Acceptable nudge strategies to incentivize the use of wearables and physiolytics at work: A Q-methodology examination

The Covid-19 pandemic has increased the pressure on organizations to ensure health and safety in the workplace. An increasing number of organizations are considering wearables and physiolytics devices as part of their safe return to work programs so as to comply with governments' accountability rules. As with other technologies with ambivalent use (i.e., simultaneously beneficial and harmful), the introduction of these devices in work settings is met with skepticism. In this context, nudging strategies as a way of using design, information, and other ways to manipulate behaviors (system 1 nudge) and choices (system 2 nudge) has gained traction and is often applied alongside the introduction of ambivalent technologies with the aim to "nudge” their use. While the feasibility of different nudge strategies is often studied from only a managerial perspective, where employees' volitional autonomy and dignity is often treated as secondary, we explore which nudges are acceptable from the perspectives of ordinary workers. Using Q-methodology as a more evolutionary and participatory way to design nudges, we describe five basic strategies that are (to varying degrees) acceptable to them: (a) positive reinforcement and fun, (b) controlling the organizational environment, (c) self-responsibility, (d) collective responsibility, and (e) adapting the individual environment. Our findings show that there is a wide range of viewpoints on what is being considered an acceptable nudge and stress the importance of a transparent, equal dialogue between those who design nudges and potential nudgees. © Association for Information Technology Trust 2023.

COVID-19 Instance Segmentation Network Based on Semantic Information Generating Proposals

The CT images of lungs of COVID-19 patients have distinct pathological features, segmenting the lesion area accurately by the method of deep learning, which is of great significance for the diagnosis and treatment of COVID-19 patients. Instance segmentation has higher sensitivity and can output the Bounding Boxes of the lesion region, however, the traditional instance segmentation method is weak in the segmentation of small lesions, and there is still room for improvement in the segmentation accuracy. We propose a instance segmentation network which is called as Semantic R-CNN. Firstly, a semantic segmentation branch is added on the basis of Mask-RCNN, and utilizing the image processing tool Skimage in Python to label the connected domain for the result of semantic segmentation, extracting the rectangular boundaries of connected domain and using them as Proposals, which will replace the Regional Proposal Network in the instance segmentation. Secondly, the Atrous Spatial Pyramid Pooling is introduced into the Feature Pyramid Network, then improving the feature fusion method in FPN. Finally, the cascade method is introduced into the detection branch of the network to optimize the Proposals. Segmentation experiments were carried out on the pathological lesion segmentation data set of CC-CCII, the average accuracy of the semantic segmentation is 40.56mAP, and compared with the Mask-RCNN, it has improved by 9.98mAP. After fusing the results of semantic segmentation and instance segmentation, the Dice coefficient is 80.7%, the sensitivity is 85.8%, and compared with the Inf-Net, it has increased by 1.6% and 8.06% respectively. The proposed network has improved the segmentation accuracy and reduced the false-negatives. © 2022 ACM.

IMPACT OF COVID-19 PANDEMIC ON THE EFFECTIVENESS OF AUTOMOTIVE PRODUCTION LINES-CASE STUDY

Since its discovery, the COVID-19 virus spread all over the world and caused millions of deaths, this paper focuses on studying the impact of the pandemic on the connected and non-connected automotive production lines. This study is developed on two production lines in an automotive manufacturing factory that assembles 700 cars per day and the study is elaborated following two main steps: firstly, studying the impact of the virus spreading on the OEE "Overall Equipment Effectiveness” of the production lines, which is a quantitative metric used for the evaluation of the line effectiveness based on availability, performance and quality, and secondly analyzing the relationship between these factors and the OEE using the Design of Experiments method © 2023, Suranaree Journal of Science and Technology.All Rights Reserved.

