Edge wrinkling in elastically supported pre-stressed incompressible isotropic plates

Destrade, M; Fu, Y; Nobili, A

doi:10.1098/rspa.2016.0410

Influence of geometric and physical nonlinearities on the internal resonances of a finite continuous rod with a microstructure (2017)
Journal Article
(2017). Influence of geometric and physical nonlinearities on the internal resonances of a finite continuous rod with a microstructure. Journal of Sound and Vibration, 359-371. https://doi.org/10.1016/j.jsv.2016.09.025

In this work, nonlinear longitudinal vibrations of a finite composite rod are studied including geometric and physical nonlinearities. An original boundary value problem for a heterogeneous rod yielded by the macroscopic approximation obtained earlie... Read More about Influence of geometric and physical nonlinearities on the internal resonances of a finite continuous rod with a microstructure.

GLAUCOMA DIAGNOSIS USING FEATURE LEARNING BASED ON CONVOLUTIONAL NEURAL NETWORK (2016)
Presentation / Conference Contribution
Al-Bander, B., Al-Nuaimy, W., Al-Taee, M., & Zheng, Y. (2016, December). GLAUCOMA DIAGNOSIS USING FEATURE LEARNING BASED ON CONVOLUTIONAL NEURAL NETWORK

Glaucoma is one of the common causes of blindness worldwide. It leads to deterioration in vision and quality of life if it is not cured early. This paper addresses the feasibility of developing an automatic feature learning technique for detecting gl... Read More about GLAUCOMA DIAGNOSIS USING FEATURE LEARNING BASED ON CONVOLUTIONAL NEURAL NETWORK.

Structural Knowledge Extraction from Mobility Data (2016)
Presentation / Conference Contribution
Cottone, P., Gaglio, S., Lo Re, G., Ortolani, M., & Pergola, G. (2016, November). Structural Knowledge Extraction from Mobility Data. Presented at XVth International Conference of the Italian Association for Artificial Intelligence, Genova, Italy

Knowledge extraction has traditionally represented one of the most interesting challenges in AI; in recent years, however, the availability of large collections of data has increased the awareness that “measuring” does not seamlessly translate into “... Read More about Structural Knowledge Extraction from Mobility Data.

Spontaneous Versus Posed Smiles—Can We Tell the Difference? (2016)
Presentation / Conference Contribution
Mandal, B., & Ouarti, N. (2016, February). Spontaneous Versus Posed Smiles—Can We Tell the Difference?. Presented at International Conference on Computer Vision and Image Processing - CVIP 2016, IIT Roorkee, Roorkee India

Smile is an irrefutable expression that shows the physical state of the mind in both true and deceptive ways. Generally, it shows happy state of the mind, however, ‘smiles’ can be deceptive, for example people can give a smile when they feel happy an... Read More about Spontaneous Versus Posed Smiles—Can We Tell the Difference?.

Synthetic Biology Open Language (SBOL) Version 2.1.0. (2016)
Journal Article
(2016). Synthetic Biology Open Language (SBOL) Version 2.1.0. Journal of Integrative Bioinformatics, 291 - ?. https://doi.org/10.2390/biecoll-jib-2016-291

Synthetic biology builds upon the techniques and successes of genetics, molecular biology, and metabolic engineering by applying engineering principles to the design of biological systems. The field still faces substantial challenges, including long... Read More about Synthetic Biology Open Language (SBOL) Version 2.1.0..

Appearance based robot activity recognition system (2016)
Presentation / Conference Contribution
Mandal, B. (2016, November). Appearance based robot activity recognition system. Presented at 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), Phuket, Thailand

Propagation of Floquet–Bloch shear waves in viscoelastic composites: analysis and comparison of interface/interphase models for imperfect bonding (2016)
Journal Article
(2016). Propagation of Floquet–Bloch shear waves in viscoelastic composites: analysis and comparison of interface/interphase models for imperfect bonding. Acta mechanica, 1177-1196. https://doi.org/10.1007/s00707-016-1765-4

The phononic band structure of waves, which travel though composites, results from the geometric and mechanical properties of the materials and from the interaction of the different constituents. In this article, we study two different models to simu... Read More about Propagation of Floquet–Bloch shear waves in viscoelastic composites: analysis and comparison of interface/interphase models for imperfect bonding.

