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An ensemble of machine learning and clinician set thresholds for vital signs alarms

- Mai, Shenhan, Balasubramanian, Venki, Arora, Teena

An interpretive study of stakeholders privacy issues in blockchain : a healthcare context

- Singh, Supreet, Firmin, Selena, Chadhar, Mehmood

  • Authors: Singh, Supreet , Firmin, Selena , Chadhar, Mehmood
  • Date: 2022
  • Type: Text , Conference paper
  • Relation: 2022 Australasian Computer Science Week, ACSW 2022, Virtual, Online, 14-17 February 2022, ACM International Conference Proceeding Series p. 235-238
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  • Description: Ever-growing and rapidly changing healthcare information systems (HIS) encourage many new technologies to integrate with it to enrich the treatment and facilitate patients. Blockchain, a decentralised digital ledger, is legitimately disrupting traditional HIS due to its characteristics such as immutability, interoperability, decentralise, and security. Blockchain' applications in healthcare industries are attracting investors and organisations to develop platforms for future. However, security and privacy concerns hinder blockchain adoption in the health sector. Therefore, there is a need to develop deeper understandings about these issues and require strategies to address these issues so that the desired values can be obtained. Besides, privacy could mean different to different people such as patients, doctors, and admin staff. Therefore, there is a need to explore it from various stakeholder perspectives too. Using interpretive qualitative research approach, this research-in-progress will extend the body of knowledge by scrutinising the stakeholders' perception of privacy concerns and its relationship in blockchain based HIS. The findings of this study will contribute to address privacy issues emerged from the research and help to eliminate them before implementing blockchain. This paper supplies an appropriate research approach for multidimensional research in healthcare. In addition, this research-in progress will formulate a framework which provide awareness to stakeholders about privacy issues when they use blockchain based HIS in future. © 2022 ACM.

Application of slope mass rating and kinematic analysis along road cut slopes in the Himalayan terrain

- Siddique, Tariq, Sazid, Mohammed, Khandelwal, Manoj, Varshney, Harsh, Irshad, Sayem

  • Authors: Siddique, Tariq , Sazid, Mohammed , Khandelwal, Manoj , Varshney, Harsh , Irshad, Sayem
  • Date: 2022
  • Type: Text , Conference paper
  • Relation: International Conference on Geotechnical challenges in Mining, Tunneling and Underground structures, ICGMTU 2021, Virtual, Online, 20-21 December 2021, Lecture Notes in Civil Engineering Vol. 228, p. 697-708
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  • Description: Hundreds of fatalities are being reported every year due to rampant slope failures along road-cut engineered slopes in the Himalayan region. Prevailing perilous conditions of cut slopes are mainly due to adverse geological attributes and ever-rising anthropogenic factors. To procure a landslide resilient design along roads in mountainous regions, a systematic geotechnical investigation is required. In this regard, the characterization of vulnerable slopes through empirical classification systems is of paramount importance for geotechnical appraisal. Eleven vulnerable road cut slopes along national highway-5 (NH-5), from Solan to Shimla have been studied herein. The present study incorporates the application of Slope Mass Rating (SMR) and its extensions, including Continuous Slope Mass Rating (CSMR) and Chinese Slope Mass Rating (ChSMR) to study various slopes. The outcomes of SMR and its extensions are used to classify cut slopes into different stability grades. In addition, prevailing structurally controlled failures have also been assessed by kinematic analysis. The majority of slopes are liable to undergo planar and wedge failures. The outcomes obtained by kinematic analysis, SMR and its extensions are used to propose adequate remedial measures. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Behavioral modeling and cognitive assessment in smart textiles

- Oatley, Giles, Choudhury, Tanveer, Buckman, Paul

  • Authors: Oatley, Giles , Choudhury, Tanveer , Buckman, Paul
  • Date: 2022
  • Type: Text , Conference paper
  • Relation: 2022 Australasian Computer Science Week, ACSW 2022, Virtual, Online, 14-17 February 2022, ACM International Conference Proceeding Series p. 229-231
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  • Description: Smart textiles can be used as innovative solutions to amuse, meaningfully engage, comfort, entertain, stimulate, and to overall improve the quality of life for people living in care homes with dementia or its precursor mild cognitive impairment (MCI). We have developed a prototype smart textile system that uses capacitive sensing to loosely couple the textile overlay from the underlying technology layer. This inclusion of technology adds to the user experience and quality of life is increased. Additionally, by using microelectronics, light-emitting diodes (LEDs) and capacitive touch sensors we can represent and design a range of sophisticated memory and reasoning diagnostic/ assessment tools, which are detailed in this paper. © 2022 ACM.

