Blar i HVL Open på forfatter "Srivastava, Gautam"

Viser treff 21-40 av 56

    • 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, ...

    • 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 ...

    • Interaction of Secure Cloud Network and Crowd Computing for Smart City Data Obfuscation 

      Thirumalaisamy, Manikandan; Basheer, Shajahan; Selvarajan, Shitharth; Althubiti, Sara A.; Alenezi, Fayadh; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      There can be many inherent issues in the process of managing cloud infrastructure and the platform of the cloud. The platform of the cloud manages cloud software and legality issues in making contracts. The platform also ...

    • Intercell Interference Coordination for UAV enabled URLLC with perfect/imperfect CSI using cognitive radio 

      Ranjha, Ali; Javed, Muhammad Awais; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      Ultra-reliable and low latency communications (URLLC) will be the backbone of the upcoming sixth-generation (6G) systems and will facilitate mission-critical scenarios. A design accounting for stringent reliability and ...

    • An IoT-based Hedge System for Solar Power Generation 

      Syu, Jia-Hao; Wu, Mu-En; Srivastava, Gautam; Chao, Chi-Fang; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Environmental protection is an important issue in recent decades, and renewable energy is an ideal solution for eco-friendly power generation. Solar-power generation is a popular renewable energy with low cost and small ...

    • Linguistic frequent pattern mining using a compressed structure 

      Lin, Jerry Chun-Wei; Ahmed, Usman; Srivastava, Gautam; Wu, Jimmy Ming-Tai; Hong, Tzung-Pei; Djenouri, Youcef (Peer reviewed; Journal article, 2021)
      Traditional association-rule mining (ARM) considers only the frequency of items in a binary database, which provides insufficient knowledge for making efficient decisions and strategies. The mining of useful information ...

    • A load balance multi-scheduling model for OpenCL kernel tasks in an integrated cluster 

      Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam; Aleem, Muhammad (Peer reviewed; Journal article, 2020)
      Nowadays, embedded systems are comprised of heterogeneous multi-core architectures, i.e., CPUs and GPUs. If the application is mapped to an appropriate processing core, then these architectures provide many performance ...

    • A Machine-Learning-Based System for Prediction of Cardiovascular and Chronic Respiratory Diseases 

      Shah, Wajid; Aleem, Muhammad; Iqbal, Muhammad Azhar; Islam, Muhammad Arshad; Ahmed, Usman; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Cardiovascular and chronic respiratory diseases are global threats to public health and cause approximately 19 million deaths worldwide annually. This high mortality rate can be reduced with the use of technological ...

    • Mathematical approach of fiber optics for renewable energy sources using general adversarial networks 

      Hasanin, Tawfiq; Manoharan, Hariprasath; Alterazi, Hassan A.; Srivastava, Gautam; Selvarajan, Shitharth; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2023)
      It is significantly more challenging to extend the visibility factor to a higher depth during the development phase of a communication system for subterranean places. Even if there are numerous optical fiber systems that ...

    • Medicine Drug Name Detection Based Object Recognition Using Augmented Reality 

      Rupa, Ch.; Srivastava, Gautam; Ganji, Bharath; Tatiparthi, Sai Praveen; Maddala, Karthik; Koppu, Srinivas; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      Augmented Reality (AR) is an innovation that empowers us in coordinating computerized data into the client's real-world space. It offers an advanced and progressive methodology for medicines, providing medication training. ...

    • Mining Profitable and Concise Patterns in Large-Scale Internet of Things Environments 

      Lin, Jerry Chun-Wei; Djenouri, Youcef; Srivastava, Gautam; Fournier-Viger, Philippe (Peer reviewed; Journal article, 2021)
      In recent years, HUIM (or a.k.a. high-utility itemset mining) can be seen as investigated in an extensive manner and studied in many applications especially in basket-market analysis and its relevant applications. Since ...

    • Mitigating adversarial evasion attacks by deep active learning for medical image classification 

      Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2022)
      In the Internet of Medical Things (IoMT), collaboration among institutes can help complex medical and clinical analysis of disease. Deep neural networks (DNN) require training models on large, diverse patients to achieve ...

    • Mitigating adversarial evasion attacks of ransomware using ensemble learning 

      Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2022)
      Ransomware continues to pose a significant threat to cybersecurity by extorting money from users by locking their devices and personal data. The attackers force the payment of a ransom in order to restore access to personal ...

    • A ML-based resource utilization OpenCL GPU-kernel fusion model 

      Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2022)
      Massive data parallelism can be achieved by using general-purpose graphics processing units (GPGPU) with the help of the OpenCL framework. When smaller data with higher GPU memory is executed, it results in a low resource ...

    • A ML-Based Stock Trading Model for Profit Predication 

      Wu, Jimmy Ming-Tai; Sun, Lingyun; Srivastava, Gautam; Lin, Jerry Chun-Wei (Chapter, 2021)
      This paper uses a new convolutional neural network framework to collect data on leading indicators including historical prices and their futures and options, and use arrays as the input map of the CNN framework for stock ...

    • Multi-aspect detection and classification with multi-feed dynamic frame skipping in vehicle of internet things 

      Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2022)
      Consumer demand for automobiles is changing because of the vehicle’s dependability and utility, and the superb design and high comfort make the vehicle a wealthy object class. The creation of object classes necessitates ...

    • A neuro-evolutionary approach for software defined wireless network traffic classification 

      Pradhan, Buddhadeb; Hussain, Mir Wajahat; Srivastava, Gautam; Debbarma, Mrinal K.; Barik, Rabindra K.; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      Accurate network traffic classification is an essential and challenging issue for wireless network management and survivability. Existing network traffic classification algorithms, on the other hand, cannot meet the required ...

    • A novel synergetic LSTM-GA stock trading suggestion system in Internet of Things 

      Wu, Jimmy Ming-Tai; Sun, Lingyun; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      The Internet of Things (IoT) play an important role in the financial sector in recent decades since several stock prediction models can be performed accurately according to IoT-based services. In real-time applications, ...

    • A nutrient recommendation system for soil fertilization based on evolutionary computation 

      Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam; Djenouri, Youcef (Peer reviewed; Journal article, 2021)
      In agricultural production, soil characteristics play a vital role in maintaining fertility by allowing crops to develop better through root nutrition with minimal energy inputs. Nitrogen (N), Phosphorus (P), and Potassium ...