Publications

140 / 3,739 publications found.


  •  Wang, B., "Induction Motor Fault Classification with Topological Data Analysis", IEEE Energy Conversion Congress and Exposition (ECCE), October 2024.
    BibTeX TR2024-145 PDF
    • @inproceedings{Wang2024oct,
    • author = {Wang, Bingnan}},
    • title = {Induction Motor Fault Classification with Topological Data Analysis},
    • booktitle = {IEEE Energy Conversion Congress and Exposition (ECCE)},
    • year = 2024,
    • month = oct,
    • url = {https://www.merl.com/publications/TR2024-145}
    • }
  •  Giacomuzzo, G., Dalla Libera, A., Romeres, D., Carli, R., "A Black-Box Physics-Informed Estimator based on Gaussian Process Regression for Robot Inverse Dynamics Identification", IEEE Transaction on Robotics, August 2024.
    BibTeX TR2024-077 PDF
    • @article{Giacomuzzo2024aug2,
    • author = {{Giacomuzzo, Giulio and Dalla Libera, Alberto and Romeres, Diego and Carli, Ruggero}},
    • title = {A Black-Box Physics-Informed Estimator based on Gaussian Process Regression for Robot Inverse Dynamics Identification},
    • journal = {IEEE Transaction on Robotics},
    • year = 2024,
    • month = aug,
    • url = {https://www.merl.com/publications/TR2024-077}
    • }
  •  Wang, B., Lin, C., Inoue, H., Kanemaru, M., "Induction Motor Eccentricity Fault Detection and Quantification using Topological Data Analysis", IEEE Access, DOI: 10.1109/​ACCESS.2024.3376249, Vol. 12, pp. 37891-37902, June 2024.
    BibTeX TR2024-063 PDF
    • @article{Wang2024jun,
    • author = {Wang, Bingnan and Lin, Chungwei and Inoue, Hiroshi and Kanemaru, Makoto}},
    • title = {Induction Motor Eccentricity Fault Detection and Quantification using Topological Data Analysis},
    • journal = {IEEE Access},
    • year = 2024,
    • volume = 12,
    • pages = {37891--37902},
    • month = jun,
    • doi = {10.1109/ACCESS.2024.3376249},
    • url = {https://www.merl.com/publications/TR2024-063}
    • }
  •  Lin, C., Wang, B., "Analytical Green’s functions for two-dimensional electrostatics and Boundary-element based solver", Applied Computational Electromagnetics Society Symposium (ACES), May 2024.
    BibTeX TR2024-060 PDF
    • @inproceedings{Lin2024may3,
    • author = {{Lin, Chungwei and Wang, Bingnan}},
    • title = {Analytical Green’s functions for two-dimensional electrostatics and Boundary-element based solver},
    • booktitle = {Applied Computational Electromagnetics Society Symposium (ACES)},
    • year = 2024,
    • month = may,
    • url = {https://www.merl.com/publications/TR2024-060}
    • }
  •  Wang, B., Inoue, H., Kanemaru, M., "Motor Eccentricity Fault Detection: Physics-Based and Data-Driven Approaches", IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED), DOI: 10.1109/​SDEMPED54949.2023.10271414, August 2023, pp. 42-48.
    BibTeX TR2023-107 PDF
    • @inproceedings{Wang2023aug,
    • author = {Wang, Bingnan and Inoue, Hiroshi and Kanemaru, Makoto},
    • title = {Motor Eccentricity Fault Detection: Physics-Based and Data-Driven Approaches},
    • booktitle = {2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)},
    • year = 2023,
    • pages = {42--48},
    • month = aug,
    • publisher = {IEEE},
    • doi = {10.1109/SDEMPED54949.2023.10271414},
    • url = {https://www.merl.com/publications/TR2023-107}
    • }
  •  Zhang, J., Nikovski, D., Kojima, T., "3T-Net: Transformer Encoders for Destination Prediction", The Chinese Control Conference, DOI: 10.23919/​CCC58697.2023.10240616, July 2023.
