Select Publications
By Mo Hossny
Book Chapters
2024, 'LiDAR Inpainting of UAV Based 3D Point Cloud Using Supervised Learning', in , pp. 203 - 214, http://dx.doi.org/10.1007/978-981-99-8388-9_17
,2022, 'Autonomous UAV Navigation in Wilderness Search-and-Rescue Operations Using Deep Reinforcement Learning', in , pp. 733 - 746, http://dx.doi.org/10.1007/978-3-031-22695-3_51
,2008, 'Feature-based image fusion quality metrics', in , pp. 469 - 478, http://dx.doi.org/10.1007/978-3-540-88513-9_51
,Journal articles
2024, 'Decision tree insights analytics (DTIA) tool: an analytic framework to identify insights from large data records across fields of science', Machine Learning: Science and Technology, 5, http://dx.doi.org/10.1088/2632-2153/ad7f23
,2023, 'VoxelScape: Large Scale Simulated 3D Point Cloud Dataset of Urban Traffic Environments', IEEE Transactions on Intelligent Transportation Systems, 24, pp. 9435 - 9448, http://dx.doi.org/10.1109/TITS.2023.3271414
,2022, 'Building a Sky Shepherd for the future of agriculture', Smart Agricultural Technology, 3, http://dx.doi.org/10.1016/j.atech.2022.100137
,2022, 'An ocular biomechanics environment for reinforcement learning', Journal of Biomechanics, 133, http://dx.doi.org/10.1016/j.jbiomech.2022.110943
,2021, 'Measuring the likelihood of VR visual fatigue through ocular biomechanics', Displays, 70, http://dx.doi.org/10.1016/j.displa.2021.102105
,2021, 'Refined Continuous Control of DDPG Actors via Parametrised Activation', AI (Switzerland), 2, pp. 464 - 476, http://dx.doi.org/10.3390/ai2040029
,2021, 'Fast intent prediction of multi-cyclists in 3D point cloud data using deep neural networks', Neurocomputing, 465, pp. 205 - 214, http://dx.doi.org/10.1016/j.neucom.2021.09.008
,2020, 'Detecting shielded explosives by coupling prompt gamma neutron activation analysis and deep neural networks', Scientific Reports, 10, pp. 13467, http://dx.doi.org/10.1038/s41598-020-70537-6
,2020, 'Contextual Recurrent Predictive Model for Long-Term Intent Prediction of Vulnerable Road Users', IEEE Transactions on Intelligent Transportation Systems, 21, pp. 3398 - 3408, http://dx.doi.org/10.1109/TITS.2019.2927770
,2020, 'Realistic hair simulator for skin lesion images: A novel benchemarking tool', Artificial Intelligence in Medicine, 108, http://dx.doi.org/10.1016/j.artmed.2020.101933
,2020, 'Just Don’t Fall: An AI Agent’s Learning Journey Towards Posture Stabilisation', AI (Switzerland), 1, pp. 286 - 298, http://dx.doi.org/10.3390/ai1020019
,2020, 'Spatio-temporal DenseNet for real-time intent prediction of pedestrians in urban traffic environments', Neurocomputing, 386, pp. 317 - 324, http://dx.doi.org/10.1016/j.neucom.2019.12.091
,2020, 'Artificial Intelligence in Dermatology—Where We Are and the Way to the Future: A Review', American Journal of Clinical Dermatology, 21, pp. 41 - 47, http://dx.doi.org/10.1007/s40257-019-00462-6
,2020, 'Feels like dancing: Motion capture–driven haptic interface as an added sensory experience for dance viewing', Leonardo, 53, pp. 45 - 49, http://dx.doi.org/10.1162/leon_a_01689
,2019, 'Using biomechanics to investigate the effect of VR on eye vergence system', Applied Ergonomics, 81, http://dx.doi.org/10.1016/j.apergo.2019.102883
,2019, 'RGB-D ergonomic assessment system of adopted working postures', Applied Ergonomics, 80, pp. 75 - 88, http://dx.doi.org/10.1016/j.apergo.2019.05.004
,2019, 'Digital hair segmentation using hybrid convolutional and recurrent neural networks architecture', Computer Methods and Programs in Biomedicine, 177, pp. 17 - 30, http://dx.doi.org/10.1016/j.cmpb.2019.05.010
,2019, 'From car sickness to autonomous car sickness: A review', Transportation Research Part F: Traffic Psychology and Behaviour, 62, pp. 716 - 726, http://dx.doi.org/10.1016/j.trf.2019.02.020
,2018, 'Intent Prediction of Pedestrians via Motion Trajectories Using Stacked Recurrent Neural Networks', IEEE Transactions on Intelligent Vehicles, 3, pp. 414 - 424, http://dx.doi.org/10.1109/TIV.2018.2873901
,2018, 'Realistic Hair Simulator for Skin lesion Images Using Conditional Generative Adversarial Network', , http://dx.doi.org/10.20944/preprints201810.0756.v1
,2018, 'A skeleton-free fall detection system from depth images using random decision forest', IEEE Systems Journal, 12, pp. 2994 - 3005, http://dx.doi.org/10.1109/JSYST.2017.2780260
,2018, 'Effective vehicle-based kangaroo detection for collision warning systems using region-based convolutional networks', Sensors (Switzerland), 18, http://dx.doi.org/10.3390/s18061913
,2018, 'An ocular biomechanic model for dynamic simulation of different eye movements', Journal of Biomechanics, 71, pp. 208 - 216, http://dx.doi.org/10.1016/j.jbiomech.2018.02.006