Propagation of Floquet - Bloch shear waves in viscoelastic composites: analysis and comparison of interface/interphase models for imperfect bonding (2016)
Journal Article
(2016). Propagation of Floquet - Bloch shear waves in viscoelastic composites: analysis and comparison of interface/interphase models for imperfect bonding. Acta mechanica, 1177-1196. https://doi.org/10.1007/s00707-016-1765-4

The phononic band structure of waves, which travel though composites, results from the geometric and mechanical properties of the materials and from the interaction of the different constituents. In this article, we study two different models to simu... Read More about Propagation of Floquet - Bloch shear waves in viscoelastic composites: analysis and comparison of interface/interphase models for imperfect bonding.

Face recognition: Perspectives from the real world (2016)
Presentation / Conference Contribution
Mandal, B. (2016, November). Face recognition: Perspectives from the real world. Presented at 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), Phuket, Thailand

In this paper, we analyze some of our real-world deployment of face recognition (FR) systems for various applications and discuss the gaps between expectations of the user and what the system can deliver. We evaluate some of the existing algorithms w... Read More about Face recognition: Perspectives from the real world.

Spectral density of Markov switching models: Derivation, simulation studies and application (2016)
Journal Article
Cheng, J. (2016). Spectral density of Markov switching models: Derivation, simulation studies and application. Model Assisted Statistics and Applications, 44(4), 277-291. https://doi.org/10.3233/MAS-160373

This paper is concerned with frequency domain analysis of Markov mean-switching autoregressive (MMSAR) models, linear Markov switching autoregressive (LMSAR) model and transitional Markov switching autoregressive (TMSAR) model. We derive the general... Read More about Spectral density of Markov switching models: Derivation, simulation studies and application.

Using Convolutional Neural Network for Edge Detection in Musculoskeletal Ultrasound Images (2016)
Presentation / Conference Contribution
Jabbar, S. I., Day, C. R., Heinz, N., & Chadwick, E. K. (2016, July). Using Convolutional Neural Network for Edge Detection in Musculoskeletal Ultrasound Images. Presented at International Joint Conference on Neural Networks, Vancouver

Fast and accurate segmentation of musculoskeletal ultrasound images is an on-going challenge. Two principal factors make this task difficult: firstly, the presence of speckle noise arising from the interference that accompanies all coherent imaging a... Read More about Using Convolutional Neural Network for Edge Detection in Musculoskeletal Ultrasound Images.

On the decidability and complexity of problems for restricted hierarchical hybrid systems (2016)
Journal Article
Bell, P. (2016). On the decidability and complexity of problems for restricted hierarchical hybrid systems. Theoretical Computer Science, 47 - 63. https://doi.org/10.1016/j.tcs.2016.09.003

We study variants of a recently introduced hybrid system model, called a Hierarchical Piecewise Constant Derivative (HPCD). These variants (loosely called Restricted HPCDs) form a class of natural models with similarities to many other well known hyb... Read More about On the decidability and complexity of problems for restricted hierarchical hybrid systems.

Analysis of the dynamics of temporal relationships of neural activities using optical imaging data (2016)
Journal Article
(2016). Analysis of the dynamics of temporal relationships of neural activities using optical imaging data. Journal of Computational Neuroscience, 107 - 121. https://doi.org/10.1007/s10827-016-0630-8

The temporal relationship between the activities of neurons in biological neural systems is critically important for the correct delivery of the functionality of these systems. Fine measurement of temporal relationships of neural activities using mic... Read More about Analysis of the dynamics of temporal relationships of neural activities using optical imaging data.

Analysis of the dynamics of temporal relationships of neural activities using optical imaging data (2016)
Journal Article
(2016). Analysis of the dynamics of temporal relationships of neural activities using optical imaging data. Journal of Computational Neuroscience, 107-121. https://doi.org/10.1007/s10827-016-0630-8

The temporal relationship between the activities of neurons in biological neural systems is critically important for the correct delivery of the functionality of these systems. Fine measurement of temporal relationships of neural activities using mic... Read More about Analysis of the dynamics of temporal relationships of neural activities using optical imaging data.

