Publications

JCR Articles

2022

  • Shende M., Feijoo A., and Bokde N. (2022). cleanTS: Automated (AutoML) Tool to Clean Univariate Time Series at Microscales. Neurocomputing (IF 5.779). 500, 155-176. DOI: 10.1016/j.neucom.2022.05.057 Time Series Analysis Software Machine Learning AutoML
  • Hashmi A., Mali H., Meena A., Hashmi M. F., and Bokde N. (2022). Surface Characteristics Measurement Using Computer Vision: A Review. Computer Modeling in Engineering and Sciences (IF 2.027). Accepted. DOI: Review Deep Learning Computer Vision
  • Shende M., Salih S., Bokde N., Scholz M., Oudah A., and Yaseen Z. (2022). Natural Time Series Parameters Forecasting: Validation of the Pattern-Sequence-Based Forecasting (PSF) Algorithm; A New Python Package. Applied Sciences (IF 2.838). 12(12), 6194. DOI: 10.3390/app12126194 Time Series Analysis Software Machine Learning Forecasting
  • Salunke S., Ahuja B., Hashmi M. F., Marriboyina V., and Bokde N. (2022). 5D Gauss Map Perspective to Image Encryption with Transfer Learning Validation. Applied Sciences (IF 2.838). 12(11), 5321. DOI: 10.3390/app12115321 Image Encryption Deep Learning Transfer Learning
  • Goutam B., Hashmi M. F., Geem Z. W., and Bokde N. (2022). A Comprehensive Review of Deep Learning Strategies in Retinal Disease Diagnosis Using Fundus Images. IEEE Access (IF 4.098). 10, 57796-57823. DOI: 10.1109/ACCESS.2022.3178372 Review Deep Learning Computer Vision Object Detection Biomedical
  • Naik B., Hashmi M. F., and Bokde N. (2022). A Comprehensive Review of Computer Vision in Sports: Open Issues, Future Trends and Research Directions. Applied Sciences (IF 2.838). 12(9), 4429. DOI: 10.3390/app12094429 Review Sports Computer Vision
  • Shewale A., Mokhade A., Funde N., Bokde N. (2022). A Survey on Efficient Demand Side Management Techniques for Residential Appliance Scheduling problem in Smart Homes. Energies (IF 3.252). 15(8), 2863. DOI: 10.3390/en15082863 Review Energy Optimization Demand Response
  • Tao, H., Bokde N., et al. (2022). Groundwater level prediction with machine and deep learning: a comprehensive review. Neurocomputing (IF 5.779). 489, 271-308. DOI: 10.1016/j.neucom.2022.03.014 Review Deep Learning Machine Learning Prediction
  • Naik B., Hashmi M. F., Geem Z. W., and Bokde N. (2022). DeepPlayer-Track: Player and Referee Tracking with Jersey Color Recognition in Soccer. IEEE Access (IF 4.098), 10, 32494-32509. DOI: 10.1109/ACCESS.2022.3161441 Sports Deep Learning
  • Dandu S., Kumar V., Sengupta J., and Bokde N. (2022). Performance Analysis of Multilayer Coil Based MI Waveguide Communication System. Computers, Materials Continua (IF 3.780), 72(3), 5287-5300. DOI: 10.32604/cmc.2022.026390 Electronics
  • Sharma A., Dongre S., Gupta R., Pandey P., and Bokde N. (2022). Partitioning of Water Distribution Network Accounting Existing Valves. Computer Modeling in Engineering and Sciences (IF 2.027). 131(3), 1515-1537. DOI: 10.32604/cmes.2022.018867 Water Management

