Vladimir Stankovic

Search results

• 2025

  Characterisation of precursory seismic activity towards early warning of landslides via semi-supervised learning

  Murray, D., Stankovic, L., Stankovic, V., Pytharouli, S., Dashwood, B. & Chambers, J., 6 Jan 2025, In: Scientific Reports. 12 p., 1026.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Seismic Activity 100%
  • Supervised Learning 100%
  • Seismographs 50%
  • Machine Learning 50%
  • Seismogram 50%
  1 Downloads (Pure)

• A human-on-the-loop approach for labelling seismic recordings from landslide site via a multi-class deep-learning based classification model

  Jiang, J., Murray, D., Stankovic, V., Stankovic, L., Hibert, C., Pytharouli, S. & Malet, J.-P., 2 Jan 2025, (E-pub ahead of print) In: Science of Remote Sensing.

  Research output: Contribution to journal › Article › peer-review

  • Geodetic Network 100%
• 2024

  XNILMBoost: explainability-informed load disaggregation training enhancement using attribution priors

  Batic, D., Stankovic, V. & Stankovic, L., 1 Feb 2025, In: Engineering Applications of Artificial Intelligence . 141, 18 p., 109766.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Disaggregation 100%
  • Artificial Intelligence 100%
  • Neural Network Model 33%
  • Smart Meters 33%
  • Deep Neural Network 33%
  5 Downloads (Pure)

• A temporal-spatial graph network with a learnable adjacency matrix for appliance-level electricity consumption prediction

  Li, D., Xia, J., Li, J., Xiao, C., Stankovic, V., Stankovic, L. & Shi, Q., 28 Nov 2024, (E-pub ahead of print) In: IEEE Transactions on Artificial Intelligence. 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Adjacency Matrix 100%
  • Temporal Graph 66%
  • Deep Neural Network 16%
  • Determination Coefficient 16%
  2 Downloads (Pure)

• Semi-supervised graph-based non-intrusive load monitoring method combining transformer and graph Laplacian smoothing

  Dong, J., Zheng, J., Stankovic, L. & Stankovic, V., 22 Nov 2024, (Accepted/In press) 2024 IEEE 8th Conference on Energy Internet and Energy System Integration (EI2). Piscataway, NJ: IEEE, 5 p. (IEEE Conference on Energy Internet and Energy System Integration (EI2)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  • Learning System 100%
  • Neural Network 100%
  • Feature Extraction Network 50%
  • Sequence Power 50%
  • Feature Sequence 50%

• Descriptor: A Norwegian Positive Energy Neighbourhood Dataset of Electrical Measurements and Interviews on Energy Practices (NorPEN)

  Vavouris, A., Guasselli, F., Stankovic, L., Stankovic, V., Gram-Hanssen, K. & Didierjean, S., 14 Nov 2024, In: IEEE Data Descriptions. 1, p. 113-121 9 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Aggregate 100%
  • Sustainable Urban Development 20%
  3 Downloads (Pure)

• A weakly supervised active learning framework for non-intrusive load monitoring

  Tanoni, G., Sobot, T., Principi, E., Stankovic, V., Stankovic, L. & Squartini, S., 18 Oct 2024, In: Integrated Computer-Aided Engineering. 32, 1, p. 37-54 18 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • User 100%
  • Active Learning 100%
  • Learning Framework 100%
  • Transfer Learning 100%
  • Learning Approach 100%
  129 Downloads (Pure)

• Author Correction: The Plegma dataset: Domestic appliance-level and aggregate electricity demand with metadata from Greece

  Athanasoulias, S., Guasselli, F., Doulamis, N., Doulamis, A., Ipiotis, N., Katsari, A., Stankovic, L. & Stankovic, V., 13 Sept 2024, In: Scientific Data. 11, 1, 1001.

