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Patient Frailty: A Review
According to Geriator (2011), frailty is a common clinical syndrome in older adults that carries an increased risk for poor health outcomes such as falls, incident disability, hospitalization, and mortality. An operational...
Social Media Exploration and Exploitation by Small and Medium Enterprises for Business Continuity
This paper aims to examine social media usage by small and medium enterprises (SMEs) in the context of business continuity. A key concern for businesses in times of disasters, such as the COVID19 pandemic or hurricanes, is...
Application of Machine Learning and Artificial Intelligence Techniques for IVF Analysis and Prediction
Infertility is the combination of factors that prevent pregnancy. It involves a lot of care and expertise while selecting the best embryo to lead to a successful pregnancy. Assistive reproductive technology (ART) helps to solve...
Application of Machine Learning and Artificial Intelligence Techniques for IVF Analysis and Prediction
Infertility is the combination of factors that prevent pregnancy. It involves a lot of care and expertise while selecting the best embryo to lead to a successful pregnancy. Assistive reproductive technology (ART) helps to solve...
Classification of Tweets Into Facts and Opinions Using Recurrent Neural Networks
In the last few years, the growth rate of the number of people who are active on Twitter has been consistently spiking. In India, even the government agencies have started using Twitter accounts as they feel that they can get...
A Review on SRAM Memory Design Using FinFET Technology
An innovative technology named FinFET (Fin Field Effect Transistor) has been developed to offer better transistor circuit design and to compensate the necessity of superior storage system (SS). As gate loses control over the...
MapReduce-Based Crow Search-Adopted Partitional Clustering Algorithms for Handling Large-Scale Data
Cluster analysis is the prominent data mining technique in knowledge discovery and it discovers the hidden patterns from the data. The K-Means, K-Modes and K-Prototypes are partition based clustering algorithms and these...
Social Media Influencer Endorsement
This research aims to examine the effect of social media influencer endorsements on brand attitude. Further, this research investigates the mediation effect of attitude towards endorsement on brand attitude. Based on previous...
Remarkably Enhanced Lattice Oxygen Participation in Perovskites to Boost Oxygen Evolution Reaction.
Enhancing the participation of the lattice oxygen mechanism (LOM) in several perovskites to significantly boost the oxygen evolution reaction (OER) is daunting. With the rapid decline in fossil fuels, energy research is turning...
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Wearable Devices Data for Activity Prediction Using Machine Learning Algorithms
Wearable devices are contributing heavily towards the proliferation of data and creating a rich minefield for data analytics. Recent trends in the design of wearable devices include several embedded sensors which also provide...
Wearable Devices Data for Activity Prediction Using Machine Learning Algorithms
Wearable devices are contributing heavily towards the proliferation of data and creating a rich minefield for data analytics. Recent trends in the design of wearable devices include several embedded sensors which also provide...
Tool Wear and Temperatures Analysis While Machining Ti-6Al-4V in MQCL-MIST Environment
Sustainable machining of titanium alloys have deficiency of studies on the built-up edges over the cutting tools and temperature correlation in minimum quantity cooling lubrication (MQCL) environment. Researchers focused on...
Factors associated with mobile phone usage to access maternal and child healthcare among women of urban slums in Dhaka, Bangladesh
INTRODUCTION: With the acute shortage of human resources and infrastructure, mobile phones can be a critical tool for accessing health services and strengthening health systems in Bangladesh. Yet, there is a scarcity of evidence...
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Exploring Factors Associated with Women's Willingness to Provide Digital Fingerprints in Accessing Healthcare Services
Digital fingerprints are increasingly used for patient care and treatment delivery, health system monitoring and evaluation, and maintaining data integrity during health research. Yet, no evidence exists about the use of...
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Integrating Unsupervised and Supervised ML Models for Analysis of Synthetic Data From VAE, GAN, and Clustering of Variables
Clustering of variables is a specialized approach for dimensionality reduction. This strategy is evaluated for data reduction with a Kaggle diabetes dataset. Since the original dataset is small, Generative Adversarial Networks...
Fully Printed Organic-Inorganic Nanocomposites for Flexible Thermoelectric Applications.
Thermoelectric materials, capable of interconverting heat and electricity, are attractive for applications in thermal energy harvesting as a means to power wireless sensors, wearable devices, and portable electronics. However...
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