ReCognizing SUspect and PredictiNg ThE SpRead of Contagion Based on Mobile Phone LoCation DaTa (COUNTERACT): A system of identifying COVID-19 infectious and hazardous sites, detecting disease outbreaks based on the internet of things, edge computing, and artificial intelligence

Ghayvat, Hemant; Awais, Muhammad; Gope, Prosanta; Pandya, Sharnil; Majumdar, Shubhankar

doi:10.1016/j.scs.2021.102798

Cited by 37 publications

(22 citation statements)

References 20 publications

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“…It is also long and away from knowing how politicians' function and conduct in other areas of the world, such as in less developed countries such as Africa and their connection to workers' success. This partly has given rise to our leaders' comprehension, since people's actions, ideas, and opinions are influenced by the cultural environments in which they exist, by analytical observations and discoveries of the West's academics [20]. Some scientists argue that there is no distinction between leadership styles and competencies seen by western and middle-eastern individuals [21].…”

Section: Background Of the Studymentioning

confidence: 99%

The Impact of Leadership Styles on Employees Productivity in Organizations: A Comparative Study Among Leadership Styles

et al. 2021

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Successful leaders are facilitators who specifically target skilled and committed workers. Studies in organizational psychology and the research on an organization's actions suggest that management styles and staff motivation are key factors of business performance or failure. This study aimed to study the influence of leadership on the performance of employers in the education ministry and higher education of Somaliland and to define four types, namely, autocratic, transformational, democratic and transactional leadership. This study analyzed the effects of leadership styles on employee efficiency. The final findings have shown that the autocratic leadership model has a detrimental effect on the department's efficiency,

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Section: Background Of the Studymentioning

confidence: 99%

The Impact of Leadership Styles on Employees Productivity in Organizations: A Comparative Study Among Leadership Styles

et al. 2021

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“…For surgeries, robotic-assisted surgeries are also coming up for better precision. Many AI tools help doctors check real-time details of the patients during critical surgeries [ 20 , 21 , 22 , 23 ].…”

Section: Recent Ai Contributions In Healthcarementioning

confidence: 99%

A Study of the Recent Trends of Immunology: Key Challenges, Domains, Applications, Datasets, and Future Directions

Pandya

Thakur

Saxena

et al. 2021

Sensors

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The human immune system is very complex. Understanding it traditionally required specialized knowledge and expertise along with years of study. However, in recent times, the introduction of technologies such as AIoMT (Artificial Intelligence of Medical Things), genetic intelligence algorithms, smart immunological methodologies, etc., has made this process easier. These technologies can observe relations and patterns that humans do and recognize patterns that are unobservable by humans. Furthermore, these technologies have also enabled us to understand better the different types of cells in the immune system, their structures, their importance, and their impact on our immunity, particularly in the case of debilitating diseases such as cancer. The undertaken study explores the AI methodologies currently in the field of immunology. The initial part of this study explains the integration of AI in healthcare and how it has changed the face of the medical industry. It also details the current applications of AI in the different healthcare domains and the key challenges faced when trying to integrate AI with healthcare, along with the recent developments and contributions in this field by other researchers. The core part of this study is focused on exploring the most common classifications of health diseases, immunology, and its key subdomains. The later part of the study presents a statistical analysis of the contributions in AI in the different domains of immunology and an in-depth review of the machine learning and deep learning methodologies and algorithms that can and have been applied in the field of immunology. We have also analyzed a list of machine learning and deep learning datasets about the different subdomains of immunology. Finally, in the end, the presented study discusses the future research directions in the field of AI in immunology and provides some possible solutions for the same.

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“…For this purpose, the proposed system has used smart cities, such as ITS infrastructures. However, the proposed system did not discuss any kind of scanning approach for the human body and face-masks ( 2 ). Abbas and his fellow mates have presented a chest X-ray scanning system of COVID-19 suspects.…”

Section: Related Workmentioning

confidence: 99%

“…Considering these facts, researchers are putting enormous efforts into developing innovative solutions to deal with the current pandemic. Furthermore, according to WHO reports, the WHO has put enormous efforts into assisting various developed and developing countries in terms of masks, ventilators, hospital beds, face shields, and other essential health equipments ( 2 ). Furthermore, the WHO has also prepared strict guidelines for lock-downs, social-distancing, and testing of COVID-19 suspects.…”

Section: Introductionmentioning

confidence: 99%

COVIDSAVIOR: A Novel Sensor-Fusion and Deep Learning Based Framework for Virus Outbreaks

Pandya

Sur

Solke

2021

Front. Public Health

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The presented deep learning and sensor-fusion based assistive technology (Smart Facemask and Thermal scanning kiosk) will protect the individual using auto face-mask detection and auto thermal scanning to detect the current body temperature. Furthermore, the presented system also facilitates a variety of notifications, such as an alarm, if an individual is not wearing a mask and detects thermal temperature beyond the standard body temperature threshold, such as 98.6°F (37°C). Design/methodology/approach—The presented deep Learning and sensor-fusion-based approach can also detect an individual in with or without mask situations and provide appropriate notification to the security personnel by raising the alarm. Moreover, the smart tunnel is also equipped with a thermal sensing unit embedded with a camera, which can detect the real-time body temperature of an individual concerning the prescribed body temperature limits as prescribed by WHO reports. Findings—The investigation results validate the performance evaluation of the presented smart face-mask and thermal scanning mechanism. The presented system can also detect an outsider entering the building with or without mask condition and be aware of the security control room by raising appropriate alarms. Furthermore, the presented smart epidemic tunnel is embedded with an intelligent algorithm that can perform real-time thermal scanning of an individual and store essential information in a cloud platform, such as Google firebase. Thus, the proposed system favors society by saving time and helps in lowering the spread of coronavirus.

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ReCognizing SUspect and PredictiNg ThE SpRead of Contagion Based on Mobile Phone LoCation DaTa (COUNTERACT): A system of identifying COVID-19 infectious and hazardous sites, detecting disease outbreaks based on the internet of things, edge computing, and artificial intelligence

Cited by 37 publications

References 20 publications

The Impact of Leadership Styles on Employees Productivity in Organizations: A Comparative Study Among Leadership Styles

The Impact of Leadership Styles on Employees Productivity in Organizations: A Comparative Study Among Leadership Styles

A Study of the Recent Trends of Immunology: Key Challenges, Domains, Applications, Datasets, and Future Directions

COVIDSAVIOR: A Novel Sensor-Fusion and Deep Learning Based Framework for Virus Outbreaks

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