Deep recurrent neural networks with attention mechanisms for respiratory anomaly classification.

Wall, Conor; Zhang, Li; Yu, Yonghong; Mistry, Kamlesh

doi:10.1109/ijcnn52387.2021.9533966

Daylight, view-out, and windows: the sensorial-based design of Ottoman-era mosques. (2021)
Conference Proceeding
BELAKEHAL, A., TABET AOUL, K.A., BENNADJI, A., BENKHALFALLAH, I. and BOUNHAS, D. 2021. Daylight, view-out, and windows: the sensorial-based design of Ottoman-era mosques. In Tabet Aoul, K.A., Shafiq, M.T. and Attoye, D.E. (eds.) Proceedings of 8th Zero energy mass custom home international conference 2021 (ZEMCH 2021), 26-28 October 2021, Dubai, UAE. Al Ain: ZEMCH Network [online], pages 285-302. Available from: http://zemch.org/proceedings/2021/ZEMCH2021.pdf

Daylighting and outside view, as window design parameters, are often the main ambience-generating design factors that connect the users' sensorial relationship to their external environment. These relationships and their resulting ambiences vary by b... Read More about Daylight, view-out, and windows: the sensorial-based design of Ottoman-era mosques..

TrustMod: a trust management module for NS-3 simulator. (2021)
Conference Proceeding
HAJAR, M.S., KALUTARAGE, H. and AL-KADRI, M.O. 2021. TrustMod: a trust management module for NS-3 simulator. In Zhao, L., Kumar, N., Hsu, R.C. and Zou, D. (eds.) Proceedings of 20th IEEE (Institute of Electrical and Electronics Engineers) International conference on Trust, security and privacy in computing and communications 2021 (IEEE TrustCom 2021), 20-21 October 2021, Shenyang, China: [virtual event]. Piscataway: IEEE [online], pages 51-60. Available from: https://doi.org/10.1109/TrustCom53373.2021.00025

Trust management offers a further level of defense against internal attacks in ad hoc networks. Deploying an effective trust management scheme can reinforce the overall network security. Regardless of limitations, however, security researchers often... Read More about TrustMod: a trust management module for NS-3 simulator..

Autonomous CPSoS for cognitive large manufacturing industries. (2021)
Conference Proceeding
SANTOFIMIA, M.J., VILLANUEVA, F.J., CABA, J., FERNANDEZ-BERMEJO, J., DEL TORO, X., WIRATUNGA, N., TRAPERO, J.R., RUBIO, A., SALVADORI, C. and LOPEZ, J.C. 2021. Autonomous CPSoS for cognitive large manufacturing industries. In Proceedings of 47th Institute of Electrical and Electronics Engineers (IEEE) Industrial Electronics Society annual conference 2021 (IECON 2021), 13-16 October 2021, [virtual conference]. Piscataway: IEEE [online], article 9589159. Available from: https://doi.org/10.1109/IECON48115.2021.9589159

The general aim of a cognitive Cyber Physical System of Systems (CPSoS) is to provide managed access to data in a smart fashion such that sensing and actuation capabilities are connected. Whilst there is significant funding and research devoted to th... Read More about Autonomous CPSoS for cognitive large manufacturing industries..

Bioluminescent pavilion: temporary architecture provides lighting. (2021)
Conference Proceeding
FIAMEGKOU, T. and DOUNAS, T. 2021. Bioluminescent pavilion: temporary architecture provides lighting. In Proceedings of the 2021 Design computation input/output conference (DC I/O 2021), 6-8 October 2021, [virtual event]. London: Design Computation [online]. Available from: https://doi.org/10.47330/dcio.2021.jtct3860

The present study will evolve around the design of a pavilion located at key points in the Aberdeen city. The structure will provide low intensity lighting using bioluminescent organisms on its inner and outer surface. For the creation of the design,... Read More about Bioluminescent pavilion: temporary architecture provides lighting..

A next-generation telemedicine and health advice system. (2021)
Conference Proceeding
SIDDIQUI, S., HOPGOOD, A., GOOD, A., GEGOV, A., HOSSAIN, E., RAHMAN, W., FERDOUS, R., ARIFEEN, M. and KHAN, Z. 2021. A next-generation telemedicine and health advice system. In Yang, X.-S., Sherratt, S., Dey, N. and Joshi, A. (eds.) Proceedings of sixth International congress on information and communication technology, 25-26 February 2021, London, UK. Lecture notes in networks and systems, 236. Singapore: Springer [online], pages 981-989. Available from: https://doi.org/10.1007/978-981-16-2380-6_87

This project aims to create a real-time health advice platform andtelemedicine system that can reach healthcare providers and healthcare deprived people. A pragmatic approach is being used to understand the research problem of this study, which allow... Read More about A next-generation telemedicine and health advice system..

