Intelligent computing methods for knowledge discovery and management: analysis, comparison, and application domains
R Ahamad, KN Mishra - … on Advancements in Smart, Secure and …, 2024 - ieeexplore.ieee.org
Knowledge Management (KM) and Artificial Intelligence (AI) at their core are about
knowledge. AI provides the mechanism that allows a machine to obtain, acquire, process …
knowledge. AI provides the mechanism that allows a machine to obtain, acquire, process …
An Early-Stage Diabetes Symptoms Detection Prototype using Ensemble Learning
Diabetes is one of the most increasing health issues that the whole world is facing. Recent
research has shown that diabetes is spreading quickly in India. Having more than 77 million …
research has shown that diabetes is spreading quickly in India. Having more than 77 million …
A Framework for Automated Diagnosis and Management of Autoimmune Disorders with Neural Networks
L Natrayan, S Socrates, GB Bharathi… - … on Advancements in …, 2024 - ieeexplore.ieee.org
Autoimmune disorders represent a significant healthcare challenge, necessitating accurate
diagnosis and efficient management. This paper introduces a cutting-edge framework for …
diagnosis and efficient management. This paper introduces a cutting-edge framework for …
Machine Learning and Data Mining Approaches for Infectious Disease Surveillance and Outbreak Management in Healthcare
L Natrayan, MDR Kamal… - … on Advancements in …, 2024 - ieeexplore.ieee.org
Infectious diseases pose significant threats to public health, making their surveillance and
outbreak management paramount. Leveraging the power of machine learning and data …
outbreak management paramount. Leveraging the power of machine learning and data …
An empirical investigation of deep transfer learning approach to automatic detection of coronavirus disease (COVID-19) in CT images
The recently discovered COVID-19 coronavirus pneumonia is highly contagious,
pathogenic, and incurable without the use of an antiviral medication or vaccination that has …
pathogenic, and incurable without the use of an antiviral medication or vaccination that has …
Impact of Machine Intelligence on Clinical Disease Outbreak Prediction
This research paper examines the utilization of Artificial Intelligence (AI) in disease outbreak
prediction and its importance in public health. It explores the hurdles associated with …
prediction and its importance in public health. It explores the hurdles associated with …
A Sampling-Based Logistic Regression Model for Credit Card Fraud Estimation Check for updates
P Patra, S Vedansh, V Ved, A Singh… - Proceedings of Data …, 2023 - books.google.com
One of the most frequent problems that we are facing today is credit card fraud detection,
and the most definite reason behind it is the phenomenal increase in online transactions …
and the most definite reason behind it is the phenomenal increase in online transactions …
Harvesting Insights: An Innovative Framework for Maize Leaf Disease Detection through CNN and Random Forest Integrations
Maize, also known as corn (Zea mays), is a staple food for humans and animals alike and a
key component in numerous economic sectors. While maize is an essential cereal crop, its …
key component in numerous economic sectors. While maize is an essential cereal crop, its …
Enhanced Citrus Fruit Disease Detection: Combining CNN and Random Forest Models
D Banerjee, V Kukreja, S Chamoli… - … on Advancements in …, 2024 - ieeexplore.ieee.org
In this study, through an emphasis on the precision, recollection, F1-Score, encouragement,
support proportion, etc. accuracy metrics across different criticality stages, indicating varied …
support proportion, etc. accuracy metrics across different criticality stages, indicating varied …
An Adaptive Convolutional Neural Network-Random Forest Model for Human Monkeypox Detection and Severity Grading
The zoonotic viral illness known as monkeypox poses a substantial threat to public health
because it can be transmitted from human to human and can emerge in a wide variety of …
because it can be transmitted from human to human and can emerge in a wide variety of …