2021

  • Hashmi M. F., Ashish B. K., Chaitanya P., Keskar A. G., Salih S., and Bokde N. (2021). GaitVision: Pattern Recognition based Gait Recognition. Complexity (IF 2.833), 2021, Article ID 1589716, 15. DOI: 10.1155/2021/1589716 Sports Deep Learning
  • Sawant M., Shende M., Feijoo A., and Bokde N. (2021). The State-of-the-art Progress in Cloud Detection, Identification, and Tracking Approaches: A Systematic Review. Energies (IF 3.252). 14(23), 8119. DOI: 10.3390/en14238119 Review Clouds detection Object Detection
  • Paliwal V., Ghare A., Mirajkar A., Bokde N., and Yaseen Z. (2021). Proposition of New Metaphor-Less Algorithms for Reservoir Operation. Complexity (IF 2.833), 2021, Article ID 6642986, 11. DOI: 10.1155/2021/6642986 Water Management Optimization
  • Sawant M., Thakare S., Rao P., Feijoo A., and Bokde N. (2021). A review on state-of-the-art reviews in wind turbine and wind farms related topics. Energies (IF 3.252). 14(8), 2041. DOI: 10.3390/en14082041 Review Energy
  • Bokde N., Ali Z., Al-Hadidi M., Farooque A., Jamei M., Maliki A., Beyaztas B., Faris H., and Yaseen Z. (2021). Total Dissolved Salt Prediction Using Neurocomputing Models: Case Study of Gypsum Soil Within Iraq Region. IEEE Access (IF 4.098). 9, 53617-53635. DOI: 10.1109/ACCESS.2021.3071015 Soil Analysis Predictions
  • Gajghate P., Mirajkar A., Shaikh U., Bokde N., Yaseen Z. (2021). Optimization of Layout and Pipe Sizes for Irrigation Pipe Distribution Network using Steiner point concept. Mathematical Problems in Engineering (IF 1.430). vol. 2021, Article ID 6657459, 12 pages. DOI: 10.1155/2021/6657459 Water Management Optimization
  • Hashmi M. F., Ashish B. K., Sharma V., Keskar A. G., Bokde N., Yoon J. H., and Geem Z. W. (2021). LARNet: Real-Time Detection of Facial Micro Expression Using Lossless Attention Residual Network. Sensors (IF 3.847). 21(4), 1098. DOI:10.3390/s21041098 Deep Learning Object Detection
  • Bokde N., Tranberg B., and Andresen G. B. (2021). Short-term CO2 emissions forecasting based on decomposition approaches and its impact on electricity market scheduling. Applied Energy (IF 11.446). 281, 116061. Preprint DOI: 10.1016/j.apenergy.2020.116061 Energy Emissions Forecasting
  • Pandey P., Bokde N., Dongre S., and Gupta R. (2021). Hybrid models for water demand forecasting. Journal of Water Resources Planning and Management (IF 3.457). 147(2), 04020106. DOI: 10.1061/(ASCE)WR.1943-5452.0001331 Water Management Forecasting
  • Ehteram M., Ferdowsi A., Faramarzpour M., Sami Al-Janabi M. A., Ansari N. A., Bokde N., and Yaseen Z. M. (2021). Hybridization of artificial intelligence models with nature inspired optimization algorithms for lake water level prediction and uncertainty analysis. Alexandria Engineering Journal (IF 3.732). 60(2), 2193-2208. DOI: 10.1016/j.aej.2020.12.034 Water Management Optimization