Development of digital mental health in Ireland

This paper provides an overview of the development and current status of digital mental health in Ireland. It will present the results of the work carried out on this topic as part of Interreg Europe's eMEN project. This charts the trajectory of digital mental health developments in Ireland across three phases: pre-, mid-, and post-COVID-19 pandemic. Before the pandemic hit, the field of digital mental health was gradually growing through a combination of bottom-up and top-down activities. The pandemic triggered a rapid shift to the online provision of mental health services, which often involved remote consultations via video platforms. As we come out of the pandemic, the focus has shifted to consolidating these pandemic-driven changes, as well as continuing to build on existing initiatives. This article outlines the key elements of each phase, as well discussing certain key issues that should be factored into healthcare policies and provision.These include quality assurance frameworks designed to cover a range of digital mental health applications, as well as new ontological frameworks to characterize the emerging ecosystem of technology-based care in the post-pandemic "new normal”. Copyright © 2023 John Libbey Eurotext. Téléchargé;Ce document présente un aperçu de l'évolution et du statut actuel de la santé mentale numérique en Irlande. Il présente les résultats du travail effectué par les auteurs dans le cadre du projet Interreg eMEN. Il décrit la trajectoire d'évolution de la santé mentale numérique en Irlande selon trois phases: avant, pendant et après la pandémie de Covid-19. Avant la pandémie, la santé mentale numérique évoluait progressivement grâce à une combinaison d'activités ascendantes et descendantes. La période de pandémie a déclenché une évolution rapide vers la fourniture en ligne de services de santé mentale, notamment les consultations à distance via des plateformes vidéo. Au sortir de la pandémie, l'accent est mis sur la consolidation des changements induits par la pandémie, ainsi que sur la poursuite du développement des initiatives déjà lancées auparavant. Cet article présente les éléments clés de chaque phase et examine certaines questions essentielles à prendre en compte dans les politiques et l'offre de soins. Il s'agit notamment des cadres d'assurance qualité destinés à couvrir les applications de santé mentale numérique, ainsi que de nouveaux cadres ontologiques pour caractériser l'écosystème émergent des soins basés sur la technologie dans la « nouvelle normalité» post-pandémique. Copyright © 2023 John Libbey Eurotext. Téléchargé;Este documento ofrece una panorámica de la evolución y el estado actual de la salud mental digital en Irlanda. Presenta los resultados del trabajo de los autores sobre este tema como parte del proyecto Interreg eMEN. Describe la trayectoria de evolución de la salud mental digital en Irlanda según tres fases: antes, durante y después de la pandemia de la COVID-19. Antes de la pandemia, la salud mental digital evolucionaba gradualmente mediante una combinación de actividades ascendentes y descendentes. El periodo pandémico desencadenó una rápida evolución hacia la prestación en línea de servicios de salud mental, en particular las consultas a distancia a través de plataformas de vídeo. Después de la pandemia, la atención se ha centrado en consolidar los cambios provocados por la pandemia, así como en seguir desarrollando las iniciativas ya puestas en marcha anteriormente. Este artículo presenta los elementos claves de cada fase y examina algunas de las cuestiones fundamentales que deben tenerse en cuenta en las políticas y la prestación de asistencia. Entre ellas se incluyen en primer lugar los marcos de garantía de calidad con el fin de cubrir las aplicaciones digitales de salud mental, así como los nuevos marcos ontológicos para caracterizar el ecosistema emergente de atención basada en la tecnología en la "nueva normalidad” pospandémica. Copyright © 2023 John Lib ey Eurotext. Téléchargé

Use of digital technologies for public health surveillance during the COVID-19 pandemic: A scoping review.

Throughout the COVID-19 pandemic, a variety of digital technologies have been leveraged for public health surveillance worldwide. However, concerns remain around the rapid development and deployment of digital technologies, how these technologies have been used, and their efficacy in supporting public health goals. Following the five-stage scoping review framework, we conducted a scoping review of the peer-reviewed and grey literature to identify the types and nature of digital technologies used for surveillance during the COVID-19 pandemic and the success of these measures. We conducted a search of the peer-reviewed and grey literature published between 1 December 2019 and 31 December 2020 to provide a snapshot of questions, concerns, discussions, and findings emerging at this pivotal time. A total of 147 peer-reviewed and 79 grey literature publications reporting on digital technology use for surveillance across 90 countries and regions were retained for analysis. The most frequently used technologies included mobile phone devices and applications, location tracking technologies, drones, temperature scanning technologies, and wearable devices. The utility of digital technologies for public health surveillance was impacted by factors including uptake of digital technologies across targeted populations, technological capacity and errors, scope, validity and accuracy of data, guiding legal frameworks, and infrastructure to support technology use. Our findings raise important questions around the value of digital surveillance for public health and how to ensure successful use of technologies while mitigating potential harms not only in the context of the COVID-19 pandemic, but also during other infectious disease outbreaks, epidemics, and pandemics.

