Recent trends in AI-based intelligent sensing
In recent years, intelligent sensing has gained significant attention because of its
autonomous decision-making ability to solve complex problems. Today, smart sensors …
autonomous decision-making ability to solve complex problems. Today, smart sensors …
A new generation of sensors and monitoring tools to support climate-smart forestry practices
Climate-smart forestry (CSF) is an emerging branch of sustainable adaptive forest
management aimed at enhancing the potential of forests to adapt to and mitigate climate …
management aimed at enhancing the potential of forests to adapt to and mitigate climate …
Improving big citizen science data: Moving beyond haphazard sampling
Citizen science is mainstream: millions of people contribute data to a growing array of citizen
science projects annually, forming massive datasets that will drive research for years to …
science projects annually, forming massive datasets that will drive research for years to …
[HTML][HTML] Mobile augmented reality for flood visualisation
P Haynes, S Hehl-Lange, E Lange - Environmental modelling & software, 2018 - Elsevier
Abstract Mobile Augmented Reality (MAR) for environmental planning and design has
hardly been touched upon, yet mobile smart devices are now capable of complex …
hardly been touched upon, yet mobile smart devices are now capable of complex …
Citizen science: New research challenges for human–computer interaction
J Preece - International Journal of Human-Computer Interaction, 2016 - Taylor & Francis
Citizen science broadly describes citizen involvement in science. Citizen science has
gained significant momentum in recent years, brought about by widespread availability of …
gained significant momentum in recent years, brought about by widespread availability of …
Citizens AND HYdrology (CANDHY): conceptualizing a transdisciplinary framework for citizen science addressing hydrological challenges
F Nardi, C Cudennec, T Abrate, C Allouch… - Hydrological …, 2022 - Taylor & Francis
Widely available digital technologies are empowering citizens who are increasingly well
informed and involved in numerous water, climate, and environmental challenges. Citizen …
informed and involved in numerous water, climate, and environmental challenges. Citizen …
Using iNaturalist presence data to produce suitability maps for Triatoma protracta, T. rubida and T. recurva in the American Southwest, Texas and northern Mexico …
J Hill, E Teal, CL Cross, Z Sanchez, MM Webber… - Scientific Reports, 2024 - nature.com
There are 11 species of triatomines in the USA, with seven reported in the American
Southwest. These species are capable of transmitting Trypanosoma cruzi, the etiological …
Southwest. These species are capable of transmitting Trypanosoma cruzi, the etiological …
Coproducing weather forecast information with and for smallholder farmers in Ghana: evaluation and design principles
Many West African farmers are struggling to cope with changing weather and climatic
conditions. This situation limits farmers' ability to make optimal decisions for food and …
conditions. This situation limits farmers' ability to make optimal decisions for food and …
Opportunistic sensor data collection with bluetooth low energy
Bluetooth Low Energy (BLE) has gained very high momentum, as witnessed by its
widespread presence in smartphones, wearables and other consumer electronics devices …
widespread presence in smartphones, wearables and other consumer electronics devices …
Laius: An 8-bit fixed-point CNN hardware inference engine
Z Li, L Wang, S Guo, Y Deng, Q Dou… - … on Parallel and …, 2017 - ieeexplore.ieee.org
Convolutional Neural Network (CNN) is one of the most effective neural network model for
many classification tasks, such as voice recognition, computer vision and biological …
many classification tasks, such as voice recognition, computer vision and biological …