Cargando…

Multi-Horizon Air Pollution Forecasting with Deep Neural Networks

Air pollution is a global problem, especially in urban areas where the population density is very high due to the diverse pollutant sources such as vehicles, industrial plants, buildings, and waste. North Macedonia, as a developing country, has a serious problem with air pollution. The problem is hi...

Descripción completa

Detalles Bibliográficos
Autores principales:	Arsov, Mirche, Zdravevski, Eftim, Lameski, Petre, Corizzo, Roberto, Koteli, Nikola, Gramatikov, Sasho, Mitreski, Kosta, Trajkovik, Vladimir
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916344/ https://www.ncbi.nlm.nih.gov/pubmed/33578633 http://dx.doi.org/10.3390/s21041235

Ejemplares similares

Literature on Applied Machine Learning in Metagenomic Classification: A Scoping Review
por: Tonkovic, Petar, et al.
Publicado: (2020)

Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification
por: Petrovska, Biserka, et al.
Publicado: (2020)

Can the Eight Hop Test Be Measured with Sensors? A Systematic Review
por: Pimenta, Luís, et al.
Publicado: (2022)

Technological Solutions for Older People with Alzheimer’s Disease: Review
por: Maresova, Petra, et al.
Publicado: (2018)

Towards Detecting Pneumonia Progression in COVID-19 Patients by Monitoring Sleep Disturbance Using Data Streams of Non-Invasive Sensor Networks
por: Dimitrievski, Ace, et al.
Publicado: (2021)

Rural Healthcare IoT Architecture Based on Low-Energy LoRa
por: Dimitrievski, Ace, et al.
Publicado: (2021)

Aging at Work: A Review of Recent Trends and Future Directions
por: Barakovic Husic, Jasmina, et al.
Publicado: (2020)

Activities of daily living with motion: A dataset with accelerometer, magnetometer and gyroscope data from mobile devices
por: Pires, Ivan Miguel, et al.
Publicado: (2020)

Daily motionless activities: A dataset with accelerometer, magnetometer, gyroscope, environment, and GPS data
por: Pires, Ivan Miguel, et al.
Publicado: (2022)

Indoor and outdoor environmental data: A dataset with acoustic data acquired by the microphone embedded on mobile devices
por: Pires, Ivan Miguel, et al.
Publicado: (2021)

GAN-Based Image Colorization for Self-Supervised Visual Feature Learning
por: Treneska, Sandra, et al.
Publicado: (2022)

Mobile 5P-Medicine Approach for Cardiovascular Patients
por: Pires, Ivan Miguel, et al.
Publicado: (2021)

Experimental Study on Wound Area Measurement with Mobile Devices
por: Ferreira, Filipe, et al.
Publicado: (2021)

Literature on Wearable Technology for Connected Health: Scoping Review of Research Trends, Advances, and Barriers
por: Loncar-Turukalo, Tatjana, et al.
Publicado: (2019)

Correction: Ambient Assisted Living: Scoping Review of Artificial Intelligence Models, Domains, Technology, and Concerns
por: Jovanovic, Mladjan, et al.
Publicado: (2022)

Ambient Assisted Living: Scoping Review of Artificial Intelligence Models, Domains, Technology, and Concerns
por: Jovanovic, Mladjan, et al.
Publicado: (2022)

Promotion of Healthy Lifestyles to Teenagers with Mobile Devices: A Case Study in Portugal
por: Villasana, María Vanessa, et al.
Publicado: (2020)

Promotion of Healthy Nutrition and Physical Activity Lifestyles for Teenagers: A Systematic Literature Review of The Current Methodologies
por: Villasana, María Vanessa, et al.
Publicado: (2020)

Mobile and wearable technologies for the analysis of Ten Meter Walk Test: A concise systematic review
por: Gabriel, Cristiana Lopes, et al.
Publicado: (2023)

Air Pollution Forecasts: An Overview
por: Bai, Lu, et al.
Publicado: (2018)

Thought on Food: A Systematic Review of Current Approaches and Challenges for Food Intake Detection
por: Neves, Paulo Alexandre, et al.
Publicado: (2022)

AIR POLLUTION: Mercury Emissions Not Shrinking as Forecast
por: Holzman, David C.
Publicado: (2010)

Advancing methods in big data capture, integration, classification and liberation
por: Zdravevski, Eftim, et al.
Publicado: (2023)

Air quality assessment and pollution forecasting using artificial neural networks in Metropolitan Lima-Peru
por: Cordova, Chardin Hoyos, et al.
Publicado: (2021)

Forecasting Hazard Level of Air Pollutants Using LSTM’s
por: Gul, Saba, et al.
Publicado: (2020)

Deep Flexible Sequential (DFS) Model for Air Pollution Forecasting
por: Kaya, Kıymet, et al.
Publicado: (2020)

The ecological forecast horizon, and examples of its uses and determinants
por: Petchey, Owen L, et al.
Publicado: (2015)

Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditions
por: Zdravevski, Eftim, et al.
Publicado: (2017)

Improving Road Traffic Forecasting Using Air Pollution and Atmospheric Data: Experiments Based on LSTM Recurrent Neural Networks
por: Awan, Faraz Malik, et al.
Publicado: (2020)

Explainable sequence-to-sequence GRU neural network for pollution forecasting
por: Mirzavand Borujeni, Sara, et al.
Publicado: (2023)

Near‐term phytoplankton forecasts reveal the effects of model time step and forecast horizon on predictability
por: Woelmer, Whitney M., et al.
Publicado: (2022)

Temporal variation analysis, impact of COVID-19 on air pollutant concentrations, and forecasting of air pollutants over the cities of Bangalore and Delhi in India
por: Meda, Bala Naga Manikanta, et al.
Publicado: (2022)

Editorial: Wearable and mobile data analysis methodologies for personalized medicine
por: Pires, Ivan Miguel, et al.
Publicado: (2023)

Algorithms for automated diagnosis of cardiovascular diseases based on ECG data: A comprehensive systematic review
por: Denysyuk, Hanna Vitaliyivna, et al.
Publicado: (2023)

Transformers for Multi-Horizon Forecasting in an Industry 4.0 Use Case
por: Vakaruk, Stanislav, et al.
Publicado: (2023)

Corrigendum to “Extraction of notable points from ECG data: A description of a dataset related to 30-s seated and 30-s stand up” [Data in Brief, volume 46 (2023) 108874]
por: Duarte, Rui Pedro, et al.
Publicado: (2023)

Extraction of notable points from ECG data: A description of a dataset related to 30-s seated and 30-s stand up
por: Duarte, Rui Pedro, et al.
Publicado: (2023)

Detecting central fixation by means of artificial neural networks in a pediatric vision screener using retinal birefringence scanning
por: Gramatikov, Boris I.
Publicado: (2017)

Canadian Forest Fires and the Effects of Long-Range Transboundary Air Pollution on Hospitalizations among the Elderly
por: Le, George E., et al.
Publicado: (2014)

Forecast horizon of multi-item dynamic lot size model with perishable inventory
por: Jing, Fuying, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_oeme920ophb9mcrcctmbq876b2