IEEE

Online Adaptive Dynamic Programming for Optimal Position Control of Magnetically Actuated Capsule

Abstract: In this article, an optimal position control framework based on online adaptive dynamic programming is proposed for magnetically actuated capsules (MACs). First, sensorless magnetic force ...
IEEE

Data-Driven Optimal Output Feedback Control of Unknown System Model via Adaptive Dynamic Programming

Abstract: This paper investigates the linear quadratic optimal output feedback control problem for an unknown linear continuous-time system. Combined with adaptive dynamic programming and optimal ...
Scientific Research Publishing

Betts, J. T. (2010). Practical Methods for Optimal Control and Estimation Using Nonlinear Programming (2nd ed.). SIAM.

ABSTRACT: Supply chain partners often face a fundamental trade-off: dishonesty can provide immediate rewards, but excessive lying erodes credibility and undermines future opportunities. Prior research ...
Morningstar

vCluster and Netris Announce Partnership to Deliver Full-Stack Kubernetes Multi-Tenancy for AI Infrastructure

(NVIDIA GTC 2025 Booth #526) – vCluster Labs (formerly LoftLabs), the company pioneering Kubernetes virtualization, and Netris, the leading Network Automation, Abstraction, and Multi-Tenancy (NAAM) ...
C&EN

Hierarchical Reinforcement Learning with Dynamic Meta Agent for Adaptive Cut Selection in Integer Programming with Applications to Sensor Network Design

Department of Chemical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India Indian Institute of Technology Delhi-Abu Dhabi, Khalifa City B 20010, Abu Dhabi, UAE ...
Financial Planning

How RIAs can decide their optimal client household count

This is the 22nd installment in a Financial Planning series by Chief Correspondent Tobias Salinger on how to build a successful RIA. See the previous stories here, or find them by following Salinger ...
Total Retail

Beyond Traditional Segmentation: How AI is Changing the Dynamic Content Game

Wondering what your customers really want? Right now? In 2025? Here it is: Customers want brands to meet them where they are, in real time, with made-for-them messaging that’s genuinely helpful given ...
Frontiers

Optimal portfolio selection in jump-uncertain stochastic markets via maximum principle and dynamic programming

This study develops a unified framework for optimal portfolio selection in jump–uncertain stochastic markets, contributing both theoretical foundations and computational insights. We establish the ...
GitHub

Used Unsupervised Machine Learning using KMeans for user segmentation of mall customers dataset.

There was an error while loading. Please reload this page. This project demonstrates how to build a K-Means clustering algorithm from scratch to segment mall ...
Scientific Research Publishing

Research on Automated Accurate Segmentation Algorithm of Double Kidney in Renal Dynamic Imaging Based on Improved UNet ()

1 School of Electronic Information, Xijing University, Xi’an, China. 2 Department of Nuclear Medicine, Shaanxi Provincial Cancer Hospital, Xi’an, China. 3 Shaanxi University of Chinese Medicine, ...