Generative AI Model for Artistic Style Transfer Using Convolutional Neural Networks
Artistic style transfer, a captivating application of generative artificial intelligence, involves
fusing the content of one image with the artistic style of another to create unique visual …
fusing the content of one image with the artistic style of another to create unique visual …
Improving Cardiovascular Disease Prediction Through Comparative Analysis of Machine Learning Models: A Case Study on Myocardial Infarction
Cardiovascular disease remains a leading cause of mortality in the contemporary world. Its
association with smoking, elevated blood pressure, and cholesterol levels underscores the …
association with smoking, elevated blood pressure, and cholesterol levels underscores the …
Boosting Stock Price Prediction with Anticipated Macro Policy Changes
Prediction of stock prices plays a significant role in aiding the decision-making of investors.
Considering its importance, a growing literature has emerged trying to forecast stock prices …
Considering its importance, a growing literature has emerged trying to forecast stock prices …
Retail demand forecasting: a comparative study for multivariate time series
Accurate demand forecasting in the retail industry is a critical determinant of financial
performance and supply chain efficiency. As global markets become increasingly …
performance and supply chain efficiency. As global markets become increasingly …
A Comparative Analysis of Machine Learning Approaches for Chronic Kidney Disease Detection
RH Khan, J Miah, MAR Rahat… - 2023 8th …, 2023 - ieeexplore.ieee.org
In performing tests and diagnosing illness in healthcare, symptom experiment processes are
used to detect the fundamental cause of syndromes. In this research, we employed a …
used to detect the fundamental cause of syndromes. In this research, we employed a …
Predicting Kidney Failure using an Ensemble Machine Learning Model: A Comparative Study
Within the domain of healthcare, medical diagnoses invariably necessitate comprehensive
physical examinations and meticulous reviews of patients' medical histories. This study …
physical examinations and meticulous reviews of patients' medical histories. This study …
Deep Learning in Stock Market Forecasting: Comparative Analysis of Neural Network Architectures Across NSE and NYSE
BP Ghosh, MS Bhuiyan, D Das… - Journal of …, 2024 - al-kindipublisher.com
This research explores the application of four deep learning architectures—Multilayer
Perceptron (MLP), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM) …
Perceptron (MLP), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM) …
Comparing Machine Learning Techniques for Detecting Chronic Kidney Disease in Early Stage
In medical care, side effect trial and error processes are utilized for the discovery of hidden
reasons for ailments and the determination of conditions. In our exploration, we used a …
reasons for ailments and the determination of conditions. In our exploration, we used a …
Dominance of External Features in Stock Price Prediction in a Predictable Macroeconomic Environment
Understanding the factors affecting future stock prices has been of prime importance across
the globe, as accurate stock price prediction is directly related to financial gains. Its interest …
the globe, as accurate stock price prediction is directly related to financial gains. Its interest …
Deep Learning-Based COVID-19 Detection from Chest X-ray Images: A Comparative Study
The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has rapidly spread across the
globe, leading to a significant number of illnesses and fatalities. Effective containment of the …
globe, leading to a significant number of illnesses and fatalities. Effective containment of the …