Crime prediction using machine learning and deep learning: A systematic review and future directions
Predicting crime using machine learning and deep learning techniques has gained
considerable attention from researchers in recent years, focusing on identifying patterns and …
considerable attention from researchers in recent years, focusing on identifying patterns and …
Attention based CNN model for fire detection and localization in real-world images
Fire is a severe natural calamity that causes significant harm to human lives and the
environment. Recent works have proposed the use of computer vision for developing a cost …
environment. Recent works have proposed the use of computer vision for developing a cost …
Minerals resource rent responses to economic performance, greener energy, and environmental policy in China: Combination of ML and ANN outputs
The relationship of mineral resources rent with economic performance, greener energy, and
environmental policy is crucial because it could impact how welfare and eco-friendly are …
environmental policy is crucial because it could impact how welfare and eco-friendly are …
Predicting lake water quality index with sensitivity-uncertainty analysis using deep learning algorithms
Regular monitoring and assessment of water quality is essential to maintain the quality of
lake water. A commonly used method for assessing water quality is the Water Quality Index …
lake water. A commonly used method for assessing water quality is the Water Quality Index …
Automated COVID‐19 detection in chest X‐ray images using fine‐tuned deep learning architectures
The COVID‐19 pandemic has a significant impact on human health globally. The illness is
due to the presence of a virus manifesting itself in a widespread disease resulting in a high …
due to the presence of a virus manifesting itself in a widespread disease resulting in a high …
Machine learning in crime prediction
K Jenga, C Catal, G Kar - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Predicting crimes before they occur can save lives and losses of property. With the help of
machine learning, many researchers have studied predicting crimes extensively. In this …
machine learning, many researchers have studied predicting crimes extensively. In this …
[HTML][HTML] A survey of artificial intelligence methods for renewable energy forecasting: Methodologies and insights
The efforts to revolutionize electric power generation and produce clean and sustainable
electricity have led to the exploration of renewable energy systems (RES). This form of …
electricity have led to the exploration of renewable energy systems (RES). This form of …
Role of artificial intelligence in future of education
R Shrivastava - … Journal of Professional Business Review: Int. J …, 2023 - dialnet.unirioja.es
Purpose: The purpose of this study is to examine that Globalization has radically altered
human society in the previous 150 years. With the internet of things, energy, and the cyber …
human society in the previous 150 years. With the internet of things, energy, and the cyber …
Social network analysis for crime rate detection using Spizella swarm optimization based BiLSTM classifier
P Mithoo, M Kumar - Knowledge-Based Systems, 2023 - Elsevier
Technical advancements initiated a rapid increase in criminal activity over time. For the
prevention of these criminal activities, preventive measures are needed. In order to monitor …
prevention of these criminal activities, preventive measures are needed. In order to monitor …
Recommendation engines-neural embedding to graph-based: Techniques and evaluations
The goal of any profit organization is to bolster its revenue by providing useful suggestions
to its customer base. In order to achieve this, vast research is being undertaken by …
to its customer base. In order to achieve this, vast research is being undertaken by …