Results 181 to 190 of about 15,438 (311)

Consistency and the quantified constraint satisfaction problem

, 2009
Constraint satisfaction is a very well studied and fundamental artificial intelligence technique. Various forms of knowledge can be represented with constraints, and reasoning techniques from disparate fields can be encapsulated within constraint ...
Nightingale, Peter
core  

Geometry‐Controlled Assembly of Self‐Standing Nanorods With Undisturbed Plasmonics

Advanced Science, EarlyView.
This study reports a geometry‐driven assembly strategy to vertically align Au@Ag core–shell nanorods on PS beads. This well‐defined architecture enables the preservation of the intrinsic optical response of individual nanorods. Thus, demonstrate a highly reproducible SERS enhancement with exceptional uniformity.
Yoel Negrin‐Montecelo, I. Brian Becerril‐Castro, Vladimir A. Baulin, Veronica Salgueiriño, Ramon A. Alvarez‐Puebla, Miguel A. Correa‐Duarte   +5 more
wiley   +1 more source

Output Feedback Adaptive Tracking Control for Uncertain Strict-Feedback Nonlinear Systems with Full-State Constraints and Unknown Output Gain. [PDF]

Sensors (Basel)
Wang Z, Hashimoto S, Nie P, Xu S, Kawaguchi T.   +4 more
europepmc   +1 more source

Consistency and the Quantified Constraint Satisfaction Problem

, 2007
Constraint satisfaction is a very well studied and fundamental artificial intelligence technique. Various forms of knowledge can be represented with constraints, and reasoning techniques from disparate fields can be encapsulated within constraint ...
Nightingale, Peter William, Gent, Ian P
core  

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source

Nutrient-Aware Personalized Meal Recommendation Using Structured Food Knowledge and Constraint Verification. [PDF]

Foods
Fu Y, Cai L, Wu R, Kang Y, Zhao Y.
europepmc   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

Advanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

Data-Driven Chance Constrained Mixed Integer Nonlinear Bilevel Optimization via Copulas. [PDF]

Ind Eng Chem Res
Johnn SN, Nikkhah H, Tsai ML, Avraamidou S, Beykal B, Charitopoulos VM.   +5 more
europepmc   +1 more source

Single‐Cell Annotation and Localization via Integrating Spatial Transcriptomics Maps the Mouse Ocular Atlas and RAO Dynamics

Advanced Science, EarlyView.
We developed the ASCAL pipeline, integrating complementary spatial transcriptomics, to construct a high‐fidelity mouse whole‐eye single‐cell atlas. Applying ASCAL to a retinal artery occlusion (RAO) model revealed spatially restricted immune activation localized to the ganglion cell layer and the selective depletion of a translationally active, outer ...
Chen Du, Yinming Li, Ziyue Li, Yuedan Wang, Shaopeng Li, Yijie Wang, Yingying Qu, Bingyang Lv, Ying Li, Ting Chen, Yu Zhou, Xuan Xiao   +11 more
wiley   +1 more source

Research on railway emergency resource scheduling strategy under multiple uncertainty coupling. [PDF]

PLoS One
Sun J, Wan Y, Lu G, Tang Z.
europepmc   +1 more source