Deep learning in neglected vector-borne diseases: a systematic review

A Mishra, A Pandey, R Malhotra - International Journal of System …, 2024 - Springer
This study explores the application of Deep Learning in combating neglected vector-borne
Diseases, a significant global health concern, particularly in resource-limited areas. It …

Advancing vector-borne disease prediction through functional classifier integration: A novel approach for enhanced modeling: Machine learning tools and vector …

MH Tito, MHE Jannat, MT Aktar, B Saha… - Letters In Animal …, 2024 - liabjournal.com
This paper evaluates various machine learning models for predicting vector-borne diseases,
focusing on performance metrics that reveal insights into their efficacy. The Multilayer …

Predictive Modeling of Global Vector-Borne Diseases: Leveraging Machine Learning for Intervention Strategies

MH Tito, M Arifuzzaman, MS Rahman… - … for Sustainability and …, 2024 - ieeexplore.ieee.org
This paper addresses the evolving landscape of global infectious diseases, emphasizing the
pivotal role of vector-borne diseases in public health. Focusing on eleven formidable …

[PDF][PDF] Deep learning based automatic vehicle license plate recognition system for enhanced vehicle identification

A Mhatre, P Sharma, AR Maurya - International Journal on Recent …, 2023 - researchgate.net
An innovative Automatic Vehicle License Plate Recognition (AVLPR) system that effectively
identifies vehicles using deep learning algorithms. Accurate and real-time license plate …

Exploratory Data Analysis of Vector Borne Diseases using Random Forest, Gradient Boosting, AdaBoost, and XGBoost Pre-Trained Models

KS Gill, V Anand, R Gupta - 2023 IEEE Fifth International …, 2023 - ieeexplore.ieee.org
Before creating predictive models, exploratory data analysis (EDA) is a crucial stage in
comprehending and visualising the properties of the data. EDA aids in the discovery of …