Results 151 to 160 of about 1,041 (249)

BHFVAL: Block chain-Enabled Hierarchical Federated Variational Auto encoder Framework for Secure Intrusion Detection in Vehicular Networks. [PDF]

Sci Rep
Visuvanathan GE, Sayeed MS, Yogarayan S.
europepmc   +1 more source

Detecting Plateau Zokor (Eospalax baileyi) Mounds in UAV Imagery of Alpine Meadows Using Deep Learning Algorithms

Remote Sensing in Ecology and Conservation, EarlyView.
We developed PZM‐YOLO to automatically detect plateau zokor mounds in UAV imagery of alpine meadows. The model achieved reliable detection of small and densely distributed mounds under complex backgrounds, outperforming the baseline YOLOv5s. This framework supports mound counting, mound position, rodent impact assessment, and grassland restoration ...
Yang Yang, Limin Hua, Lianguo Wang, Jiazhen Li, Rui Dong, Siwei Yang   +5 more
wiley   +1 more source

A Learning-Guided Meta-Heuristic Approach for Task Offloading in Four-Tier IoT Networks: A Hybrid UCB-ACO Algorithm. [PDF]

Biomimetics (Basel)
Akkan LÖ.
europepmc   +1 more source

Paradigms and Principles for Integrating Nature Technology Data: Challenges, Opportunities, and Next Steps in Real‐World Biodiversity Monitoring

Remote Sensing in Ecology and Conservation, EarlyView.
We propose a set of paradigms (survey design, tip and cue, validation, consilience, interpolation and extrapolation, and data fusion) and prioritize a set of principles (metadata standards, use rights and licensing, scientific rigor, and utility) as the foundations of an actionable framework for nature technology data integration. We then analyze seven
Seamus Lombardo, Amy Rosenthal, Christopher Anderson, Ken Bagstad, Carly Batist, Christopher Beirne, Paul Bunje, Marconi Campos‐Cerqueira, Jeremy Cusack, Elsa Carla De Grandi, Rachel King, Trond Larsen, David Luther, Jennifer McGowan, Adrien Pajot, Xavier Raick, Vijay Ramesh, Chelsea Smith, Ali Swanson, Tom Walker   +19 more
wiley   +1 more source

Edge Driven Trust Aware Threat Detection for IoT Enabled Intelligent Transportation Systems. [PDF]

Sensors (Basel)
Alshudukhi KS, Humayun M, Alsalem AO, Khan MF, Haseeb K.   +4 more
europepmc   +1 more source

Integrating Image Segmentation and Deep Learning to Improve Radio Frequency Propagation Models

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper proposes a multi‐sensor approach to improve radio frequency (RF) propagation models, which play a key role in the rapidly expanding field of connected vehicle technology. Focusing on the 1‐ to 20‐GHz frequency range, which is critical for both satellite‐to‐vehicle and base station‐to‐vehicle communications, our study introduces a ...
Jonathan Israel, Xavier Boulanger, Vegard Arneson   +2 more
wiley   +1 more source

Enabling Communication Resiliency in the Connected Car Environment. [PDF]

Sensors (Basel)
Guerrero-Ibáñez A, Contreras-Castillo J, Zeadally S, Hong EK.   +3 more
europepmc   +1 more source

The Transformational STEM Consciousness Scale: A QuantCrit Measure of a Liberatory STEM Outcome

Science Education, EarlyView.
ABSTRACT Guided by QuantCrit, we introduce and validate the Transformational STEM Consciousness (TSC) scale, which fuses students' motivation to pursue racial and social justice through STEM with a critique of STEM's historic complicity in inequity. Surveying 255 undergraduate and graduate students in 18 justice‐integrated STEM courses across 11 US ...
Juan C. Garibay, Lindsay Wheeler
wiley   +1 more source

Multimodal sensor-based response mechanisms of drivers under adverse weather conditions using EEG spectral entropy and prediction entropy. [PDF]

Front Neurosci
Tian Y, Hu J, Ding H, Yang B, Hu J, Liu Y, Ding Y.   +6 more
europepmc   +1 more source

Environmental Footprint of Diffuse Emissions in European Functional Urban Areas

Sustainable Development, EarlyView.
ABSTRACT This paper quantifies the environmental footprint of diffuse air emissions across 776 European functional urban areas (FUAs) from 2005 to 2022 by coupling Copernicus Atmosphere Monitoring Service (CAMS) gridded inventories with the Environmental Footprint (EF) 3.1 framework.
Iñaki Sasia, Gorka Bueno, Iker Etxano
wiley   +1 more source