,2018, 'A Review on Ocular Biomechanic Models for Assessing Visual Fatigue in Virtual Reality', IEEE Access, 6, pp. 19345 - 19361, http://dx.doi.org/10.1109/ACCESS.2018.2815663
,2017, 'Enhanced decision fusion of semantically segmented images via local majority saliency map', Electronics Letters, 53, pp. 1036 - 1038, http://dx.doi.org/10.1049/el.2016.4709
,2017, 'Skeleton-free RULA ergonomic assessment using Kinect sensors', Intelligent Decision Technologies, 11, pp. 275 - 284, http://dx.doi.org/10.3233/IDT-170292
,2014, 'Recent advances on singlemodal and multimodal face recognition: A survey', IEEE Transactions on Human-Machine Systems, 44, pp. 701 - 716, http://dx.doi.org/10.1109/THMS.2014.2340578
,2010, 'Image fusion performance metric based on mutual information and entropy driven quadtree decomposition', Electronics Letters, 46, pp. 1266 - 1268, http://dx.doi.org/10.1049/el.2010.1778
,2010, 'Haptics enabled of ine AFM image analysis', World Academy of Science, Engineering and Technology, 68, pp. 346 - 351
,2009, 'Haptics enabled of ine AFM image analysis', World Academy of Science, Engineering and Technology, 37, pp. 646 - 651
,2008, 'Comments on 'Information measure for performance of image fusion'', Electronics Letters, 44, pp. 1066 - 1067, http://dx.doi.org/10.1049/el:20081754
,Conference Papers
2020, 'Fuzzy Model Predictive Control of a Quadrotor Unmanned Aerial Vehicle', in 2020 International Conference on Unmanned Aircraft Systems, ICUAS 2020, pp. 1704 - 1713, http://dx.doi.org/10.1109/ICUAS48674.2020.9213902
,2019, 'A k-NN classification based VR user verification using eye movement and ocular biomechanics', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 1844 - 1848, http://dx.doi.org/10.1109/SMC.2019.8914577
,2019, 'Cyclist Intent Prediction using 3D LIDAR Sensors for Fully Automated Vehicles', in 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, pp. 2020 - 2026, http://dx.doi.org/10.1109/ITSC.2019.8917291
,2019, 'Domain adaptation for vehicle detection from bird's eye view lidar point cloud data', in Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019, pp. 3235 - 3242, http://dx.doi.org/10.1109/ICCVW.2019.00404
,2019, 'Exploring the effect of virtual depth on pupil diameter', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 1849 - 1854, http://dx.doi.org/10.1109/SMC.2019.8913975
,2019, 'Fingerprint synthesis via latent space representation', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 1855 - 1861, http://dx.doi.org/10.1109/SMC.2019.8914499
,2019, 'High frame rate photorealistic flame rendering via generative adversarial networks', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 2391 - 2396, http://dx.doi.org/10.1109/SMC.2019.8914043
,2019, 'SSDPose: A single shot deep pose estimation and analysis', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 1862 - 1868, http://dx.doi.org/10.1109/SMC.2019.8913964
,2019, 'SSIMLayer: Towards robust deep representation learning via nonlinear structural similarity', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 1234 - 1238, http://dx.doi.org/10.1109/SMC.2019.8914521
,2019, 'Real-time intent prediction of pedestrians for autonomous ground vehicles via spatio-temporal dense net', in Proceedings - IEEE International Conference on Robotics and Automation, pp. 9704 - 9710, http://dx.doi.org/10.1109/ICRA.2019.8793991
,2019, 'Development of a cloud-based computational framework for an empathetic robot', in ACM International Conference Proceeding Series, pp. 102 - 108, http://dx.doi.org/10.1145/3313991.3314018
,2019, 'Long-Term Recurrent Predictive Model for Intent Prediction of Pedestrians via Inverse Reinforcement Learning', in 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018, http://dx.doi.org/10.1109/DICTA.2018.8615854
,2019, 'RGB-D Fall Detection via Deep Residual Convolutional LSTM Networks', in 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018, http://dx.doi.org/10.1109/DICTA.2018.8615759
,2018, 'A Pilot Study on Footprint Posture Classification of Passengers in Light Rail Public Transport via Deep Convolutional Neural Networks', in IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, pp. 2724 - 2728, http://dx.doi.org/10.1109/ITSC.2018.8569589
,2018, 'A Frequency Domain Classifier of Steady-State Visual Evoked Potentials Using Deep Separable Convolutional Neural Networks', in Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, pp. 2134 - 2139, http://dx.doi.org/10.1109/SMC.2018.00367
,2018, 'A Low Cost Anthropometric Body Scanning System Using Depth Cameras', in Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, pp. 3486 - 3491, http://dx.doi.org/10.1109/SMC.2018.00590
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