Iterative Optimization Using Normalized Transmission Map for IMRT With Arbitrary Beam ProfilesUltrasound wave irradiationMicrobubblePromoterSuicide geneBreast cancerSuicide gene therapy has become an effective therapy for breast cancer, and ultrasound targeted microbubble destruction (UTMD) has become a popular ...
Code Issues Pull requests An iterative computing framework for both Hadoop MapReduce and Hadoop YARN. machine-learning yarn hadoop in-memory iterative Updated May 20, 2022 Java cylondata / twister2 Star 57 Code Issues Pull requests A composable framework for fast and scalable data analytics ...
The obtained strain LL006 was used as a test strain for further enzyme design and optimization to increase PN production. Protein engineering of key enzymes The efficiency of biosynthetic enzymes directly determines the rates of metabolic reactions and thus controls the flux distribution, which is ...
Fig. 7. Solutions types/algorithms for optimization in CRAN. Iterative: Iterative algorithms compute a sequence of points for an optimal solution starting from an initial guess. In (Qi et al., 2014), an iterative method was used to solve rate optimization problem while reducing the distributed ...
Iterative Linear Quadratic Regulator (iLQR)is an optimal control algorithm commonly used to solve trajectory optimization problems for nonlinear systems. This repository offers a pure C++ implementation that prioritizes speed, minimal dependencies, and straightforward integration. The corresponding optimal cont...
a downside. Very small (noise-like) perturbation added to an input image can result in incorrect predictions with high confidence [10,37]. Such adversarial attacks are usually crafted by performing a projected gradient descent method for solving a constrained optimization problem. The optimization ...
Nobody has a crystal ball, that’s why we test stuff. If you judge an idea (or an optimizer) based on the first test, you essentially expect clairvoyance. Have to break it to you – there is no such thing, at least in optimization. ...
The proposed IGEV-Stereo builds a combined geometry encoding volume that encodes geometry and context information as well as local matching details, and iteratively indexes it to update the disparity map. To speed up the convergence, we exploit GEV to regress an accurate starting point for Conv...
PCWNet is a volume filtering-based method, DLNR is an iterative optimization-based method, and GMStereo is a transformer-based method. Our IGEV++ performs well in large textureless regions at close range with large disparities. Network architecture ...
We consider a minimax problem motivated by distributionally robust optimization (DRO) when the worst-case distribution is continuous, leading to significant computational challenges due to the infinite-dimensional nature of the optimization problem. Recent research has explored learning the worst-case ...