Results 251 to 260 of about 39,370 (305)

Classifier-driven generative adversarial networks for enhanced antimicrobial peptide design. [PDF]

Brief Bioinform
Zervou MA, Doutsi E, Pantazis Y, Tsakalides P.   +3 more
europepmc   +1 more source

Why do we burn? Examining arguments underpinning the use of prescribed burning to manage wildfire risk

People and Nature, EarlyView.
Abstract Managing wildfire risk requires consideration of complex and uncertain scientific evidence as well as trade‐offs between different values and goals. Conflicting perspectives on what values and goals are most important, what ought to be done and what trade‐offs are acceptable complicate those decisions.
Pele J. Cannon, Sarah Clement
wiley   +1 more source

Auxiliary Discrminator Sequence Generative Adversarial Networks for Few Sample Molecule Generation. [PDF]

J Chem Inf Model
Tang H, Long J, Ji B, Wang J.
europepmc   +1 more source

The transformative potential of artificial intelligence in pediatric medicine: Current applications, methodological challenges, and future directions

Pediatric Investigation, EarlyView.
Artificial intelligence (AI) offers transformative potential for paediatric diagnosis and treatment, yet implementation faces unique challenges, including data scarcity, algorithmic bias, and children's developmental physiology. This review examines current applications and charts a path toward transparent, equitable, and trustworthy AI in child health.
Ruisong Wang, Xiaoman Ding, Wanyue Zhang, Tieliu Shi   +3 more
wiley   +1 more source

Enhanced classification prostate cancer based on generative adversarial networks and integrated deep learning with vision transformer models. [PDF]

Sci Rep
Salama WM, Aly MH.
europepmc   +1 more source

Advancing a National Dialogue on Disability in Catholic Education

Psychology in the Schools, EarlyView.
ABSTRACT This qualitative descriptive study examined perspectives from 85 participants at the National Convening on Disability and Catholic Education, a 3‐day gathering of Catholic school leaders, educators, and advocates. Using reflexive thematic analysis of structured roundtable dialogues, the study identified psychological and organizational factors
Michael J. Boyle
wiley   +1 more source

Dual decoding generative adversarial networks for infrared image enhancement. [PDF]

Sci Rep
Yu Y, Jiang L, Hu Q, Cai Q, Zeng Q, Sun X.   +5 more
europepmc   +1 more source

Statistical post‐processing of operational dual‐resolution wind‐speed ensemble forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The performance of raw and post‐processed 50‐member medium‐ and 100‐member extended‐range 10‐m wind‐speed forecasts of the European Centre for Medium‐Range Weather Forecasts and their various dual‐resolution combinations is investigated. Results show that post‐processing improves skill and reduces the differences between the various configurations ...
Sándor Baran, Mária Lakatos
wiley   +1 more source

Backdoor Training Paradigm in Generative Adversarial Networks. [PDF]

Entropy (Basel)
Wang H, Cheng F.
europepmc   +1 more source

Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño, Alejandro Palacio‐Betancur, Piedad Miranda‐Chiquito, Juan David Amaya, Christian E. Silva, Mariantonieta Gutierrez Soto, Luis Felipe Giraldo   +6 more
wiley   +1 more source