Results 101 to 110 of about 100,154 (263)
IoT CHALLENGES & EVOLUTION [PDF]
Annals: Series on Military Sciences, 2018 As a result of rapid social changes, the fundamental human right to information is increasingly linked more closely to the right of access to broadband services.
Mircea Constantin ŞCHEAU
doaj
Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space
Frontiers in Neuroinformatics, 2018 Diffusion MRI requires sufficient coverage of the diffusion wavevector space, also known as the q-space, to adequately capture the pattern of water diffusion in various directions and scales.
Geng Chen +6 more
doaj +1 more source
Convergence rates of general regularization methods for statistical inverse problems and applications [PDF]
During the past the convergence analysis for linear statistical inverse problems has mainly focused on spectral cut-off and Tikhonov type estimators. Spectral cut-off estimators achieve minimax rates for a broad range of smoothness classes and operators,
Bissantz, Nicolai +3 more
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On the regularization and optimization in quantum detector tomography
, 2023 Quantum detector tomography (QDT) is a fundamental technique for calibrating quantum devices and performing quantum engineering tasks. In this paper, we utilize regularization to improve the QDT accuracy whenever the probe states are informationally ...
Hidehiro Yonezawa +13 more
core +1 more source
Advanced Healthcare Materials, EarlyView.A water‐activated phospholipid phase‐separation gel is repurposed as a drug‐free surgical barrier for postoperative adhesion prevention. Propylene glycol promotes rapid lamellar gel reinforcement, prolonged local retention, and tissue coverage, while phosphatidylcholine‐mediated immunomodulation suppresses inflammatory and fibrotic responses. This dual‐
Jong‐Ju Lee +6 more
wiley +1 more source
Self-Adaptive Alternating Direction Method of Multipliers for Image Denoising
Applied SciencesIn this study, we introduce a novel self-adaptive alternating direction method of multipliers tailored for image denoising. Our approach begins by formulating a collaborative regularization model that upholds structured sparsity within images while ...
Mingjie Xie, Haibing Guo
doaj +1 more source
On an approximate method for solving the inverse problem of heat transfer
Известия высших учебных заведений. Поволжский регион: Физико-математические науки, 2023 Background. Developing exact and stable algorithms for solution of inverse problems of mathematical physics is at the leading edge of modern numerical mathematics thanks to rapidly increasing number of applications of such problems in physical and ...
Il'ya V. Boykov, Vladimir A. Ryazantsev
doaj +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
BWFER-YOLOv8: An Enhanced Cascaded Framework for Concealed Object Detection
Applied SciencesContact-free concealed object detection using passive millimeter-wave imaging (PMMWI) sensors is a challenging task due to a low signal-to-noise ratio (SNR) and nonuniform illumination affecting the captured image’s quality.
Khalid Ijaz +5 more
doaj +1 more source
Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent [PDF]
We introduce a pathwise algorithm for the Cox proportional hazards model, regularized by convex combinations of l_1 and l_2 penalties (elastic net). Our algorithm fits via cyclical coordinate descent, and employs warm starts to find a solution along a ...
Trevor Hastie +3 more
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