Results 131 to 140 of about 13,362,899 (320)

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, Tatsuya Amano, Thomas Bregnballe, Alejandro Corregidor‐Castro, Roxane Francis, Diego Gallego‐García, Jarrod C. Hodgson, Landon R. Jones, César R. Luque‐Fernández, Dominik Marchowski, John McEvoy, Ann E. McKellar, W. Chris Oosthuizen, Christian Pfeifer, Martin Renner, José Hernán Sarasola, Mateo Sokač, Roberto Valle, Adam Zbyryt, Richard A. Fuller   +19 more
wiley   +1 more source

On an Aggregation Theory for Indicators Expressing Behaviors of Complex Systems With an Application to Sustainability

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, Yannis A. Phillis   +1 more
wiley   +1 more source

Algebras of binary formulas for ℵ0-categorical weakly circularly minimal theories: monotonic case

Қарағанды университетінің хабаршысы. Математика сериясы
This article concerns the notion of weak circular minimality being a variant of o-minimality for circularly ordered structures. Algebras of binary isolating formulas are studied for countably categorical weakly circularly minimal theories of convexity ...
B.Sh. Kulpeshov, S.V. Sudoplatov
doaj   +1 more source

Methodological Frameworks for Computational Electrocatalysis: From Theory to Practice

Small Methods, EarlyView.
Computational modeling is widely used to investigate electrocatalytic reactions, yet accurately describing electrochemical interfaces remains challenging. This review outlines theoretical and computational strategies, based on density functional theory, to model reaction thermodynamics, solvation effects, applied bias, and kinetics.
Michele Re Fiorentin, Michele G. Bianchi, Magnus A. H. Christiansen, Anna Ciotti, Francesca Risplendi, Wei Wang, Elvar Ö. Jónsson, Hannes Jónsson, Giancarlo Cicero   +8 more
wiley   +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

Preservice Teachers' Professional Development for Implementing Differentiated Instruction in Science Education: An Embedded Case Study

Journal of Research in Science Teaching, EarlyView.
ABSTRACT The current study explored how a professional development program for differentiated instruction in science education supported change in preservice teachers, following the Interconnected Model of Professional Growth by Clarke and Hollingsworth. Among eight preservice teachers, a self‐report questionnaire (pre and post) and reflective logbooks
Tessa Slim, Johanna E. van Schaik, Anna C. G. Hotze, Maartje E. J. Raijmakers   +3 more
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, Jian Yang, Bob Zhang, Yang Tang, Wenli Du, Bihan Wen   +5 more
wiley   +1 more source

Optimising Wave Energy Plant Location Through Neutrosophic Multi‐Criteria Group Decision‐Making

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The global shift towards sustainable energy has intensified research into renewable sources, particularly wave energy. Pakistan, with its long coastline, holds significant potential for wave energy development. However, identifying optimal locations for wave energy plants involves evaluating complex, multi‐faceted criteria.
Hafiz Muhammad Athar Farid, Ayesha Razzaq, Muhammad Riaz, Tapan Senapati, Sarbast Moslem   +4 more
wiley   +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

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, Chuang Liu, Yang Chen, Zi‐Ke Zhang, Xiaoyang Liu, Xiu‐Xiu Zhan   +5 more
wiley   +1 more source