Development of architecture of autonomous hydraulic rock breaker for limestone mines

- Sinha, Aryan, Vasan, Sabari, Nandrekar, Job, Aditya, Umang, Khandelwal, Manoj, Prasad, Naresh, Bhatawdekar, Ramesh, Rathinasamy, Vynotdni

  • Authors: Sinha, Aryan , Vasan, Sabari , Nandrekar, Job , Aditya, Umang , Khandelwal, Manoj , Prasad, Naresh , Bhatawdekar, Ramesh , Rathinasamy, Vynotdni
  • Date: 2022
  • Type: Text , Conference paper
  • Relation: International Conference on Geotechnical challenges in Mining, Tunneling and Underground structures, ICGMTU 2021, Virtual, online, 20-21 December 2021, Lecture Notes in Civil Engineering Vol. 228, p. 683-695
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  • Description: Boulders which are generated during primary blasting are required to undergo secondary blasting prior to crusher operation. Hydraulic rock breaker is one of the techniques which is being utilized to break boulders instead of secondary blasting. This study aims to develop an architecture of AI model for rock breakers with autonomous remote operation. Firstly, several technical specifications of various rock breakers mounted on 30 T class hydraulic rock breakers were evaluated. Also, the factors affecting cost and operation were identified and discussed. Later, the autonomous rock breaker installed on the crusher hopper at a site in Australia was reviewed as global technological advancement. Based on the review, a five-stage architecture for developing autonomous hydraulic rock breaker was developed. The factors affecting the cost of hydraulic excavator and rock breaker can be classified into direct and indirect cost. The direct cost includes operational cost such as oil, replacement of chisel and bucket teeth and wages as well as maintenance cost. Meanwhile, the indirect cost is related to site issues such as locating boulder, boulders jamming crusher, waiting dozer to push boulder, etc. Also, the factors influencing operation of hydraulic hammer shall be classified into very important (i.e. oil flow, chisel diameter), important (i.e. elasticity, impact rate) and desirable (i.e. hardness, chisel length). The five stages architecture for developing autonomous hydraulic rock breaker are development, data collection, data pre-processing, model deployment and model testing. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Digital twin mobility profiling : a spatio-temporal graph learning approach

- Chen, Xin, Hou, Mingliang, Tang, Tao, Kaur, Achhardeep, Xia, Feng

Drill and blast optimisation at an underground copper-gold mine

- Guegan-Brown, Alex, Koroznikova, Larissa, Khandelwal, Manoj

  • Authors: Guegan-Brown, Alex , Koroznikova, Larissa , Khandelwal, Manoj
  • Date: 2022
  • Type: Text , Conference paper
  • Relation: International Conference on Geotechnical challenges in Mining, Tunneling and Underground structures, ICGMTU 2021, Virtual, Online, 20-21 December 2021, Lecture Notes in Civil Engineering Vol. 228, p. 343-354
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  • Description: The process of utilising drill and blast techniques is used to improve mining performance. Drill and blast techniques have been proven to be more efficient and cost-effective compared to conventional mechanical rock breakage with machines. The degree of efficiency of the drill and blast process varies from mine to mine. These influencing factors result in drill and blast patterns that cannot be directly transposed from site to site meaning specific plans need to be developed. When creating new blast plans, unless they are created flawlessly the first-time revision or optimisation is necessary to ensure they are as efficient and effective as possible. The drill and blast patterns can be optimised to reduce the overbreak. A site specifically the current development is mining in both a weaker fragmented shale as well as moving down into a more competent granite. The optimisation will be considered for both types of ground but will have a stronger focus moving into the granite as the mine is approaching the first ore drives which are within the granite rock mass. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Enhancing self-efficacy for fluid management in chronic kidney disease with fitbit and flex