Social Class, Digital Capital and Practices for Staying Connected of Older People During the COVID-19 Pandemic

Older adults are among the ones most exposed to social isolation because they've stayed at home for much longer during the COVID-19 pandemic. The research aims through multiple correspondence analysis being made along the axis of questions about what media use practice older adults have for coping with feelings of isolation, how they stay in touch with their social environment, and what kind of relationship their practices for coping with the feeling of isolation and for staying connected to their social environment have to their social status. The research focuses on the decisive roles of digital capital and social status. Television is seen to help older adults the most in overcoming the feeling of isolation, followed by telephone and smartphone calls, respectively. Older adults with higher social status tend to have higher digital capital and accordingly also use more diverse means of communicating to access quality information. The multiple correspondence analysis has revealed digital inequality to be an extension of social, economic, and cultural inequalities.

Adaptive Noise Cancellation Using a Fully Connected Network: A Lesson Learned

Ambient noise causes annoying difficulty for listeners, especially in online learning and work-from-home environments such as during the COVID-19 pandemic. The aim of this work was to employ the neural network to mitigate such ambient noise in the online environment. The software was designed, implemented, and tested on 4 types of noise. The algorithm used was a fully connected network. The results indicated that the standard fully connected network might not be an effective solution for a specific situation. Nonetheless, the processing time was very low, making it possible for real-time application on standalone devices. The implementation using leaky ReLu, creating leaky networks, offered slightly better results in English speeches, i.e. an average of 1.382 and 0.4389 in the PESQ and STOI, respectively. The Thai leaky networks, on another hand, exhibited an average of 3.111 and 0.7096 in PESQ and STOI, respectively. © 2022 IEEE.

The scope and vulnerabilities of the internet of medical things (IoMT)

The year 2020 witnessed a major shift in our society and the global economy due to the onset of COVID-19. Many newer trends are expected to surface as people grow more digitally savvy and embrace technology while working from home. This has also impacted the medical industry worldwide and has made healthcare preventive, predictive, and personalized. In healthcare, the Internet of Things (IoT) refers to a network of connected medical devices that can generate, collect, and store data as well as connect to a network, analyze data, and transmit data of various types such as medical images, physiological and vital body signatures, and genomics data. Real-time monitoring, improved diagnostics, robotic surgical interventions, and other medical IoT applications can all help improve outcomes in healthcare. Medical IoT refers to IoT devices and applications tailored to healthcare demands and environments. It includes sensors and apps for monitoring healthcare remotely, telemedicine consultation, and delivery. Medical IoT also uses AI and machine learning to assist life-transforming advancements in existent medical devices, such as the smart inhaler for asthma sufferers. IoT devices offer a lot of new opportunities for patient monitoring, both by the doctors and by the patients themselves. This is made possible by a variety of wearable IoT devices that promise an array of benefits but also pose challenges for all stakeholders in the healthcare industry. Medical IoT devices enable the collection of patient data in real-time, which is processed and evaluated thereafter. The information gathered is centralized for computing, processing, and storage. Centralization can be hazardous as it is vulnerable to multiple threats: failure at one point, mistrust, manipulation, tampering of data, and privacy evasion. Blockchain can address such critical issues by offering decentralized computation and storage for IoT data. COVID-19 brought out the benefits of technology and has reinforced the need to develop and secure more advanced applications including Medical IoT. We have advanced much, but there is a huge scope to explore, expand, and establish. © 2022 Nova Science Publishers, Inc. All rights reserved.

Towards the fifth innovation era in agricultural innovation

Agriculture is facing many challenges besides the Covid-19 pandemic and its aftermath. We have identified 20 main challenges including threatened biodiversity, sealing of arable land, climate change, lack of manpower and farm animal diseases. There are three main pathways to cope with these challenges: evolution, imitation, and innovation. We argue that challenges can be a driver of one of these: innovation. This is exemplified through a case from Australia, where the Covid-19 caused problems for the fruit industry resulting in robotics innovation. Agriculture has undergone some general innovation eras through history, and we are now approaching a new such era. This new era is characterized by (1) new crop and cultivation concepts, (2) field robotics, (3) fossil-free energy and products, (4) smart connected systems and (5) animal welfare technology systems. The magnitude of today's challenges leads to the conclusion that innovation is the only promising path forward. © 2023 Elsevier Inc. All rights reserved.