    BibTeX TR2023-094 PDF Presentation
    • @inproceedings{Zhang2023jul3,
    • author = {Zhang, Jing and Nikovski, Daniel and Kojima, Takuro},
    • title = {3T-Net: Transformer Encoders for Destination Prediction},
    • booktitle = {The Chinese Control Conference},
    • year = 2023,
    • month = jul,
    • doi = {10.23919/CCC58697.2023.10240616},
    • url = {https://www.merl.com/publications/TR2023-094}
    • }
  •  Zhang, J., Nikovski, D., Nakamura, T., "GPU-APUMPEDI: A Parallel Algorithm for Computing Approximate Pan Matrix Profiles of Time Series", International conference on Time Series and Forecasting, July 2023.
    BibTeX TR2023-091 PDF
    • @inproceedings{Zhang2023jul2,
    • author = {Zhang, Jing and Nikovski, Daniel and Nakamura, Takaaki},
    • title = {GPU-APUMPEDI: A Parallel Algorithm for Computing Approximate Pan Matrix Profiles of Time Series},
    • booktitle = {International conference on Time Series and Forecasting},
    • year = 2023,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2023-091}
    • }
  •  Jeon, E.S., Lohit, S., Anirudh, R., Turaga, P., "Robust Time Series Recovery and Classification Using Test-time Noise Simulator Networks", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP49357.2023.10096888, May 2023.
    BibTeX TR2023-021 PDF Presentation
    • @inproceedings{Jeon2023may,
    • author = {Jeon, Eun Som and Lohit, Suhas and Anirudh, Rushil and Turaga, Pavan},
    • title = {Robust Time Series Recovery and Classification Using Test-time Noise Simulator Networks},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2023,
    • month = may,
    • publisher = {IEEE},
    • doi = {10.1109/ICASSP49357.2023.10096888},
    • url = {https://www.merl.com/publications/TR2023-021}
    • }
  •  Sharma, A., Zhang, J., Nikovski, D., Doshi-Velez, F., "Travel-time prediction using neural-network-based mixture models", International Workshop on Statistical Methods and Artificial Intelligence, DOI: 10.1016/​j.procs.2023.03.144, March 2023.
    BibTeX TR2023-012 PDF
    • @inproceedings{Sharma2023mar,
    • author = {Sharma, Abhishek and Zhang, Jing and Nikovski, Daniel and Doshi-Velez, Finale},
    • title = {Travel-time prediction using neural-network-based mixture models},
    • booktitle = {International Workshop on Statistical Methods and Artificial Intelligence},
    • year = 2023,
    • month = mar,
    • doi = {10.1016/j.procs.2023.03.144},
    • url = {https://www.merl.com/publications/TR2023-012}
    • }
  •  Wang, Y., Zhang, J., Nikovski, D., Kojima, T., "Estimating Traffic Density Using Transformer Decoders", International Workshop on Statistical Methods and Artificial Intelligence, DOI: 10.1016/​j.procs.2023.03.143, March 2023.
    BibTeX TR2023-011 PDF
    • @inproceedings{Wang2023mar,
    • author = {Wang, Yinsong and Zhang, Jing and Nikovski, Daniel and Kojima, Takuro},
    • title = {Estimating Traffic Density Using Transformer Decoders},
    • booktitle = {International Workshop on Statistical Methods and Artificial Intelligence},
    • year = 2023,
    • month = mar,
    • doi = {10.1016/j.procs.2023.03.143},
    • url = {https://www.merl.com/publications/TR2023-011}
    • }
  •  Wang, B., Albader, M., Inoue, H., Kanemaru, M., "Induction Motor Eccentricity Fault Analysis and Quantification with Modified Winding Function based Model", International Conference on Electrical Machines and Systems (ICEMS), DOI: 10.1109/​ICEMS56177.2022.9983377, December 2022, pp. 1-6.