  Research output: Contribution to journal › Correction › peer-review

  Open Access

  • Greece 100%
  • Metadata 100%
  • Data Set 100%
  • Domestic Appliance 100%
  • Electricity 100%

• An active learning framework for microseismic event detection

  Sobot, T., Murray, D., Stankovic, V., Stankovic, L. & Shi, P., 5 Sept 2024, 2024 IEEE International Geoscience and Remote Sensing Symposium. Piscataway, NJ: IEEE, p. 493-497 5 p. (IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Learning 100%
  • Labelling 50%
  • Building 25%
  • Set 25%
  • Training 25%
  26 Downloads (Pure)

• Dimensionality reduction for visualization of hydrogeophysical and metereological recordings on a landslide zone

  Parasyris, A., Stankovic, L. & Stankovic, V., 5 Sept 2024, IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, p. 1864-1868 5 p. (IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  • Stages 100%
  • Reduction 100%
  • Visualization 100%
  • Dimensionality 100%
  • Measurand 100%
  1 Citation (Scopus)

• Explainable AI for transparent seismic signal classification

  Jiang, J., Stankovic, V., Stankovic, L., Murray, D. & Pytharouli, S., 5 Sept 2024, 2024 IEEE International Geoscience and Remote Sensing Symposium. Piscataway, NJ: IEEE, p. 8801-8805 5 p. (IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Output 100%
  • Learning 100%
  • Physical Property 100%
  • Model 66%
  • Utilization 66%
  1 Citation (Scopus)

  19 Downloads (Pure)

• Siamese unsupervised clustering for removing uncertainty in microseismic signal labelling

  Murray, D., Stankovic, L. & Stankovic, V., 5 Sept 2024, 2024 IEEE International Geoscience and Remote Sensing Symposium. Piscataway, NJ: IEEE, p. 8816-8820 5 p. (IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Data Set 100%
  • Labelling 100%
  • Confidence 100%
  • Event 100%
  • Model 50%
  1 Citation (Scopus)

  11 Downloads (Pure)

• Time and money matters for sustainability: Insights on user preferences on renewable energy for electric vehicle charging stations

  Du, D., Vavouris, A., Veisi, O., Jin, L., Stevens, G., Stankovic, L., Stankovic, V. & Boden, A., 1 Sept 2024, MuC '24: Proceedings of Mensch und Computer 2024. Maedche, A., Beigl, M., Gerling, K. & Mayer, S. (eds.). Association for Computing Machinery (ACM), p. 269-278 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  • Sustainable Development 100%
  • EV Charging Station 100%
  • Renewable Energy 100%
  • Electric Vehicle 100%
  • Renewables 60%

• A machine learning-driven approach to uncover the influencing factors resulting in soil mass displacement

  Parasyris, A., Stankovic, L. & Stankovic, V., 18 Aug 2024, In: Geosciences. 14, 8, 22 p., 220.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Feature Extraction 100%
  • Influencing Factor 100%
  • Soil Mass 100%
  • Mass Displacement 100%
  • Soil 100%
  7 Downloads (Pure)

• A complex mixed-methods data-driven energy-centric evaluation of net-positive households

  Vavouris, A., Guasselli, F., Stankovic, L., Stankovic, V., Gram-Hanssen, K. & Didierjean, S., 1 Aug 2024, In: Applied Energy. 367, 14 p., 123404.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Energy Engineering 100%
  • Evaluation 100%
  • Reduction 37%
  • Dwelling 25%
  • Demand Side 25%
  2 Citations (Scopus)

  42 Downloads (Pure)

• Human in the loop active learning for time-series electrical measurement data

  Sobot, T., Stankovic, V. & Stankovic, L., 1 Jul 2024, In: Engineering Applications of Artificial Intelligence . 133, Part F, 17 p., 108589.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Learning 100%
  • Time Series 100%
  • Electrical Measurement 100%
  • Loop 100%
  • Labelling 100%
  34 Downloads (Pure)

