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) …
Transforming Breast Cancer Identification: An In-Depth Examination of Advanced Machine Learning Models Applied to Histopathological Images
Breast cancer stands as one of the most prevalent and perilous forms of cancer affecting
both women and men. The detection and treatment of breast cancer benefit significantly from …
both women and men. The detection and treatment of breast cancer benefit significantly from …
Comparative Analysis of Machine Learning Models for Accurate Retail Sales Demand Forecasting
This article compares sales forecasting models, LSTM and LGBM, using retail sales data
from an American multinational company. The study employs a meticulous methodology …
from an American multinational company. The study employs a meticulous methodology …
Revolutionizing Organizational Decision-Making for Stock Market: A Machine Learning Approach with CNNs in Business Intelligence and Management
This research delves into the transformative impact of deep learning, specifically
Convolutional Neural Networks (CNNs) such as VGG16, ResNet50, and InceptionV3, on …
Convolutional Neural Networks (CNNs) such as VGG16, ResNet50, and InceptionV3, on …
A Comprehensive Review of Text Mining Approaches for Predicting Human Behavior using Deep Learning Method
This article presents a systematic review of research on predicting human behavior through
unstructured textual data, employing a comprehensive selection process illustrated in a flow …
unstructured textual data, employing a comprehensive selection process illustrated in a flow …
A Comprehensive Exploration of Outlier Detection in Unstructured Data for Enhanced Business Intelligence Using Machine Learning
Due to the rapid growth of online data, it is evident that social informatics faces a significant
obstacle. The task of effectively utilizing this abundance of information for business …
obstacle. The task of effectively utilizing this abundance of information for business …
The Influence of Social Media on Stock Market: A Transformer-Based Stock Price Forecasting with External Factors
This paper introduces an innovative approach to forecasting stock prices. Forecasting stock
prices is crucial in assisting investors in making informed decisions. Our research presents a …
prices is crucial in assisting investors in making informed decisions. Our research presents a …
Exploring the Multifaceted Impact of Artificial Intelligence and the Internet of Things on Smart City Management
KN Anjum, MAH Raju, MH Saikat… - Journal of …, 2024 - al-kindipublisher.com
The evolution of cities into sustainable and intelligent entities is undergoing a significant
transformation with the integration of Artificial Intelligence (AI) and the Internet of Things …
transformation with the integration of Artificial Intelligence (AI) and the Internet of Things …
[PDF][PDF] Embracing Transformative Trends: Leveraging Generative AI in Healthcare for Precision Medicine and Ethical Advancement.
Abstract Generative Artificial Intelligence (AI) has emerged as a transformative force in the
healthcare industry, offering innovative solutions and augmenting various facets of …
healthcare industry, offering innovative solutions and augmenting various facets of …