2020

  • Gupta A., Pandey P., Feijoo A., Yaseen Z. M., and Bokde N. (2020). Smart Water Technology for Efficient Water Resource Management: A Review. Energies (IF 3.252). 13(23), 6268. DOI: 10.3390/en13236268 Review Water Management
  • Bokde N., Tranberg B., and Andresen G. B. (2020). A graphical approach to carbon-efficient spot market scheduling for Power-to-X applications. Energy Conversion and Management (IF 11.533). 224, 113461. Preprint DOI: 10.1016/j.enconman.2020.113461 Energy Optimization Forecasting
  • Shewale A., Mokhade A., Funde N., Bokde N. (2020). An Overview of Demand Response in Smart Grid and Optimization Techniques for Efficient Residential Appliance Scheduling Problem. Energies (IF 3.252). 13(16), 4266. DOI: 10.3390/en13164266 Energy Optimization Demand Response
  • Agenis-Nevers M., Bokde N., Yaseen Z., and Shende M. (2020). An empirical estimation for time and memory algorithm complexities: Newly developed R package. Multimedia Tools and Applications (IF 2.757). DOI: 10.1007/s11042-020-09471-8 Software AutoML Complexity
  • Hashmi M. F., Katiyar S., Keskar A. G., Bokde N., and Geem Z. W. (2020). Efficient Pneumonia Detection in Chest Xray Images Using Deep Transfer Learning. Diagnostics (IF 3.992), 10(6), 417. DOI: 10.3390/diagnostics10060417 Deep Learning Object Detection
  • Hashmi M. F., Ashish B. K., Keskar A. G., Bokde N., Yoon J. H., and Geem Z. W. (2020). An Exploratory Analysis on Visual Counterfeits using Conv-LSTM Hybrid Architecture. IEEE Access (IF 4.098), 8, 101293-101308. DOI: 10.1109/ACCESS.2020.2998330 Deep Learning Object Detection
  • Bokde N., Yaseen Z. M. and Andresen G. B. (2020). ForecastTB - An R Package as a Test-bench for Time Series Forecasting: Application of Wind Speed and Solar Radiation Modeling. Energies (IF 3.252), 13(10), 2578. DOI: 10.3390/en13102578 Software AutoML Time Series Analysis Forecasting
  • Hashmi M. F., Ashish B. K., Keskar A. G., Bokde N., and Geem Z. W. (2020). FashionFit: Analysis of Mapping 3D Pose and Neural Body Fit for Custom Virtual Try-on. IEEE Access(IF 4.098), 8, 91603-91615. DOI: 10.1109/ACCESS.2020.2993574 Deep Learning Object Detection
  • Murthy C. B., Hashmi M. F., Bokde N., and Geem Z. W. (2020). Investigations of Object Detection in Images/Videos using Various Deep Learning Techniques and Embedded Platforms – A Comprehensive Review. Applied Sciences (IF 2.838), 10(9), 3280. DOI: 10.3390/app10093280 Review Deep Learning Object Detection
  • Kannaiyan S., Bokde N., and Geem Z. W. (2020). Solar Collectors Modeling and Controller Design for Solar Thermal Power Plant. IEEE Access (IF 4.098), 8, 81425-81446. DOI: 10.1109/ACCESS.2020.2989003 Energy Modeling
  • Gupta A., Bokde N., Kulat K., and Yaseen Z. M. (2020). Nodal Matrix analysis for Optimal Pressure Reducing Valve Localization in Water Distribution System. Energies (IF 3.252), 13(8), 1878. DOI: 10.3390/en13081878 Water Management Optimization
  • Bokde N., Feijoo A., Al-Ansari N., Tao S., and Yaseen Z. M. (2020). The Hybridization of Ensemble Empirical Mode Decomposition with Forecasting Models: Application of Short-Term Wind Speed and Power Modeling. Energies (IF 3.252), 13(7), 1666. DOI: 10.3390/en13071666 Energy Forecasting
  • Rao A. Prabhakara, Bokde N., and Sinha S. (2020). Photoacoustic Imaging for Management of Breast Cancer: A Literature Review and Future Perspectives. Applied Sciences (IF 2.838), 10(3), 767. DOI: 10.3390/app10030767 Review Deep Learning Object Detection

2019

  • Paliwal V., Ghare A., Mirajkar A., Bokde N., and Feijoo A. (2019). Computer Modeling for the Operation Optimization of Mula Reservoir, Upper Godavari Basin, India, Using Jaya Algorithm. Sustainability (IF 3.889), 12(1), 84. DOI: 10.3390/su12010084 Water Management Optimization
  • Feijoo A., and Bokde N. (2019). A method for inducing Pearson correlation between two different wind speed series. IEEE Power Engineering Letters.
  • Bokde N., Feijoo A., Al-Ansari N., and Yaseen Z. (2019). A comparison between reconstruction methods for generation of synthetic time series applied to wind speed simulation. IEEE Access (IF 4.098), 7, 135386-135398. DOI: 10.1109/ACCESS.2019.2941826 Time Series Analysis Synthetic data
  • Tao S., Xu. Q., Feijóo A., Kuenzel S., and Bokde N. (2019). Integrated wind farm power curve and power curve distribution function considering wake effect and terrain gradient. Energies (IF 3.252), 12(13), 2482. DOI: 10.3390/en12132482 Energy
  • Bokde N., Feijoo A., Villanueva D., and Kulat K. (2019). A review on hybrid empirical mode decomposition models for wind speed and wind power prediction. Energies (IF 3.252), 12(2), 254. DOI: 10.3390/en12020254 Review Energy Forecasting

2018

  • Bokde N., Feijoo A., Villanueva D., and Kulat K. (2018). A novel and alternative approach for direct and indirect wind power prediction methods. Energies (Invited/Feature paper) (IF 3.252), 11(11), 2923. DOI: 10.3390/en11112923 Energy Forecasting
  • Bokde N., Feijoo A., and Villanueva D. (2018). Wind turbine power curves based on Weibull cumulative distribution function. Applied Sciences (Invited/Feature paper) (IF 2.838), 8(10), 1757. DOI: 10.3390/app8101757 Energy Curve Fitting
  • Bokde N., Beck M. W., Martínez-Alvarez F., and Kulat K. D. (2018). A novel imputation methodology for time series based on pattern sequence forecasting. Pattern Recognition Letters (IF 4.757), 116(), 88-96. DOI: 10.1016/j.patrec.2018.09.020 Energy Time Series Analysis Imputation
  • Bokde N., Feijoo A., and Kulat K. (2018). Analysis of Differencing and Decomposition prepossessing methods for wind speed prediction. Applied Soft Computing (IF 8.263), 71(), 926-938. DOI: 10.1016/j.asoc.2018.07.041 Energy Time Series Analysis Forecasting
  • Bokde N., Kulat K. D., Beck M. W., and Asencio Cortés G. (2018). R package imputeTestbench to compare imputations methods for univariate time series. The R Journal (IF 3.984), 10(1), 208-233. DOI: 10.32614/RJ-2018-024 Time Series Analysis Imputation