- Oseni, Taiwo, Firmin, Selena

  • Authors: Oseni, Taiwo , Firmin, Selena
  • Date: 2022
  • Type: Text , Conference paper
  • Relation: 2022 Australasian Computer Science Week, ACSW 2022, Virtual, Online, 14-17 February 2022, ACM International Conference Proceeding Series p. 239-241
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  • Description: Chronic kidney disease patients are required to restrict their fluid intake quite severely. Compliance is particularly challenging for many patients but failing to comply can lead to life-threatening consequences. There is some evidence that behaviour change programs based on education are effective, however a program known as Flex that is based on encouraging patients to be more adaptable and adhere less rigidly to a range of habits of daily living has not been evaluated. A core feature of the Flex program is the generation of text messages to remind patients to perform previously agreed habit changes (known as Do's) based on the analysis of Fitbit data. This study aims to apply a constructivist, qualitative methodology with a group of chronic kidney disease patients to assess the extent to which the Flex program has a positive impact on self-efficacy and ultimately on fluid management. © 2022 ACM.

Enhancing Sustainable Development on Land: Using birds of prey to disperse flocks of native birds that threaten resource use and human activities

- Wallis, Robert, Coles, Graeme

Informing app design to reduce self-management challenges identified for chronic disease

- Firmin, Selena, Khurram, Sadaf

  • Authors: Firmin, Selena , Khurram, Sadaf
  • Date: 2022
  • Type: Text , Conference paper
  • Relation: 2022 Australasian Computer Science Week, ACSW 2022, Virtual, Online, 14-17 February 2022, ACM International Conference Proceeding Series p. 246-249
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  • Description: Self-managing chronic diseases is challenging for patients and involves handling a range of long-term treatments. Patients have many responsibilities to manage. Feeling overwhelmed by this information can lead to a sense of hopelessness and depression. Mobile apps can be beneficial support for chronically ill patients to selfmanage their condition. Many apps are available for various purposes, such as fitness and daily wellbeing, but none are customised for chronically ill patients who need to manage their disease daily. The purpose of this paper is to propose an approach to identify the critical challenges faced by patients when self-managing their chronic illness. These challenges will inform the design of a customised mobile app that is user friendly and will assist patients in managing their disease efficiently and effectively. A qualitative interpretive approach analysed through the theoretical lens of the theory of planned behaviour (TPB) is the proposed methodology for this project. Interpretivism is about understanding people in their natural world. The social world of people with chronic illnesses is lonely and isolating. The TPB connects a persons attitudes and behaviour. Understanding chronically ill patients feelings of isolation and helplessness through data gathered by semi-structured open-ended interviews will enable a thematic analysis of the critical challenges chronically ill patients face. This paper provides a unique approach for identifying and analysing critical issues that the chronically ill face from a patient viewpoint. These issues will be used to customise the design of an app for self-management purposes. © 2022 Association for Computing Machinery. All rights reserved.

Intelligent techniques for prediction of drilling rate for percussive drills in topically weathered limestone

- Bhatawdekar, Ramesh, Roy, Bishwajit, Changtham, Saksarid, Khandelwal, Manoj, Armaghani, Danial, Mohamad, Edy, Pathak, Pranjal, Mondal, Subhrojit, Kumar, Radhikesh, Azlan, Mohd

  • Authors: Bhatawdekar, Ramesh , Roy, Bishwajit , Changtham, Saksarid , Khandelwal, Manoj , Armaghani, Danial , Mohamad, Edy , Pathak, Pranjal , Mondal, Subhrojit , Kumar, Radhikesh , Azlan, Mohd
  • Date: 2022
  • Type: Text , Conference paper
  • Relation: International Conference on Geotechnical challenges in Mining, Tunneling and Underground structures, ICGMTU 2021, Virtual, online, 20-21 December 2021, Lecture Notes in Civil Engineering Vol. 228, p. 457-471
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  • Description: Physico-mechanical properties of rocks have a direct correlation with the drilling rate of percussive drill. The prediction of drilling rate is important for the deployment of drills during the planning stage. In tropical climatic regions, limestone is classified as blocky, very blocky, blocky/ seamy and disintegrated based on the degree of weathering. Weathering of limestone takes place very rapidly in tropical (wet) climatic regions. Previous researchers have correlated different individual rock mass properties with rate of drilling. However, single property of limestone is not adequate to correlate with the drilling rate. In this study, sensitivity analysis of different properties of weathered limestone was carried out with respect to drilling rate. Rock density, rock quality designation (RQD), geological strength index (GSI), point load index (PLI) and Schmidt hammer rebound number (SHRN) were identified as crucial input parameters. 113 data sets were collected with the foregoing five input parameters and the output parameter as drilling rate of percussive drills. Data was analysed with multi variable regression analysis (MVRA) which showed R2 value as 0.54. Artificial neural network (ANN) has been widely used for solving various engineering problems. On the other hand, optimization problems are solved by the Biogeography Based Optimization (BBO) model. Further this data was analysed with a hybrid intelligent model namely BBO- ANN. The R2 values for training data set and testing data set 0.638 and 0.761 respectively. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Mechanical performance of tire-derived aggregate permeable pavements under live traffic loads

