Results 51 to 60 of about 760,919 (298)
A Topology Optimization Framework for the Inverse Design of Nonlinear Mechanical Metamaterials
Advanced Engineering Materials, EarlyView.This work uses topology optimization to design unit cells for mechanical metamaterials with a prescribed nonlinear stress–strain response. The framework adds contact and postbuckling modeling to synthesize microstructures for three highly nonlinear responses, including pseudoductile behavior, monostable with snap‐through buckling, and bistable ...
Charlie Aveline +2 more
wiley +1 more source
Multi-View Instance Matching with Learned Geometric Soft-Constraints
ISPRS International Journal of Geo-Information, 2020 We present a new approach for matching urban object instances across multiple ground-level images for the ultimate goal of city-scale mapping of objects with high positioning accuracy.
Ahmed Samy Nassar +2 more
doaj +1 more source
Data Science and Management, 2023 Upon the latest reform to the college entrance examination in China (i.e., Gaokao), high schools began implementing an optional class system. Under this scheme, students’ time slots become complex, thereby increasing the difficulty in formulating a ...
Zhe Sun, Qinghua Wu
doaj +1 more source
Automatic frequency assignment for cellular telephones using constraint satisfaction techniques [PDF]
, 1993 We study the problem of automatic frequency assignment for cellular telephone systems. The frequency assignment problem is viewed as the problem to minimize the unsatisfied soft constraints in a constraint satisfaction problem (CSP) over a finite ...
Carlsson, Mats, Grindal, Mats
core +2 more sources
Advanced Functional Materials, EarlyView.An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Soft Constraint Propagation and Solving in Constraint Handling Rules [PDF]
Computational Intelligence, 2004 Soft constraints are a generalization of classical constraints, which allow for the description of preferences rather than strict requirements. In soft constraints, constraints and partial assignments are given preference or importance levels, and constraints are combined according to combinators which express the desired optimization criteria.
S. BISTARELLI +3 more
openaire +4 more sources
A constraint-based approach to noun phrase coreference resolution in German newspaper text [PDF]
, 2006 In this paper, we investigate the usefulness of a wide range of features for their usefulness in the resolution of nominal coreference, both as hard constraints (i.e.
Versley, Yannick
core
Advanced Functional Materials, EarlyView.A programmable interpenetrating double‐network architecture, created via 3D‐TIPS printing and resin infusion, synergistically combines thermoplastic and thermosetting elastomers to balance structural rigidity and surface softness—crucial for paediatric laryngeal stents.
Elizabeth F. Maughan +14 more
wiley +1 more source
MEDICAL STAFF SCHEDULING USING SIMULATED ANNEALING
Kvalita Inovácia Prosperita, 2015 Purpose: The efficiency of medical staff is a fundamental feature of healthcare facilities quality. Therefore the better implementation of their preferences into the scheduling problem might not only rise the work-life balance of doctors and nurses, but ...
Ladislav Rosocha +2 more
doaj +1 more source
Propagating Soft Table Constraints [PDF]
, 2012 WCSP is a framework that has attracted a lot of attention during the last decade. In particular, many filtering approaches have been developed on the concept of equivalence-preserving transformations (cost transfer operations), using the definition of soft local consistencies such as, for example, node consistency, arc consistency, full directional arc
Lecoutre, Christophe +3 more
openaire +2 more sources