Results 151 to 160 of about 30,621 (198)
An objective Bayesian method for including parameter uncertainty in ensemble model output statistics
Conventional model output statistics and ensemble model output statistics methods for calibrating ensemble forecasts lead to severe underestimation of the probabilities of ensemble extremes (in blue). This is because they ignore statistical parameter uncertainty.
Stephen Jewson +4 more
wiley +1 more source
TAGINE: fast taxonomy-based feature engineering for microbiome analysis. [PDF]
Baum S +4 more
europepmc +1 more source
End‐to‐End Portfolio Optimization with Hybrid Quantum Annealing
This works presents a hybrid quantum‐classical framework for portfolio optimization that combines quantum assisted asset selection and rebalancing with classical weight allocation. The approach processes real market data, embeds it into Quadratic Unconstrained Binary Optimization formulations, and evaluates performance within a unified workflow ...
Sai Nandan Morapakula +5 more
wiley +1 more source
Real-Time Stream Data Anonymization via Dynamic Reconfiguration with <i>l</i>-Diversity-Enhanced SUHDSA. [PDF]
Lee J, Kim S.
europepmc +1 more source
Mimic Grasping: A Modular and Flexible Programming‐by‐Demonstration Robotic Grasping Solution
ABSTRACT The Industry 5.0 concept guides the industry to the premise of sustainability, resilience and human‐centric solutions. The last related pillar tries to create solutions to empower the people in production line processes since solutions should be designed to be easy to use and easy to learn without discarding the working people. In this regard,
João P. C. de Souza +3 more
wiley +1 more source
Accelerating minimap2 for whole-genome alignment. [PDF]
Chandra G +3 more
europepmc +1 more source
Virtualization as a New Scaling Law for Semiconductor Devices Beyond Geometric Scaling
AI‐enabled semiconductor scaling law. Virtualization emerges as an AI‐enabled scaling law for semiconductors, where progress depends on replacing physical iteration with credible virtual evidence. Surrogate modeling accelerates design‐space exploration, digital twins virtualize process learning, and defect‐to‐reliability inference advances ...
Zeheng Wang +8 more
wiley +1 more source
PLAID: ultrafast single-sample gene set enrichment scoring. [PDF]
Zito A +5 more
europepmc +1 more source
Fragment‐Block: A Novel Approach for Managing Variability in Software Product Lines
ABSTRACT Objective Changes in the functionality of a software product line (SPL) can generate various issues in the SPL source code. Their complexity depends primarily on the amount of changes in the SPL source code and the internal mechanisms for managing variability. Further, modern development frameworks rely on a variety of artefacts besides source
Junior Cupe Casquina, Leonardo Montecchi
wiley +1 more source