- Raeesi, Ramin, Soltani, Amin, King, Russell, Disfani, Mahdi

  • Authors: Raeesi, Ramin , Soltani, Amin , King, Russell , Disfani, Mahdi
  • Date: 2022
  • Type: Text , Conference paper
  • Relation: 4th International Conference on Transportation Geotechnics, ICTG 2021 Vol. 164, p. 515-528
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  • Description: Traditional pavements in urban areas are mainly rigid, impervious surfaces, resulting in augmented surface run off during rainfalls, thereby leading to flash-flooding and pollution of waterways. In comparison, permeable pavements permit percolation of water through surface layers, thus alleviating harmful environmental impacts. This study presents the authors’ recent experience in the development of an instrumented large-scale permeable pavement trial site—constructed using a combination of crushed rock (CR) and tire-derived aggregate (TDA), bonded by a polyurethane (PU) binder—located at a car park in South Australia. An area of approximately 400 m2 was paved using different TDA-based mix designs—different CR sizes, colors, and shapes, and different PU contents. Moreover, preliminary field performance monitoring results—including surface deflection measurements by the light weight deflectometer test, and strain measurements using optic fiber and strain gauge sensing techniques—are outlined and discussed in detail. The strength and stiffness of the TDA-based blend was found to be dependent on the TDA content, TDA-to-CR size ratio, CR shape, and PU content. The greater the angularity of the CR particles, the more effective the interlocking of the TDA and CR components, and thus the higher the developed strength and stiffness. The amount of strain generated in the permeable surface layer and at its interface with the lower screening layer were both found to decrease with a decrease in TDA content. Preliminary field observations indicate that the TDA-based system can indeed be a viable (and sustainable) solution to effectively mitigate flash-flooding while sustaining low–medium traffic loads. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Prediction of rockburst using supervised machine learning

- Kishore, Tharun, Khandelwal, Manoj

  • Authors: Kishore, Tharun , Khandelwal, Manoj
  • Date: 2022
  • Type: Text , Conference paper
  • Relation: International Conference on Geotechnical challenges in Mining, Tunneling and Underground structures, ICGMTU 2021, Virtual, online, 20-21 December 2021, Lecture Notes in Civil Engineering Vol. 228, p. 133-154
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  • Description: The rockburst is one of the serious mining hazards, that cause injury, death, damage to mining equipment, and leads to financial problems in mining constructions. At the same time, mining is the major and essential resource of mineral commodities, that all mining locations uncover important for sustaining and enhancing their needs of dwelling. Moreover, mining contributes a significant portion of the GDP (Gross Domestic Production) growth of nations such as China, Australia, Russia, and the USA. These countries play major roles in exporting mineral commodities, which has been creating a huge demand to find out conventional methods for predicting the rockburst occurrence during mining. Moreover, determining rockburst occurrence using formulation or machine-based equipment has not been ideal in showcasing the result, due to changing geological parameters and the mining environment. In recent years, various soft computing and machine learning tools have been developed significantly, which help us to improve predicting models more accurate. In this research, original Rockburst data set have been collected in the last 20 years. Then standard empirical formulation method which is currently used in mining and supervised machine learning models has been used to predict rockburst occurrence. Finally, an interacting machine learning model developed in a way to predict the Rockburst occurrence result in three Indicators (high, medium and low Rockburst) are presented. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Prioritization of clinical alarms using semantic features of vital signs in remote patient monitoring

