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Compressive Sensing for Efficiently Collecting Wildlife Sounds with Wireless Sensor Networks., , , , and . ICCCN, page 1-7. IEEE, (2012)Similarity clustering for data fusion in Wireless Sensor Networks using k-means., , , and . IJCNN, page 1-7. IEEE, (2012)A Distributed Approach for Classifying Anuran Species Based on Their Calls., , and . ICPR, page 1242-1247. IEEE Computer Society, (2014)Poster Abstract: A Framework for Chainsaw Detection Using One-Class and WSNs., , , and . IPSN, page 35:1-35:2. IEEE, (2016)Automatic Classification of Anuran Sounds Using Convolutional Neural Networks., , , , , and . C3S2E, page 73-78. ACM, (2016)Feature subset selection for automatically classifying anuran calls using sensor networks., , , and . IJCNN, page 1-8. IEEE, (2012)Experimental Evaluation on Machine Learning Techniques for Human Activities Recognition in Digital Education Context., , , , , , , and . SOCIALEDU, volume 606 of Communications in Computer and Information Science, page 124-139. Springer, (2015)Uma abordagem para monitoramento de anuros baseada em processamento digital de sinais bioac?sticos.. Federal University of Amazonas, Manaus, Brazil, (2017)ndltd.org (oai:http://localhost:tede/6014).Recognizing Family, Genus, and Species of Anuran Using a Hierarchical Classification Approach., , and . DS, volume 9956 of Lecture Notes in Computer Science, page 198-212. (2016)Real Time Detection of Mobile Graphical User Interface Elements Using Convolutional Neural Networks., , , , and . WebMedia, page 159-167. ACM, (2022)