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Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service
S Aminizadeh, A Heidari, M Dehghan, S Toumaj… - Artificial Intelligence in …, 2024 - Elsevier
The healthcare sector, characterized by vast datasets and many diseases, is pivotal in
sha** community health and overall quality of life. Traditional healthcare methods, often …
sha** community health and overall quality of life. Traditional healthcare methods, often …
[HTML][HTML] An efficient way of text-based emotion analysis from social media using LRA-DNN
Text devices are effectively and heavily used for interactions these days. Emotion extraction
from the text has derived huge importance and is upcoming area of research in Natural …
from the text has derived huge importance and is upcoming area of research in Natural …
Design and evaluation of a hybrid technique for detecting sunflower leaf disease using deep learning approach
Agriculture and plants, which are a component of a nation's internal economy, play an
important role in boosting the economy of that country. It becomes critical to preserve plants …
important role in boosting the economy of that country. It becomes critical to preserve plants …
[HTML][HTML] An integrated deep learning and natural language processing approach for continuous remote monitoring in digital health
KA Shastry, A Shastry - Decision analytics journal, 2023 - Elsevier
The rapid adoption of digital health technologies generates a vast amount of health data,
presenting an opportunity to leverage advanced data analytics and cognitive computing to …
presenting an opportunity to leverage advanced data analytics and cognitive computing to …
[Retracted] Deep Learning in Healthcare System for Quality of Service
Deep learning (DL) and machine learning (ML) have a pivotal role in logistic supply chain
management and smart manufacturing with proven records. The ability to handle large …
management and smart manufacturing with proven records. The ability to handle large …
[Retracted] Assessment of Mental Workload by Visual Motor Activity among Control Group and Patient Suffering from Depressive Disorder
Major depressive disorder (MDD) is a mood state that is not usually associated with vision
problems. Recent research has found that the inhibitory neurotransmitter GABA levels in the …
problems. Recent research has found that the inhibitory neurotransmitter GABA levels in the …
[Retracted] IoT‐Enabled Framework for Early Detection and Prediction of COVID‐19 Suspects by Leveraging Machine Learning in Cloud
MH Mir, S Jamwal, A Mehbodniya… - Journal of healthcare …, 2022 - Wiley Online Library
COVID‐19 is the repugnant but the most searched word since its outbreak in November
2019 across the globe. The world has to battle with it until an effective solution is developed …
2019 across the globe. The world has to battle with it until an effective solution is developed …
Integrating LA and EDM for improving students Success in higher Education using FCN algorithm
EDM and LA are two fields that study how to use facts to get more academic learning and
enhance the students' entire performance. Both areas are concerned with a broad range of …
enhance the students' entire performance. Both areas are concerned with a broad range of …
[HTML][HTML] AI-based big data analytics model for medical applications
Today, people's daily lives depended on their mobile phones, facilitating many beneficial
tasks. Mobile computing and cloud computing combine cloud-based mobile computing to …
tasks. Mobile computing and cloud computing combine cloud-based mobile computing to …
Cloud-Enabled Fire Safety in Industry 5.0 Smart Factories: Leveraging IoT and Sensor Networks for Real-Time Monitoring and Proactive Prevention
CVS Babu, A Auroshaa, MS Saltonya… - … Technologies in Digital …, 2024 - igi-global.com
This chapter explores the critical intersection of Industry 5.0 and fire safety in smart factories.
It introduces the concept of cloud-enabled fire monitoring, emphasizing its significance in …
It introduces the concept of cloud-enabled fire monitoring, emphasizing its significance in …