Cargando…
Real-time biodiversity analysis using deep-learning algorithms on mobile robotic platforms
Ecological biodiversity is declining at an unprecedented rate. To combat such irreversible changes in natural ecosystems, biodiversity conservation initiatives are being conducted globally. However, the lack of a feasible methodology to quantify biodiversity in real-time and investigate population d...
Autores principales: | Panigrahi, Siddhant, Maski, Prajwal, Thondiyath, Asokan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495972/ https://www.ncbi.nlm.nih.gov/pubmed/37705641 http://dx.doi.org/10.7717/peerj-cs.1502 |
Ejemplares similares
-
A path planning method using modified harris hawks optimization algorithm for mobile robots
por: Cai, Cuicui, et al.
Publicado: (2023) -
Novel integrated matching algorithm using a deep learning algorithm for Wi-Fi fingerprint-positioning technique in the indoors-IoT era
por: Asaad, Safar Maghdid, et al.
Publicado: (2023) -
Epidemic monitoring in real-time based on dynamic grid search and Monte Carlo numerical simulation algorithm
por: Chen, Xin, et al.
Publicado: (2023) -
Deep learning model for deep fake face recognition and detection
por: ST, Suganthi, et al.
Publicado: (2022) -
Cyber-attack method and perpetrator prediction using machine learning algorithms
por: Bilen, Abdulkadir, et al.
Publicado: (2021)