Incremental refinement of relevance rankings: Balancing relevance depth and scope
Journal of the Association for Information Science and Technology, Volume 77, Issue 10, Page 1247-1270, October 2026.Abstract Delivering both relevant and topically diverse results is a key challenge in information retrieval (IR). This study introduces a hybrid method that incrementally refines rankings by combining probabilistic topic modeling (latent dirichlet allocation [LDA]) with citation‐based pennant retrieval grounded in Relevance Theory (RT), optimizing for ...
Müge Akbulut, Yaşar Tonta
wiley +1 more source
Analyzing rescaling, discretization, and linearization in RNNs for neural system modeling. [PDF]
Front Comput NeurosciCaruso M, Jarne C.
europepmc +1 more source
A Critical Analysis of Optimization Algorithms for Cultural Heritage Conservation and Management
Engineering Reports, Volume 8, Issue 10, October 2026.Methodological framework and decision‐support roadmap for optimization algorithms in cultural heritage conservation and management. ABSTRACT Heritage buildings symbolize cultural identity, architectural character, and historical epitome of communities.
Eslam Mohammed Abdelkader +6 more
wiley +1 more source
An Efficient Gradient-Free Topology Optimization Method Based on Superellipse Curves and a Multilayer Perceptron Surrogate. [PDF]
Micromachines (Basel)Jin F, Liu Y.
europepmc +1 more source
Proteins: Structure, Function, and Bioinformatics, Volume 94, Issue 10, Page 1671-1685, October 2026.ABSTRACT The GTPase KRAS executes a conformational switch between a GTP‐bound active state and a GDP‐bound inactive state, a process central to oncogenic signaling. However, the structural basis of this switching at the level of residue‐contact organization remains incompletely characterized by traditional binary structural models.
Fatma Senguler Ciftci, Burak Erman
wiley +1 more source
A Novel Algebraic Saturation-Based PID Controller Optimized by Animated Oat Algorithm for Ultra-Fast Dynamic Response of Automatic Voltage Regulation. [PDF]
Biomimetics (Basel)Türksoy Ö.
europepmc +1 more source
Large Covariance Matrix Estimation by Penalized Log‐Det Heuristics
Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 5, October 2026.ABSTRACT We study covariance estimation in high‐dimensional approximate factor models with a sparse residual covariance. The estimator combines a log‐det loss with nuclear‐norm and off‐diagonal ℓ1$$ {\mathrm{\ell}}_1 $$ penalties on a sample‐normalized covariance scale.
Enrico Bernardi, Matteo Farnè
wiley +1 more source
Reduced Order Modeling for Tsunami Forecasting With Bayesian Hierarchical Pooling
Journal of Advances in Modeling Earth Systems, Volume 18, Issue 10, October 2026.Abstract Reduced‐order models (ROMs) can represent spatiotemporal processes in significantly fewer dimensions and can often be solved many orders of magnitude faster than their governing partial differential equations (PDEs). For example, proper orthogonal decomposition yields a ROM in which the state is represented as a low‐dimensional linear ...
Shane X. Coffing +3 more
wiley +1 more source
Algebraic evaluation of optimization in tumors classification with numerical assessments via a flask-react web interface. [PDF]
Front Digit HealthHoussa N, Abdelalim S, Elmouki I.
europepmc +1 more source
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.Abstract As wildfire severity increases, predicting wildfire spread is important for fire and landscape management. However, wildfire spread is a complex phenomenon that is challenging to capture because it depends on many factors, such as wind speed, slope, landscape topography, and fuel properties. Machine Learning (ML) models are powerful tools that
J. Z. Ho +12 more
wiley +1 more source