Results 111 to 120 of about 32,516 (266)
Big Bird: A global dataset of birds in drone imagery annotated to species level
Remote Sensing in Ecology and Conservation, EarlyView.Drones are a valuable tool for surveying birds, but manually detecting and identifying birds in drone images is costly. We assembled a diverse dataset of 23 865 images of birds captured with 21 different drones across 11 countries. We labelled 4824 of these images, detailing the location, species, posture category, age category, and sex of 49 990 birds
Joshua P. Wilson +19 more
wiley +1 more source
Sustainable Development, EarlyView.ABSTRACT Certain attributes of large‐scale complex systems are often expressed through sets of indicators. For example, the sustainability of an entity, be it a nation, a city, an energy system, a corporation etc., can be effectively represented by indicators and corresponding data series.
Vassilis S. Kouikoglou +1 more
wiley +1 more source
Sketch 'n Solve: An Efficient Python Package for Large-Scale Least Squares Using Randomized Numerical Linear Algebra [PDF]
Alex Lavaee
openalex +1 more source
Assessing Capability Complexity Using Enterprise Architecture Framework
Systems Engineering, EarlyView.ABSTRACT This study proposes a structured and quantitative methodology to evaluate the holistic complexity of system‐of‐systems (SoSs), employing the Zachman Architecture Framework (ZAF) as its foundational analytical tool. A five‐phase analytical procedure is developed and empirically validated, encompassing: (1) refinement of complexity measures, (2)
Javad Bakhshi, Mahmoud Efatmaneshnik
wiley +1 more source
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
CAAI Transactions on Intelligence Technology, EarlyView.Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang +5 more
wiley +1 more source
A linear algebra perspective on the random multi-block ADMM: the QP case [PDF]
, 2023 Stefano Cipolla, Jacek Gondzio
openalex +1 more source
Distributed Formation Control for Heterogeneous Robot Systems Based on Competitive Mechanism
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT This paper presents an adaptive formation control method for a heterogeneous robot swarm, utilising a multilevel formation task tree to model various types of formation tasks and a single‐state distributed k‐winner‐take‐all (S‐DKWTA) algorithm to address the MRTA problem.
Zhenghui Cui, Xiaoyi Gu, Ning Tan
wiley +1 more source
Elliptic PDE learning is provably data-efficient. [PDF]
Proc Natl Acad Sci U S A, 2023 Boullé N, Halikias D, Townsend A.
europepmc +1 more source
A Universal Meta‐Heuristic Framework for Influence Maximisation in Hypergraphs
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Influence maximisation (IM) aims to select a small number of nodes that are able to maximise their influence in a network and covers a wide range of applications. Despite numerous attempts to provide effective solutions in simple networks, higher‐order interactions between entities in various real‐world systems are usually not taken into ...
Ming Xie +5 more
wiley +1 more source