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Renewable Energy is Good for Your Health
WEBDepending on the site and installation, they found that benefits ranged from US $5.7 million to $210 million per year. While renewable energy and energy efficiency policies are not typically
Actived: 6 days ago
URL: https://spectrum.ieee.org/renewable-energy-is-good-for-your-health
Metaverse for Mental Health: A Paradigm Shift in Digital Well-Being
WEBThe metaverse holds immense promise for mental health. As technology evolves, we must navigate its complexities while ensuring ethical use. Whether it’s virtual therapy sessions, art-based healing, or peer support groups, the metaverse could revolutionize how we approach mental well-being in the digital age.
Health 4.0: On the Way to Realizing the Healthcare of the Future
WEBHealth 4.0 establishes a new promising vision for the healthcare industry. It creatively integrates and employ innovative technologies such as the Internet of Health Things (IoHT), medical Cyber-Physical Systems (medical CPS), health cloud, health fog, big data analytics, machine learning, blockchain, and smart algorithms. The goal is to …
Deep Learning for Health Informatics
WEBWith a massive influx of multimodality data, the role of data analytics in health informatics has grown rapidly in the last decade. This has also prompted increasing interests in the generation of analytical, data driven models based on machine learning in health informatics. Deep learning, a technique with its foundation in artificial neural …
A Bibliometric Analysis of Technology in Digital Health: Exploring
WEBThe digital economy has engendered Health Metaverse, an innovative technology with vast potential to transform healthcare through immersive experiences. The Health Metaverse serves as a convergence point for a multitude of technologies, including artificial intelligence (AI), virtual reality in heath, augmented reality in health, internet-connected medical …
Smart health: A context-aware health paradigm within smart cities
WEBAbstract: The new era of mobile health ushered in by the wide adoption of ubiquitous computing and mobile communications has brought opportunities for governments and companies to rethink their concept of healthcare. Simultaneously, the worldwide urbanization process represents a formidable challenge and attracts attention toward …
Emerging Technologies Used in Health Management and …
WEBConfronted with the COVID-19 health crisis, the year 2020 represented a turning point for the entire world. It paved the way for health-care systems to reaffirm their foundations by using different technologies such as sensors, wearables, mobile applications, drones, robots, Artificial Intelligence (AI), Machine Learning (ML) and the …
Structural health monitoring: technological advances to practical
WEBThis special issue provides readers with a picture of the current state of the art in the structural health monitoring field while highlighting the new research avenues that are being aggressively explored.
A Revolution of Personalized Healthcare: Enabling Human Digital …
WEBMobile artificial intelligence-generated content (AIGC) refers to the adoption of generative artificial intelligence (GAI) algorithms deployed at mobile edge networks to automate the information creation process while fulfilling the requirements of end users. Mobile AIGC has recently attracted phenomenal attentions and can be a key enabling …
Assessing Technology Innovation of Mobile Health Apps for …
WEBAbstract: In recent years, mobile health applications (mHealth apps) have created a new social context in the clinical diagnosis process based on technology innovation. To improve understanding of digital transformation in healthcare and determinants for its implementation, this article examines the available mHealth apps …
A Survey on Wearable Sensor-Based Systems for Health …
WEBThe design and development of wearable biosensor systems for health monitoring has garnered lots of attention in the scientific community and the industry during the last years. Mainly motivated by increasing healthcare costs and propelled by recent technological advances in miniature biosensing devices, smart textiles, microelectronics, …
Efficient Entry: A Stateful Authentication Approach in Health …
WEBThis study presents the development and evaluation of Health-Aware Smart Gates (HASG), designed to enhance public health security during the COVID-19 pandemic. When compared with traditional smart gate systems, HASGs offer improved security through rigorous health protocol enforcement, enhanced user experience by reducing …
A Novel Estimation Method for the State of Health of Lithium-Ion
WEBThe state of health (SOH) of lithium-ion batteries (LIBs) is a critical parameter of the battery management system. Because of the complex internal electrochemical properties of LIBs and uncertain external working environment, it is difficult to achieve an accurate SOH determination. In this paper, we have proposed a novel SOH estimation method by …
Data-Driven Transfer-Stacking-Based State of Health Estimation …
WEBState-of-health (SOH) of lithium-ion batteries plays a vital role in the safe and reliable operation of electric vehicles. However, most of the existing SOH estimation methods still require a large number of battery aging data while the established model usually lacks generalization. Here, we build a data-driven transfer learning model to …
CorrDiff: Corrective Diffusion Model for Accurate MRI Brain Tumor
WEBAccurate segmentation of brain tumors in MRI images is imperative for precise clinical diagnosis and treatment. However, existing medical image segmentation methods exhibit errors, which can be categorized into two types: random errors and systematic errors. Random errors, arising from various unpredictable effects, pose challenges in terms of …
Study on Artificial Intelligence in Healthcare IEEE Conference
WEBWe have seen during this pandemic, India, there are many dangers to the healthcare system which calls for the need to encourage hospitals o switch an electronic healthcare information system from paper-based medical records to an electronic medical related data that offers e-healthcare information and integrates well with computer …
Health Insurance Cost Prediction using Machine Learning IEEE
WEBThis paper represents a machine learning-based health insurance prediction system. Recently, many attempts have been made to solve this problem, as after Covid-19 pandemic, health insurance has become one of the most prominent areas of research. We have used the USA's medical cost personal dataset from kaggle, having 1338 entries. …
Variational Mode Extraction: A New Efficient Method to Derive
WEBECG-derived respiratory (EDR) signal is an effective and inexpensive method to monitor the respiration. Previous studies have shown that the empirical mode decomposition (EMD) techniques can satisfactorily extract the EDR signal, however, their performances are degraded at the presence of noise. On the other hand, variational …
Full-Resolution Network and Dual-Threshold Iteration for Retinal …
WEBVessel segmentation is critical for disease diagnosis and surgical planning. Recently, the vessel segmentation method based on deep learning has achieved outstanding performance. However, vessel segmentation remains challenging due to thin vessels with low contrast that easily lose spatial information in the traditional U-shaped …
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