- Arora, Teena, Balasubramanian, Venki, Mai, Shenhan

  • Authors: Arora, Teena , Balasubramanian, Venki , Mai, Shenhan
  • Date: 2022
  • Type: Text , Conference paper
  • Relation: 2022 Australasian Computer Science Week, ACSW 2022, Virtual, Online, 14-17 February 2022, ACM International Conference Proceeding Series p. 242-245
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  • Description: In recent years remote patient monitoring applications have emerged that can monitor the patient continuously and remotely with the help of wearable sensors that collect physiological data and send it to a telemedicine platform. Sensitivity of the sensor, patient's movement, electromagnetic interference, and data processing algorithms are a few factors that affect the collected data, leading to false alarms, and consequent false alarm leads to alarm fatigue. This study presents novel factors such as trust, frequency, slope, and trend that transform the vital signs raw data from the sensors into semantic data in a remote monitoring application. Experimental results have shown that data transformations lead to a reduction in clinically non-significant alarms and the prioritization of clinically significant alarms. © 2022 ACM.

Revisiting social media in health care : a Bakhtinian carnival perspective

- Ukoha, Chukwuma, Stranieri, Andrew

  • Authors: Ukoha, Chukwuma , Stranieri, Andrew
  • Date: 2022
  • Type: Text , Conference paper
  • Relation: 2022 Australasian Computer Science Week, ACSW 2022, Virtual, Online, 14-17 February 2022, ACM International Conference Proceeding Series p. 254-256
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  • Description: Understanding the value of social media in health care has been a conundrum. Much of the literature in this area focuses on the use of social media for promotion, with very few studies seeking to elucidate how social media yields value in health care settings. This article draws on concepts from 18th century linguist Mikhail Bahktin to explain that social media acts like a Carnival in suspension of behavioral norms, and the provision of a forum for the proliferation of diverse dialogues. As a Carnival, social media plays an important role in encouraging dialogues that would not be appropriate within other spaces in the health care system. As such, social media is playing a pivotal role in changing norms toward shared care and patient empowerment. © 2022 ACM.

Third party data service providers can enhance patient-provider interactions : insights from a Delphi study

- Hashmi, Mustafa, McInnes, Angelique, Stranieri, Andrew, Sahama, Tony

  • Authors: Hashmi, Mustafa , McInnes, Angelique , Stranieri, Andrew , Sahama, Tony
  • Date: 2022
  • Type: Text , Conference paper
  • Relation: 2022 Australasian Computer Science Week, ACSW 2022, Virtual, Online, 14-17 February 2022, ACM International Conference Proceeding Series p. 224-228
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  • Description: Data sharing between financial services organisations has led to a proliferation of third party data service providers that are not parties to transactions but facilitate interactions between them by analysing, manipulating or storing data related to transactions. This has led to widespread legal, technological and sociocultural changes in that sector broadly described as Open-Banking initiatives. Third party service providers have not emerged in the healthcare sector in the same way. This study reports preliminary results of a Delphi study comprising healthcare and financial experts to explore the extent to which third party providers in healthcare is beneficial and feasible. Ensuring the quality of data service provided by third parties was seen to be a critical success factor. A causal loop model was used to describe the inter-dependent factors underpinning this factor. Further investigations to augment the model with Consumer Data Rights and validate empirically are underway. © 2022 ACM.

Ultimate pit limit optimization by computerized and manual methods for Dadiin Khar Tolgoi – 2 coal mine – a case study

- Purevdavaa, Tuvshinzaya, Khandelwal, Manoj

  • Authors: Purevdavaa, Tuvshinzaya , Khandelwal, Manoj
  • Date: 2022
  • Type: Text , Conference paper
  • Relation: International Conference on Geotechnical challenges in Mining, Tunneling and Underground structures, ICGMTU 2021, Virtual, online, 20-21 December 2021, Lecture Notes in Civil Engineering Vol. 228, p. 97-116
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  • Description: Open-pit mine design and long-term planning are crucial parts of the mining industry. It contains the technical plan that must be followed from the beginning of mine development to mine closure. Every deposit can be mined entirely, however, many things need to be carefully considered before mining the whole deposit. An optimal pit outline is one of the most important parameters that affect both the economy and the safety of mining. Therefore, the purpose of this study is to determine the effectiveness of an optimal pit outline by using both software and hand methods based on cost and revenue. This study investigates Dadiin-Khar Tolgoi2’s optimal pit outline and design to maximize the profit of using Surpac and Whittle software. The study compares the economic gain of both entirely extracted proved (B) and probable (C) reserve mines that were designed on the Surpac software and the hand technique of determining optimal pit outline. Whittle software computed that Pit Shell – 27 of Dadiin-Khar Tolgoi – 2 is the best pit outline regarding profit and safety. Besides, entirely mined Pit outline –B and Pit outline – C gives the loss in economics both

