Data analytics in public health, A USA perspective: A review
The integration of data analytics into public health practices represents a transformative
paradigm shift in the United States. This review provides a comprehensive analysis of the …
paradigm shift in the United States. This review provides a comprehensive analysis of the …
Operating Artificial Intelligence to Assist Physicians Diagnose Medical Images: A Narrative Review
O Adelaja, H Alkattan - Mesopotamian Journal of …, 2023 - journals.mesopotamian.press
Medical image diagnostics is crucial to healthcare since it aids in the diagnosis and
treatment of a variety of diseases and conditions. However, the process is time-consuming …
treatment of a variety of diseases and conditions. However, the process is time-consuming …
[HTML][HTML] A cluster-based human resources analytics for predicting employee turnover using optimized Artificial Neural Networks and data augmentation
This study presents an innovative methodology to predict employee turnover by integrating
Artificial Neural Networks (ANN) with clustering techniques. We focus on hyperparameter …
Artificial Neural Networks (ANN) with clustering techniques. We focus on hyperparameter …
Integrating Artificial Intelligence in Human Resource Management: A SmartPLS Approach for Entrepreneurial Success
The primary focus of this research is to examine the pivotal role of Artificial Intelligence (AI)
in driving business transformation, with a specific emphasis on its impact within the realm of …
in driving business transformation, with a specific emphasis on its impact within the realm of …
Severity of Lumpy Disease detection based on Deep Learning Technique
The lumpy skin disease epidemic in India claimed the lives of over 97,000 cattle in the three
months from July to September 2022. It is spread by ticks and other blood-feeding insects …
months from July to September 2022. It is spread by ticks and other blood-feeding insects …
[HTML][HTML] A hybrid mental health prediction model using Support Vector Machine, Multilayer Perceptron, and Random Forest algorithms
ES Mohamed, TA Naqishbandi, SAC Bukhari, I Rauf… - Healthcare …, 2023 - Elsevier
The prevalence and burden of mental health disorders are on the rise in conflict zones, and
if left untreated, they can lead to considerable lifetime disability. Following the repeal of …
if left untreated, they can lead to considerable lifetime disability. Following the repeal of …
Convergence of Intelligent Networks: Harnessing the Power of Artificial Intelligence and Blockchain for Future Innovations
This research aims to explore the convergence between smart networks, artificial
intelligence (AI), and blockchain technology as a foundation for future innovation. The …
intelligence (AI), and blockchain technology as a foundation for future innovation. The …
A new intelligent approach of surface roughness measurement in sustainable machining of AM-316L stainless steel with deep learning models
Due to the manufacturing sector's digitalization and ability to combine quality measurement
and production data, machine learning and deep learning for quality assurance hold …
and production data, machine learning and deep learning for quality assurance hold …
A Machine Learning Approach For Predicting Onset And Progression"“Towards Early Detection Of Chronic Diseases “
The paper suggests utilizing data mining and machine learning approaches to diagnose
chronic diseases due to their cost-effectiveness and ability to analyse large amounts of …
chronic diseases due to their cost-effectiveness and ability to analyse large amounts of …
Comparative Analysis Of AI Regression And Classification Models For Predicting House Damages İn Nepal: Proposed Architectures And Techniques
This paper proposes a machine-learning model for earthquake prediction. Earthquakes are
complex and unpredictable natural phenomena, making it challenging to predict them …
complex and unpredictable natural phenomena, making it challenging to predict them …