Automation Techniques in Tropical Diseases
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9943-9_9
Reference34 articles.
1. Pujara P, Parmar M, Rupakar P, Asawa K, Patel S. An introduction to tropical disease: a review article. Int J Med Microbiol Trop Dis. 2016;2:81.
2. Wilson AL, Courtenay O, Kelly-Hope LA, Scott TW, Takken W, Torr SJ, Lindsay SW. The importance of vector control for the control and elimination of vector-borne diseases. PLoS Negl Trop Dis. 2020;14(1):e0007831.
3. Vijayakumar V, Malathi D, Subramaniyaswamy V, Saravanan P, Logesh R. Fog computing-based intelligent healthcare system for the detection and prevention of mosquito-borne diseases. Comput Hum Behav. 2019;100:275–85.
4. Park J, Kim DI, Choi B, Kang W, Kwon HW. Classification and morphological analysis of vector mosquitoes using deep convolutional neural networks. Sci Rep. 2020;10(1):1–12.
5. Minakshi M, Bharti P, McClinton WB III, Mirzakhalov J, Carney RM, Chellappan S. Automating the surveillance of mosquito vectors from trapped specimens using computer vision techniques. In: Proceedings of the 3rd ACM SIGCAS conference on computing and sustainable societies; 2020. p. 105–15.
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