• ChargeDEM: geodemographic aware EV charging infrastructure placement for enhanced site selection using graph neural networks

  Batic, D., Stankovic, V. & Stankovic, L., 25 Jun 2024, (Accepted/In press) 12th International Conference on Energy Efficiency in Domestic Appliances and Lighting (EEDAL’24).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Graph Neural Network 100%
  • Site Selection 100%
  • Demographic Factor 33%
  • Sustainable Transportation 33%
  • Decision-Making 33%
  3 Downloads (Pure)

• Uncovering hidden demand flexibility using non-intrusive load monitoring (NILM): a case for Southern Africa – Namibia

  Mollel, R. S., Elombo, A., Stankovic, L., Stankovic, V., Hambata, J. & Thiel, G., 25 Jun 2024, (Accepted/In press) 12th International Conference on Energy Efficiency in Domestic Appliances and Lighting (EEDAL’24).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  • Flexibility 100%
  • Data Set 100%
  • Southern Africa 100%
  • Namibia 100%
  • Approach 100%

• Explainable deep learning models for smart meter data

  Thurakit, P. & Stankovic, V., 20 Jun 2024, 2023 IEEE PES 15th Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  • Deep Learning 100%

• Smart energy technologies for the collective: time-shifting, demand reduction and household practices in a Positive Energy Neighbourhood in Norway

  Guasselli, F., Vavouris, A., Stankovic, L., Stankovic, V., Didierjean, S. & Gram-Hanssen, K., 30 Apr 2024, In: Energy Research and Social Science. 110, 12 p., 103436.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Energy Engineering 100%
  • Demand Reduction 100%
  • Energy Technology 100%
  • Neighbourhood 100%
  • Demand Side 50%
  9 Citations (Scopus)

  57 Downloads (Pure)

• The Plegma dataset: domestic appliance-level and aggregate electricity demand with metadata from Greece

  Athanasoulias, S., Guasselli, F., Doulamis, N., Doulamis, A., Ipiotis, N., Katsari, A., Stankovic, L. & Stankovic, V., 12 Apr 2024, In: Scientific Data. 11, 1, 17 p., 376.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Greece 100%
  • Metadata 100%
  • Aggregate 100%
  • Data Set 100%
  • Domestic Appliance 100%
  4 Citations (Scopus)

  41 Downloads (Pure)

• Supervised microseismic event detection using Siamese Networks for labelling of noisy recordings

  Murray, D., Stankovic, L. & Stankovic, V., 17 Mar 2024, Rochester, NY, 35 p.

  Research output: Working paper › Working Paper/Preprint

  • Anchors 100%

• Knowledge distillation for scalable non-intrusive load monitoring

  Tanoni, G., Stankovic, L., Stankovic, V., Squartini, S. & Principi, E., 1 Mar 2024, In: IEEE Transactions on Industrial Informatics. 20, 3, p. 4710-4721 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Computational Resource 100%
  • Deep Neural Network 100%
  1 Citation (Scopus)

  76 Downloads (Pure)

• Multichannel coherence migration grid search (MCMgs) in locating microseismic events recorded by a surface array

  Parastatidis, E., Pytharouli, S., Stankovic, L., Stankovic, V., Shi, P. & Hildyard, M. W., 29 Feb 2024, In: Geophysical Journal International. 236, 2, p. 1042-1052 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Array 100%
  • Migration 100%
  • Event 100%
  • Detection 100%
  • Events 100%
  24 Downloads (Pure)

• Towards transparent load disaggregation – a framework for quantitative evaluation of explainability using explainable AI

  Batic, D., Stankovic, V. & Stankovic, L., 1 Feb 2024, In: IEEE Transactions on Consumer Electronics. 70, 1, p. 4345-4356 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Explainable Artificial Intelligence 100%
  • Disaggregation 100%
  • Quantitative Evaluation 100%
  • Evaluation 100%
  • Adoption 100%
  6 Citations (Scopus)