BUILDING DIGITAL RESILIENCE AGAINST MAJOR SHOCKS

Major shocks such as the COVID-19 pandemic create unique and exceptional challenges for different entities, including individuals, groups, and organizations. In this special issue editorial, we introduce the concept of digital resilience, which refers to the capabilities developed through the use of digital technologies to absorb major shocks, adapt to disruptions caused by the shocks, and transform to a new stable state, where entities are more prepared to deal with major shocks. The individual papers in this special issue offer compelling examples of how digital resilience is exhibited and how the process of digital resilience can unfold in response to specific major shocks. Drawing upon and extending these papers, we present an integrated framework of how digital technology can help build resilience capabilities, which is missing in past research but needed to mitigate and manage future major shocks, including financial recessions and climate change. We conclude with four important themes for future IS research. [ FROM AUTHOR] Copyright of MIS Quarterly is the property of MIS Quarterly and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Street-connectedness through a COVID-19 lens: Exploring media representations of street-connected children to understand their societal positionality

The 2017 general comment (GC21) to the United Nations Convention on the Rights of the Child (UNCRC) on children in street situations, provides a framework of legal guidance for governments developing policies aimed at protecting street-connected children and sets up the rationale for more awareness raising and public education to counter negative and deficit attitudes towards street-connectedness. Within this framework, the media has a role to play in either challenging conceptualisations of street-connected children as out-of-place within the public and predominantly adult domain described by urban streets, or in reinforcing ideological constructions of citizenship and normalised notions of childhood that result in negative stereotypes of these children. GC21 recommends that interventions targeted at street-connected children should be ethically responsible – adopting child rights approaches aimed at using accurate data/evidence that upholds the dignity of children, their personal integrity, and their right to life. As such, these approaches should also extend to how organisations engage with and utilise the media to represent street-connected children. Focusing on media representations of street-connected children during the six pandemic-affected months of February to July 2020, this paper provides a review of the content of the sources to provide an insight into the structural barriers that face street-connected children because of how they are positioned in society, during the pandemic and in general, and the extent to which the media reinforces or counters the rescue or removal narratives that can lead to inappropriate intervention responses. © The Author(s) 2023.

Drug delivery improvements to enable a flexible care setting for monoclonal antibody medications in oncology - Analogue-based decision framework.

INTRODUCTION: The substantial acceleration in healthcare spending together with the expenditures to manage the COVID19 pandemic demand drug delivery solutions that enable a flexible care setting for high-dose monoclonal antibodies (mAbs) in oncology. AREAS COVERED: This expert opinion introduces an analogue-based framework applied to guide decision-making for associated product improvements for mAb medications that are either already authorized or in late-stage clinical development. The four pillars of this framework comprise (1) the drug delivery profile of current and emerging treatments in the market, (2) the needs and preferences of people treated with mAbs, (3) existing healthcare infrastructures, and (4) country-dependent reimbursement and procurement models. The following product optimization examples for mAb-based treatments are evaluated based on original research and review articles in the field: subcutaneous formulations, an established drug delivery modality to reduce parenteral dosing complexity, fixed-dose combinations, an emerging concept to complement combination therapy, and (connected) on-body delivery systems, an identified future opportunity to support dosing outside of a controlled healthcare institutional environment. EXPERT OPINION: Leveraging existing synergies and learnings from other disease areas is a measure to reduce associated development and commercialization costs and thus to provide sustainable product offerings already at the initial launch of a medication.

Creating a Telemedicine Network of Specialists in Maternal-Fetal Medicine: A Prospective Cohort Study.

Background: Even before coronavirus disease 2019, integrating telemedicine into routine health care has become increasingly attractive. Evidence regarding the benefits of telemedicine in prenatal care is still inconclusive. As one of the largest sectors of preventive medicine with a relative paucity of specialists in maternal-fetal medicine (MFM), the implementation of telemedicine solutions into prenatal care is promising. Our objective aimed at establishing a telemedicine network of specialists in MFM for interprofessional exchange regarding high-risk pregnancies. Furthermore, the aims were to evaluate the providers' attitude toward the telemedicine solutions and to quantify the number of inpatient appointments that were avoided through interprofessional video consultations. Methods: This prospective trial was part of a larger telemedicine project funded by the European Regional Development Fund. MFM experts were brought together using the ELVI software. A questionnaire was designed for the evaluation of video consultations. The responses were analyzed by the exact McNemar-Bowker test to compare planned procedures before and after video consultation. Results: An interprofessional network of specialists in prenatal ultrasound was established with a total of 140 evaluations for statistical analysis. Interprofessional video communication was viewed favorably by providers. Overall, 47% (33/70) of the scheduled visits were avoided after video consultation. The providers' tendency to refrain from sending their patients to the University Hospital Münster was statistically noticeable (p = 0.048). Conclusions: Interprofessional exchange through video consultation holds great potential in the context of prenatal care. More prospective research is needed to clearly establish the most beneficial standard of care for both patients and providers. Clinical trial registration number: 2019-683-f-S.

