By Mo Hossny

Journal articles

Saleh K; Hossny M; Abobakr A; Attia M; Iskander J, 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

Yaxley K; Reid A; Kenworthy C; Hossny M; Baxter D; Spaulding T; Allworth BM; McGrath SR; Joiner K; Abbass H, 2022, 'Building a Sky Shepherd for the future of agriculture', Smart Agricultural Technology, 3, http://dx.doi.org/10.1016/j.atech.2022.100137

Iskander J; Hossny M, 2022, 'An ocular biomechanics environment for reinforcement learning', Journal of Biomechanics, 133, http://dx.doi.org/10.1016/j.jbiomech.2022.110943

Iskander J; Hossny M, 2021, 'Measuring the likelihood of VR visual fatigue through ocular biomechanics', Displays, 70, http://dx.doi.org/10.1016/j.displa.2021.102105

Hossny M; Iskander J; Attia M; Saleh K; Abobakr A, 2021, 'Refined Continuous Control of DDPG Actors via Parametrised Activation', AI (Switzerland), 2, pp. 464 - 476, http://dx.doi.org/10.3390/ai2040029

Saleh K; Abobakr A; Hossny M; Nahavandi D; Iskander J; Attia M; Nahavandi S, 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

Hossny K; Hossny AH; Magdi S; Soliman AY; Hossny M, 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

Saleh K; Hossny M; Nahavandi S, 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

Attia M; Hossny M; Zhou H; Nahavandi S; Asadi H; Yazdabadi A, 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

Hossny M; Iskander J, 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

Saleh K; Hossny M; Nahavandi S, 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

Hogarty DT; Su JC; Phan K; Attia M; Hossny M; Nahavandi S; Lenane P; Moloney FJ; Yazdabadi A, 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

McCormick J; Hossny M; Fielding M; Mullins J; Vincent JB; Hossny M; Vincs K; Mohamed S; Nahavandi S; Creighton D; Hutchison S, 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

Iskander J; Hossny M; Nahavandi S, 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

Abobakr A; Nahavandi D; Hossny M; Iskander J; Attia M; Nahavandi S; Smets M, 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

Attia M; Hossny M; Zhou H; Nahavandi S; Asadi H; Yazdabadi A, 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

Iskander J; Attia M; Saleh K; Nahavandi D; Abobakr A; Mohamed S; Asadi H; Khosravi A; Lim CP; Hossny M, 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

Saleh K; Hossny M; Nahavandi S, 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

Attia M; Hossny M; Zhou H; Yazdabadi A; Asadi H; Nahavandi S, 2018, 'Realistic Hair Simulator for Skin lesion Images Using Conditional Generative Adversarial Network', , http://dx.doi.org/10.20944/preprints201810.0756.v1

Abobakr A; Hossny M; Nahavandi S, 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

Saleh K; Hossny M; Nahavandi S, 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

Iskander J; Hossny M; Nahavandi S; del Porto L, 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

Iskander J; Hossny M; Nahavandi S, 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

Hossny M; Nahavandi S; Creighton D; Lim C; Bhatti A, 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

Nahavandi D; Hossny M, 2017, 'Skeleton-free RULA ergonomic assessment using Kinect sensors', Intelligent Decision Technologies, 11, pp. 275 - 284, http://dx.doi.org/10.3233/IDT-170292

Zhou H; Mian A; Wei L; Creighton D; Hossny M; Nahavandi S, 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

Hossny M; Nahavandi S; Creighton D; Bhatti A, 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

Bhatti A; Nahavandi S; Hossny M, 2010, 'Haptics enabled of ine AFM image analysis', World Academy of Science, Engineering and Technology, 68, pp. 346 - 351

Bhatti A; Nahavandi S; Hossny M, 2009, 'Haptics enabled of ine AFM image analysis', World Academy of Science, Engineering and Technology, 37, pp. 646 - 651

Hossny M; Nahavandi S; Creighton D, 2008, 'Comments on 'Information measure for performance of image fusion'', Electronics Letters, 44, pp. 1066 - 1067, http://dx.doi.org/10.1049/el:20081754

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