Actionable feature discovery in counterfactuals using feature relevance explainers. (2021)
Conference Proceeding
WIRATUNGA, N., WIJEKOON, A., NKISI-ORJI, I., MARTIN, K., PALIHAWADANA, C. and CORSAR, D. 2021. Actionable feature discovery in counterfactuals using feature relevance explainers. In Borck, H., Eisenstadt, V., Sánchez-Ruiz, A. and Floyd, M. (eds.) Workshop proceedings of the 29th International conference on case-based reasoning (ICCBR-WS 2021), 13-16 September 2021, [virtual event]. CEUR workshop proceedings, 3017. Aachen: CEUR-WS [online], pages 63-74. Available from: http://ceur-ws.org/Vol-3017/101.pdf

Counterfactual explanations focus on 'actionable knowledge' to help end-users understand how a Machine Learning model outcome could be changed to a more desirable outcome. For this purpose a counterfactual explainer needs to be able to reason with si... Read More about Actionable feature discovery in counterfactuals using feature relevance explainers..

Agents United: an open platform for multi-agent conversational systems. (2021)
Conference Proceeding
BEINEMA, T., DAVISON, D., REIDSMA, D. et al. 2021. Agents United: an open platform for multi-agent conversational systems. In Proceedings of 21st ACM (Association for Computing Machinery) Intelligent virtual agents international conference 2021 (IVA '21), 14-17 September 2021, [virtual conference]. New York: ACM [online], pages 17-24. Available from: https://doi.org/10.1145/3472306.3478352

The development of applications with intelligent virtual agents (IVA) often comes with integration of multiple complex components. In this article we present the Agents United Platform: an open source platform that researchers and developers can use... Read More about Agents United: an open platform for multi-agent conversational systems..

Chemical detection of explosives in soil for locating buried landmines. (2021)
Conference Proceeding
KARNIK, S. and PRABHU, R. 2021. Chemical detection of explosives in soil for locating buried landmines. In Bouma, H., Prabhu, R., Stokes, R.J. and Yitzhaky, Y. (eds.) Proceedings of the 5th Counterterrorism, crime fighting, forensics, and surveillance technologies conference, part of the 2021 SPIE Security + defence conference, 13-17 September 2021, [virtual conference]. Proceedings of SPIE, 11869. Bellingham, WA: SPIE [online], article ID 118690A. Available from: https://doi.org/10.1117/12.2601741

Trinitrotoluene (TNT) is a highly explosive nitroaromatic compound that is used for military and terrorist activities such as the development of improvised explosive devices (IEDs), landmines and is the main charge or explosive in most of the anti-pe... Read More about Chemical detection of explosives in soil for locating buried landmines..

A case-based approach to data-to-text generation. (2021)
Conference Proceeding
UPADHYAY, A., MASSIE, S., SINGH, R.K., GUPTA, G. and OJHA, M. 2021. A case-based approach to data-to-text generation. In Sánchez-Ruiz, A.A. and Floyd, M.W. (eds.) Case-based reasoning research and development: proceedings of 29th International conference case-based reasoning 2021 (ICCBR 2021), 13-16 September 2021, Salamanca, Spain. Lecture notes in computer science (LNCS), 12877. Cham: Springer [online], pages 232-247. Available from: https://doi.org/10.1007/978-3-030-86957-1_16

Traditional Data-to-Text Generation (D2T) systems utilise carefully crafted domain specific rules and templates to generate high quality accurate texts. More recent approaches use neural systems to learn domain rules from the training data to produce... Read More about A case-based approach to data-to-text generation..

Forensic delay analysis: an investigation of the reasons for disagreements in time-related disputes. (2021)
Conference Proceeding
ATANASOV, V., GREENWOOD, D., THURAIRAJAH, N. and HATCHER, C. 2021. Forensic delay analysis: an investigation of the reasons for disagreements in time-related disputes. In Scott, L., Neilson, C.J. (eds.) Proceedings of 37th ARCOM (Association of Researchers in Construction Management) annual conference 2021: recover, rebuild and renew: shifting mindsets and practices to change the future, 6-7 September 2021, [virtual conference]. Leeds: ARCOM [online], pages 460-469. Available from: http://www.arcom.ac.uk/-docs/proceedings/c53e4fee934df27582826028fc94751f.pdf

Construction project delays are widespread and persistent. Disputes frequently occur, and their complexity and value has produced a role for experts specialising in Forensic Delay Analysis (FDA). Previous literature suggests that the main problem (an... Read More about Forensic delay analysis: an investigation of the reasons for disagreements in time-related disputes..

