Results 61 to 70 of about 1,937 (241)
This article presents a heuristic methodology to address the operation problem of PV-STATCOMs, focusing on the dynamic compensation of active and reactive power to minimize daily energy losses and costs associated with purchasing energy in distribution ...
Juan David Combita-Murcia +3 more
doaj +1 more source
Considering the variety of coupling errors and disturbances in multi-layer and multi-axis control systems, a novel control multi-layer and multi-axis strategy for structure is proposed in this article.
Jie Xu, Huacai Lu, Xufeng Liu
doaj +1 more source
Laparoscopic Colorectal Surgery in the Era of Robotics: Evolution, Eclipse, or Equilibrium?
ABSTRACT Minimally invasive colorectal surgery has undergone a remarkable transformation over the past three decades. Laparoscopy, once viewed with skepticism, is now firmly established as a standard approach, supported by robust randomized trials demonstrating oncologic safety and improved recovery compared to open surgery.
Amanjeet Singh +3 more
wiley +1 more source
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source
Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs
This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza +2 more
wiley +1 more source
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Programmable‐Stiffness Tensegrity Continuum Robot for Adaptive Multicurvature On‐Orbit Assembly
A bioinspired tensegrity‐based continuum robot (BTCR) with programmable stiffness enables adaptive multicurvature morphing via coordinated intra‐ and intermodule regulation. A unified energy‐based framework predicts self‐equilibrium and deformation for serial modules. Experiments and Simulations demonstrate reconfiguration into hexagonal, circular, and
Yubin Wu +5 more
wiley +1 more source
A master–slave game optimal scheduling strategy for park-integrated energy systems based on adjustable robust optimization [PDF]
Puming Wang +4 more
openalex +1 more source