  62 Downloads (Pure)

• Analysis of smart meter data for energy waste management

  Batic, D., Stankovic, L. & Stankovic, V., 24 Jan 2024, Artificial Intelligence for Sustainability: Innovations in Business and Financial Services. Walker, T., Wendt, S., Goubran, S. & Schwartz, T. (eds.). Cham, Switzerland: Palgrave Macmillan Ltd., p. 153-173 21 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Smart Meter 100%
  • Energy Engineering 100%
  • Energy Usage 22%
  • Artificial Intelligence Model 12%
  • Privacy-Preserving Technique 12%
• 2023

  Integration of drivers' routines into lifecycle assessment of electric vehicles

  Vavouris, A., Stankovic, L. & Stankovic, V., 17 Nov 2023, In: Transportation Research Procedia. 70, p. 322-329 8 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  File

  • Electric Vehicle 100%
  • Lifecycle 100%
  • Carbon Footprint 100%
  • Integration 100%
  • Engines 66%
  1 Citation (Scopus)

  111 Downloads (Pure)

• Performance-aware NILM model optimization for edge deployment

  Sykiotis, S., Athanasoulias, S., Kaselimi, M., Doulamis, A., Doulamis, N., Stankovic, L. & Stankovic, V., 30 Sept 2023, In: IEEE Transactions on Green Communications and Networking. 7, 3, p. 1434-1446 13 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Household Consumption 100%
  • Model Architecture 100%
  19 Citations (Scopus)

  150 Downloads (Pure)

• Unsupervised cluster analysis of walking activity data for healthy individuals and individuals with lower limb amputation

  Jamieson, A., Murray, L., Stankovic, V., Stankovic, L. & Buis, A., 27 Sept 2023, In: Sensors. 23, 19, 18 p., 8164.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Healthy Individual 100%
  • Embedding 100%
  • Cluster Analysis 100%
  • Walking 100%
  • Cluster Formation 66%
  40 Downloads (Pure)

• An active learning framework for the low-frequency Non-Intrusive Load Monitoring problem

  Todic, T., Stankovic, V. & Stankovic, L., 1 Jul 2023, In: Applied Energy. 341, 121078.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Models 100%
  • Active Learning 100%
  • Learning Framework 100%
  • Deep Learning 66%
  • Smart Meters 66%
  31 Citations (Scopus)

  51 Downloads (Pure)

• Domain knowledge informed multitask learning for landslide induced seismic classification

  Li, J., Ye, M., Stankovic, L., Stankovic, V. & Pytharouli, S., 13 Jun 2023, In: IEEE Geoscience and Remote Sensing Letters. 20, p. 1-5 5 p., 7503005.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Learning 100%
  • Landslide 100%
  • Domain 100%
  • Knowledge 100%
  • Classification 100%
  3 Citations (Scopus)

  38 Downloads (Pure)

• Improving knowledge distillation for non-intrusive load monitoring through explainability guided learning

  Batic, D., Tanoni, G., Stankovic, L., Stankovic, V. & Principi, E., 4 Jun 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Piscataway, NJ.: IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Knowledge Distillation 100%
  • Domain Adaptation 60%
  • Complexity Reduction 40%
  • Neural Network Model 20%
  • Networks 20%
  8 Citations (Scopus)

  50 Downloads (Pure)

• Synthetic data generation for Deep Learning-based Inversion for Velocity Model Building

  Parasyris, A., Stankovic, L. & Stankovic, V., 2 Jun 2023, In: Remote Sensing. 15, 11, 29 p., 2901.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Deep Learning 100%
  • Models 100%
  • Data Generation 100%
  • Synthetic Data 100%
  • Residual Neural Network 16%
  4 Citations (Scopus)

  86 Downloads (Pure)

• Explainability-informed feature selection and performance prediction for nonintrusive load monitoring

