Results 91 to 100 of about 3,363 (257)
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
Advanced Intelligent Discovery, EarlyView.The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Hyperspectral Image Denoising via
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingThis article studies the mixed noise removal problem for hyperspectral images (HSIs), which often suffer from Gaussian noise and sparse noise. Conventional denoising models mainly employ the $L_{1}$-norm-based regularizers to remove sparse noise and ...
Xin Tian, Kun Xie, Hanling Zhang
doaj +1 more source
Journal of Statistical Software, 2018 rTensor is an R package designed to provide a common set of operations and decompositions for multidimensional arrays (tensors). We provide an S4 class that wraps around the base 'array' class and overloads familiar operations to users of 'array', and we
James Li, Jacob Bien, Martin T. Wells
doaj +1 more source
Magnetoencephalography for epileptic focus localization based on Tucker decomposition with ripple window. [PDF]
CNS Neurosci Ther, 2021 Shi LJ +5 more
europepmc +1 more source
Prediction‐Guided Two‐Step Solid‐State Exploration of Unknown Pseudo‐Ternary Oxides
Advanced Intelligent Discovery, EarlyView.Prediction‐guided selection combined with two‐step solid‐state exploration enables efficient search of unknown pseudo‐ternary oxides. Broad robotic slurry screening followed by manual single‐phase isolation leads to the discovery of a new oxide, Ba5SnV6O22, showing how data‐guided experiments connect unexplored composition regions to new materials ...
Hiroyuki Hayashi
wiley +1 more source
Compression of volume-surface integral equation matrices via Tucker decomposition for magnetic resonance applications. [PDF]
IEEE Trans Antennas Propag, 2022 Giannakopoulos II +6 more
europepmc +1 more source
AI &Innovation, EarlyView.ABSTRACT The rapid advancement of large language model (LLM) technology is profoundly transforming the practice of social science research. Scholarly discussions on Artificial Intelligence (AI)'s role in social science research can be organised into three levels: AI as a research tool, AI as a methodological infrastructure and AI as a quasi‐cognitive ...
Jie Xiong
wiley +1 more source
American Journal of Agricultural Economics, EarlyView.Abstract This paper derives a firm‐level threshold, the Herfindahl Neutral Point, from the standard concentration index used in merger review. At this threshold, a marginal expansion leaves the index unchanged. Firms below the threshold reduce concentration when they expand; firms above it increase concentration.
Andrew J. Keller, Krishna P. Paudel
wiley +1 more source
Adaptive Subspace Modeling With Functional Tucker Decomposition
CoRR18 pages, 12 ...
Steidle, Noah Maximilian +2 more
openaire +3 more sources
Porcine kidney xenotransplantation: From primate models to clinical reality
Animal Models and Experimental Medicine, EarlyView.In the face of a critical shortage of human donor kidneys for end‐stage renal disease patients, porcine kidney xenotransplantation has emerged as a viable solution. This field has navigated major hurdles, including immune rejection, physiological incompatibilities, potential biomechanical differences and the risk of cross‐species infection. To overcome
Zihang Guo +3 more
wiley +1 more source