Estimating red deer Cervus elaphus population density using drones in a steep and rugged terrain
Precise and accurate information about population density, crucial for wildlife management, is difficult to obtain for elusive species living in dense forests or steep and inaccessible terrain. Using unmanned aerial vehicles (UAVs), we developed a method for obtaining absolute population estimates of ungulates living in steep, rugged, and partly ...
Julie Bommerlund +3 more
wiley +1 more source
Accessible, uniform protein property prediction with a scikit-learn based toolset AIDE. [PDF]
Komp E +5 more
europepmc +1 more source
IDeS + TRIZ: Sustainability Applied to DfAM for Polymer-Based Automotive Components. [PDF]
Leon-Cardenas C +3 more
europepmc +1 more source
Organizational debt-Roadblock to agility in software engineering: Exploring an emerging concept and future research for software excellence. [PDF]
Al-Baik O +3 more
europepmc +1 more source
Should you use data integration for your distribution model?
This paper explores cases where data integration (the joint modelling of two or more observational datasets) is useful for species distribution models, and also highlights cases where it's actually not useful. This provides the first concrete guidance for deciding whether or not data integration is worth your time.
Benjamin R. Goldstein +3 more
wiley +1 more source
A quantum-inspired, biomimetic, and fractal framework for self-healing AI code generation: bridging responsible automation and emergent intelligence. [PDF]
Nehzati M.
europepmc +1 more source
Abstract The adoption of a blended workforce model, comprising both ongoing and non‐ongoing employees, has become increasingly common in public sector organisations. Despite known challenges, including high turnover and knowledge gaps, its impact on middle managers’ well‐being remains understudied.
Vindhya Weeratunga +3 more
wiley +1 more source
Advancing real-time validation of automotive software systems via continuous integration and intelligent failure analysis. [PDF]
Abboush M, Knieke C, Rausch A.
europepmc +1 more source