  Mollel, R. S., Stankovic, L. & Stankovic, V., 17 May 2023, In: Sensors. 23, 10, 26 p., 4845.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Performance Prediction 100%
  • Models 100%
  • Feature Extraction 100%
  • Appliances 69%
  • Determines 20%
  4 Citations (Scopus)

  38 Downloads (Pure)

• Near surface full waveform inversion via deep learning for subsurface imaging

  Parasyris, A., Stankovic, L., Pytharouli, S. & Stankovic, V., 12 May 2023, Expanding Underground - Knowledge and Passion to Make a Positive Impact on the World : Proceedings of the ITA-AITES World Tunnel Congress 2023 (WTC 2023), 12-18 May 2023, Athens, Greece . Anagnostou, G., Benardos, A. & Marinos, V. P. (eds.). London, p. 2829-2836 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Earth Model 100%
  • Compressional Wave 20%
  • Geological Strength Index 20%
  • Safety Standard 20%
  • Underground Construction 20%
  1 Citation (Scopus)

  63 Downloads (Pure)

• Semi-supervised seismic event detection using Siamese Networks

  Murray, D., Stankovic, L., Pytharouli, S. & Stankovic, V., 28 Apr 2023.

  Research output: Contribution to conference › Poster › peer-review

  Open Access

  File

  • Event 100%
  • Detection 100%
  • Network 100%
  • Datum 50%
  • Rockfall 37%
  22 Downloads (Pure)

• Microseismic event classification with time, frequency and wavelet domain convolutional neural networks

  Jiang, J., Stankovic, V., Stankovic, L., Parastatidis, E. & Pytharouli, S., 11 Apr 2023, In: IEEE Transactions on Geoscience and Remote Sensing. 61, p. 1-14 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Larissa 100%
  12 Citations (Scopus)

  110 Downloads (Pure)

• A survey and tutorial on deep reinforcement learning algorithms for robotic manipulation

  Han, D., Mulyana, B., Stankovic, V. & Cheng, S., 5 Apr 2023, In: Sensors. 23, 7, 35 p., 3762.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Survey 100%
  • Learning Algorithm 100%
  • Deep Reinforcement Learning 100%
  • Reinforcement Learning 100%
  • Learning Systems 33%
  72 Citations (Scopus)

  64 Downloads (Pure)

• Transfer learning for multi-objective non-intrusive load monitoring in smart building

  Li, D., Li, J., Zeng, X., Stankovic, V., Stankovic, L., Xiao, C. & Shi, Q., 1 Jan 2023, In: Applied Energy. 329, 13 p., 120223.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Transfer Learning 100%
  • Intelligent Buildings 100%
  • Appliances 100%
  • Transferring 100%
  • Learning 100%
  38 Citations (Scopus)

  105 Downloads (Pure)
• 2022

  Graph-based feature weight optimisation and classification of continuous seismic sensor array recordings

  Li, J., Stankovic, L., Stankovic, V., Pytharouli, S., Yang, C. & Shi, Q., 26 Dec 2022, In: Sensors. 23, 1, 23 p., 243.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Classification 100%
  • Sensor Array 100%
  • Optimization 100%
  • Arrays 100%
  • Feature Selection 80%
  2 Citations (Scopus)

  37 Downloads (Pure)

• How likely is a random network graph shift-enabled?

  Chen, L., Cheng, S., Stankovic, V., Stankovic, L. & Shi, Q., 7 Dec 2022, In: IEEE Transactions on Signal and Information Processing over Networks. 8, p. 973-982 10 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Random Network 100%
  • Networks 66%
  • Connected Graph 66%
  • Models 33%
  • Design 33%
  36 Downloads (Pure)

• Using explainability tools to inform non-intrusive load monitoring algorithm performance: a decision tree approach

  Mollel, R. S., Stankovic, L. & Stankovic, V., 24 Nov 2022. 1 p.

