Vandaele, R. ORCID: https://orcid.org/0000-0002-0693-8011, Dance, S. L. ORCID: https://orcid.org/0000-0003-1690-3338 and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2024) Deep learning for automated trash screen blockage detection using cameras: actionable information for flood risk management. Journal of Hydroinformatics, 26 (4). pp. 889-903. ISSN 1465-1734 doi: https://doi.org/10.2166/hydro.2024.013

Ayers, D. ORCID: https://orcid.org/0000-0002-5667-8174, Lau, J., Amezcua, J. ORCID: https://orcid.org/0000-0002-4952-8354, 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 1477-870X doi: https://doi.org/10.1002/qj.4450

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Pantò, B. and Nicosia, G. (2023) Adaptive search space decomposition method for pre- and post- buckling analyses of space truss structures. Engineering Application of Artificial Intelligence, 117 (B). 105593. ISSN 0952-1976 doi: https://doi.org/10.1016/j.engappai.2022.105593

Vandaele, R. ORCID: https://orcid.org/0000-0002-0693-8011, 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: https://doi.org/10.1017/eds.2023.6

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: https://doi.org/10.1007/978-3-031-21094-5_5

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Timmis, J. and Nicosia, G. (2022) Assessing ranking and effectiveness of evolutionary algorithm hyperparameters using global sensitivity analysis methodologies. Swarm and Evolutionary Computation, 74. 101130. ISSN 2210-6502 doi: https://doi.org/10.1016/j.swevo.2022.101130

Amaradio, M. N., Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Jansen, G., Gulisano, M., Costanza, J. and Nicosia, G. (2022) Pareto optimal metabolic engineering for the growth-coupled overproduction of sustainable chemicals. Biotechnology and Bioengineering, 119 (7). pp. 1890-1902. ISSN 0006-3592 doi: https://doi.org/10.1002/bit.28103

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 and Nicosia, G. (2022) Backpropagation neural tree. Neural Networks, 149. ISSN 0893-6080 doi: https://doi.org/10.1016/j.neunet.2022.02.003

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Jansen, G., Patanè, A., La Magna, A., Romano, V. and Nicosia, G. ORCID: https://orcid.org/0000-0002-0650-3157 (2022) Design and characterization of effective solar cells. Energy Systems, 13. pp. 355-382. ISSN 1868-3967 doi: https://doi.org/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, September 14-17, 2021, Bratislava, Slovakia (Online), pp. 16-28. doi: https://doi.org/10.1007/978-3-030-86362-3_2

Vandaele, R., Dance, S. L. ORCID: https://orcid.org/0000-0003-1690-3338 and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2021) Deep learning for automated river-level monitoring through river camera images: an approach based on water segmentation and transfer learning. Hydrology and Earth System Sciences, 25 (8). pp. 4435-4453. ISSN 1027-5606 doi: https://doi.org/10.5194/hess-25-4435-2021

Ward, B., Pravin, C., Chetcuti, A., Hayashi, Y. 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, 12-15 December 2020, https://link.springer.com/conference/isda, pp. 117-127. doi: https://doi.org/10.1007/978-3-030-71187-0_11

Shergill, J. S., Pravin, C. and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2021) Accent and gender recognition from English language speech and audio using signal processing and deep learning. In: International Conference on Hybrid Intelligent Systems, 14-16 Dec 2020, pp. 62-72. doi: https://doi.org/10.1007/978-3-030-73050-5_7

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), 28 Sep - 1 Oct 2020, pp. 232-245. doi: https://doi.org/10.1007/978-3-030-71278-5

Taylor, R., Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Martino, I. and Nicosia, G. (2021) Sensitivity analysis for deep learning: ranking hyper-parameter influence. In: 33rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI2021), 1-3 NOV 2021, Online. doi: https://doi.org/10.1109/ICTAI52525.2021.00083

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, 12-15 December 2020, online, pp. 140-149. doi: https://doi.org/10.1007/978-3-030-71187-0_13 (Intelligent Systems Design and Applications. ISDA 2020. Advances in Intelligent Systems and Computing, vol 1351.)