Promise and Perils of Dynamic Sensitivity Control in IEEE 802.11ax WLANs (2016)
Presentation / Conference Contribution
Zhong, Z., Cao, F., Kulkarni, P., & Fan, Z. (2016, September). Promise and Perils of Dynamic Sensitivity Control in IEEE 802.11ax WLANs. Presented at 2016 13TH INTERNATIONAL SYMPOSIUM ON WIRELESS COMMUNICATION SYSTEMS (ISWCS, Poznan, Poland

Dynamic sensitivity control (DSC) is being discussed within the new IEEE 802.11ax task group as one of the potential techniques to improve the system performance for next generation Wi-Fi in high capacity and dense deployment environments, e.g. stadi... Read More about Promise and Perils of Dynamic Sensitivity Control in IEEE 802.11ax WLANs.

Diabetic macular edema grading based on deep neural networks (2016)
Presentation / Conference Contribution
Al-Bander, B., Al-Nuaimy, W., Al-Taee, M. A., Williams, B. M., & Zheng, Y. Diabetic macular edema grading based on deep neural networks. Presented at Ophthalmic Medical Image Analysis Third International Workshop, Athens, Greece

Diabetic Macular Edema (DME) is a major cause of vision loss in diabetes. Its early detection and treatment is therefore a vital task in management of diabetic retinopathy. In this paper, we propose a new featurelearning approach for grading the seve... Read More about Diabetic macular edema grading based on deep neural networks.

Vision and Memory: Looking Beyond Immediate Visual Perception (2016)
Book Chapter
Tan, C., Lallee, S., & Mandal, B. (2017). Vision and Memory: Looking Beyond Immediate Visual Perception. In Computational and Cognitive Neuroscience of Vision (195-219). Springer. https://doi.org/10.1007/978-981-10-0213-7_9

The topic of vision is “often studied as if our conscious experience were the ultimate end-product of visual processing” (Hayhoe 2009), with research sometimes overly focused on immediate visual perception—processes aimed at understanding the current... Read More about Vision and Memory: Looking Beyond Immediate Visual Perception.

Analysis of Social Learning Strategies when Discovering and Maintaining Behaviours Inaccessible to Incremental Genetic Evolution (2016)
Book Chapter
Channon, A., Jolley, B., & Borg, J. (2016). Analysis of Social Learning Strategies when Discovering and Maintaining Behaviours Inaccessible to Incremental Genetic Evolution. In From Animals to Animats 14: The Fourteenth International Conference on Simulation of Adaptive Behavior (SAB 2016) (293-304). https://doi.org/10.1007/978-3-319-43488-9_26

Unsupervised home monitoring of Parkinson's disease motor symptoms using body-worn accelerometers (2016)
Journal Article
(2016). Unsupervised home monitoring of Parkinson's disease motor symptoms using body-worn accelerometers. https://doi.org/10.1016/j.parkreldis.2016.09.009

Introduction
Current PD assessment methods have inherent limitations. There is need for an objective method to assist clinical decisions and to facilitate evaluation of treatments. Accelerometers, and analysis using artificial neural networks (ANN),... Read More about Unsupervised home monitoring of Parkinson's disease motor symptoms using body-worn accelerometers.

Edge wrinkling in elastically supported pre-stressed incompressible isotropic plates (2016)
Journal Article
Destrade, M., Fu, Y., & Nobili, A. (2016). Edge wrinkling in elastically supported pre-stressed incompressible isotropic plates. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 20160410 -?. https://doi.org/10.1098/rspa.2016.0410

The equations governing the appearance of flexural static perturbations at the edge of a semi-infinite thin elastic isotropic plate, subjected to a state of homogeneous bi-axial pre-stress, are derived and solved. The plate is incompressible and supp... Read More about Edge wrinkling in elastically supported pre-stressed incompressible isotropic plates.

All Outputs (1080)