Items where Author is "Ojha, Dr Varun"

Vandaele, R., Dance, S. L. ORCID: https://orcid.org/0000-0003-1690-3338 and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2023) Calibrated river-level estimation from river cameras using convolutional neural networks. Environmental Data Science, 2. e11. ISSN 2634-4602 doi: 10.1017/eds.2023.6

Ayers, D., Lau, J., Amezcua, J., Carrassi, A. ORCID: https://orcid.org/0000-0003-0722-5600 and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2023) Supervised machine learning to estimate instabilities in chaotic systems: estimation of local Lyapunov exponents. Quarterly Journal of the Royal Meteorological Society, 149 (753). pp. 1236-1262. ISSN 0035-9009 doi: 10.1002/qj.4450

Kong, L. ORCID: https://orcid.org/0000-0002-6825-1469, Kumar, A. ORCID: https://orcid.org/0000-0003-1940-0234, Snášel, V. ORCID: https://orcid.org/0000-0002-9600-8319, Das, S. ORCID: https://orcid.org/0000-0001-6843-4508, Krömer, P. ORCID: https://orcid.org/0000-0001-8428-3332 and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2022) CSS–A cheap-surrogate-based selection operator for multi-objective optimization. In: Mernik, M., Eftimov, T. and Črepinšek, M. (eds.) Bioinspired Optimization Methods and Their Applications: 10th International Conference, BIOMA 2022, Maribor, Slovenia, November 17–18, 2022, Proceedings. Lecture Notes in Computer Science, 13627. Springer, Cham, pp. 54-68, X, 277. ISBN 9783031210938 doi: 10.1007/978-3-031-21094-5_5

Kong, L., Kumar, A., Snášel, V., Das, S., Krömer, P. and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2022) CSS–A cheap-surrogate-based selection operator for multi-objective optimization. In: Mernik, M., Eftimov, T. and Črepinšek, M. (eds.) Bioinspired Optimization Methods and Their Applications: 10th International Conference, BIOMA 2022, Maribor, Slovenia, November 17–18, 2022, Proceedings:. Lecture Notes in Computer Science. Springer, Cham, pp. 54-68. ISBN 9783031210938 doi: 10.1007/978-3-031-21094-5_5

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Jansen, G., Patanè, A., La Magna, A., Romano, V. and Nicosia, G. (2022) Design and characterization of effective solar cells. Energy Systems, 13. pp. 355-382. ISSN 1868-3967 doi: 10.1007/s12667-021-00451-x

Pravin, C., Martino, I., Nicosia, G. and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2021) Adversarial robustness in deep learning: attacks on fragile neurons. In: 30th International Conference on Artificial Neural Networks, 2021-09-07, Bratislava, Slovakia (Online), pp. 16-28. doi: 10.1007/978-3-030-86362-3_2

Ward, B., Pravin, C., Chetcuti, A., Hayashi, Y. ORCID: https://orcid.org/0000-0002-9207-6322 and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2021) Classification of musical preference in generation Z through EEG signal processing and machine learning. In: International Conference on Intelligent Systems Design and Applications, 2020-12-12 - 2020-12-15, https://link.springer.com/conference/isda, pp. 117-127. doi: 10.1007/978-3-030-71187-0_11

Jaikumar, P., Vandaele, R. and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2021) Transfer learning for instance segmentation of waste bottles using Mask R-CNN algorithm. In: International Conference on Intelligent Systems Design and Applications, 2020-12-12 - 2020-12-15, https://link.springer.com/conference/isda, pp. 140-149. doi: 10.1007/978-3-030-71187-0_13 (Intelligent Systems Design and Applications. ISDA 2020. Advances in Intelligent Systems and Computing, vol 1351.)

Vandaele, R., Dance, S. ORCID: https://orcid.org/0000-0003-1690-3338 and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2021) Automated water segmentation and river level detection on camera images using transfer learning. In: 42nd German Conference on Pattern Recognition (DAGM GCPR 2020), 2021-03-17, pp. 232-245. doi: 10.1007/978-3-030-71278-5

Pravin, C. and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2021) A novel ECG signal denoising filter selection algorithm based on conventional neural networks. In: 19th IEEE International Conference on Machine Learning and Applications (ICMLA 2020), 2020-12-14 - 2020-12-17, Miami, Florida. doi: 10.1109/ICMLA51294.2020.00176 (Proceeding of 2s020 19th IEEE International Conference on Machine Learning and Applications (ICMLA))

