerial ... -
Cross-Dimension Mining Model of Public Opinion Data in Online Education Based on Fuzzy Association Rules
Li, Li-xuan; Huo, Ying; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)The multi-dimensional characteristics of public opinion in online education lead to the difficulty of data cross-dimensional mining. To solve this problem, this paper designs a cross-dimensional data mining model of public ... -
A data-driven approach for twitter hashtag recommendation
Belhadi, Asma; Djenouri, Youcef; Lin, Jerry Chun-Wei; Cano, Alberto (Journal article; Peer reviewed, 2020)This paper addresses the hashtag recommendation problem using high average-utility pattern mining. We introduce a novel framework called PM-HRec (Pattern Mining for Hashtag Recommendation). It consists of two main stages. ... -
A Deep Learning based Feature Entity Relationship Extraction Method for Telemedicine Sensing Big Data
Zheng, Wenkui; Hou, Wei; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)To solve the problem of inaccurate entity extraction caused by low application efficiency and big data noise in telemedicine sensing data, a deep learning-based method for entity relationship extraction in telemedicine big ... -
Deep learning for pedestrian collective behavior analysis in smart cities: A model of group trajectory outlier detection
Belhadi, Asma; Djenouri, Youcef; Srivastava, Gautam; Djenouri, Djamel; Lin, Jerry Chun-Wei; Fortino, Giancarlo (Peer reviewed; Journal article, 2021)This paper introduces a new model to identify collective abnormal human behaviors from large pedestrian data in smart cities. To accurately solve the problem, several algorithms have been proposed in this paper. These can ... -
Deep learning-embedded social internet of things for ambiguity-aware social recommendations
Guo, Zhiwei; Yu, Keping; Li, Yu; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)With the increasing demand of users for personalized social services, social recommendation (SR) has been an important concern in academia. However, current research on SR universally faces two main challenges. On the one ... -
Deep-Attention Model to Analyze Reliable Customers via Federated Learning
Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2021)In this research, we propose a collaborative clustering method where the exchange of raw data is not required. The attention-based model is used with a federated learning framework. The edge devices compute the model updates ...