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  1. No Access

    Article

    Resource allocation problem and artificial intelligence: the state-of-the-art review (2009–2023) and open research challenges

    With the increasing growth of information through smart devices, enhancing the quality of human life necessitates the adoption of various computational paradigms including, cloud, fog, and edge in the Internet...

    Javad Hassannataj Joloudari, Sanaz Mojrian… in Multimedia Tools and Applications (2024)

  2. No Access

    Article

    Machine translation and its evaluation: a study

    Machine translation (namely MT) has been one of the most popular fields in computational linguistics and Artificial Intelligence (AI). As one of the most promising approaches, MT can potentially break the lang...

    Subrota Kumar Mondal, Haoxi Zhang, H. M. Dipu Kabir… in Artificial Intelligence Review (2023)

  3. No Access

    Article

    An optimised deep learning method for the prediction of dynamic viscosity of MXene-based nanofluid

    This study designs and develops a new optimised deep learning method to calculate the dynamic viscosity using the temperature and nanoflake concentration. Long short-term memory (LSTM) has been a candidate as ...

    Mohammad Reza Chalak Qazani… in Journal of the Brazilian Society of Mechan… (2023)

  4. No Access

    Article

    ANN-Based LUBE Model for Interval Prediction of Compressive Strength of Concrete

    This study uses ANN-based lower upper bound estimation (LUBE) method for construction of prediction intervals (PIs) at different confidence levels (CL) for the compressive strength of concrete for the first ti...

    Mahmood Akbari, H. M. Dipu Kabir… in Iranian Journal of Science and Technology,… (2022)

  5. No Access

    Article

    Kubernetes in IT administration and serverless computing: An empirical study and research challenges

    Today’s industry has gradually realized the importance of lifting efficiency and saving costs during the life-cycle of an application. In particular, we see that most of the cloud-based applications and servic...

    Subrota Kumar Mondal, Rui Pan, H M Dipu Kabir, Tan Tian… in The Journal of Supercomputing (2022)

  6. No Access

    Article

    NN-based Prediction Interval for Nonlinear Processes Controller

    Neural networks (NNs) are extensively used in modelling, optimization, and control of nonlinear plants. NN-based inverse type point prediction models are commonly used for nonlinear process control. However, p...

    Mohammad Anwar Hosen, Abbas Khosravi… in International Journal of Control, Automati… (2021)

  7. No Access

    Chapter and Conference Paper

    Deep Imitation Learning: The Impact of Depth on Policy Performance

    This paper investigates the impact of network depth on the performance of imitation learning applied in the development of an end- to-end policy for controlling autonomous cars. The policy generates optimal st...

    Parham M. Kebria, Abbas Khosravi, Syed Moshfeq Salaken… in Neural Information Processing (2018)