Results 51 to 60 of about 9,222 (301)
Robotic Needle Steering for Percutaneous Interventions: Sensing, Modeling, and Control
This review examines recent advances in robotic needle steering for percutaneous interventions, highlighting closed‐loop sensing, physics‐informed tissue‐needle interaction modeling, and real‐time trajectory planning and control. It synthesizes innovations in deep learning, fiber‐optic feedback, and adaptive control strategies, and outlines emerging ...
Fangjiao Zhao +5 more
wiley +1 more source
The emergence of DNA Microarray technology has enabled researchers to analyze the expression level of thousands of genes simultaneously. The Microarray data analysis is the process of finding the most informative genes as well as remove redundant and ...
Nada Almugren, Hala Alshamlan
doaj +1 more source
A projection and density estimation method for knowledge discovery. [PDF]
A key ingredient to modern data analysis is probability density estimation. However, it is well known that the curse of dimensionality prevents a proper estimation of densities in high dimensions.
Adam Stanski, Olaf Hellwich
doaj +1 more source
ABSTRACT This study explores youth violence towards police officers in Australia through the Power Threat Meaning Framework (PTMF) to better understand the underlying factors contributing to such violence; focusing on power dynamics, childhood adversity, and trauma.
Dimitra Lattas +4 more
wiley +1 more source
Laser‐induced breakdown spectroscopy (LIBS), an atomic emission technique, is widely applied in fields like geology and biology. This rapid elemental analysis method leverages computational tools to boost precision and speed up data processing. This review explores machine learning and deep learning methods for analyzing LIBS spectral data, tackling ...
Pegah Dehbozorgi +3 more
wiley +1 more source
Efficient Dynamics: Reduced‐Order Modeling of the Time‐Dependent Schrödinger Equation
Reduced‐order modeling (ROM) approaches for the time‐dependent Schrödinger equation are investigated, highlighting their ability to simulate quantum dynamics efficiently. Proper Orthogonal Decomposition, Dynamic Mode Decomposition, and Reduced Basis Methods are compared across canonical systems and extended to higher dimensions.
Kolade M. Owolabi
wiley +1 more source
A proof that rectified deep neural networks overcome the curse of dimensionality in the numerical approximation of semilinear heat equations [PDF]
Martin Hutzenthaler +7 more
openalex +3 more sources
ABSTRACT Effective knowledge of ecological connectivity at sea and at the land–sea interface is key to supporting global policy goals to conserve and restore ocean biodiversity and function. However, a persistent lack of commonality in terminology and understanding around the concept of connectivity in marine ecological studies hampers its integration ...
Audrey M. Darnaude +20 more
wiley +1 more source
Counting polycubes without the dimensionality curse
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aleksandrowicz, Gadi, Barequet, Gill
openaire +1 more source
Renal Arterial Anatomy: Implications for Normothermic Machine Perfusion in Renal Transplantation
ABSTRACT Normothermic machine perfusion (NMP) is a novel technology that has shown potential in viability assessment and reconditioning of donor organs. Normothermic machine perfusion is technically more challenging in kidneys with multiple renal arteries (RAs).
Lily Mae Miller +3 more
wiley +1 more source

