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相关论文: Autonomous Mosquito Habitat Detection Using Satell…

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Among all animals, mosquitoes are responsible for the most deaths worldwide. Interestingly, not all types of mosquitoes spread diseases, but rather, a select few alone are competent enough to do so. In the case of any disease outbreak, an…

计算机视觉与模式识别 · 计算机科学 2020-07-23 Mona Minakshi , Pratool Bharti , Willie B. McClinton , Jamshidbek Mirzakhalov , Ryan M. Carney , Sriram Chellappan

Mosquito-borne diseases (MBDs), such as dengue virus, chikungunya virus, and West Nile virus, cause over one million deaths globally every year. Because many such diseases are spread by the Aedes and Culex mosquitoes, tracking these larvae…

计算机视觉与模式识别 · 计算机科学 2022-09-19 Aswin Surya , David B. Peral , Austin VanLoon , Akhila Rajesh

The re-emergence of mosquito-borne diseases (MBDs), which kill hundreds of thousands of people each year, has been attributed to increased human population, migration, and environmental changes. Convolutional neural networks (CNNs) have…

计算机视觉与模式识别 · 计算机科学 2021-11-01 Gereziher Adhane , Mohammad Mahdi Dehshibi , David Masip

Mosquitoes are a major vector for malaria, causing hundreds of thousands of deaths in the developing world each year. Not only is the prevention of mosquito bites of paramount importance to the reduction of malaria transmission cases, but…

机器学习 · 统计学 2017-12-07 Yunpeng Li , Davide Zilli , Henry Chan , Ivan Kiskin , Marianne Sinka , Stephen Roberts , Kathy Willis

With the looming threat of climate change, neglected tropical diseases such as dengue, zika, and chikungunya have the potential to become an even greater global concern. Remote sensing technologies can aid in controlling the spread of Aedes…

计算机视觉与模式识别 · 计算机科学 2023-10-17 Camila Laranjeira , Daniel Andrade , Jefersson A. dos Santos

In this paper, we present a novel approach to the development and deployment of an autonomous mosquito breeding place detector rover with the object and obstacle detection capabilities to control mosquitoes. Mosquito-borne diseases continue…

Every year, the Aedes aegypti mosquito infects millions of people with diseases such as dengue, zika, chikungunya, and urban yellow fever. The main form to combat these diseases is to avoid mosquito reproduction by searching for and…

计算机视觉与模式识别 · 计算机科学 2021-11-30 Wesley L. Passos , Gabriel M. Araujo , Amaro A. de Lima , Sergio L. Netto , Eduardo A. B. da Silva

Many real-world time-series analysis problems are characterised by scarce data. Solutions typically rely on hand-crafted features extracted from the time or frequency domain allied with classification or regression engines which condition…

The global population at risk of mosquito-borne diseases such as dengue, yellow fever, chikungunya and Zika is expanding. Infectious disease models commonly incorporate environmental measures like temperature and precipitation. Given…

计算机与社会 · 计算机科学 2019-04-04 Nabeel Abdur Rehman , Umar Saif , Rumi Chunara

Mosquito-related diseases pose a significant threat to global public health, necessitating efficient and accurate mosquito classification for effective surveillance and control. This work presents an innovative approach to mosquito…

计算机视觉与模式识别 · 计算机科学 2024-11-05 Ahmed Akib Jawad Karim , Muhammad Zawad Mahmud , Riasat Khan

Monitoring the spread of disease-carrying mosquitoes is a first and necessary step to control severe diseases such as dengue, chikungunya, Zika or yellow fever. Previous citizen science projects have been able to obtain large image datasets…

计算机视觉与模式识别 · 计算机科学 2021-11-01 Gereziher Adhane , Mohammad Mahdi Dehshibi , David Masip

Nowadays, Vector-Borne Diseases (VBDs) raise a severe threat for public health, accounting for a considerable amount of human illnesses. Recently, several surveillance plans have been put in place for limiting the spread of such diseases,…

Mosquito-borne diseases cause several hundred thousand deaths every year. Deciphering mosquito host-seeking behavior is essential to prevent disease transmission through mosquito capture and surveillance. Despite recent substantial…

Due to climate-induced changes, many habitats are experiencing range shifts away from their traditional geographic locations (Piguet, 2011). We propose a solution to accurately model whether bird species are present in a specific habitat…

人工智能 · 计算机科学 2025-07-16 Emir Durakovic , Min-Hong Shih

Mosquito-borne diseases cause significant public health burden, mostly in tropical and sub-tropical regions, and are widely emerging or re-emerging in areas where previously absent. Understanding, predicting, and mitigating the spread of…

Monitoring the responses of plants to environmental changes is essential for plant biodiversity research. This, however, is currently still being done manually by botanists in the field. This work is very laborious, and the data obtained…

Convolutional neural networks (CNN) have been used efficiently in several fields, including environmental challenges. In fact, CNN can help with the monitoring of marine litter, which has become a worldwide problem. UAVs have higher…

计算机视觉与模式识别 · 计算机科学 2025-08-25 Ousmane Youme , Jean Marie Dembélé , Eugene C. Ezin , Christophe Cambier

Mosquito habitat ranges are projected to expand due to climate change. This investigation aims to identify future mosquito habitats by analyzing preferred ecological conditions of mosquito larvae. After assembling a data set with…

机器学习 · 计算机科学 2022-10-11 Christopher Sun , Jay Nimbalkar , Ravnoor Bedi

The occurrence of West Nile Virus (WNV) represents one of the most common mosquito-borne zoonosis viral infections. Its circulation is usually associated with climatic and environmental conditions suitable for vector proliferation and virus…

计算机视觉与模式识别 · 计算机科学 2023-07-07 Lorenzo Bonicelli , Angelo Porrello , Stefano Vincenzi , Carla Ippoliti , Federica Iapaolo , Annamaria Conte , Simone Calderara

Efficient crop production requires early detection of pest outbreaks and timely treatments; we consider a solution based on a fleet of multiple autonomous miniaturized unmanned aerial vehicles (nano-UAVs) to visually detect pests and a…

机器人学 · 计算机科学 2025-02-21 Luca Crupi , Luca Butera , Alberto Ferrante , Alessandro Giusti , Daniele Palossi
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