Recent trends in AI-based intelligent sensing

A Sharma, V Sharma, M Jaiswal, HC Wang… - Electronics, 2022 - mdpi.com
In recent years, intelligent sensing has gained significant attention because of its
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

C Torresan, M Benito Garzón, M O'grady… - Canadian Journal of …, 2021 - cdnsciencepub.com
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 …

Improving big citizen science data: Moving beyond haphazard sampling

CT Callaghan, JJL Rowley, WK Cornwell… - PLoS …, 2019 - journals.plos.org
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 …

[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 …

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 …

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 …

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 …

Coproducing weather forecast information with and for smallholder farmers in Ghana: evaluation and design principles

T Gbangou, R Sarku, EV Slobbe, F Ludwig… - Atmosphere, 2020 - mdpi.com
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 …

Opportunistic sensor data collection with bluetooth low energy

S Aguilar, R Vidal, C Gomez - Sensors, 2017 - mdpi.com
Bluetooth Low Energy (BLE) has gained very high momentum, as witnessed by its
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 …