Cargando…

Wearable Edge AI Applications for Ecological Environments

Ecological environments research helps to assess the impacts on forests and managing forests. The usage of novel software and hardware technologies enforces the solution of tasks related to this problem. In addition, the lack of connectivity for large data throughput raises the demand for edge-compu...

Descripción completa

Detalles Bibliográficos
Autores principales:	Silva, Mateus C., da Silva, Jonathan C. F., Delabrida, Saul, Bianchi, Andrea G. C., Ribeiro, Sérvio P., Silva, Jorge Sá, Oliveira, Ricardo A. R.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347733/ https://www.ncbi.nlm.nih.gov/pubmed/34372319 http://dx.doi.org/10.3390/s21155082

Ejemplares similares

Using Mobile Edge AI to Detect and Map Diseases in Citrus Orchards
por: da Silva, Jonathan C. F., et al.
Publicado: (2023)

Deep Learning Approach at the Edge to Detect Iron Ore Type
por: Klippel, Emerson, et al.
Publicado: (2021)

Field Research Cooperative Wearable Systems: Challenges in Requirements, Design and Validation
por: Silva, Mateus C., et al.
Publicado: (2019)

Software and Hardware Requirements and Trade-Offs in Operating Systems for Wearables: A Tool to Improve Devices’ Performance
por: J. P. Amorim, Vicente, et al.
Publicado: (2019)

A UAV-Based Framework for Semi-Automated Thermographic Inspection of Belt Conveyors in the Mining Industry
por: Carvalho, Regivaldo, et al.
Publicado: (2020)

Practical game AI programming: create game AI and implement cutting edge AI algorithms from scratch
por: DaGraça, Micael
Publicado: (2017)

COVID-19 Mandatory self-quarantine wearable device for authority monitoring with edge AI reporting & flagging system
por: Lim, Wei Jie, et al.
Publicado: (2022)

Wearable Technologies and AI at the Far Edge for Chronic Heart Failure Prevention and Management: A Systematic Review and Prospects
por: Shumba, Angela-Tafadzwa, et al.
Publicado: (2023)

Edge Computing and AI for Industrial Applications
por: Schall , Daniel
Publicado: (2021)

A synergistic future for AI and ecology
por: Han, Barbara A., et al.
Publicado: (2023)

Analyzing ecological restoration strategies for water and soil conservation
por: Saad, Sandra Isay, et al.
Publicado: (2018)

Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles
por: Grigorescu, Sorin, et al.
Publicado: (2020)

Equal but different: Natural ecotones are dissimilar to anthropic edges
por: Lourenço, Giselle M., et al.
Publicado: (2019)

Adaptive Extreme Edge Computing for Wearable Devices
por: Covi, Erika, et al.
Publicado: (2021)

Forecasting Air Temperature on Edge Devices with Embedded AI †
por: Codeluppi, Gaia, et al.
Publicado: (2021)

Blockchain and K-Means Algorithm for Edge AI Computing
por: Qiu, Xiaotian, et al.
Publicado: (2022)

Real-time infection prediction with wearable physiological monitoring and AI to aid military workforce readiness during COVID-19
por: Conroy, Bryan, et al.
Publicado: (2022)

Quantization-Aware NN Layers with High-throughput FPGA Implementation for Edge AI
por: Pistellato, Mara, et al.
Publicado: (2023)

Design and Evaluation of Novel Textile Wearable Systems for the Surveillance of Vital Signals
por: Trindade, Isabel G., et al.
Publicado: (2016)

A Heterogeneous Edge-Fog Environment Supporting Digital Twins for Remote Inspections
por: da Silva, Luiz A. Z., et al.
Publicado: (2020)

Direct Human-AI Comparison in the Animal-AI Environment
por: Voudouris, Konstantinos, et al.
Publicado: (2022)

HRNET: AI-on-Edge for Mask Detection and Social Distancing Calculation
por: Sengupta, Kinshuk, et al.
Publicado: (2022)

A Survey on Optimization Techniques for Edge Artificial Intelligence (AI)
por: Surianarayanan, Chellammal, et al.
Publicado: (2023)

Machine learning at the edge for AI-enabled multiplexed pathogen detection
por: Ganjalizadeh, Vahid, et al.
Publicado: (2023)

Intelligent Monitoring System with Privacy Preservation Based on Edge AI
por: Kim, Soohee, et al.
Publicado: (2023)

Retracted: Blockchain and K-Means Algorithm for Edge AI Computing
por: Intelligence and Neuroscience, Computational
Publicado: (2023)

The role of ecological niche evolution on diversification patterns of birds distinctly distributed between the Amazonia and Atlantic rainforests
por: da Silva, Ricardo Ribeiro, et al.
Publicado: (2020)

Ecological systems and the environment /
por: Foin, Theodore C.
Publicado: (1976)

AI-Enabled Wearable and Flexible Electronics for Assessing Full Personal Exposures
por: Shan, Guangcun, et al.
Publicado: (2020)

Development of a Wearable Camera and AI Algorithm for Medication Behavior Recognition
por: Lee, Hwiwon, et al.
Publicado: (2021)

A Wearable Multidimensional Motion Sensor for AI-Enhanced VR Sports
por: Guo, Zi Hao, et al.
Publicado: (2023)

How Wearable Technology Can Facilitate AI Analysis of Surgical Videos
por: Pugh, Carla M., et al.
Publicado: (2020)

Edge Machine Learning for AI-Enabled IoT Devices: A Review
por: Merenda, Massimo, et al.
Publicado: (2020)

Trends in IoT based solutions for health care: Moving AI to the edge
por: Greco, Luca, et al.
Publicado: (2020)

Optimal Mapping of Spiking Neural Network to Neuromorphic Hardware for Edge-AI
por: Xiao, Chao, et al.
Publicado: (2022)

Wearable Prophylaxis Tool for AI-Driven Identification of Early Warning Patterns of Pressure Ulcers
por: Gruenerbel, Lorenz, et al.
Publicado: (2023)

Theoretical study of the interaction of fullerenes with the emerging contaminant carbamazepine for detection in aqueous environments
por: Lemos Silva, Rodrigo A., et al.
Publicado: (2022)

Edge-Disjoint Branchings in Temporal Graphs
por: Campos, Victor, et al.
Publicado: (2020)

Characterization and Validation of Flexible Dry Electrodes for Wearable Integration
por: Nunes, Tiago, et al.
Publicado: (2023)

Bayesian factor analytic model: An approach in multiple environment trials
por: Nuvunga, Joel Jorge, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_nd6i1b1f6t9r84k0t5dsc45odf