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 and Nicosia, G. (2020) Multi-objective optimisation of multi-output neural trees. In: IEEE Congress on Evolutionary Computation (IEEE CEC 2020), 2020-07-19 - 2020-07-24, Glasgow, Scotland, UK. doi: 10.1109/CEC48606.2020.9185600

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Abraham, A. and Snášel, V. (2019) Heuristic design of fuzzy inference systems: a review of three decades of research. Engineering Applications of Artificial Intelligence, 85. pp. 845-864. ISSN 0952-1976 doi: 10.1016/j.engappai.2019.08.010

Ojha, V. K. ORCID: https://orcid.org/0000-0002-9256-1192, Griego, D., Kuliga, S., Bielik, M., Bus, P., Schaeben, C., Treyer, L., Standfest, M., Schneider, S., König, R., Donath, D. and Schmitt, G. (2019) Machine learning approaches to understand the influence of urban environments on human’s physiological response. Information Sciences, 474. pp. 154-169. ISSN 0020-0255 doi: 10.1016/j.ins.2018.09.061

Bielik, M., Schneider, S., Kuliga, S., Griego, D., Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, König, R., Schmitt, G. and Donath, D. (2019) Examining trade-offs between social, psychological, and energy potential of urban form. ISPRS International Journal of Geo-Information, 8 (2). 52. ISSN 2220-9964 doi: 10.3390/ijgi8020052

Ojha, V. K. ORCID: https://orcid.org/0000-0002-9256-1192, Schiano, S., Wu, C.-Y., Snásel, V. and Abraham, A. (2018) Predictive modeling of die filling of the pharmaceutical granules using the flexible neural tree. Neural Computing and Applications, 29 (7). pp. 467-481. ISSN 0941-0643 doi: 10.1007/s00521-016-2545-8

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 and Amban Mishra, D. (2018) Neural tree for estimating the uniaxial compressive strength of rock materials. In: International Conference on Hybrid Intelligent Systems, 2018-01-01, pp. 1-10. doi: 10.1007/978-3-319-76351-4_1

Ojha, V. K. ORCID: https://orcid.org/0000-0002-9256-1192, Dutta, P. and Chaudhuri, A. (2017) Identifying hazardousness of sewer pipeline gas mixture using classification methods: a comparative study. Neural Computing and Applications, 28 (6). pp. 1343-1354. ISSN 0941-0643 doi: 10.1007/s00521-016-2443-0

Ojha, V. K. ORCID: https://orcid.org/0000-0002-9256-1192, Abraham, A. and Snasel, V. (2017) Metaheuristic design of feedforward neural networks: a review of two decades of research. Engineering Applications of Artificial Intelligence, 60. pp. 97-116. ISSN 0952-1976 doi: 10.1016/j.engappai.2017.01.013

Ojha, V. K. ORCID: https://orcid.org/0000-0002-9256-1192, Abraham, A. and Snásel, V. (2017) Ensemble of heterogeneous flexible neural trees using multiobjective genetic programming. Applied Soft Computing, 52. pp. 909-924. ISSN 1568-4946 doi: 10.1016/j.asoc.2016.09.035

Zjavka, L., Snásel, V., Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 and Pedrycz, W. (2016) A substitution of the general partial differential equation with extended polynomial networks. In: International Joint Conference on Neural Networks (IJCNN), 2016-07-25 - 2016-07-29, Vancouver, Canada, pp. 4819-4826. doi: 10.1109/IJCNN.2016.7727833

Ojha, V. K. ORCID: https://orcid.org/0000-0002-9256-1192, Jackowski, K., Abraham, A. and Snásel, V. (2015) Dimensionality reduction, and function approximation of poly (lactic-co-glycolic acid) micro-and nanoparticle dissolution rate. International Journal of Nanomedicine, 10 (1). pp. 1119-1129. ISSN 1176-9114 doi: 10.2147/IJN.S71847

Ojha, V. K. ORCID: https://orcid.org/0000-0002-9256-1192, Abraham, A. and Snasel, V. (2014) Simultaneous optimization of neural network weights and active nodes using metaheuristics. In: 14th International Conference on Hybrid Intelligent Systems, 2014-12-14 - 2014-12-16, Kuwait, pp. 248-253. doi: 10.1109/HIS.2014.7086207

Ojha, V. K. ORCID: https://orcid.org/0000-0002-9256-1192, Abraham, A. and Snášel, V. (2014) ACO for continuous function optimization: a performance analysis. In: 2014 14th International Conference on Intelligent Systems Design and Applications, 2914-11-28 - 2914-11-30, Okinawa, Japan, pp. 145-150.