Validation framework of bayesian networks in asset management decision-making

- Morey, Stephen, Chattopadhyay, Gopinath, Larkins, Jo-ann

  • Authors: Morey, Stephen , Chattopadhyay, Gopinath , Larkins, Jo-ann
  • Date: 2022
  • Type: Text , Conference paper
  • Relation: International Congress and Workshop on Industrial AI, IAI 2021, Virtual online, 6-7 October 2021, published in Lecture Notes in Mechanical Engineering p. 360-369
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  • Description: Capital-intensive industries are under increasing pressure from capital constraints to extend the life of long-life assets and to defer asset renewals. Assets in most of those industries have complex life-cycle management challenges in aspects of design, manufacture, maintenance and service contracts, the usage environment, and changes in support personnel over the asset life. A significant challenge is the availability and quality of relevant data for informed decision-making in assuring reliability, availability and safety. There is a need for better-informed maintenance decisions and cost-effective interventions in managing the risk and assuring performance of those assets. Bayesian networks have been considered in asset management applications in recent years for addressing these challenges, by modelling of reliability, maintenance decisions, life extension and prognostics, across a wide range of technological domains of complex assets. However, models of long-life assets are challenging to validate, particularly due to issues with data scarcity and quality. A literature review on Bayesian networks in asset management in this paper shows that there is a need for further work in this area. This paper discusses the issues and challenges of validation of Bayesian network models in asset management and draws on findings from literature research to propose a preliminary validation framework for Bayesian network models in life-cycle management applications of capital-intensive long-life assets. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

A Fast and Reliable Blocked Bus Bar Protection Scheme Leveraging on Sampled Value and GOOSE Protection based on IEC 61850 Architecture

- Kumar, Shantanu, Abu-Siada, Ahmed, Das, Narottam, Islam, Syed

  • Authors: Kumar, Shantanu , Abu-Siada, Ahmed , Das, Narottam , Islam, Syed
  • Date: 2021
  • Type: Text , Conference paper
  • Relation: 31st Australasian Universities Power Engineering Conference, AUPEC 2021, Virtual, Online 26 to 30 September 2021, Proceedings of 2021 31st Australasian Universities Power Engineering Conference, AUPEC 2021
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  • Description: Substation Automation System (SAS) is in a matured state and promises to replace conventional protection scheme. It has created a new paradigm in its application for future smart grids. The multifunction features of IEC 61850 facilitate this technology to reliably monitor, protect and control critical assets. Mostly agree, the intelligent electronic devices (IEDs) and substation automation features have the same effect as 'html' had in developing web technology on IT system in 1990's. However, in order to be acceptable completely, this technology needs to gain confidence of end user, it needs to be researched further using multivendor equipment and experimented in a network comprising of complex secondary protection schemes. In this paper, a practical Blocked Busbar Protection (BBP) scheme have been implemented and tested for a single bus bar scheme, leveraging on Sampled Values (SV) and Generic Object Oriented Substation Event (GOOSE) at laboratory to prove its reliability and improvement in technology. This experiment has been carried out for three scenarios in a simulated substation network related to a process plant industry. Furthermore, this laboratory-based experiment with multivendor IEDs evaluated performance of an Ethernet and FO based process bus network to validate overall performance of BBP protection scheme. It concluded with a comparison between digital and conventional protection scheme with recommendation for future applications. © 2021 IEEE.

A secured real-time IoMT application for monitoring isolated COVID-19 patients using edge computing

- Balasubramanian, Venki, Sulthana, Rehena, Stranieri, Andrew, Manoharan, G., Arora, Teena, Srinivasan, Ram, Mahalakshmi, K., Menon, Varun