    BibTeX TR2022-153 PDF
    • @inproceedings{Wang2022dec,
    • author = {Wang, Bingnan and Albader, Mesaad and Inoue, Hiroshi and Kanemaru, Makoto},
    • title = {Induction Motor Eccentricity Fault Analysis and Quantification with Modified Winding Function based Model},
    • booktitle = {International Conference on Electrical Machines and Systems (ICEMS)},
    • year = 2022,
    • pages = {1--6},
    • month = dec,
    • doi = {10.1109/ICEMS56177.2022.9983377},
    • url = {https://www.merl.com/publications/TR2022-153}
    • }
  •  Wang, B., Lin, C., Inoue, H., Kanemaru, M., "Topological Data Analysis for Electric Motor Eccentricity Fault Detection", Annual Conference of the IEEE Industrial Electronics Society (IECON), DOI: 10.1109/​IECON49645.2022.9968912, October 2022, pp. 1-6.
    BibTeX TR2022-130 PDF
    • @inproceedings{Wang2022oct2,
    • author = {Wang, Bingnan and Lin, Chungwei and Inoue, Hiroshi and Kanemaru, Makoto},
    • title = {Topological Data Analysis for Electric Motor Eccentricity Fault Detection},
    • booktitle = {Annual Conference of the IEEE Industrial Electronics Society (IECON)},
    • year = 2022,
    • pages = {1--6},
    • month = oct,
    • doi = {10.1109/IECON49645.2022.9968912},
    • url = {https://www.merl.com/publications/TR2022-130}
    • }
  •  Tsiligkaridis, A., Zhang, J., Paschalidis, I.C., Taguchi, H., Sakajo, S., Nikovski, D.N., "Context-Aware Destination and Time-To-Destination Prediction Using Machine Learning", IEEE International Smart Cities Conference, DOI: 10.1109/​ISC255366.2022.9922593, September 2022.
    BibTeX TR2022-120 PDF
    • @inproceedings{Tsiligkaridis2022sep,
    • author = {Tsiligkaridis, Athanasios and Zhang, Jing and Paschalidis, Ioannis Ch. and Taguchi, Hiroshi and Sakajo, Satoko and Nikovski, Daniel N.},
    • title = {Context-Aware Destination and Time-To-Destination Prediction Using Machine Learning},
    • booktitle = {IEEE International Smart Cities Conference},
    • year = 2022,
    • month = sep,
    • doi = {10.1109/ISC255366.2022.9922593},
    • url = {https://www.merl.com/publications/TR2022-120}
    • }
  •  Shirsat, A., Sun, H., Kim, K.J., Guo, J., Nikovski, D.N., "ConvEDNet: A Convolutional Energy Disaggregation Network Using Continuous Point-On-Wave Measurements", IEEE PES General Meeting, DOI: 10.1109/​PESGM48719.2022.9916802, July 2022.
    BibTeX TR2022-101 PDF
    • @inproceedings{Shirsat2022jul,
    • author = {Shirsat, Ashwin and Sun, Hongbo and Kim, Kyeong Jin and Guo, Jianlin and Nikovski, Daniel N.},
    • title = {ConvEDNet: A Convolutional Energy Disaggregation Network Using Continuous Point-On-Wave Measurements},
    • booktitle = {2022 IEEE Power \& Energy Society General Meeting (PESGM)},
    • year = 2022,
    • month = jul,
    • doi = {10.1109/PESGM48719.2022.9916802},
    • url = {https://www.merl.com/publications/TR2022-101}
    • }
  •  Jha, D.K., Romeres, D., Yerazunis, W.S., Nikovski, D.N., "Imitation and Supervised Learning of Compliance for Robotic Assembly", European Control Conference (ECC), DOI: 10.23919/​ECC55457.2022.9838102, July 2022, pp. 1882-1889.
