Hussain Mohammed Dipu Kabir

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 36

Top Topics

Probability Density

Imitation Learning

Top Venues

Publications

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
Resource allocation problem and artificial intelligence: the state-of-the-art review (2009-2023) and open research challenges. Multim. Tools Appl. 83 (26) (2024)
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
Uncertainty aware neural network from similarity and sensitivity. Appl. Soft Comput. 149 (Part A) (2024)
Hussain Mohammed Dipu Kabir, Subrota Kumar Mondal, Syed Bahauddin Alam, U. Rajendra Acharya
Transfer learning with spinally shared layers. Appl. Soft Comput. 163 (2024)
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
Uncertainty Aware Neural Network from Similarity and Sensitivity. CoRR (2023)
Hussain Mohammed Dipu Kabir, Moloud Abdar, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan
SpinalNet: Deep Neural Network With Gradual Input. IEEE Trans. Artif. Intell. 4 (5) (2023)
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
Swarm Intelligence in Internet of Medical Things: A Review. Sensors 23 (3) (2023)
Subrota Kumar Mondal, Haoxi Zhang, Hussain Mohammed Dipu Kabir, Kan Ni, Hong-Ning Dai
Machine translation and its evaluation: a study. Artif. Intell. Rev. 56 (9) (2023)
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
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis. CoRR (2022)
Hussain Mohammed Dipu Kabir, Sadia Khanam, Fahime Khozeimeh, Abbas Khosravi, Subrota Kumar Mondal, Saeid Nahavandi, U. Rajendra Acharya
Aleatory-aware deep uncertainty quantification for transfer learning. Comput. Biol. Medicine 143 (2022)
Javad Hassannataj Joloudari, Roohallah Alizadehsani, Issa Nodehi, Sanaz Mojrian, Fatemeh Fazl, Sahar Khanjani Shirkharkolaie, Hussain Mohammed Dipu Kabir, Ru San Tan, U. Rajendra Acharya
Resource allocation optimization using artificial intelligence methods in various computing paradigms: A Review. CoRR (2022)
Subrota Kumar Mondal, Rui Pan, Hussain Mohammed Dipu Kabir, Tan Tian, Hong-Ning Dai
Kubernetes in IT administration and serverless computing: An empirical study and research challenges. J. Supercomput. 78 (2) (2022)
Hussain Mohammed Dipu Kabir, Abbas Khosravi, Saeid Nahavandi, Dipti Srinivasan
Neural Network Training for Uncertainty Quantification Over Time-Range. IEEE Trans. Emerg. Top. Comput. Intell. 5 (5) (2021)
Feras Albardi, Hussain Mohammed Dipu Kabir, Md Mahbub Islam Bhuiyan, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi
A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification. SMC (2021)
Hussain Mohammed Dipu Kabir, Abbas Khosravi, Abdollah Kavousi-Fard, Saeid Nahavandi, Dipti Srinivasan
Optimal uncertainty-guided neural network training. Appl. Soft Comput. 99 (2021)
Hussain Mohammed Dipu Kabir, Abbas Khosravi, Saeid Nahavandi, Abdollah Kavousi-Fard
Partial Adversarial Training for Neural Network-Based Uncertainty Quantification. IEEE Trans. Emerg. Top. Comput. Intell. 5 (4) (2021)
Feras Albardi, Hussain Mohammed Dipu Kabir, Md Mahbub Islam Bhuiyan, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi
A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification. CoRR (2021)
Hussain Mohammed Dipu Kabir, Abbas Khosravi, Subrota Kumar Mondal, Mustaneer Rahman, Saeid Nahavandi, Rajkumar Buyya
Uncertainty-aware Decisions in Cloud Computing: Foundations and Future Directions. ACM Comput. Surv. 54 (4) (2021)
Hussain Mohammed Dipu Kabir, Abbas Khorsavi, Md Shihanur Rahman, Mohammad Anwar Hosen, Saeid Nahavandi
