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William Henry Collinge and Carlos Osorio-Sandoval
A continuing need to improve health, safety and wellbeing in construction has led to multiple research projects and technological innovations. One such innovation is the Safety Risk Library: a repository of data that functions in BIM environments to assi...
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Agnes A. R. Broer, Rinze Benedictus and Dimitrios Zarouchas
With the increased use of composites in aircraft, many new successful contributions to the advancement of the structural health monitoring (SHM) field for composite aerospace structures have been achieved. Yet its application is still not often seen in o...
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Fernando López-Martínez, Edward Rolando Núñez-Valdez, Vicente García-Díaz and Zoran Bursac
Big data and artificial intelligence are currently two of the most important and trending pieces for innovation and predictive analytics in healthcare, leading the digital healthcare transformation. Keralty organization is already working on developing a...
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George Konstantinidis, Adriane Chapman, Mark J. Weal, Ahmed Alzubaidi, Lisa M. Ballard and Anneke M. Lucassen
Data processing agreements in health data management are laid out by organisations in monolithic ?Terms and Conditions? documents written in natural legal language. These top-down policies usually protect the interest of the service providers, rather tha...
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Mian Du, Jun Yi, Peyman Mazidi, Lin Cheng and Jianbo Guo
Wind turbine anomaly or failure detection using machine learning techniques through supervisory control and data acquisition (SCADA) system is drawing wide attention from academic and industry While parameter selection is important for modelling a wind t...
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Qiang Cheng, Yong Cao, Zhifeng Liu, Lingli Cui, Tao Zhang and Lei Xu
The computer numerically controlled (CNC) system is the key functional component of CNC machine tool control systems, and the servo drive system is an important part of CNC systems. The complex working environment will lead to frequent failure of servo d...
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Syed Mustafa Ali, Rachel Powers, Jeffrey Beorse, Arif Noor, Farah Naureen, Naveed Anjum, Muhammad Ishaq, Javariya Aamir and Richard Anderson
The present grievous tuberculosis situation can be improved by efficient case management and timely follow-up evaluations. With the advent of digital technology, this can be achieved through quick summarization of the patient-centric data. The aim of our...
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Kanza Gulzar, Muhammad Ayoob Memon, Syed Muhammad Mohsin, Sheraz Aslam, Syed Muhammad Abrar Akber and Muhammad Asghar Nadeem
In the public health sector and the field of medicine, the popularity of data mining and its usage in knowledge discovery and databases (KDD) are rising. The growing popularity of data mining has discovered innovative healthcare links to support decision...
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Mulin Chen, Hongyan Cai, Li Wang and Mei Lei
Understanding the risks posed by potentially toxic metals (PTMs) in large regions is important for environmental management. However, regional risk assessment that relies on traditional field sampling or administrative statistical data is labor-intensive...
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Mohammed Gollapalli
The COVID-19 epidemic has highlighted the significance of sanitization and maintaining hygienic access to clean water to reduce mortality and morbidity cases worldwide. Diarrhea is one of the prevalent waterborne diseases caused due to contaminated water...
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Ekaterina V. Orlova
The article considers the challenge of labor productivity growth in a company using objective data about economic, demographic and social factors and subjective information about an employees? health quality. We propose the technology for labor productiv...
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Phattara Khumprom, David Grewell and Nita Yodo
Predicting Remaining Useful Life (RUL) of systems has played an important role in various fields of reliability engineering analysis, including in aircraft engines. RUL prediction is critically an important part of Prognostics and Health Management (PHM)...
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Parvaneh Rastgoo
Pág. 150 - 155
The present study was aimed to examine the relationship between knowledge management and organizational innovation in Bushehr's medical sciences university and health care services center (2016). Research method was practical in terms of objective; and i...
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Sarah Malik, Rakeen Rouf, Krzysztof Mazur and Antonios Kontsos
Structural Health Monitoring (SHM), defined as the process that involves sensing, computing, and decision making to assess the integrity of infrastructure, has been plagued by data management challenges. The Industrial Internet of Things (IIoT), a subset...
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Pratik Thantharate and Anurag Thantharate
With the digitization of healthcare, an immense amount of sensitive medical data are generated and shared between various healthcare stakeholders?however, traditional health data management mechanisms present interoperability, security, and privacy chall...
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Darío Collado-Mariscal, Juan Pedro Cortés-Pérez, Alfonso Cortés-Pérez and Antonia Cuevas-Murillo
The high number of accidents in the construction sector makes the concept of prevention through design (PtD), which starts with the integration of an occupational risk assessment in this phase, increasingly important. To this end, BIM (building informati...
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Rana Khallaf, Lama Khallaf, Chimay J. Anumba and Obinna C. Madubuike
Technological advances have enabled the monitoring and control of construction operations and assets remotely. Digital twins, based on computational modeling, have enabled the creation of a digital map for physical structures. Research on digital twins (...
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Elarbi Badidi, Zineb Mahrez and Essaid Sabir
Demographic growth in urban areas means that modern cities face challenges in ensuring a steady supply of water and electricity, smart transport, livable space, better health services, and citizens? safety. Advances in sensing, communication, and digital...
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Kyoung-Don Kang, Liehuo Chen, Hyungdae Yi, Bin Wang and Mo Sha
In data-intensive real-time applications, e.g., cognitive assistance and mobile health (mHealth), the amount of sensor data is exploding. In these applications, it is desirable to extract value-added information, e.g., mental or physical health condition...
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Kyoung-Don Kang, Liehuo Chen, Hyungdae Yi, Bin Wang and Mo Sha
In data-intensive real-time applications, e.g., cognitive assistance and mobile health (mHealth), the amount of sensor data is exploding. In these applications, it is desirable to extract value-added information, e.g., mental or physical health condition...
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