Timely, been having debates with sustainability colleagues that not all LCTs are zero emissions when we consider the entire life cycle and the grid's electricity mix. We proved this in our recent article @VavourisA@GeckoItn https://t.co/iKs567DdyH
https://t.co/1qaOSetJzu
Exploring the value of interdisciplinary mixed methods analyses with @StrathBiomedEng@stankovic_vlad@LauraMurrayPO to improve post injury or post stroke rehabilitation by automatically distinguishing stair and ground walking ambulation https://t.co/YBgS5hL9cx
Multidisciplinary perspectives at our 4th @GeckoItn training school @KTHuniversity hosted by @ceciliakatzeff @tom_hargreaves1 on Practices and Energy Demand Inc. Trustworthy AI and Living Labs. What were your take aways?
PL: Low demand and high levels of solar output contributed to Poland experiencing negative power prices for the first time on Sunday.
This is an unusual occurrence for Polish power, due to their fuel mix being largely made up of coal generation.
Seismic team on a roll with @aparasiris1 paper and accompanying dataset also accepted in @RemoteSens_MDPI for generating multi-stratified heterogeneous velocity models, demonstrated via a PIX2PIX conditional GAN for seismic inversion to map the subsurface https://t.co/eCftyK4xyC
Congrats to Jiangfeng, who kickstarted our seismic work, on award of his PhD and his latest paper proposing a multitask learning scheme that utilises the seismic wave equation and three-dimensional P-wave velocity model for signal representation learning. https://t.co/EdbRmMveBV
@ChiaraTellarini@GeckoItn That will be a useful discussion to have in the forthcoming @GeckoItn summer school as we look into Evaluation of Trustworthiness in the AI lifecycle
Leveraging on naturally interpretable #Machinelearning and model agnostic #XAI to minimise testing effort and effectively assess transferability of trained multi-class classifier models in different domains @MDPIOpenAccess https://t.co/TgOaZ1Z1aH
Around one third of all the food produced goes to waste. Producing, transporting & letting that food rot releases 8-10% of global greenhouse gases.
This #StopFoodWasteDay, check out @Strath_Eco's blog for some simple tips on reducing your food waste.
➡️ https://t.co/Fxd3zCPdqe
Our exciting work on understanding the infamous A83 Rest and Be Thankful slope failures in an attempt to predict and minimise road closures, presented tomorrow morning NH3.7 #egu2023 Thanks @NWTrunkRoads@JacobsConnects @dr_mark_naylor https://t.co/BhHGSEuwgH
Find out more about our exciting transferability findings, with accompanying dataset, for classification of seismic events and rockfalls from an active landslide in the French Alps to earthquake site in Greece @S_Pytharouli @stankovic_vlad
https://t.co/y4tzAlQ7lF
Active learning to query instances of uncertainty in deep-learning based load disaggregation for dynamic, real smart meter data - another step towards scalable AI solutions for NILM @GeckoItn@StrathclydeOA@stankovic_vlad https://t.co/peuRwc0ZFi
Our work was accepted for presentation at the 8th Int. EV Conf in Edinburgh, embedding actual end-user charging patterns into the overall EV life cycle assessment and emissions quantification @GeckoItn@VavourisA@stankovic_vlad@EEEStrathclyde https://t.co/iKs567DdyH
"An impactful project for sustainability in the European Built Environment " @MscaSensible An integrated decision support mechanism to improve the sustainability of smart buildings | SENSIBLE Project | Results in brief | H2020 | European Commission https://t.co/GXXosAEQ8d