Search Results - "Kabir, H. M. Dipu"

Swarm Intelligence in Internet of Medical Things: A Review by Alizadehsani, Roohallah, Roshanzamir, Mohamad, Izadi, Navid Hoseini, Gravina, Raffaele, Kabir, H M Dipu, Nahavandi, Darius, Alinejad-Rokny, Hamid, Khosravi, Abbas, Acharya, U Rajendra, Nahavandi, Saeid, Fortino, Giancarlo

“…Continuous advancements of technologies such as machine-to-machine interactions and big data analysis have led to the internet of things (IoT) making…”
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Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications by Kabir, H. M. Dipu, Khosravi, Abbas, Hosen, Mohammad Anwar, Nahavandi, Saeid

“…Uncertainty quantification plays a critical role in the process of decision making and optimization in many fields of science and engineering. The field has…”
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Kubernetes in IT administration and serverless computing: An empirical study and research challenges by Mondal, Subrota Kumar, Pan, Rui, Kabir, H M Dipu, Tian, Tan, Dai, Hong-Ning

“…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…”
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Aleatory-aware deep uncertainty quantification for transfer learning by Kabir, H M Dipu, Khanam, Sadia, Khozeimeh, Fahime, Khosravi, Abbas, Mondal, Subrota Kumar, Nahavandi, Saeid, Acharya, U Rajendra

“…The user does not have any idea about the credibility of outcomes from deep neural networks (DNN) when uncertainty quantification (UQ) is not employed…”
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NN-based Prediction Interval for Nonlinear Processes Controller by Hosen, Mohammad Anwar, Khosravi, Abbas, Kabir, H. M. Dipu, Johnstone, Michael, Creighton, Douglas, Nahavandi, Saeid, Shi, Peng

“…Neural networks (NNs) are extensively used in modelling, optimization, and control of nonlinear plants. NN-based inverse type point prediction models are…”
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Enhancement of English-Bengali Machine Translation Leveraging Back-Translation by Mondal, Subrota Kumar, Wang, Chengwei, Chen, Yijun, Cheng, Yuning, Huang, Yanbo, Dai, Hong-Ning, Kabir, H. M. Dipu

“…An English-Bengali machine translation (MT) application can convert an English text into a corresponding Bengali translation. To build a better model for this…”
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Generalized Noise Patterns for (N+1)/N-factor Non-linear Down-sampling by Dipu Kabir, H M, Khosravi, Abbas, Nahavandi, Saeid

“…This paper presents generalized noise patterns for (N+1)/N-factor non-linear down-sampling. In linear downsampling of two or three-factor, one sample is kept…”
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Partial Adversarial Training for Neural Network-Based Uncertainty Quantification by Kabir, H. M. Dipu, Khosravi, Abbas, Nahavandi, Saeid, Kavousi-Fard, Abdollah

“…Currently available uncertainty quantification (UQ) neural networks (NNs) are trained through the statistical error minimization. Therefore, NNs perform poorly…”
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Toward security quantification of serverless computing by Ni, Kan, Mondal, Subrota Kumar, Kabir, H M Dipu, Tan, Tian, Dai, Hong-Ning

“…Serverless computing is one of the recent compelling paradigms in cloud computing. Serverless computing can quickly run user applications and services…”
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SpinalNet: Deep Neural Network With Gradual Input by Kabir, H M Dipu, Abdar, Moloud, Khosravi, Abbas, Jalali, Seyed Mohammad Jafar, Atiya, Amir F., Nahavandi, Saeid, Srinivasan, Dipti

“…Deep neural networks (DNNs) have achieved the state-of-the-art (SOTA) performance in numerous fields. However, DNNs need high computation times, and people…”
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ANN-based prediction intervals to forecast labour productivity by Nasirzadeh, Farnad, Kabir, H.M. Dipu, Akbari, Mahmood, Khosravi, Abbas, Nahavandi, Saeid, Carmichael, David G

“…PurposeThis study aims to propose the adoption of artificial neural network (ANN)-based prediction intervals (PIs) to give more reliable prediction of labour…”
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SpinalXNet: Transfer Learning with Modified Fully Connected Layer for X-Ray Image Classification by Kumar, Keshav, Khanam, Sadia, Bhuiyan, Md Mahbub Islam, Qazani, Mohammad Reza Chalak, Mondal, Subrota Kumar, Asadi, Houshyar, Kabir, H M Dipu, Khorsavi, Abbas, Nahavandi, Saeid

“…Over the past year, COVID-19 has become a global pandemic and people across the globe have suffered a lot from this pandemic. The rate of transmitting the…”
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Circular electrodes to reduce the current variation of OTFTs with the drop-casted semiconducting layer by Dipu Kabir, H.M., Ahmed, Zubair, Kariyadan, Remashan, Zhang, Lining, Chan, Mansun

“…[Display omitted] •Drop-casted OSC grains are rectangular-shaped.•Grains are parallel to each other over a small region.•The circular structure averages the…”
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Coil-Shaped Electrodes to Reduce the Current Variation of Drop-Casted OTFTs by Dipu Kabir, H. M., Ahmed, Zubair, Lining Zhang, Mansun Chan

“…Coil-shaped structures are proposed to reduce the impact of variable grain alignment on the drive current of the polycrystalline organic thin-film transi-stors…”
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A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification by Albardi, Feras, Kabir, H M Dipu, Bhuiyan, Md Mahbub Islam, Kebria, Parham M., Khosravi, Abbas, Nahavandi, Saeid

“…This study aims to explore different pre-trained models offered in the Torchvision package which is available in the PyTorch library. And investigate their…”
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Neural Network Training for Uncertainty Quantification Over Time-Range by Kabir, H. M. Dipu, Khosravi, Abbas, Nahavandi, Saeid, Srinivasan, Dipti

“…Traditional uncertainty quantification (UQ) algorithms are mostly developed for a fixed time (term), such as hourly or daily predictions. Although a few UQ…”
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ANN-Based LUBE Model for Interval Prediction of Compressive Strength of Concrete by Akbari, Mahmood, Kabir, H. M. Dipu, Khosravi, Abbas, Nasirzadeh, Farnad

“…This study uses ANN-based lower upper bound estimation (LUBE) method for construction of prediction intervals (PIs) at different confidence levels (CL) for the…”
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An optimised deep learning method for the prediction of dynamic viscosity of MXene-based nanofluid by Qazani, Mohammad Reza Chalak, Aslfattahi, Navid, Kulish, Vladimir, Asadi, Houshyar, Schmirler, Michal, Said, Zafar, Afzal, Asif, Kabir, H. M. Dipu, Arıcı, Müslüm

“…This study designs and develops a new optimised deep learning method to calculate the dynamic viscosity using the temperature and nanoflake concentration. Long…”
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Uncertainty Quantification Neural Network from Similarity and Sensitivity by Dipu Kabir, H M, Khosravi, Abbas, Nahavandi, Darius, Nahavandi, Saeid

“…Uncertainty quantification (UQ) from similar events brings transparency. However, the presence of an irrelevant event may degrade the performance of…”
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Boosting UI Rendering in Android Applications by Mondal, Subrota Kumar, Pei, Yu, Dai, Hong Ning, Dipu Kabir, H M, Sahoo, Jyoti Prakash

“…The Android operating system captures over 86% mobile OS market share and a large number of software developers are keen on developing applications for the…”
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