    BibTeX TR2022-099 PDF Video
    • @inproceedings{Jha2022jul,
    • author = {Jha, Devesh K. and Romeres, Diego and Yerazunis, William S. and Nikovski, Daniel N.},
    • title = {Imitation and Supervised Learning of Compliance for Robotic Assembly},
    • booktitle = {European Control Conference (ECC)},
    • year = 2022,
    • pages = {1882--1889},
    • month = jul,
    • publisher = {IEEE},
    • doi = {10.23919/ECC55457.2022.9838102},
    • isbn = {978-3-9071-4407-7},
    • url = {https://www.merl.com/publications/TR2022-099}
    • }
  •  Zhang, J., Nikovski, D., "APUMPEDI: Approximating Pan Matrix Profiles of Time Series Under Unnormalized Euclidean Distances by Interpolation", International conference on Time Series and Forecasting (ITISE), June 2022.
    BibTeX TR2022-088 PDF
    • @inproceedings{Zhang2022jun,
    • author = {Zhang, Jing and Nikovski, Daniel},
    • title = {APUMPEDI: Approximating Pan Matrix Profiles of Time Series Under Unnormalized Euclidean Distances by Interpolation},
    • booktitle = {International conference on Time Series and Forecasting (ITISE)},
    • year = 2022,
    • month = jun,
    • url = {https://www.merl.com/publications/TR2022-088}
    • }
  •  Sanfelice, R.G., Di Cairano, S., "Reference Governor for Hybrid Dynamical Systems", American Control Conference (ACC), DOI: 10.23919/​ACC53348.2022.9867303, June 2022.
    BibTeX TR2022-061 PDF
    • @inproceedings{Sanfelice2022jun,
    • author = {Sanfelice, Ricardo G. and Di Cairano, Stefano},
    • title = {Reference Governor for Hybrid Dynamical Systems},
    • booktitle = {American Control Conference (ACC)},
    • year = 2022,
    • month = jun,
    • doi = {10.23919/ACC53348.2022.9867303},
    • url = {https://www.merl.com/publications/TR2022-061}
    • }
  •  Zhang, J., Nikovski, D.N., "Algorithms for Fast Computation of Matrix Profiles of Time Series Under Unnormalized Euclidean Distances", International Conference on Applied Statistics and Data Analytics, April 2022.
    BibTeX TR2022-040 PDF
    • @inproceedings{Zhang2022apr,
    • author = {Zhang, Jing and Nikovski, Daniel N.},
    • title = {Algorithms for Fast Computation of Matrix Profiles of Time Series Under Unnormalized Euclidean Distances},
    • booktitle = {International Conference on Applied Statistics and Data Analytics},
    • year = 2022,
    • month = apr,
    • url = {https://www.merl.com/publications/TR2022-040}
    • }
  •  Zhang, J., Nikovski, D.N., "Algorithms for Fast Computation of Pan Matrix Profiles of Time Series Under Unnormalized Euclidean Distances", International Conference on Applied Statistics and Data Analytics, April 2022.
    BibTeX TR2022-041 PDF
    • @inproceedings{Zhang2022apr3,
    • author = {Zhang, Jing and Nikovski, Daniel N.},
    • title = {Algorithms for Fast Computation of Pan Matrix Profiles of Time Series Under Unnormalized Euclidean Distances},
    • booktitle = {International Conference on Applied Statistics and Data Analytics},
    • year = 2022,
    • month = apr,
    • url = {https://www.merl.com/publications/TR2022-041}
    • }
  •  Laftchiev, E., Romeres, D., Nikovski, D.N., "Dynamic Thermal Comfort Optimization for Groups", American Control Conference (ACC), DOI: 10.23919/​ACC50511.2021.9483191, May 2021.
    BibTeX TR2021-057 PDF
    • @inproceedings{Laftchiev2021may,
    • author = {Laftchiev, Emil and Romeres, Diego and Nikovski, Daniel N.},
    • title = {Dynamic Thermal Comfort Optimization for Groups},
    • booktitle = {American Control Conference (ACC)},
    • year = 2021,
    • month = may,
    • publisher = {IEEE},
    • doi = {10.23919/ACC50511.2021.9483191},
    • issn = {2378-5861},
    • isbn = {978-1-6654-4197-1},
    • url = {https://www.merl.com/publications/TR2021-057}
    • }
  •  Laftchiev, E., Romeres, D., Nikovski, D.N., "Personalizing Individual Comfort in the Group Setting", Innovative Applications of Artificial Intelligence (IAAI), February 2021.