A Transfer Learning Approach to Detect Face Mask in COVID-19 Pandemic

COVID-19 is tumultuous creating our life so unpredictable. There has no solution of this contagious disease rather than vaccination and prevention. The first and foremost preventative step is using face masks. Face mask can hindrance its droplet from one to another. So this paper has focused the detection of facial mask from image processing using Transfer Learning. For this purpose, total 1376 images have been collected where 690 images of with mask and 686 images of without a mask. Here transfer learning is chosen for the reason of its capability to produce best accurate regardless the limited size of the image dataset. Here, multifarious transfer learning models have been trained to find out the best fitting model. Finally, We have found the VGG16 model with the best accuracy where training accuracy is 98.25% and testing accuracy is 96.38%. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

The Relationship Between Exercise Habits and Stress Among Individuals With Access to Internet-Connected Home Fitness Equipment: Single-Group Prospective Analysis.

BACKGROUND: Physical activity (PA) confers numerous benefits to health and health care costs, yet most adults are not meeting recommended PA guidelines. Stress may be a factor that influences PA behavior. Research investigating the impact of stress on PA has yielded inconsistent findings. Most studies find that stress negatively impacts PA, but there is some evidence that habitual exercising buffers this association. OBJECTIVE: This study aims to examine the relationship between stress and exercise habits among habitual exercisers with internet-connected home fitness equipment (Peloton Bike) during the COVID-19 lockdown. METHODS: Participants were recruited through Facebook (N=146) and asked to complete an internet-based survey that assessed COVID-19-related stressors, perceived stress associated with those stressors, and general perceived stress. Self-reported exercise was assessed on the survey using the Godin Leisure-time Exercise Questionnaire (GLTEQ). Participants were also asked for consent to access their Peloton usage data through the Peloton platform. From their usage data, the frequency and duration of cycling classes was calculated for 4 weeks prior to and 12 weeks following the survey. Hierarchical regression equations tested the association between stress reported on the survey and subsequent exercise participation. Exercise participation was quantified both as the frequency and duration of Peloton cycling over the 12 weeks following the survey and as self-reported moderate to vigorous activity on a second survey completed by a subset of participants 12 weeks after the initial survey. RESULTS: There were 146 participants in our Peloton analysis sample and 66 in the self-reported exercise analysis. Peloton user data showed that study participants cycled frequently (mean 5.9 times per week) in the month prior to the initial survey, and that presurvey Peloton use was a strong predictor of exercise frequency (R2=0.57; F2,143=95.27; P<.001) and duration (R2=0.58; F2,143=102.58; P<.001) for the 12 subsequent weeks. Self-reported overall exercise likewise showed that this sample was very active, with an average of more than 8 times per week of moderate to vigorous exercise at the initial survey. Self-reported exercise on the initial survey was a strong predictor of self-reported exercise 12 weeks later (R2=0.31; F1,64=29.03; P<.001). Perceived stress did not impact Peloton cycling duration or frequency (P=.81 and .76, respectively) or self-reported exercise (P=.28). CONCLUSIONS: The results suggest that stress did not negatively impact exercise participation among habitually active adults with access to internet-connected home fitness equipment. Habitual exercise may buffer the impact of stress on participation in regular moderate to vigorous activity. Future research should examine the role that the availability of home-based internet-connected exercise equipment may play in this buffering.

A survey on connected healthcare beyond COVID in India: clinical perspectives.

The COVID-19 pandemic has seen the advent of novel medical devices and practices. Demand for quality healthcare services rose exponentially which eventually led to accessibility becoming a major issue of concern. In addition to this, in-person consultations and various other conventional treatment methods were proven to be problematic. Limitations of traditional health care systems such as in-person consultations were highlighted, and conventional treatment methods have proven to be problematic. As an alternative approach, telehealth services are now gaining recognition due to their high efficiency, ease of use, and state-of-the-art technology. In this article, trends of telemedicine and its evolving popularity across the medical community due to the pandemic and beyond are studied and highlighted. An online survey form was circulated to 42 medical practitioners and interns to analyse the growing interest in telemedicine. The questionnaire covered the physicians' perspectives, preferences, experiences, and other important aspects of home-based teleconsultation. Based on the responses collected from doctors and medical interns, 14.2% disapproved, whereas 38.1% favoured and 47.6% showed a neutral response to the teleconsultation. More than 50% of the respondents claim the process to be time-consuming and 42% of them perceived it to be the other way round. 4.8% of the doctors preferred it to be only through computers whereas 45.2% per cent preferred consultation through smartphones and 50% of them preferred it be both ways. More than half (59.5%) of the doctors preferred the pandemic scenario and the remaining for its continued usage post-pandemic. Although India has the world's second-largest online market, a major population in India is digitally illiterate according to the Digital Foundation of India. Thus, it is important to devise telehealth technology that is simplest to use to reach also the economically backward patient communities.

