Results 131 to 140 of about 2,159,265 (282)
Blind motion deblurring using thinning kernel
, 2016 碩士盲目影像清晰化主要分為兩個部分：估計過渡影像和估計blur kernel。由於輸入的模糊影像給予足夠的影像資訊，而blur kernel幾乎完全沒有資訊，因此過去的盲目影像清晰化的方法多著重於估計過渡影像的部分。本論文主要研究由照相機晃動導致的模糊影像，並著重於blur kernel的估計。首先，經由相機的晃動軌跡，對blur kernel模型提出簡單的推論與假設；接著以兩個步驟的方式來估計blur kernel，藉此改善資訊不足的問題。本論文先以較為寬鬆的條件求得blur kernel可能的外型 ...
陳品安;Chen, Pin-An
core
Smart Molecules, EarlyView.AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin +10 more
wiley +1 more source
Canonical Higher-Order Kernels for Density Derivative Estimation [PDF]
In this note we present r th order kernel density derivative estimators using canonical higher-order kernels. These canonical rescalings uncouple the choice of kernel and scale factor. This approach is useful for selection of the order of the kernel in a
Christopher F. Parmeter +1 more
core
A 4D‐STEM Tomographic Framework Assisted by Object Tracking for Nanoparticle Structure Determination
Small Methods, EarlyView.4D‐STEM tomography is used as a new methodology for 3D ED data acquisition to solve structures. Object tracking and segmentation methods are applied for the extraction of 3D ED datasets from regions of interest in a 4D‐STEM tomogram. Owing to its nanometric resolution, 4D‐STEM tomography can tackle challenging samples being too small for 3D ED, have ...
Saleh Gholam +8 more
wiley +1 more source
Small Methods, EarlyView.In FIB–SEM tomography of highly porous polymeric electrodes, subsurface fibers visible through open pores are mistaken for in‐plane material, distorting 3D reconstructions. A machine‐learning‐based depth‐aware model trained on everyday photographs, combined with unsupervised clustering, isolates the exposed fiber cross‐sections without labeled data ...
Carlota Bozal‐Ginesta +6 more
wiley +1 more source
Can AI be Easy? Lessons Learned From the EZR.py Toolkit
Software: Practice and Experience, EarlyView.ABSTRACT Much recent press claims that developers no longer need to read code. We disagree, at least within the domain of tabular software‐engineering (SE) optimization tasks: rows of x$$ x $$ and y$$ y $$ values where the y$$ y $$ values are expensive to obtain.
Tim Menzies +2 more
wiley +1 more source
Nonparametric Beta kernel estimator for long memory time series [PDF]
The paper introduces a new nonparametric estimator of the spectral density that is given in smoothing the periodogram by the probability density of Beta random variable (Beta kernel).
VAN BELLEGEM, Sébastien +1 more
core
Zero‐shot learning enabled image enhancement in Bessel beam light sheet fluorescence microscopy
VIEW, EarlyView.A physics‐guided, unsupervised deep learning‐based image restoration framework for Bessel beam light sheet fluorescence microscopy that suppresses side‐lobe‐induced artifacts is presented. The proposed zero‐shot approach achieved 2.2‐fold increase in signal‐to‐noise ratio and 89% contrast improvement in mouse kidney tissue images, demonstrating its ...
Yujie Dong +4 more
wiley +1 more source
Double Kernel estimation of sensitivities [PDF]
This paper adresses the general issue of estimating the sensitivity of the expectation of a random variable with respect to a parameter characterizing its evolution.
Romuald Elie
core
High Voltage, EarlyView.ABSTRACT Unmanned Aerial Vehicle (UAV) inspection of overhead transmission line composite insulators allows for the rapid acquisition of large amounts of infrared images of insulators in service, which can be used to analyse their operational status. However, efficiently and accurately analysing these images remains a challenge.
Zhenan Zhou +7 more
wiley +1 more source