Leveraging transfer learning with deep learning for crime prediction
Crime remains a crucial concern regarding ensuring a safe and secure environment for the
public. Numerous efforts have been made to predict crime, emphasizing the importance of …
public. Numerous efforts have been made to predict crime, emphasizing the importance of …
DiffCrime: A Multimodal Conditional Diffusion Model for Crime Risk Map Inference
S Wang, X Pan, S Ruan, H Han, Z Wang… - Proceedings of the 30th …, 2024 - dl.acm.org
Crime risk map plays a crucial role in urban planning and public security management.
Traditionally, it is obtained solely from historical crime incidents or inferred from limited …
Traditionally, it is obtained solely from historical crime incidents or inferred from limited …
[HTML][HTML] Forecasting PM2. 5 in Malaysia using a hybrid model
Predicting future PM2. 5 concentrations based on knowledge obtained from past
observational data is very useful for predicting air pollution. This paper aims to develop a …
observational data is very useful for predicting air pollution. This paper aims to develop a …
[HTML][HTML] Exponential smoothing method against the gradient boosting machine learning algorithm-based model for materials forecasting to minimize inventory
The optimization of resources and reduction of costs through efficient inventory management
are paramount to organizational success. This study undertakes a comparative analysis of …
are paramount to organizational success. This study undertakes a comparative analysis of …
Utility of Smoothing Techniques in Yield Curve Modeling for the Asian Pacific Frontier Capital Market
K Dayarathne, U Thayasiwam - SN Computer Science, 2024 - Springer
Traditional yield curve models, such as the Nelson–Siegel parsimonious model, excel in
accurately depicting the interest rate term structure when applied to smoothly evolving yield …
accurately depicting the interest rate term structure when applied to smoothly evolving yield …
Utility of Smoothing Techniques in Yield Curve Modeling for Non-Steady State Data of Sri Lanka Capital Market
K Dayarathne, U Thayasivam - International Conference on Data Science …, 2023 - Springer
Traditional yield curve models such as Nelson–Sigeal parsimonious model represent the
interest rate term structure at high accuracy with smoothed yield curve data. The model …
interest rate term structure at high accuracy with smoothed yield curve data. The model …
Deep Learning for Crime Forecasting of Multiple Regions, Considering Spatial–Temporal Correlations between Regions
M Solís, LA Calvo-Valverde - Engineering Proceedings, 2024 - mdpi.com
Crime forecasting has gained popularity in recent years; however, the majority of studies
have been conducted in the United States, which may result in a bias towards areas with a …
have been conducted in the United States, which may result in a bias towards areas with a …
Sustainable Emergency Response through Data-Driven and Machine Learning Approaches: A Review
Z Ahmad, SH Hussain, M Iqbal… - … on Human-Centered …, 2023 - ieeexplore.ieee.org
The study highlights the increasing occurrence of catastrophic events stemming from rapid
population growth, urbanization, and global climate change. It emphasizes the need for …
population growth, urbanization, and global climate change. It emphasizes the need for …
An algorithm finding the smallest mean square error in the exponential smoothing method for forecasting time series data
A Alfian, M Djafar, NP Murnaka, S Sulistiawati… - AIP Conference …, 2024 - pubs.aip.org
One of the measurements for evaluating time series forecasting performances is the mean
square error (MSE). This paper proposes an algorithm to find the smallest MSE. To capture …
square error (MSE). This paper proposes an algorithm to find the smallest MSE. To capture …
Comparative Review of Different Techniques for Predictive Analytics in Crime Data Over Online Social Media
Social media platforms have swiftly become a vital platform for information sharing and
communication. Its services are constantly being used by millions of people to connect with …
communication. Its services are constantly being used by millions of people to connect with …