An analysis of detection and diagnosis of different classes of skin diseases using artificial intelligence-based learning approaches with hyper parameters
In recent years, metaheuristic optimizers have grown in popularity due to their ability to
efficiently optimize complex, high-dimensional problems that are difficult to solve using …
efficiently optimize complex, high-dimensional problems that are difficult to solve using …
Multiround transfer learning and modified generative adversarial network for lung cancer detection
Lung cancer has been the leading cause of cancer death for many decades. With the advent
of artificial intelligence, various machine learning models have been proposed for lung …
of artificial intelligence, various machine learning models have been proposed for lung …
1D convolutional neural networks-based soil fertility classification and fertilizer prescription
Sustainable agriculture is essential to meet the demands of the global population. An
adequate application of fertilizers is essential for sustainable agricultural productivity. This …
adequate application of fertilizers is essential for sustainable agricultural productivity. This …
Optimizing smart home intrusion detection with harmony-enhanced extra trees
In this study, we present an innovative network intrusion detection system (IDS) tailored for
Internet of Things (IoT)-based smart home environments, offering a novel deployment …
Internet of Things (IoT)-based smart home environments, offering a novel deployment …
Advances in Artificial Intelligence and Blockchain Technologies for Early Detection of Human Diseases
Modern healthcare should include artificial intelligence (AI) technologies for disease
identification and monitoring, particularly for chronic conditions, including heart, diabetes …
identification and monitoring, particularly for chronic conditions, including heart, diabetes …
Computational detection and interpretation of heart disease based on conditional variational auto-encoder and stacked ensemble-learning framework
Worldwide, cardiovascular disease is the leading cause of death. Based on clinical data, a
Machine Learning (ML) system can detect cardiac disease in its early stages, which enables …
Machine Learning (ML) system can detect cardiac disease in its early stages, which enables …
[HTML][HTML] A heart disease prognosis pipeline for the edge using federated learning
J Dheeba - e-Prime-Advances in Electrical Engineering …, 2024 - Elsevier
Cloud computing and edge computing have revolutionized deployments by giving virtually
unlimited computing and storage to ensure the scalability and availability of applications …
unlimited computing and storage to ensure the scalability and availability of applications …
Enhancing Coronary Artery Disease Prognosis: A Novel Dual-Class Boosted Decision Trees Strategy for Robust Optimization
The rise in stable coronary artery disease (CAD) due to improved survival rates and
population growth has increased patient numbers, straining healthcare systems. Machine …
population growth has increased patient numbers, straining healthcare systems. Machine …
[HTML][HTML] Day-Ahead electricity price forecasting using a CNN-BiLSTM model in conjunction with autoregressive modeling and hyperparameter optimization
The inherent volatility in electricity prices exerts a significant impact on the dynamic nature of
the electricity market, sha** the decision-making processes of its stakeholders. Precise …
the electricity market, sha** the decision-making processes of its stakeholders. Precise …
A novel approach for heart disease prediction using hybridized AITH2O algorithm and SANFIS classifier
J Sekar, P Aruchamy - Network: Computation in Neural Systems, 2024 - Taylor & Francis
In today's world, heart disease threatens human life owing to higher mortality and morbidity
across the globe. The earlier prediction of heart disease engenders interoperability for the …
across the globe. The earlier prediction of heart disease engenders interoperability for the …