Results 81 to 90 of about 10,122 (193)
This systematic review maps 50 years of regression methodology, tracing its evolution from ridge stabilization and penalized estimation to Bayesian, ensemble, and explainable‐AI frameworks. The analysis reveals a unified progression toward interpretable, cross‐domain modeling that integrates statistical rigor, computational scalability, and epistemic ...
Michael Bendersky, Shimon Fridkin
wiley +1 more source
Kidney Tumor Segmentation With a Multistage Adaptive Boundary‐Aware Network
This study introduces MABS‐Net, a multistage adaptive boundary‐aware network for kidney tumor segmentation. By integrating boundary‐aware multiscale feature extraction, a three‐stage cascaded architecture, and contrastive learning with online hard example mining, this model effectively captures subtle edge cues and boosts tissue discrimination.
Ruoyu Wu, Jing Shi, Jitao Zhou
wiley +1 more source
Self-Learning Fuzzy Spiking Neural Network as a Nonlinear Pulse-Position Threshold Detection Dynamic System Based on Second-Order Critically Damped Response Units [PDF]
Architecture and learning algorithm of self-learning spiking neural network in fuzzy clustering task are outlined. Fuzzy receptive neurons for pulse-position transformation of input data are considered.
Bodyanskiy, Yevgeniy +2 more
core
Bioinspired slippery surfaces combining the hydrophobic–hydrophilic patterns of beetle backs and the lubricated structure of pitcher plants enable efficient water harvesting. The patterned hydrophilic regions promote droplet nucleation and coalescence, while the infused lubricant ensures rapid droplet transport, providing a robust strategy for ...
Wei Huang +7 more
wiley +1 more source
Ultrasound contrast agents, including microbubbles and nanobubbles, transform imaging and targeted therapy through precise engineering of size, shell composition, and surface properties. This review explores how these innovations enable tissue‐specific delivery, enhance therapeutic efficacy, and extend applications from vascular imaging to tumor ...
Ashkan Seza +2 more
wiley +1 more source
Solution of fuzzy singular integral equation with Abel’s type kernel using a novel hybrid method
In this paper, we are applying a novel analytical hybrid method to find the solution of a fuzzy Volterra Abel’s integral equation of the second kind. The fuzzy number is used in its parametric form under which the fuzzy Volterra Abel’s integral equation ...
S. Bushnaq, Z. Ullah, A. Ullah, K. Shah
doaj +1 more source
A Novel Approach to Face Recognition using Image Segmentation based on SPCA-KNN Method [PDF]
In this paper we propose a novel method for face recognition using hybrid SPCA-KNN (SIFT-PCA-KNN) approach. The proposed method consists of three parts.
Benco, M. +5 more
core +1 more source
D-branes Wrapped on Fuzzy del Pezzo Surfaces
We construct classical solutions in quiver gauge theories on D0-branes probing toric del Pezzo singularities in Calabi-Yau manifolds. Our solutions represent D4-branes wrapped around fuzzy del Pezzo surfaces.
A Butti +49 more
core +1 more source
Advanced virtual impedance control integrating multiple second‐order generalized integrator (SOGI) variants—SOGI, ESOGI, MSOGI, and DSOGI—enhances power and harmonic sharing accuracy in islanded microgrids. The comparative study quantifies performance–complexity trade‐offs, demonstrating up to 65% total harmonic distortion (THD) reduction and improved ...
Camelia Ait Hammouda +3 more
wiley +1 more source
In this work, the susceptible-infectious-removed (SIR) dynamics are considered in relation to the effects on the health system. With the help of the Caputo derivative fractional-order method, the SIR epidemic model for childhood diseases is designed ...
Suganya Subramanian +5 more
doaj +1 more source

