A Theory of Loss-less Compression of High Quality Speech Signals with Comparison. - Hussain Mohammed Dipu Kabir; Syed Bahauddin Alam; Md. Isme Azam; Md Rishad Ahmed; Md. Riazul Islam; M. Asif-Ul-Hoque; Md. Abdul Matin (EMS, 2010)

Non-linear Down-sampling and Signal Reconstruction, without Folding. - Hussain Mohammed Dipu Kabir; Syed Bahauddin Alam; Md. Isme Azam; Mohammad Arafat Hussain; A. B. M. Rafi Sazzad; Md. Nazmus Sakib; Md. Abdul Matin (EMS, 2010)

Prediction interval with examples of similar pattern and prediction strength. - Hussain Mohammed Dipu Kabir; Mohammad Anwar Hosen; Saeid Nahavandi; Abbas Khosravi (CCECE, 2017)

A Resilient Auction Framework for Deadline-Aware Jobs in Cloud Spot Market. - Abadhan Saumya Sabyasachi; Hussain Mohammed Dipu Kabir; Ahmed Mohamed Abdelmoniem; Subrota Kumar Mondal (SRDS, 2017)

A frequency multiplier using three ambipolar graphene transistors. - Hussain Mohammed Dipu Kabir; S. M. Salahuddin (Microelectron. J., 2017)

Deep Imitation Learning: The Impact of Depth on Policy Performance. - Parham M. Kebria; Abbas Khosravi; Syed Moshfeq Salaken; Ibrahim Hossain; Hussain Mohammed Dipu Kabir; Afsaneh Koohestani; Roohallah Alizadehsani; Saeid Nahavandi (ICONIP (1), 2018)

Weighted Autocorrelation based Prediction Interval Optimization for Wind Power Generation. - Hussain Mohammed Dipu Kabir; Mohammad Anwar Hosen; Abbas Khosravi; Saeid Nahavandi (IJCNN, 2018)

Partial Adversarial Training for Prediction Interval. - Hussain Mohammed Dipu Kabir; Abbas Khosravi; Mohammad Anwar Hosen; Saeid Nahavandi (IJCNN, 2018)

Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications. - Hussain Mohammed Dipu Kabir; Abbas Khosravi; Mohammad Anwar Hosen; Saeid Nahavandi (IEEE Access, 2018)

Probability Density Computation Neural Network for Time Series Data. - Hussain Mohammed Dipu Kabir; Parham M. Kebria; Abbas Khosravi; Saeid Nahavandi (CloudCom, 2019)

Probability Density for Amazon Spot Instance Price. - Hussain Mohammed Dipu Kabir; Abbas Khosravi; Mohammad Anwar Hosen; Saeid Nahavandi; Rajkumar Buyya (ICIT, 2019)

A Cloud Bidding Framework for Deadline Constrained Jobs. - Hussain Mohammed Dipu Kabir; Abadhan Saumya Sabyasachi; Abbas Khosravi; Mohammad Anwar Hosen; Saeid Nahavandi; Rajkumar Buyya (ICIT, 2019)

Evaluating Architecture Impacts on Deep Imitation Learning Performance for Autonomous Driving. - Parham M. Kebria; Roohallah Alizadehsani; Syed Moshfeq Salaken; Ibrahim Hossain; Abbas Khosravi; Hussain Mohammed Dipu Kabir; Afsaneh Koohestani; Houshyar Asadi; Saeid Nahavandi; Edward W. Tunstel; Mehrdad Saif (ICIT, 2019)

Generalized Noise Patterns for (N+1)/N-factor Non-linear Down-sampling. - Hussain Mohammed Dipu Kabir; Abbas Khosravi; Saeid Nahavandi (SMC, 2019)

Polycrystalline transistor with multiple thresholds. - Hussain Mohammed Dipu Kabir; Mansun Chan (Microelectron. J., 2019)

Uncertainty Quantification Neural Network from Similarity and Sensitivity. - Hussain Mohammed Dipu Kabir; Abbas Khosravi; Darius Nahavandi; Saeid Nahavandi (IJCNN, 2020)

Boosting UI Rendering in Android Applications. - Subrota Kumar Mondal; Yu Pei 001; Hong-Ning Dai; Hussain Mohammed Dipu Kabir; Jyoti Prakash Sahoo (QRS Companion, 2020)

Autonomous Navigation via Deep Imitation and Transfer Learning: A Comparative Study. - Parham M. Kebria; Abbas Khosravi; Ibrahim Hossain; Navid Mohajer; Hussain Mohammed Dipu Kabir; Seyed Mohammad Jafar Jalali; Darius Nahavandi; Syed Moshfeq Salaken; Saeid Nahavandi; Aurelien Lagrandcourt; Navneet Bhasin (SMC, 2020)

Uncertainty Quantification for the Required Fossil Fuel Generation in a Smart Grid. - Hussain Mohammed Dipu Kabir; Abbas Khosravi; Md Shihanur Rahman; Mohammad Anwar Hosen; Saeid Nahavandi (IJCNN, 2021)

A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification. - Feras Albardi; Hussain Mohammed Dipu Kabir; Md Mahbub Islam Bhuiyan; Parham M. Kebria; Abbas Khosravi; Saeid Nahavandi (SMC, 2021)

Optimal uncertainty-guided neural network training. - Hussain Mohammed Dipu Kabir; Abbas Khosravi; Abdollah Kavousi-Fard; Saeid Nahavandi; Dipti Srinivasan (Appl. Soft Comput., 2021)