Linked MaaS: a vision for leveraging semantic web technologies for mobility as a service. (2021)
Conference Proceeding
GHAZY, S., YING, W.J., COLPAERT, P., TANG, Y.H. and CHAN, A. 2021. Linked MaaS: a vision for leveraging semantic web technologies for mobility as a service. In Chaves-Fraga, D., Colpaert, P., Sadeghi, M., Scrocca, M. and Comerio, M. (eds.) Proceedings of the 3rd International workshop on semantics and the web for transport (Sem4Tra 2021), co-located with the 2021 Semantics conference (SEMANTICS 2021), 6 September 2021, [virtual event]. CEUR workshop proceedings, 2939. Aachen: CEUR-WS [online]. Available from: https://ceur-ws.org/Vol-2939/paper4.pdf

Mobility as a Service (MaaS) promises to dissolve the boundaries of today's transport network through the integration of transport modes. However, stakeholders such as the operators, public transport authorities, or end-user routing application devel... Read More about Linked MaaS: a vision for leveraging semantic web technologies for mobility as a service..

A deep learning digitisation framework to mark up corrosion circuits in piping and instrumentation diagrams. (2021)
Conference Proceeding
TORAL, L., MORENO-GARCIA, C.F., ELYAN, E. and MEMON, S. 2021. A deep learning digitisation framework to mark up corrosion circuits in piping and instrumentation diagrams. In Barney Smith, E.H. and Pal, U. (eds.) Document analysis and recognition: ICDAR 2021 workshops, part II: proceedings of 16th International conference on document analysis and recognition 2021 (ICDAR 2021), 5-10 September 2021, Lausanne, Switzerland. Lecture notes in computer science, 12917. Cham: Springer [online], pages 268-276. Available from: https://doi.org/10.1007/978-3-030-86159-9_18

Corrosion circuit mark up in engineering drawings is one of the most crucial tasks performed by engineers. This process is currently done manually, which can result in errors and misinterpretations depending on the person assigned for the task. In th... Read More about A deep learning digitisation framework to mark up corrosion circuits in piping and instrumentation diagrams..

Towards a declarative approach to constructing dialogue games. (2021)
Conference Proceeding
SNAITH, M. and WELLS, S. 2021. Towards a declarative approach to constructing dialogue games. In Grasso, F., Green, N.L., Schneider, J. and Wells, S. (eds.) Proceedings of the 21st Workshop on computational models on natural argument (CMNA 2021), 2-3 September 2021, [virtual conference]. CEUR workshop proceedings, 2937. Aachen: CEUR-WS [online], pages 9-18. Available from: http://ceur-ws.org/Vol-2937/paper2.pdf

In this paper we sketch a new approach to the development of dialogue games that builds upon the knowledge gained from several decades of dialogue game research across a variety of communities and which leverages the capabilities of the Dialogue Game... Read More about Towards a declarative approach to constructing dialogue games..

Cost-effective and efficient detection of autism from screening test data using light gradient boosting machine. (2021)
Conference Proceeding
KAMMA, S.P., BANO, S., NIHARIKA, G.L., CHILUKURI, G.S. and GHANTA, D. 2022. Cost-effective and efficient detection of autism from screening test data using light gradient boosting machine. In Raj, J.S., Palanisamy, R., Perikos, I. and Shi, Y. (eds.) Proceedings of the 4th International conference on intelligent sustainable systems (ICISS 2021), 26-27 February 2021, Tirunelveli, India. Lecture notes in networks and systems, 213. Singapore: Springer [online], pages 777-789. Available from: https://doi.org/10.1007/978-981-16-2422-3_61

Autism spectrum disorder (ASD) is a developmental disorder that affects the brain. Autism constrains a person’s ability to interact and communicate with others. The cause of autism, in general, is unknown though genetics does play a role in the manif... Read More about Cost-effective and efficient detection of autism from screening test data using light gradient boosting machine..

Predicting multicomponent gas transport in hybrid inorganic membranes. (2021)
Conference Proceeding
GOBINA, E., SHEHU, H. and ORAKWE, I. 2021. Predicting multicomponent gas transport in hybrid inorganic membranes. In Proceedings of the ICANM 2021: 8th International conference and exhibition on advanced and nanomaterials 2021 (ICANM 2021), 9-11 August 2021, [virtual conference]. Ontario: ICANM, pages 47-56.

