Results 171 to 180 of about 219,190 (262)
LATTICE: a governance-first architecture for authorized autonomous AI operations. [PDF]
Calboreanu E.
europepmc +1 more source
Sustainable Production Planning: Insights Into Factors, Models, and Solution Methods
ABSTRACT Effective resource management remains a major challenge for organizations seeking to balance economic efficiency with environmental and social responsibility. In this context, production planning becomes a strategic mechanism for integrating sustainability into industrial operations.
Daysi Ortiz +2 more
wiley +1 more source
Uncertainty aware and explainable construction cost prediction using a hybrid probabilistic learning model. [PDF]
Chen L +7 more
europepmc +1 more source
Recursive Grid Indexing for Fast Non‐Uniform Quantization Without Binary Search
ABSTRACT Purpose To present Recursive Grid Indexing (RGI), a practical software technique for accelerating non‐uniform quantization and predecessor queries without relying on binary search at any stage. Design/Methodology/Approach RGI replaces conventional logarithmic binary search with a recursive, low‐branching grid structure. The method constructs a
Oswaldo Cadenas
wiley +1 more source
Machine learning for chemotherapy decision-making in breast cancer using large language model. [PDF]
Nabi MS +7 more
europepmc +1 more source
Predicting Runtime in Spark‐Like Systems With Allocation‐Aware Deterministic Models
ABSTRACT Objectives Apache Spark is widely used for distributed data processing, but accurately predicting application execution time remains challenging because performance depends on application structure, resource configuration, and executor‐allocation behavior.
Hina Tariq, Olivia Das
wiley +1 more source
Physics-Informed Machine Learning for Carbonation Depth Prediction in Concrete. [PDF]
Abbas MM, Bărbulescu A.
europepmc +1 more source
ABSTRACT Modern engineering faces a ‘complexity crisis’ characterized by interlinked, multidisciplinary ‘wicked problems’, particularly within the defence and aerospace sectors. Although systems thinking is recognized as a critical competency for navigating this environment, empirical quantitative frameworks for its measurement remain limited.
Shimon Fridkin, Sigal Kordova
wiley +1 more source
Bayesian Convolutional Neural Networks for Uncertainty-Aware Classification of Infrasound Events. [PDF]
Yin H +8 more
europepmc +1 more source
An interpretable machine learning framework with SHAP analysis achieves accurate time‐to‐failure prediction for horizontal pressurized tanks under pool fires while identifying fire intensity, filling level, and wall thickness as dominant drivers of model explanation and uncertainty explanation, providing transparent and actionable insights for ...
Yubin Mu +5 more
wiley +1 more source