Partial Adversarial Training for Neural Network-Based Uncertainty Quantification. - Hussain Mohammed Dipu Kabir; Abbas Khosravi; Saeid Nahavandi; Abdollah Kavousi-Fard (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Neural Network Training for Uncertainty Quantification Over Time-Range. - Hussain Mohammed Dipu Kabir; Abbas Khosravi; Saeid Nahavandi; Dipti Srinivasan (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis. - Sadia Khanam; Mohammad Reza Chalak Qazani; Subrota Kumar Mondal; Hussain Mohammed Dipu Kabir; Abadhan Saumya Sabyasachi; Houshyar Asadi; Keshav Kumar; Farzin Tabarsinezhad; Shady M. K. Mohamed; Abbas Khosravi; Saeid Nahavandi (SMC, 2022)

Aleatory-aware deep uncertainty quantification for transfer learning. - Hussain Mohammed Dipu Kabir; Sadia Khanam; Fahime Khozeimeh; Abbas Khosravi; Subrota Kumar Mondal; Saeid Nahavandi; U. Rajendra Acharya (Comput. Biol. Medicine, 2022)

Resource allocation optimization using artificial intelligence methods in various computing paradigms: A Review. - Javad Hassannataj Joloudari; Roohallah Alizadehsani; Issa Nodehi; Sanaz Mojrian; Fatemeh Fazl; Sahar Khanjani Shirkharkolaie; Hussain Mohammed Dipu Kabir; Ru-San Tan; U. Rajendra Acharya (CoRR, 2022)

Uncertainty-aware Decisions in Cloud Computing: Foundations and Future Directions. - Hussain Mohammed Dipu Kabir; Abbas Khosravi; Subrota Kumar Mondal; Mustaneer Rahman; Saeid Nahavandi; Rajkumar Buyya (ACM Comput. Surv., 2022)

Kubernetes in IT administration and serverless computing: An empirical study and research challenges. - Subrota Kumar Mondal; Rui Pan; Hussain Mohammed Dipu Kabir; Tan Tian; Hong-Ning Dai (J. Supercomput., 2022)

Uncertainty Aware Neural Network from Similarity and Sensitivity. - Hussain Mohammed Dipu Kabir; Subrota Kumar Mondal; Sadia Khanam; Abbas Khosravi; Shafin Rahman; Mohammad Reza Chalak Qazani; Roohallah Alizadehsani; Houshyar Asadi; Shadi Mohamed; Saeid Nahavandi; U. Rajendra Acharya (CoRR, 2023)

Swarm Intelligence in Internet of Medical Things: A Review. - Roohallah Alizadehsani; Mohamad Roshanzamir; Navid Hoseini Izadi; Raffaele Gravina; Hussain Mohammed Dipu Kabir; Darius Nahavandi; Hamid Alinejad-Rokny; Abbas Khosravi; U. Rajendra Acharya; Saeid Nahavandi; Giancarlo Fortino (Sensors, 2023)

Machine translation and its evaluation: a study. - Subrota Kumar Mondal; Haoxi Zhang; Hussain Mohammed Dipu Kabir; Kan Ni; Hong-Ning Dai (Artif. Intell. Rev., 2023)

SpinalNet: Deep Neural Network With Gradual Input. - Hussain Mohammed Dipu Kabir; Moloud Abdar; Abbas Khosravi; Seyed Mohammad Jafar Jalali; Amir F. Atiya; Saeid Nahavandi; Dipti Srinivasan (IEEE Trans. Artif. Intell., 2023)

Transfer learning with spinally shared layers. - Hussain Mohammed Dipu Kabir; Subrota Kumar Mondal; Syed Bahauddin Alam; U. Rajendra Acharya (Appl. Soft Comput., 2024)

Resource allocation problem and artificial intelligence: the state-of-the-art review (2009-2023) and open research challenges. - Javad Hassannataj Joloudari; Sanaz Mojrian; Hamid Saadatfar; Issa Nodehi; Fatemeh Fazl; Sahar Khanjani Shirkharkolaie; Roohallah Alizadehsani; Hussain Mohammed Dipu Kabir; Ru-San Tan; U. Rajendra Acharya (Multim. Tools Appl., 2024)

Uncertainty aware neural network from similarity and sensitivity. - Hussain Mohammed Dipu Kabir; Subrota Kumar Mondal; Sadia Khanam; Abbas Khosravi; Shafin Rahman; Mohammad Reza Chalak Qazani; Roohallah Alizadehsani; Houshyar Asadi; Shady M. K. Mohamed; Saeid Nahavandi; U. Rajendra Acharya (Appl. Soft Comput., 2024)

Toward security quantification of serverless computing. - Kan Ni; Subrota Kumar Mondal; Hussain Mohammed Dipu Kabir; Tan Tian; Hong-Ning Dai (J. Cloud Comput., 2024)

A Comprehensive Exploration of 6G Wireless Communication Technologies. - Md Nurul Absar Siddiky; Muhammad Enayetur Rahman; Md Shahriar Uzzal; Hussain Mohammed Dipu Kabir (Comput., 2025)

On English-Chinese Neural Machine Translation leveraging Transformer model. - Subrota Kumar Mondal; Yijun Chen; Yuning Cheng; Hong-Ning Dai; Syed B. Alam; Hussain Mohammed Dipu Kabir (Nat. Lang. Process. J., 2025)

Batch Augmentation with Unimodal Fine-tuning for Multimodal Learning. - Hussain Mohammed Dipu Kabir; Subrota Kumar Mondal; Mohammad Ali Moni (CoRR, 2025)