    BibTeX TR2021-011 PDF
    • @inproceedings{Laftchiev2021feb,
    • author = {Laftchiev, Emil and Romeres, Diego and Nikovski, Daniel N.},
    • title = {Personalizing Individual Comfort in the Group Setting},
    • booktitle = {Innovative Applications of Artificial Intelligence (IAAI)},
    • year = 2021,
    • month = feb,
    • url = {https://www.merl.com/publications/TR2021-011}
    • }
  •  Laftchiev, E., Yan, Q., Nikovski, D.N., "The Missing Input Problem", IEEE Big Data, DOI: 10.1109/​BigData50022.2020.9378144, December 2020, pp. 1565-1573.
    BibTeX TR2020-172 PDF
    • @inproceedings{Laftchiev2020dec,
    • author = {Laftchiev, Emil and Yan, Qing and Nikovski, Daniel N.},
    • title = {The Missing Input Problem},
    • booktitle = {IEEE Big Data},
    • year = 2020,
    • pages = {1565--1573},
    • month = dec,
    • publisher = {IEEE},
    • doi = {10.1109/BigData50022.2020.9378144},
    • url = {https://www.merl.com/publications/TR2020-172}
    • }
  •  Tsiligkaridis, A., Zhang, J., Taguchi, H., Nikovski, D.N., "Personalized Destination Prediction Using Transformers in a Contextless Data Setting", IEEE World Congress on Computational Intelligence (WCCI), DOI: 10.1109/​IJCNN48605.2020.9207514, July 2020.
    BibTeX TR2020-112 PDF
    • @inproceedings{Tsiligkaridis2020jul,
    • author = {Tsiligkaridis, Athanasios and Zhang, Jing and Taguchi, Hiroshi and Nikovski, Daniel N.},
    • title = {Personalized Destination Prediction Using Transformers in a Contextless Data Setting},
    • booktitle = {2020 International Joint Conference on Neural Networks (IJCNN)},
    • year = 2020,
    • month = jul,
    • doi = {10.1109/IJCNN48605.2020.9207514},
    • url = {https://www.merl.com/publications/TR2020-112}
    • }
  •  Konno, N., Raghunathan, A., "Data-Driven Joint Optimization of Pricing and Seat Allocation in Trains", International Conference on Railway Engineering Design and Operation (COMPRAIL), DOI: 10.2495/​CR200351, July 2020, pp. 379-392.
    BibTeX TR2020-094 PDF
    • @inproceedings{Konno2020jul2,
    • author = {Konno, Naoto and Raghunathan, Arvind},
    • title = {Data-Driven Joint Optimization of Pricing and Seat Allocation in Trains},
    • booktitle = {International Conference on Railway Engineering Design and Operation (COMPRAIL)},
    • year = 2020,
    • pages = {379--392},
    • month = jul,
    • publisher = {WIT Press},
    • doi = {10.2495/CR200351},
    • url = {https://www.merl.com/publications/TR2020-094}
    • }
  •  Zhang, S., Zhang, S., Wang, B., Habetler, T., "Deep Learning Algorithms for Bearing Fault Diagnostics – A Comprehensive Review", IEEE Access, DOI: 10.1109/​ACCESS.2020.2972859, Vol. 8, pp. 29857-29881, March 2020.
    BibTeX TR2020-034 PDF
    • @article{Zhang2020mar,
    • author = {Zhang, Shen and Zhang, Shibo and Wang, Bingnan and Habetler, Thomas},
    • title = {Deep Learning Algorithms for Bearing Fault Diagnostics – A Comprehensive Review},
    • journal = {IEEE Access},
    • year = 2020,
    • volume = 8,
    • pages = {29857--29881},
    • month = mar,
    • doi = {10.1109/ACCESS.2020.2972859},
    • issn = {2169-3536},
    • url = {https://www.merl.com/publications/TR2020-034}
    • }