An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge

Automated location invariant animal detection in camera trap images using publicly available data sources

(2021) Andrew Shepley et al.   Ecology and Evolution

Desert bighorn sheep (Ovis canadensis) recognition from camera traps based on learned features

(2021) Manuel Vargas-Felipe et al.   Ecological Informatics

Metaheuristic algorithm for anomaly detection in Internet of Things leveraging on a neural-driven multiagent system

(2021) Agostino Forestiero   KNOWLEDGE-BASED SYSTEMS

Three critical factors affecting automated image species recognition performance for camera traps

(2020) Stefan Schneider et al.   Ecology and Evolution

PhotoId-Whale: Blue whale dorsal fin classification for mobile devices

(2020) Rosa I. Ramos-Arredondo et al.   PLoS One

A deep active learning system for species identification and counting in camera trap images

(2020) Mohammad Sadegh Norouzzadeh et al.   Methods in Ecology and Evolution

Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2

(2020) Michael A. Tabak et al.   Ecology and Evolution

Snap happy: camera traps are an effective sampling tool when compared with alternative methods

(2019) Oliver R. Wearn et al.   Royal Society Open Science

Animal Scanner: Software for classifying humans, animals, and empty frames in camera trap images

(2019) Hayder Yousif et al.   Ecology and Evolution

Insights and approaches using deep learning to classify wildlife

(2019) Zhongqi Miao et al.   Scientific Reports

Wildlife surveillance using deep learning methods

(2019) Ruilong Chen et al.   Ecology and Evolution

A survey on semi-supervised learning

(2019) Jesper E. van Engelen et al.   MACHINE LEARNING

Zilong: A tool to identify empty images in camera-trap data

(2019) Weideng Wei et al.   Ecological Informatics

OUP accepted manuscript

(2018)   ICES JOURNAL OF MARINE SCIENCE

A Survey of LoRaWAN for IoT: From Technology to Application

(2018) Jetmir Haxhibeqiri et al.   SENSORS

Identifying animal species in camera trap images using deep learning and citizen science

(2018) Marco Willi et al.   Methods in Ecology and Evolution

Machine learning to classify animal species in camera trap images: Applications in ecology

(2018) Michael A. Tabak et al.   Methods in Ecology and Evolution

Understanding the Limits of LoRaWAN

(2017) Ferran Adelantado et al.   IEEE COMMUNICATIONS MAGAZINE