| A lightweight QRS detector for single lead ECG signals using a max-min difference algorithm D Pandit, L Zhang, C Liu, S Chattopadhyay, N Aslam, CP Lim Computer methods and programs in biomedicine 144, 61-75, 2017 | 102 | 2017 |
| A scattering and repulsive swarm intelligence algorithm for solving global optimization problems D Pandit, L Zhang, S Chattopadhyay, CP Lim, C Liu Knowledge-Based Systems 156, 12-42, 2018 | 62 | 2018 |
| Classifier ensemble reduction using a modified firefly algorithm: An empirical evaluation L Zhang, W Srisukkham, SC Neoh, CP Lim, D Pandit Expert Systems with Applications 93, 395-422, 2018 | 61 | 2018 |
| Resource allocation in cloud using simulated annealing D Pandit, S Chattopadhyay, M Chattopadhyay, N Chaki 2014 Applications and Innovations in Mobile Computing (AIMoC), 21-27, 2014 | 48 | 2014 |
| Noise reduction in ECG signals using wavelet transform and dynamic thresholding D Pandit, L Zhang, C Liu, N Aslam, S Chattopadhyay, CP Lim Emerging trends in neuro engineering and neural computation, 193-206, 2017 | 20 | 2017 |
| Improved abnormality detection from raw ECG signals using feature enhancement SC Diptangshu Pandit, Li Zhang, Nauman Aslam, Changyu Liu Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2016 …, 2016 | 17* | 2016 |
| An efficient abnormal beat detection scheme from ECG signals using neural network and ensemble classifiers D Pandit, L Zhang, N Aslam, C Liu, A Hossain, S Chattopadhyay The 8th international conference on software, knowledge, information …, 2014 | 17 | 2014 |
| Heartbeat abnormality detection using machine learning models and rate variability (HRV) data P Vyas, D Pandit Preprints, 2018 | 5 | 2018 |
| Automated Heartbeat Abnormality Detection Using Realtime R-Assisted Lightweight Feature Extraction Algorithm D Pandit, C Liu, L Zhang Preprints, 2018 | 2 | 2018 |
| Novel Class Detection Using Hybrid Ensemble D Pandit, L Zhang, K Mistry, R Jiang 2020 International Conference on Machine Learning and Cybernetics (ICMLC …, 2020 | 1 | 2020 |
| An Explainable AI Tool for Operational Risks Evaluation of AI Systems for SMEs TA Han, D Pandit, S Joneidy, MM Hasan, J Hossain, MH Tania, ... 2023 15th International Conference on Software, Knowledge, Information …, 2023 | | 2023 |
| A Framework for Realistic Virtual Representation for Immersive Training Environments. C Plumb, F Rahimian, D Pandit, H Thomas, N Clark 23rd International Conference on Construction Applications of Virtual …, 2023 | | 2023 |
| Multi-Aspectual Knowledge Elicitation for Procurement Optimization in a Warehouse Company FRF Mtope, S Joneidy, D Pandit, F Rah 23rd International Conference on Construction Applications of Virtual …, 2023 | | 2023 |
| Chapter Multi-Aspectual Knowledge Elicitation for Procurement Optimization in a Warehouse Company F Mtope, F Romuald, S Joneidy, D Pandit, F Pour Rahimian Firenze University Press, 2023 | | 2023 |
| Chapter A Framework for Realistic Virtual Representation for Immersive Training Environments. C Plumb, H Thomas, N Clark, F Pour Rahimian, D Pandit Firenze University Press, 2023 | | 2023 |
| The Web of Things Ecosystem A Saha, M Jana, C Chowdhury, S Biswas, D Pandit Smart Connected World: Technologies and Applications Shaping the Future, 47-69, 2021 | | 2021 |
| Intelligent ECG processing and abnormality detection using adaptive ensemble models D Pandit PQDT-Global, 2017 | | 2017 |
| Hyper object data model: A simple data model for handling semi-structured data D Pandit, N Chaki, S Chattopadhyay Emerging Trends in Computing and Communication: ETCC 2014, March 22-23, 2014 …, 2014 | | 2014 |
| Caslon Chua Chethana Chandrasiri Chien-Sing Lee C Kosal, AS Trisha, A Sangodiah, A Prokhorchenko, A Risfandini, ... | | |
| Multi-Aspectual Knowledge Elicitation Framework for Machine Learning-Based Business Process Optimization: Case Study in a Food Warehouse Company FRF Mtope, S Joneidy, D Pandit, F Rahimian Available at SSRN 4502470, 0 | | |
Li ZhangReader, Royal Holloway, University of London, UKVerified email at rhul.ac.uk
