Speed limits and gradients from RJ to WYJ. by Yunhu Huang (21402795)

“…On the basis of EITO_E, we propose EITO_P algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …”

EITO_E speed distance profile. by Yunhu Huang (21402795)

“…On the basis of EITO_E, we propose EITO_P algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …”

Speed limits and gradient from SJZ to XHM. by Yunhu Huang (21402795)

“…On the basis of EITO_E, we propose EITO_P algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …”

Parameters of DKZ32. by Yunhu Huang (21402795)

“…On the basis of EITO_E, we propose EITO_P algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …”

CARNOT: a Fragment-Based Direct Molecular Dynamics and Virtual–Reality Simulation Package for Reactive Systems by Xin Chen (14149)

Subjects:

CARNOT: a Fragment-Based Direct Molecular Dynamics and Virtual–Reality Simulation Package for Reactive Systems by Xin Chen (14149)

Subjects:

CARNOT: a Fragment-Based Direct Molecular Dynamics and Virtual–Reality Simulation Package for Reactive Systems by Xin Chen (14149)

Subjects:

CARNOT: a Fragment-Based Direct Molecular Dynamics and Virtual–Reality Simulation Package for Reactive Systems by Xin Chen (14149)

Subjects:

CARNOT: a Fragment-Based Direct Molecular Dynamics and Virtual–Reality Simulation Package for Reactive Systems by Xin Chen (14149)

Subjects:

CARNOT: a Fragment-Based Direct Molecular Dynamics and Virtual–Reality Simulation Package for Reactive Systems by Xin Chen (14149)

Subjects:

The SSA based SVM objective function minimization against iterations. by Ali Ahmed (2567584)

Subjects:

Algorithmic assessment reveals functional implications of GABRD gene variants linked to idiopathic generalized epilepsy by Ayla Arslan (17943365)

“…</p> <p>The study employs a combination of in silico algorithms to analyze 82 variants of unknown clinical significance of GABRD gene sourced from the ClinVar database. …”

A hybrid algorithm based on improved threshold function and wavelet transform. by Bingbing Li (461702)

“…<p>A hybrid algorithm based on improved threshold function and wavelet transform.…”

Predictions from a Universal Value Function Approximator (UVFA) algorithm. by Sam Hall-McMaster (10343795)

The PS of ten comparative algorithms on the MMF14a Test Function. by Wenxing Wu (16853002)

“…<p>The PS of ten comparative algorithms on the MMF14a Test Function.</p>…”

A Multi-Resolution Approximation for Massive Spatial Datasets by Matthias Katzfuss (1390277)

“…The basis functions are automatically chosen to approximate a given covariance function, which can be nonstationary. …”

Parallel Implementation of Density Functional Theory Methods in the Quantum Interaction Computational Kernel Program by Madushanka Manathunga (1494862)

“…Our implementation features an octree based numerical grid point partitioning scheme, GPU enabled grid pruning and basis and primitive function prescreening, and fully GPU capable XC energy and gradient algorithms. …”

Data_Sheet_1_Modeling intracranial electrodes. A simulation platform for the evaluation of localization algorithms.pdf by Alejandro O. Blenkmann (13914651)

“…</p>Conclusion<p>We successfully developed the first platform to model implanted intracranial grids, strips, and depth electrodes and realistically simulate thresholded CT artifacts and their noise. These methods provide a basis for developing more complex models, while simulations allow systematic evaluation of the performance of electrode localization techniques. …”

Programmable Droplet Microfluidics Based on Machine Learning and Acoustic Manipulation by Kyriacos Yiannacou (10292766)

“…In this work, we demonstrate a programmable microfluidic chip for the two-dimensional manipulation of droplets, based on ultrasonic bulk acoustic waves and a closed-loop machine-learning-based control algorithm. …”

Programmable Droplet Microfluidics Based on Machine Learning and Acoustic Manipulation by Kyriacos Yiannacou (10292766)

“…In this work, we demonstrate a programmable microfluidic chip for the two-dimensional manipulation of droplets, based on ultrasonic bulk acoustic waves and a closed-loop machine-learning-based control algorithm. …”