Exploring machine learning potential for climate change risk assessment
Global warming is exacerbating weather, and climate extremes events and is projected to
aggravate multi-sectorial risks. A multiplicity of climate hazards will be involved, triggering …
aggravate multi-sectorial risks. A multiplicity of climate hazards will be involved, triggering …
Agricultural Big Data Architectures in the Context of Climate Change: A Systematic Literature Review
Climate change is currently one of agriculture's main problems in achieving sustainability. It
causes drought, increased rainfall, and increased diseases, causing a decrease in food …
causes drought, increased rainfall, and increased diseases, causing a decrease in food …
Machine learning–based approach to predict ice meltdown in glaciers due to climate change and solutions
The fate of humankind and all other life forms on earth is threatened by a foe, known as
climate change. All parts of the world are affected directly or indirectly by this phenomenon …
climate change. All parts of the world are affected directly or indirectly by this phenomenon …
Supporting Meteorologists in Data Analysis through Knowledge-Based Recommendations
T Reis, T Funke, S Bruchhaus, F Freund… - Big Data and Cognitive …, 2022 - mdpi.com
Climate change means coping directly or indirectly with extreme weather conditions for
everybody. Therefore, analyzing meteorological data to create precise models is gaining …
everybody. Therefore, analyzing meteorological data to create precise models is gaining …
AI-powered revolution in plant sciences: advancements, applications, and challenges for sustainable agriculture and food security
Artificial intelligence (AI) is revolutionizing plant sciences by enabling precise plant species
identification, early disease diagnosis, crop yield prediction, and precision agriculture …
identification, early disease diagnosis, crop yield prediction, and precision agriculture …
Wild Swarms: Autonomous Drones for Environmental Monitoring and Protection
CIC Intelligence, MLM Learning… - … of FinDrones 2023, 2024 - books.google.com
Climate change mitigation and environmental protection are likely to remain among the most
urgent challenges facing humanity in the coming decades. The European Environment …
urgent challenges facing humanity in the coming decades. The European Environment …
Implementation of Big Data Analytics and its Challenges in Digital Transformation Era: A Literature Review
FL Susanto, A Maulani, SN Nuri - International Journal of Informatics and …, 2024 - ijiis.org
The reliance on technology to support various aspects of human life has become very
relevant and significant. The steadily increasing volume of data (called big data) plays an …
relevant and significant. The steadily increasing volume of data (called big data) plays an …
A Deep Learning Model for Precipitation Nowcasting Using Data Fusion
ALSC da Cruz, S Outeiro, LF Kopp… - … on Multisensor Fusion …, 2024 - ieeexplore.ieee.org
Climate change is intensifying precipitation events, leading to increased flooding and
landslides, particularly in urban areas. Traditional Numerical Weather Prediction (NWP) …
landslides, particularly in urban areas. Traditional Numerical Weather Prediction (NWP) …
Prediction of outdoor thermal comfort changes and uncovering mitigation strategies based on machine learning algorithm: a decision support tool for climate-sensitive …
NS Modjrian - 2022 - theseus.fi
Cities are becoming increasingly warm as a result of climate change and increasing
population (Dimoudi et al., 2013). It forewarns severe weather and climate catastrophes …
population (Dimoudi et al., 2013). It forewarns severe weather and climate catastrophes …
The usage of big data and data analytics in the study of climate change
L Simões, L Ladeiro, J Bernardino… - 2021 16th Iberian …, 2021 - ieeexplore.ieee.org
In a world more and more connected with digital where the possibility of generating and
analyzing big quantities of data is becoming increasingly valuable for society, every day …
analyzing big quantities of data is becoming increasingly valuable for society, every day …