A repeated dip-coating technique has been used to prepare novel inorganic multilayered membranes. The membranes have been characterizated by Scanning Electron Microscopy (SEM) and nitrogen adsorption (ASAP 2010) respectively. The three-parameter mode... Read More about Predicting multicomponent gas transport in hybrid inorganic membranes..

The effect of pressure and porous media structural parameters coupling on gas apparent viscosity. (2021)
Conference Proceeding
ABUNUMAH, O., OGUNLUDE, P. and GOBINA, E. 2021. The effect of pressure and porous media structural parameters coupling on gas apparent viscosity. In Proceedings of the ICANM 2021: 8th International conference and exhibition on advanced and nanomaterials 2021 (ICANM 2021), 9-11 August 2021, [virtual conference]. Ontario: ICANM, pages 42-46.

Crude oil production is still considered a significant contributor to global energy security. To improve oil production, gases such as CH4, N2, Air and CO2 are injected into oil reservoirs in a process called gas Enhanced Oil Recovery (EOR). Authors... Read More about The effect of pressure and porous media structural parameters coupling on gas apparent viscosity..

A study of biogas upgrading to bio-methane with carbon dioxide capture using ceramic membranes. (2021)
Conference Proceeding
OGUNLUDE, P., ABUNUMAH, O., MOHAMMAD-SUKKI, F. and GOBINA, E. 2021. A study of biogas upgrading to bio-methane with carbon dioxide capture using ceramic membranes. In Proceedings of the ICANM 2021: 8th International conference and exhibition on advanced and nanomaterials 2021 (ICANM 2021), 9-11 August 2021, [virtual conference]. Ontario: IAEMM, pages 27-33.

Greenhouse gas emissions (GHGs) and their effects have been a matter of global concern over the past decade. With growing energy demands to support developing economies, there has been a challenge of harnessing and utilizing sustainable forms of ener... Read More about A study of biogas upgrading to bio-methane with carbon dioxide capture using ceramic membranes..

Characterization and evaluation of nanoparticles ceramic membrane for the separation of oil-in-water emulsion. (2021)
Conference Proceeding
AISUENI, F.A., OGUON, E., HASHIM, I. and GOBINA, E. 2021. Characterization and evaluation of nanoparticles ceramic membrane for the separation of oil-in-water emulsion. In Proceedings of the ICANM 2021: 8th International conference and exhibition on advanced and nanomaterials 2021 (ICANM 2021), 9-11 August 2021, [virtual conference]. Ontario: ICANM, pages 17-26.

The mixture of oil with water from industrial activities creates an emulsion which is now termed as Oil-in-Water (O/W) emulsion. Several chemical and physical methods have been successfully used for the separation of O/W emulsions; however, the trace... Read More about Characterization and evaluation of nanoparticles ceramic membrane for the separation of oil-in-water emulsion..

Deep neural networks based error level analysis for lossless image compression based forgery detection. (2021)
Conference Proceeding
SRI, C.G., BANO, S., DEEPIKA, T., KOLA, N. and PRANATHI, Y.L. 2021. Deep neural networks based error level analysis for lossless image compression based forgery detection. In Proceedings of the 2021 International conference on intelligent technologies (CONIT 2021), 25-27 June 2021, Hubli, India. Piscataway: IEEE [online]. Available from: https://doi.org/10.1109/CONIT51480.2021.9498357

The proposed model is implemented in deep learning based on counterfeit feature extraction and Error Level Analysis (ELA) techniques. Error level analysis is used to improve the efficiency of distinguishing copy-move images produced by Deep Fake from... Read More about Deep neural networks based error level analysis for lossless image compression based forgery detection..

Deep recurrent neural networks with attention mechanisms for respiratory anomaly classification. (2021)
Conference Proceeding
WALL, C., ZHANG, L., YU, Y. and MISTRY, K. 2021. Deep recurrent neural networks with attention mechanisms for respiratory anomaly classification. In Proceedings of 2021 International joint conference on neural networks (IJCNN 2021), 18-22 July 2021, [virtual conference]. Piscataway: IEEE [online], article 9533966. Available from: https://doi.org/10.1109/IJCNN52387.2021.9533966

In recent years, a variety of deep learning techniques and methods have been adopted to provide AI solutions to issues within the medical field, with one specific area being audio-based classification of medical datasets. This research aims to create... Read More about Deep recurrent neural networks with attention mechanisms for respiratory anomaly classification..

All Outputs (79)