Results 101 to 110 of about 139,579 (291)

A Global Methane Observation System to Reduce Uncertainty for Anthropogenic and Natural Sources and Sinks for Detecting and Attributing Climate Feedbacks

open access: yesAdvanced Science, EarlyView.
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais   +32 more
wiley   +1 more source

Contraction Heuristics for Tensor Decision Diagrams

open access: yesEntropy
In this paper, we study the equivalence problem for quantum circuits: Given two quantum circuits, are they equivalent? We reduce this problem to the contraction problem of a tensor network.
Christian Bøgh Larsen   +3 more
doaj   +1 more source

Heuristic Search of Heuristics

open access: yes, 2023
Angelo Pirrone   +4 more
openaire   +4 more sources

From Folding Mechanics to Robotic Function: A Unified Modeling Framework for Compliant Origami

open access: yesAdvanced Science, EarlyView.
A geometry‐consistent DDG framework captures compliant origami deformation from rigid‐like folding to soft panel bending. By tuning crease and panel stiffness, bistable snap‐through responses transform into smooth monostable deformation, enabling programmable stability and robot‐scale locomotion.
Bohan Zhang   +7 more
wiley   +1 more source

Hybrid Meta-Heuristics for Robust Scheduling [PDF]

open access: yes
The production and delivery of rapidly perishable goods in distributed supply networks involves a number of tightly coupled decision and optimization problems regarding the just-in-time production scheduling and the routing of the delivery vehicles in ...
Dekker, R.   +3 more
core  

Bistable Networks Enable Complex Shape Changes

open access: yesAdvanced Science, EarlyView.
Transition‐controlled metamaterials are networks of bistable mechanical memory that store local binary states and express them as global shape change. By decoupling low‐force programming from high‐force holding, a single lattice is reconfigured into distinct 2D profiles and 3D surfaces without continuous actuation, enabling reusable morphing materials ...
Sawyer Thomas, Jeffrey Lipton
wiley   +1 more source

Evolving usability heuristics for visualising Augmented Reality/Mixed Reality applications using cognitive model of information processing and fuzzy analytical hierarchy process

open access: yesCognitive Computation and Systems
The pace of technological advancement is accelerating, and one of the latest developments is the emergence of Augmented Reality (AR) and Mixed Reality (MR) glasses as an extension of smartphones.
T. V. Sumithra   +3 more
doaj   +1 more source

CoSP: Reconfigurable Metamaterial Inverse Design via Contrastive Pretrained Large Language Model

open access: yesAdvanced Science, EarlyView.
In this work, CoSP (contrastive multi‐state pretrain), an intelligent inverse design method for reconfigurable metamaterials based on a contrastive pretrained large language model, is proposed. Numerical experiments demonstrate that CoSP can design reconfigurable metamaterial structures for multi‐state, multi‐band optical responses, showing great ...
Shujie Yang   +4 more
wiley   +1 more source

Heuristics for the Order-Picking Problem With Sequence-Dependent Constraints and a One-Directional Conveyor

open access: yesIEEE Access
Optimizing the logistic order-picking process in the distribution center depends on two closely related decisions: how to schedule the processing of orders by a limited number of employees and how to sequence the containers on the conveyor to be ...
Kateryna Czerniachowska, Marcin Hernes
doaj   +1 more source

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi   +7 more
wiley   +1 more source

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