Results 51 to 60 of about 32,051 (265)

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Optimizing existential datalog queries [PDF]

, 1988
Raghu Ramakrishnan, Catriel Beeri, Ravi Krishnamurthy   +2 more
openalex   +1 more source

3D In Vitro Models of Breast Cancer: Current Challenges and Future Prospects Toward Recapitulating the Microenvironment and Mimicking Key Processes

Advanced Biology, EarlyView.
In vitro cancer models are advantageous for studying important processes such as tumorigenesis, cancer growth, invasion, and metastasis. The complexity and biological relevance increase depending on the model structure, organization, and composition of materials and cells.
Kyndra S. Higgins, Ah Joung Yu, Cheryl T. Gomillion   +2 more
wiley   +1 more source

On compile-time query optimization in deductive databases by means of static filtering [PDF]

, 1990
Michael Kifer, Eliezer L. Lozinskii
openalex   +1 more source

Optimized Cell‐Based Platform for Platelet‐Free Detection of Heparin‐Induced Thrombocytopenia Antibodies

Advanced Biology, EarlyView.
This study optimized a cell‐based ELISA for HIT antibody detection using PF4‐coated breast cancer cells (MDA‐MB‐231). Enhanced binding was observed at 50 mM NaCl and 4% paraformaldehyde fixation. Live MDA‐MB‐231 and HCT‐116 cells demontrated superior sensitivity and specificity, providing a promising platelet‐free alternative for clinical HIT diagnosis.
Li‐Yu Chen, Uwe Schirmer, Peter F. Zipfel, Doris Heinrich, Thi‐Huong Nguyen   +4 more
wiley   +1 more source

Logic-based approach to semantic query optimization [PDF]

, 1990
Upen S. Chakravarthy, John Grant, Jack Minker   +2 more
openalex   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

Rule-based optimization and query processing in an extensible geometric database system [PDF]

, 1992
Ludger Becker, Ralf Hartmut Güting
openalex   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

Advanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Using statistical sampling for query optimization in heterogeneous library information systems [PDF]

, 1993
Gregory D. Speegle, Michael J. Donahoo
openalex   +1 more source