2017

  • Gupta A., Bokde N., and Kulat K.D. (2017). Hybrid leakage management for water network using PSF algorithm and soft computing techniques. Water Resources Management (IF 4.426), 32(3), 1133-1151. DOI: 10.1007/s11269-017-1859-3 Water Management Time Series Analysis Forecasting
  • Gupta A., Bokde N., Marathe D., and Kulat K. D. (2017). Optimization techniques for leakage management in urban water distribution networks. Water Science and Technology: Water Supply (IF 1.768), 17(6), 1638-1652. DOI: 10.2166/ws.2017.064 Water Management Time Series Analysis Forecasting
  • Bokde N., Asencio-Cortés G., Martínez-Alvarez F., and Kulat K. D. (2017). PSF: Introduction to R Package for Pattern Sequence Based Forecasting Algorithm. The R Journal (IF 3.984), 9(1), 324-333. DOI: 10.32614/RJ-2017-021 Time Series Analysis Forecasting

  • Naganna, S. R., Beyaztas, B. H., Bokde, N., & Armanuos, A. M. (2020). On the evaluation of the Gradient Tree Boosting model for groundwater level forecasting. Knowledge-Based Engineering and Sciences, 1(01), 48–57. DOI: 10.51526/kbes.2020.1.01.48-57 Water Management Time Series Analysis Forecasting
  • Gupta, A., Bokde, N., Marathe, D., and Kulat K. (2018). A Novel Approach for Video based Fire Detection System using Spatial and Texture Analysis. Indian Journal of Science and Technology, 11(19). (Scopus indexed) DOI: 10.17485/ijst/2018/v11i19/88825 Object Detection
  • Bokde, N., Gupta, A., and Kulat, K. (2017). Backward Elimination Approach of Regression Model to Decide the Road Safety Policies Across the States in India. Indian Journal of Science and Technology, 9(48). (Scopus indexed) DOI: 10.17485/ijst/2016/v9i48/85089 Data Science
  • Gupta, A., Bokde, N., Marathe, D., and Kulat, K. (2016). Leakage Reduction in Water Distribution Systems with Efficient Placement and Control of Pressure Reducing Valves Using Soft Computing Techniques. Engineering, Technology & Applied Science Research, 7(2), pp-1528. (Scopus and ESCI indexed) DOI: 10.48084/etasr.1032
  • Bokde, N., Bodhe, G. L., Bokade, N., and Kulat, K. D. (2016). Development of adaptive and customizable Base Station system in Wireless Sensor Network. International Journal of Applied Engineering Research, 11(1), 33-39. (Scopus indexed) Wireless Sensor Networks
  • Gupta, A., Mishra, S., Bokde, N., and Kulat, K. (2016). Need of Smart Water Systems In India. International Journal of Applied Engineering Research, 11(4), 2216-2223. (Scopus indexed). Review Water Management

Conference Articles

2021

  • Bokde N., Johansen K.,Wandahl S., and Teizer J. (2021). A Digital Twin Framework For Equipment Emissions FromConstruction Site Operations. In Proceedings of 21st International Conference on Construction Application of Virtual Reality (pp. 31-42). Middlesbrough, UK: Teesside University Press. URL Digital Twins Emission

2019

  • Villanueva D., Feijoo A., and Bokde N. (2019). A Strategy for Power Generation Optimization in a Hybrid Wind-BESS Power Plant. In International Conference on Renewable Energy and Environment Engineering, Munich, Germany. DOI: 10.1051/e3sconf/201912204004 Energy Optimization
  • Durán P., Villanueva D., Feijoo A., and Bokde N. (2019). Interior Point Algorithm Applied to the Optimization of the Power Supplied by a Wind Farm with a BESS. In International Conference on Renewable Energy and Environment Engineering, Munich, Germany. DOI: 10.1051/e3sconf/201912204002 Energy Optimization
  • Patil, J., Bokde, N., Mishra, S., and Kulat, K. D. (2019) A segmentation approach to optimize spectrum allocation for secondary users in a cognitive network. In International Conference on Computing, Communication and Networking Technologies, IIT Kanpur. URL Cognitive Radio Forecasting

