Results 151 to 160 of about 424,834 (277)
Optimization of power grid material warehousing and supply chain distribution path planning based on improved PSO algorithm. [PDF]
Ge J +6 more
europepmc +1 more source
Optimization of Warehouse Management in the Specific Assembly and Distribution Company: a Case Study [PDF]
Ondřej Stopka, Vladimír Ľupták
openalex +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren +10 more
wiley +1 more source
Data Warehousing and Data Mining: A Course in MBA and MSIS Program from Uses Perspective
Shamsul Chowdhury, Joseph O. Chan
openalex +2 more sources
Advanced Experiment Design Strategies for Drug Development
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
The Challenge of Handling Structured Missingness in Integrated Data Sources
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson +6 more
wiley +1 more source
Deep learning framework for barcode localization and decoding using simulated UAV imagery. [PDF]
Alsulami F, Jhanjhi NZ.
europepmc +1 more source

