Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm. [PDF]
Luo N, Ji F.
europepmc +1 more source
Integrating Image Segmentation and Deep Learning to Improve Radio Frequency Propagation Models
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 +2 more
wiley +1 more source
Auxiliary Discrminator Sequence Generative Adversarial Networks for Few Sample Molecule Generation. [PDF]
Tang H, Long J, Ji B, Wang J.
europepmc +1 more source
ABSTRACT This study examines the role of social capital in designing and implementing more effective governance strategies to improve the state of the Tagus River's significantly deteriorated middle reach (Spain). We employed social network analysis (SNA) to evaluate the bonding, bridging and linking social capital and the quality of stakeholder ...
Leticia Blázquez +2 more
wiley +1 more source
Classifier-driven generative adversarial networks for enhanced antimicrobial peptide design. [PDF]
Zervou MA +3 more
europepmc +1 more source
A Hero's Journey to Systemic Change: Developing Expertise in Agricultural Development
ABSTRACT Experts in rural development and agrarian change wield considerable influence over programme design and delivery, directing resources and shaping trajectories towards the Sustainable Development Goals (SDGs). Yet the pathways through which such expertise develops remain under‐examined. This study examines the journey to expertise among experts
Kirt Hainzer +7 more
wiley +1 more source
Dual decoding generative adversarial networks for infrared image enhancement. [PDF]
Yu Y +5 more
europepmc +1 more source
ABSTRACT Achieving global sustainability requires rethinking marketing beyond firm centred strategies and towards systemic approaches that engage diverse stakeholders in value co‐creation. This paper proposes a conceptual framework for participatory value co‐creation in sustainable market systems, drawing on stakeholder theory, systems thinking ...
Ahmet Küçükuncular
wiley +1 more source
A Deep Learning Approach for Classifying Benign, Malignant, and Borderline Ovarian Tumors Using Convolutional Neural Networks and Generative Adversarial Networks. [PDF]
Giourga M +11 more
europepmc +1 more source
ABSTRACT Strategic citizen engagement is fundamental to the socio‐technical transition toward sustainable urban mobility. This study investigates the integration of digital participatory tools within the transport planning framework of Dublin, Ireland, to facilitate inclusive, transparent, and equitable governance.
Sarbast Moslem, Brian Caulfield
wiley +1 more source

