Spatial distribution of acoustic traits in bird assemblages along regional bioclimatic gradients
Environmental variation shapes acoustic interactions among birds, creating spatial structures in the sonic signature of local species assemblages. Exploring these patterns at regional scales can reveal processes that segregate acoustic strategies along environmental gradients.
Michela Busana +11 more
wiley +1 more source
Weighted Sum-Rate Maximization and Task Completion Time Minimization for Multi-Tag MIMO Symbiotic Radio Networks. [PDF]
Suo L, Wang D, Zhou W, Peng X.
europepmc +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
An integrated TOPSIS and ARAS method multi-criteria decision-making approach for optimizing investment portfolios using goal programming and genetic algorithm model. [PDF]
Pisal P +6 more
europepmc +1 more source
Nonlinear Response‐History Analyses of Masonry and Mixed Structures With HybriDFEM
ABSTRACT The hybrid discrete‐finite element (HybriDFEM) method, previously developed to perform static and modal analysis in discrete and coupled discrete‐finite element models, is extended to nonlinear response‐history analyses. The equations of motion for the HybriDFEM model are solved through various numerical time‐integration schemes, both explicit
Igor Bouckaert +2 more
wiley +1 more source
Enhanced significant wave height prediction in the Southern Ocean using an ANFIS model optimized with subtractive clustering. [PDF]
Hakimi A, Farjami H.
europepmc +1 more source
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini +2 more
wiley +1 more source
A Systematic Intelligent Optimization Framework for a Sustained-Release Formulation Design. [PDF]
Qiao Y +9 more
europepmc +1 more source
ABSTRACT Under the background of Global Climate Governance and “double carbon” goals, power industry agglomeration is an important path to promote the development of energy industry, and its mechanism and impact effect need to be further explored.
Tanbo Zhu, Wei Bu
wiley +1 more source
Measurement-Based Optimization of a Lightweight Upper-Extremity Rehabilitation Exoskeleton for Task-Oriented Treatment. [PDF]
Falkowski P +8 more
europepmc +1 more source

