Faisal Bukhari
Orcid: 0000-0002-7703-9742
  According to our database1,
  Faisal Bukhari
  authored at least 28 papers
  between 2010 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
  2025
DIMA: machine learning based dynamic infrastructure management for containerized applications.
    
  
    Computing, March, 2025
    
  
A multi-scale CNN with atrous spatial pyramid pooling for enhanced chest-based disease detection.
    
  
    PeerJ Comput. Sci., 2025
    
  
    J. Netw. Comput. Appl., 2025
    
  
  2024
Cdascaler: a cost-effective dynamic autoscaling approach for containerized microservices.
    
  
    Clust. Comput., July, 2024
    
  
Enhancing Automated COVID Diagnosis from Chest X-rays using Convolutional Neural Networks and Transfer Learning.
    
  
    Proceedings of the 5th International Conference on Advancements in Computational Sciences, 2024
    
  
  2023
    IEEE Syst. J., June, 2023
    
  
A low-cost unity-based virtual training simulator for laparoscopic partial nephrectomy using HTC Vive.
    
  
    PeerJ Comput. Sci., 2023
    
  
Predicting the Students Involvements and its Impacts on Learning Outcomes Through Online Education During Covid-19.
    
  
    CoRR, 2023
    
  
    Proceedings of the 3rd International Conference on Artificial Intelligence, 2023
    
  
  2022
    Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2022
    
  
  2021
    IEEE Syst. J., 2021
    
  
    J. Inf. Sci., 2021
    
  
    Inf. Technol. Control., 2021
    
  
    Expert Syst. J. Knowl. Eng., 2021
    
  
    Proceedings of the International Conference on Frontiers of Information Technology, 2021
    
  
  2020
Diminishing Returns and Deep Learning for Adaptive CPU Resource Allocation of Containers.
    
  
    IEEE Trans. Netw. Serv. Manag., 2020
    
  
    ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020
    
  
    Sci. Program., 2020
    
  
Deep sentiments in Roman Urdu text using Recurrent Convolutional Neural Network model.
    
  
    Inf. Process. Manag., 2020
    
  
Online Workload Burst Detection for Efficient Predictive Autoscaling of Applications.
    
  
    IEEE Access, 2020
    
  
  2019
    Proceedings of the Intelligent Technologies and Applications, 2019
    
  
Learning Predictive Autoscaling Policies for Cloud-Hosted Microservices Using Trace-Driven Modeling.
    
  
    Proceedings of the 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2019
    
  
  2018
Containers vs Virtual Machines for Auto-scaling Multi-tier Applications Under Dynamically Increasing Workloads.
    
  
    Proceedings of the Intelligent Technologies and Applications, 2018
    
  
  2017
  2015
    Proceedings of the Cloud Computing - 6th International Conference, 2015
    
  
  2013
    J. Math. Imaging Vis., 2013
    
  
  2010
    Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010