Energy Modeling of Virtual Machine Replication Schemes with Checkpointing in Data Centers. - Subrota K. Mondal; Jogesh K. Muppala (BDCloud, 2014)

Defects per Million (DPM) Evaluation for a Cloud Dealing with VM Failures Using Checkpointing. - Subrota K. Mondal; Jogesh K. Muppala (DSN, 2014)

Defects Per Million (DPM): A user-oriented perspective of telecommunication systems. - Subrota K. Mondal; Jogesh K. Muppala; Kishor S. Trivedi (GLOBECOM Workshops, 2014)

Energy Modeling of Different Virtual Machine Replication Schemes in a Cloud Data Center. - Subrota K. Mondal; Jogesh K. Muppala (iThings/GreenCom/CPSCom, 2014)

Computing Defects per Million in Cloud Caused by Virtual Machine Failures with Replication. - Subrota K. Mondal; Jogesh K. Muppala; Fumio Machida; Kishor S. Trivedi (PRDC, 2014)

Defects per Million Computation in Service-Oriented Environments. - Subrota K. Mondal; Xiaoyan Yin 002; Jogesh K. Muppala; Javier Alonso Lopez 001; Kishor S. Trivedi (IEEE Trans. Serv. Comput., 2015)

On Boosting Cloud Service Dependability through Optimized Checkpointing. - Subrota K. Mondal; Abadhan Saumya Sabyasachi; Jogesh K. Muppala (ISPDC, 2016)

On Dependability, Cost and Security Trade-Off in Cloud Data Centers. - Subrota K. Mondal; Abadhan Saumya Sabyasachi; Jogesh K. Muppala (PRDC, 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)

Change-Based Test Script Maintenance for Android Apps. - Nana Chang; Linzhang Wang; Yu Pei 001; Subrota K. Mondal; Xuandong Li (QRS, 2018)

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)

Forecasting cryptocurrency price using convolutional neural networks with weighted and attentive memory channels. - Zhuorui Zhang; Hong-Ning Dai; Junhao Zhou; Subrota Kumar Mondal; Miguel Martinez-Garcia; Hao Wang 003 (Expert Syst. Appl., 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)

A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities. - Yisheng Song 003; Ting Wang 001; Subrota K. Mondal; Jyoti Prakash Sahoo (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)

BLB-gcForest: A High-Performance Distributed Deep Forest With Adaptive Sub-Forest Splitting. - Zexi Chen; Ting Wang 001; Haibin Cai; Subrota Kumar Mondal; Jyoti Prakash Sahoo (IEEE Trans. Parallel Distributed Syst., 2022)

Reference-Based Line Drawing Colorization Through Diffusion Model. - Jiaze He; Wenqing Zhao; Ziruo Li; Jin Huang; Ping Li 016; Lei Zhu 003; Bin Sheng 001; Subrota Kumar Mondal (CGI, 2023)

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)

A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities. - Yisheng Song 003; Ting Wang 001; Puyu Cai; Subrota K. Mondal; Jyoti Prakash Sahoo (ACM Comput. Surv., 2023)

Reinforcement learning-driven deep question generation with rich semantics. - Menghong Guan; Subrota Kumar Mondal; Hong-Ning Dai; Haiyong Bao (Inf. Process. Manag., 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)

Toward Automatic Number Plate Recognition: A Deep Learning Based Study for Macau. - Fansong Dai; Subrota Kumar Mondal (SSE, 2024)

On Optimization of Traditional Chinese Character Recognition. - Yanbo Huang; Subrota Kumar Mondal; Yuning Cheng; Chengwei Wang (SSE, 2024)

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

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)