Self-Organizing Neural Grove for Malware Detection in IoT Edge Devices. [PDF]
Inoue H, Komura T, Hashimoto I.
europepmc +1 more source
Care through cultivation: Indigenous Swidden agriculture as forest care
Abstract This paper argues that the agricultural practices of Bunong swidden cultivators in northeastern Cambodia constitute relational care for forests that is fundamentally misunderstood, misrecognized, and marginalized by dominant state policies, conservation, and development paradigms. Bringing together care theory, long‐term ethnographic research,
Esther Leemann
wiley +1 more source
Polarization-Regularized Adversarial Pruning for Efficient Radio Frequency Fingerprint Identification on IoT Devices. [PDF]
Zhao C, Jiang H, Yu J, Meng Z, He X.
europepmc +1 more source
Seeing both heritage and resource: A relational approach to forest owners' decision‐making
Abstract The loss of forest habitats calls for a change in the intensity and scale at which forests are managed. With voluntary policies on the rise, there is greater focus on understanding the motivations of private forest owners. While private forest management is likely driven by both economic and non‐economic factors, previous literature has paid ...
Hanna Ekström Pigot
wiley +1 more source
An analysis of pruning practices in soilless tomato cultivation. [PDF]
Çolak A +4 more
europepmc +1 more source
Development of a rapid, low‐cost method for measuring residual glass fibre length: samples are collected by tweezers, prepared via submersion, imaged with a flatbed scanner as a cost‐effective alternative to microscopy, and analyzed for fibre length independently of image acquisition.
Tina Mayrhofer +3 more
wiley +1 more source
The potential role of aberrant microglial synaptic pruning in the neurodevelopmental pathogenesis of tourette syndrome. [PDF]
Lu L, Zang Y, Song C, Wang Y.
europepmc +1 more source
A token-pruning framework enables efficient representation of the human genome for RNA modification analysis. [PDF]
Gao W +7 more
europepmc +1 more source
A robust cross-crop disease detection framework based on SIS-YOLOv11 with climate-adaptive mechanisms. [PDF]
Wang Y, Qin R, Zhang Z.
europepmc +1 more source