Uncertainty Quantification for the Required Fossil Fuel Generation in a Smart Grid. IJCNN (2021)
Subrota Kumar Mondal, Yu Pei, Hong-Ning Dai, Hussain Mohammed Dipu Kabir, Jyoti Prakash Sahoo
Boosting UI Rendering in Android Applications. QRS Companion (2020)
Hussain Mohammed Dipu Kabir, Abbas Khosravi, Darius Nahavandi, Saeid Nahavandi
Uncertainty Quantification Neural Network from Similarity and Sensitivity. IJCNN (2020)
Hussain Mohammed Dipu Kabir, Moloud Abdar, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan
SpinalNet: Deep Neural Network with Gradual Input. CoRR (2020)
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
Autonomous Navigation via Deep Imitation and Transfer Learning: A Comparative Study. SMC (2020)
Hussain Mohammed Dipu Kabir, Abadhan Saumya Sabyasachi, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi, Rajkumar Buyya
A Cloud Bidding Framework for Deadline Constrained Jobs. ICIT (2019)
Hussain Mohammed Dipu Kabir, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi, Rajkumar Buyya
Probability Density for Amazon Spot Instance Price. ICIT (2019)
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
Evaluating Architecture Impacts on Deep Imitation Learning Performance for Autonomous Driving. ICIT (2019)
Hussain Mohammed Dipu Kabir, Mansun Chan
Polycrystalline transistor with multiple thresholds. Microelectron. J. 83 (2019)
Hussain Mohammed Dipu Kabir, Abbas Khosravi, Saeid Nahavandi
Generalized Noise Patterns for (N+1)/N-factor Non-linear Down-sampling. SMC (2019)
Hussain Mohammed Dipu Kabir, Abbas Khosravi, Abdollah Kavousi-Fard, Saeid Nahavandi, Dipti Srinivasan
Optimal Uncertainty-guided Neural Network Training. CoRR (2019)
Hussain Mohammed Dipu Kabir, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi
Probability Density Computation Neural Network for Time Series Data. CloudCom (2019)
Parham M. Kebria, Abbas Khosravi, Syed Moshfeq Salaken, Ibrahim Hossain, Hussain Mohammed Dipu Kabir, Afsaneh Koohestani, Roohallah Alizadehsani, Saeid Nahavandi
Deep Imitation Learning: The Impact of Depth on Policy Performance. ICONIP (1) (2018)
Hussain Mohammed Dipu Kabir, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi
Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications. IEEE Access 6 (2018)
Hussain Mohammed Dipu Kabir, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi
Partial Adversarial Training for Prediction Interval. IJCNN (2018)
Hussain Mohammed Dipu Kabir, Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi
Weighted Autocorrelation based Prediction Interval Optimization for Wind Power Generation. IJCNN (2018)
Hussain Mohammed Dipu Kabir, Mohammad Anwar Hosen, Saeid Nahavandi, Abbas Khosravi
Prediction interval with examples of similar pattern and prediction strength. CCECE (2017)
Hussain Mohammed Dipu Kabir, S. M. Salahuddin
A frequency multiplier using three ambipolar graphene transistors. Microelectron. J. 70 (2017)
Abadhan Saumya Sabyasachi, Hussain Mohammed Dipu Kabir, Ahmed Mohamed Abdelmoniem, Subrota Kumar Mondal
A Resilient Auction Framework for Deadline-Aware Jobs in Cloud Spot Market. SRDS (2017)
Hussain Mohammed Dipu Kabir, Syed Bahauddin Alam, Md. Isme Azam, Md Rishad Ahmed, Md. Riazul Islam, M. Asif-Ul-Hoque, Md. Abdul Matin
A Theory of Loss-less Compression of High Quality Speech Signals with Comparison. EMS (2010)
Hussain Mohammed Dipu Kabir, Syed Bahauddin Alam, Md. Isme Azam, Mohammad Arafat Hussain, A. B. M. Rafi Sazzad, Md. Nazmus Sakib, Md. Abdul Matin
Non-linear Down-sampling and Signal Reconstruction, without Folding. EMS (2010)