  Research output: Contribution to conference › Poster

  Open Access

  File

  • Estimating 100%
  • Condition 100%
  • Measuring Instrument 100%
  29 Downloads (Pure)

• Benefits of three-phase metering for load disaggregation

  Vavouris, A., Stankovic, L., Stankovic, V. & Shi, J., 11 Nov 2022, Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. New York, NY, USA: Association for Computing Machinery (ACM), p. 393-397 5 p. (BuildSys '22).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Electric Vehicle 100%
  • Dataset 100%
  • Appliances 100%
  • Measurement 50%
  • Installation 50%
  2 Citations (Scopus)

  49 Downloads (Pure)

• Using explainability tools to inform NILM algorithm performance: a decision tree approach

  Mollel, R. S., Stankovic, L. & Stankovic, V., 11 Nov 2022, Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. New York, NY, USA: Association for Computing Machinery (ACM), p. 368-372 5 p. (BuildSys '22).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Algorithm Performance 100%
  • Models 100%
  • Decision Tree Approach 100%
  • Application 16%
  • Classification 16%
  6 Citations (Scopus)

  71 Downloads (Pure)

• Smart dimmable LED lighting systems

  Petkovic, M., Bajovic, D., Vukobratovic, D., Machaj, J., Brida, P., McCutcheon, G., Stankovic, L. & Stankovic, V., 5 Nov 2022, In: Sensors. 22, 21, 21 p., 8523.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Lighting System 100%
  • Light-Emitting Diode 100%
  • User 20%
  • Energy Consumption 20%
  • Shading Factor 20%
  7 Citations (Scopus)

  17 Downloads (Pure)

• Embedding climate change goals in engineering curricula

  Stankovic, V. & Stankovic, L., 2 Sept 2022. 8 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Curriculum 100%
  • Goal 100%
  • Embedding 100%
  • Project 100%
  • Climate Change 100%
  8 Downloads (Pure)

• Embedding climate change goals in engineering curricula

  Stankovic, V. & Stankovic, L., 1 Sept 2022, Proceedings of the 8th International Symposium for Engineering Education. Glasgow: University of Strathclyde, 8 p. 8073

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  Open Access

  File

  • Approach 100%
  • Climate Change 100%
  • Engineering 100%
  • Curriculum 100%
  • Engineering Curriculum 100%
  28 Downloads (Pure)

• Quantification of dairy farm energy consumption to support the transition to sustainable farming

  Todic, T., Stankovic, L., Stankovic, V. & Shi, J., 14 Jul 2022, 2022 IEEE International Conference on Smart Computing (SMARTCOMP). Piscataway, NY: IEEE, p. 368-373 6 p. (IEEE Conference on Smart Computing (SMARTCOMP)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Dairies 100%
  • Measurement 20%
  • Estimation 20%
  • Milk Production 20%
  • Research 20%
  3 Citations (Scopus)

  149 Downloads (Pure)

• Low-frequency non-intrusive load monitoring of electric vehicles in houses with solar generation: generalisability and transferability

  Vavouris, A., Garside, B., Stankovic, L. & Stankovic, V., 17 Mar 2022, In: Energies. 15, 6, 27 p., 2200.

  Research output: Contribution to journal › Special issue › peer-review

  Open Access

  File

  • Houses 100%
  • Electric Vehicle 100%
  • Low Frequency 100%
  • Vehicle 100%
  • Frequencies 100%
  12 Citations (Scopus)

  170 Downloads (Pure)

• Model selection-inspired coefficients optimization for polynomial-kernel graph learning

  Yang, C., Wang, F., Ye, M., Zhai, G., Zhang, X.-P., Stankovic, V. & Stankovic, L., 3 Feb 2022, 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). IEEE, 7 p. (2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Positive Definite 100%
  • Laplace Operator 50%
  • Binary Classification 50%
  • Independent Variable 50%
  • Gradient Descent 33%
  23 Downloads (Pure)