2018

  • Patil, J., Bokde, N., Mishra, S., and Kulat, K. D. (2018) PSF based spectrum occupancy prediction in cognitive radio. In International Conference on Advanced Engineering Optimization Through Intelligent Techniques, SVNIT Surat. DOI: 10.1007/978-981-13-8196-6_53 Cognitive Radio Forecasting

2017

  • Bokde, N., Wakpanjar, A., Kulat, K. D., and Feijoo A. (2017) Robust performance of PSF method over outliers and random patterns in univariate time series forecasting. In International Technology Congress, Pune. URL Forecasting
  • Bokde, N., Troncoso, A., Asencio-Cortés, G., Kulat, K., and Martínez-Álvarez, F. (2017) Pattern sequence similarity based techniques for wind speed forecasting. In International Work-Conference on Time Series (ITISE), Granada, Spain 2, 786-794. (Scopus indexed) URL Energy Forecasting

2015

  • Bokde, N., Peshwe, P. D., Gupta, A., and Kulat, K. D. (2015). RemoteWSN: A novel technique for remotely visualizing connectivity in WSN working on a weight based routing algorithm. In Recent Advances in Electronics & Computer Engineering (RAECE), 2015 National Conference on (pp. 92-95). IEEE. (Scopus indexed). DOI: 10.1109/RAECE.2015.7510232 Wireless Sensor Networks

Book Chapters

  • Patil, J., Bokde, N., Mishra, S., and Kulat, K. D. (2019) PSF based spectrum occupancy prediction in cognitive radio. In Advanced Engineering Optimization Through Intelligent Techniques, Springer Nature Singapore. DOI: 10.1007/978-981-13-8196-6_53 Cognitive Radio Forecasting
  • Bokde, N., Wakpanjar, A., Kulat, K. D., and Feijoo A. (2018). Robust performance of PSF method over outliers and random patterns in univariate time series forecasting. In Computer Science Advances: Research and Applications. URL Forecasting
  • Gupta, A., Satpute, V. R., Kulat, K. D., and Bokde, N. (2016). Real-Time Abandoned Object Detection Using Video Surveillance. In Proceedings of the International Conference on Recent Cognizance in Wireless Communication & Image Processing (pp. 837-843). Springer, New Delhi. URL Object Detection

Technical notes and Preprints

  • Shende M., Bokde, N., Feijoo A. (2021). cleanTS: Testbench for Univariate Time Series Cleaning. R package version, 0.1.0. View on CRAN
  • Bokde, N., Andersen G. B. (2020). ForecastTB: Test Bench for the Comparison of Forecast Methods. R package version, 1.0.1. View on CRAN
  • Shende, M., Bokde, N. (2019). Jaya: Jaya, a Gradient-Free Optimization Algorithm. R package version, 0.1.9. View on CRAN
  • Agenis, M., Bokde, N. (2019). GuessCompx: Empirically Estimates Algorithm Complexity. R package version, 1.0.3. View on CRAN
  • Bokde N. and Feijoo A. (2018). WindCurves: Tool to Fit Wind Turbine Power Curves. R package version 0.1.3. View on CRAN
  • Bokde, N., & Kulat, K. (2016). Demonstration of an open source platform for reproducible comparison of predictive models (No. e2251v1). PeerJ Preprints.
  • Bokde, N., Gupta, A., & Kulat, K. (2016). Introduction of seasonality concept in PSF algorithm to improve univariate time series predictions (No. e2184v1). PeerJ Preprints.
  • Bokde, N., Asencio-Cortés G., Martínez-Álvarez F. (2016). PSF: Algorithm for Pattern Sequence Based Forecasting. R package version, 0.4. View on CRAN
  • Bokde, N., Beck M. W. (2016). imputeTestbench: Testbench for Missing Data Imputing Models/Methods Comparison. R package version, 3.0.1. View on CRAN
  • Bokde, N. (2016). imputePSF: Impute Missing Data in Time Series Data with PSF Based Method. R package version, 0.1.0. View on CRAN
  • Bokde, N. (2016). PredictTestbench: Testbench for Comparison of Data Prediction Models. R package version, 1.1.3. View on CRAN