Results 101 to 110 of about 23,984,619 (356)

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source

Collaborative Multiagent Closed‐Loop Motion Planning for Multimanipulator Systems

Advanced Intelligent Systems, EarlyView.
This work presents a hierarchical multi‐manipulator planner, emphasizing highly overlapping space. The proposed method leverages an enhanced Dynamic Movement Primitive based planner along with an improvised Multi‐Agent Reinforcement Learning approach to ensure regulatory and mediatory control while ensuring low‐level autonomy. Experiments across varied
Tian Xu, Siddharth Singh, Qing Chang
wiley   +1 more source

Efficient Removal of Short‐Chain Perfluoroalkyl Substances by Cavity‐Directed Aggregation in a Molecular Cage Host

Angewandte Chemie, EarlyView.
A molecular cage exhibits strong entropy‐driven encapsulation of perfluoroalkyl substances (PFAS), accommodating up to four short‐chain guests as anionic aggregates. Guided by these molecular‐level insights, a novel host‐in‐host adsorbent is developed: mesoporous silica doped with 1 wt% cage achieves >98% removal of short‐ and long‐chain PFAS with full
Caroline V. I. Andersson, Sumali G. T. Mudiyanselage, Martin D. Peeks, Asja A. Kroeger, Jemma I. Virtue, Maximilian Mann, Justin M. Chalker, Michelle L. Coote, Martin R. Johnston, Witold M. Bloch   +9 more
wiley   +2 more sources

Cost-Effectiveness Analysis of Sacubitril/Valsartan Compared to Enalapril for Heart Failure Patients in Indonesia

ClinicoEconomics and Outcomes Research, 2021
Neily Zakiyah,1,2 Rano K Sinuraya,1– 3 Arif SW Kusuma,2,4 Auliya A Suwantika,1,2,5 Keri Lestari1,2 1Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Bandung, Indonesia; 2Center of Excellence in Higher ...
Zakiyah N, Sinuraya RK, Kusuma ASW, Suwantika AA, Lestari K   +4 more
doaj  

Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs

Advanced Intelligent Systems, EarlyView.
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, Bruno José Olivieri de Souza, Markus Endler   +2 more
wiley   +1 more source

COST EFFECTIVENESS OF ORAL PERICALCITOL IN PATIENTS WITH STAGE III-IV CHRONIC KIDNEY DISEASE AND SECONDARY HYPERPARATHYREOSIS

Фармакоэкономика, 2015
results of clinical trials demonstrate that selective vitamin D receptor agonist paricalcitoldecreases proteinuria in patients with chronic kidney disease (CKD) and hyperparathyreosis.
A. V. Rudakova
doaj  

Modelling the Cost-Effectiveness of Indacaterol/Glycopyrronium versus Salmeterol/Fluticasone Using a Novel Markov Exacerbation-Based Approach

International Journal of COPD, 2020
Bhavesh Lakhotia,1 Ronan Mahon,1 Florian S Gutzwiller,2 Andriy Danyliv,1 Ivan Nikolaev,2 Praveen Thokala3 1Novartis Ireland Limited, Dublin, Ireland; 2Novartis Pharma, Basel, AG, Switzerland; 3PT Health Economics Ltd, Sheffield, UKCorrespondence: Ronan ...
Lakhotia B, Mahon R, Gutzwiller FS, Danyliv A, Nikolaev I, Thokala P   +5 more
doaj  

Enabling Stochastic Dynamic Games for Robotic Swarms

Advanced Intelligent Systems, EarlyView.
This paper scales stochastic dynamic games to large swarms of robots through selective agent modeling and variable partial belief space planning. We formulate these games using a belief space variant of iterative Linear Quadratic Gaussian (iLQG). We scale to teams of 50 agents through selective modeling based on the estimated influence of agents ...
Kamran Vakil, Alyssa Pierson
wiley   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

Language‐Guided Robot Grasping Based on Basic Geometric Shape Fitting

Advanced Intelligent Systems, EarlyView.
This article presents a language‐guided, model‐free grasping framework that integrates multimodal perception with primitive‐based geometric fitting. By explicitly modeling object geometry from RGB‐D data, the method enables semantically controllable grasp pose generation and achieves robust performance in both structured and cluttered real‐world ...
Qun Niu, Chuanlin Zhang, Tianyu Zhang, Jieliang Zhao, Tie Fu, Xuemei Chen   +5 more
wiley   +1 more source