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), 19-24 July 2020, Glasgow, Scotland, UK. doi: https://doi.org/10.1109/CEC48606.2020.9185600

Pravin, C. and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2020) 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), 14-17 Dec 2020, Miami, Florida. doi: https://doi.org/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, 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: https://doi.org/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: https://doi.org/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: https://doi.org/10.3390/ijgi8020052

Ojha, V. K. ORCID: https://orcid.org/0000-0002-9256-1192, Snasel, V. and Abraham, A. (2018) Multiobjective programming for type-2 hierarchical fuzzy inference trees. IEEE Transactions on Fuzzy Systems, 26 (2). pp. 915-936. ISSN 1063-6706 doi: https://doi.org/10.1109/TFUZZ.2017.2698399

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: https://doi.org/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, pp. 1-10. doi: https://doi.org/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: https://doi.org/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: https://doi.org/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: https://doi.org/10.1016/j.asoc.2016.09.035

Basterrech, S. and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2016) Temporal learning using echo state network for human activity recognition. In: 2016 Third European Network Intelligence Conference (ENIC), 5-7 Sep 2016, Wrocław, Poland, pp. 217-223. doi: https://doi.org/10.1109/ENIC.2016.039

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Abraham, A. and Snasel, V. (2016) Ensemble of heterogeneous flexible neural tree for the approximation and feature-selection of Poly (Lactic-co-glycolic Acid) micro-and nanoparticle. In: Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015, Sep 9, 2015 - Sep 11, 2015, Paris - Villejuif, France, pp. 155-165. doi: https://doi.org/10.1007/978-3-319-29504-6_16

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Abraham, A. and Snasel, V. (2016) Metaheuristic tuning of type-II fuzzy inference systems for data mining. In: 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 25-29 Jul 2016, Vancouver, Canada, pp. 610-617. doi: https://doi.org/10.1109/FUZZ-IEEE.2016.7737743

Abdelwahab, S., Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 and Abraham, A. (2016) Neuro-fuzzy risk prediction model for computational grids. In: Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015, Sep 9, 2015 - Sep 11, 2015, Paris - Villejuif, France, pp. 127-136. doi: https://doi.org/10.1007/978-3-319-29504-6_13

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), 25-29 Jul 2016, Vancouver, Canada, pp. 4819-4826. doi: https://doi.org/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 1178-2013 doi: https://doi.org/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, 14-16 Dec 2014, Kuwait, pp. 248-253. doi: https://doi.org/10.1109/HIS.2014.7086207

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Jackowski, K., Abraham, A. and Snásel, V. (2014) Feature selection and ensemble of regression models for predicting the protein macromolecule dissolution profile. In: 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014), 30 July-1 Aug. 2014, Porto, Portugal, pp. 121-126. doi: https://doi.org/10.1109/NaBIC.2014.6921864

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, 28-30 November 2914, Okinawa, Japan, pp. 145-150.

Chatterjee, T., Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Adhikari, M., Banerjee, S., Biswas, U. and Snášel, V. (2014) Design and implementation of an improved datacenter broker policy to improve the QoS of a cloud. In: Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA, 23-25 Jun 2014, Ostrava, Czech Republic, pp. 281-290. doi: https://doi.org/10.1007/978-3-319-08156-4_28

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Jackowski, K., Snášel, V. and Abraham, A. (2014) Dimensionality reduction and prediction of the protein macromolecule dissolution profile. In: The Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA, 23-25 Jun 2014, Ostrava, Czech Republic, pp. 301-310. doi: https://doi.org/10.1007/978-3-319-08156-4_30

Bandyopadhyay, D., Dasgupta, K., Mandal, J. K., Dutta, P., Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 and Snášel, V. (2014) A framework of secured and bio-inspired image steganography using chaotic encryption with genetic algorithm optimization (CEGAO). In: Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA, 23-25 Jun 2014, Ostrava, Czech Republic, pp. 271-280. doi: https://doi.org/10.1007/978-3-319-08156-4_27