Home monitoring of arterial pulse-wave velocity during COVID-19 total or partial lockdown using connected smart scales.

Aims: To investigate the impact of coronavirus disease 2019 lockdown on trajectories of arterial pulse-wave velocity in a large population of users of connected smart scales that provide reliable measurements of pulse-wave velocity. Methods and results: Pulse-wave velocity recordings obtained by Withings Heart Health & Body Composition Wi-Fi Smart Scale users before and during lockdown were analysed. We compared two demonstrative countries: France, where strict lockdown rules were enforced (n = 26 196) and Germany, where lockdown was partial (n = 26 847). Subgroup analysis was conducted in users of activity trackers and home blood pressure monitors. Linear growth curve modelling and trajectory clustering analyses were performed. During lockdown, a significant reduction in vascular stiffness, weight, blood pressure, and physical activity was observed in the overall population. Pulse-wave velocity reduction was greater in France than in Germany, corresponding to 5.2 month reduction in vascular age. In the French population, three clusters of stiffness trajectories were identified: decreasing (21.1%), stable (60.6%), and increasing pulse-wave velocity clusters (18.2%). Decreasing and increasing clusters both had higher pulse-wave velocity and vascular age before lockdown compared with the stable cluster. Only the decreasing cluster showed a significant weight reduction (-400 g), whereas living alone was associated with increasing pulse-wave velocity cluster. No clusters were identified in the German population. Conclusions: During total lockdown in France, a reduction in pulse-wave velocity in a significant proportion of French users of connected smart bathroom scales occurred. The impact on long-term cardiovascular health remains to be established.

Comparative Analysis of Mono-Facial and Bifacial Photovoltaic Modules for Practical Grid-Connected Solar Power Plant Using PVsyst

Among thorny challenges, During the COVID-19, there has been a great deal of attention paid on electric demand for hospitals and critical devices. Beside given unplanned power outages during peak load of summer season nowadays made system so stressful for seamless operation and therefore vulnerable to possible damages. As a remedy, many utilities tend to adapt further renewable energy in the power system as a way to cope with excessive peak demand. In this sense, grid-connected solar photovoltaic systems can cater best to this shortage. In this work, a 100 kW grid-connected photovoltaic system for a practical solar parking lot is modelled. The simulations are decomposed in two cases of mono-facial and bifacial panels, and the comparison study among them is made. As a simulation environment, the PVsyst is used to design and simulate PV systems. The simulation results show that in case of mono-facial module the 150 MWh/yr with an average performance ratio of 77.7% and for a bifacial system the 171.1 MWh/yr with an average performance ratio of 87.31 % can be produced and thus injected to the system. © 2022 IEEE.

Use of Deep Learning Application in Medical Devices

Artificial Intelligence (AI) is a system that helps machines to march with human abilities within daily lifestyles. Deep learning supported by AI can be an effective application within healthcare sector. This research has explained various aspects of Deep learning application that can be a major area of concern for pushing the development process of Indian medical sector that have lack of infrastructure and lack of capacity, to take less time to optimise the medical diagnosis process. This research has also investigated the advantages and disadvantages that medical sector might face while using deep learning applications. Deep learning applications under AI systems are used to classify objects. CNN model, Machine-learning tools, and other tools that use deep learning approach are effective to diagnose any disease and in medical image analysis process. Deep learning techniques are also used to detect heart disease and manage the data regarding the patients of heart diseases. Secondary data collection method has been used and a thematic analysis has been conducted in this research to describe and find various challenges that might have been engaged within deep learning process used in medical sectors of India. It has been found that, Deep Learning is used widely for COVID-19 medical image processing through a fully connected CNN model. As a result, the main finding states that deep learning application creates a major scope for the improvement in Indian medical sector. © 2022 IEEE.