Results 201 to 210 of about 2,162,787 (303)

Blind Source Separation via Time‐Frequency Localization on Sound Spectrogram for Environmental Sound Source Attribution

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT As urban sound environments grow more complex, environmental monitoring increasingly demands not just sound‐level measurement but also source attribution. Current source recognition techniques can identify which sources are present in a mixture, but cannot measure each source's energy contribution, making accountability impossible.
Rui Hu, Zhihao Wu, Yuxin Lin, Yong Xu
wiley   +1 more source

From analytical to data‐driven: multi‐method optimization of a bendable mirror system for dynamic focusing

Journal of Synchrotron Radiation, EarlyView.
A small‐radius‐of‐curvature bendable mirror system is developed for dynamic focusing in X‐ray free‐electron laser and synchrotron radiation beamlines, and a transfer‐learning neural‐network and differential‐evolution framework is used for force‐to‐shape modeling and inverse optimization.
Baoning Sun, Zhixiang Wen, Qinghao Zhu, Jun Luo, Tairong Xu, Lingfeng Zhu, Yaxiang Liang, Jitao Sun, Zhuo Li, Shun Xia, Zhongmin Xu, Meiyi Wu, Qinming Li, Weiqing Zhang, Xueming Yang   +14 more
wiley   +1 more source

Longevity and Growth of the Crabs Callinectes sapidus and Callinectes rathbunae (Decapoda: Portunidae) in Paraíso Tabasco Mexico

Acta Zoologica, EarlyView.
ABSTRACT Individual growth models are important in fisheries of natural populations and can be incorporated in production models to estimate their maximum sustainable yield. Blue crab species, Callinectes sapidus and Callinectes rathbunae were obtained in the Mecoacán lagoon, Paraíso, Tabasco Mexico by “nasa” and “yahual” nets. Biometric values such as
Candelario Jiménez‐Olivares, Sergio Cházaro‐Olvera, Fernando Álvarez‐Noguera, Mixtli Crisóstomo‐Pérez, Verónica Mitsui Saito‐Quezada, Isaías Hazarmabeth Salgado‐Ugarte   +5 more
wiley   +1 more source

Calibrating Bayesian inference

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Bayesian statistics has gained popularity in psychological research due to its intuitive uncertainty quantification and convenient information‐updating rules. In many applications, however, prior distributions are introduced merely as instruments to facilitate computation, rather than as representations of genuine subjective belief ...
Yang Liu, Jonathan P. Williams, Jan Hannig   +2 more
wiley   +1 more source

Analytical and numerical investigations, data-driven modeling via an analytical-machine learning approach, and chaotic analysis of a nonlinear fractional soliton neuron model. [PDF]

Sci Prog
Amin MR, Akter R, Helal KM, Ullah MS.
europepmc   +1 more source

Differentiable Randers‐Finsler Eikonal Solvers

Computer Graphics Forum, EarlyView.
Abstract Fast and differentiable solvers for anisotropic and asymmetric distance fields are a key primitive in geometry processing, enabling gradient‐based optimization over metrics, drift fields, and downstream objectives that depend on geodesic distances and geodesics.
Barak Gahtan, Jacob Shpund, Alex M. Bronstein   +2 more
wiley   +1 more source

Periodic structures of solitons and shock wave solutions in the fractional nonlinear Shynaray-IIA equation via a generalized analytical method. [PDF]

Sci Rep
Iqbal M, Khan MI, Alrashdi HD, Algethamie R, Alomari FAH, Aljohani A, Mohammad N, Aljawi S.   +7 more
europepmc   +1 more source

A Splitting Architecture for Exact Reduced Coulomb Friction

Computer Graphics Forum, EarlyView.
Abstract Existing approaches to frictional contact dynamics typically either modify the Coulomb law to improve numerical robustness or solve the exact law in a fully coupled monolithic form. However, in its reduced form, exact Coulomb friction can be written as a cone complementarity problem with an augmented velocity, which reveals a natural split ...
Hongcheng Song, Ye Fan, Uri M. Ascher, Dinesh K. Pai   +3 more
wiley   +1 more source

Constructing optical soliton wave structure and modulation instability analysis for coupled fractional Lakshmanan-Porsezian-Daniel equation with Kerr's law nonlinearity. [PDF]

Sci Rep
Aghazadeh A, Lakestani M.
europepmc   +1 more source

The application of machine learning models to optimal TSP tour length estimation

International Transactions in Operational Research, EarlyView.
Abstract The traveling salesman problem (TSP) is a well‐known NP‐hard problem in combinatorial optimization, with numerous applications in logistics and elsewhere. This paper introduces a machine learning‐based approach to estimate the optimal tour length of the TSP, using linear regression, random forests (RF), and neural networks, including ...
Shuhan Kou, Bruce Golden, Luca Bertazzi
wiley   +1 more source