Results 121 to 130 of about 239,312 (230)
Analisis Desentralisasi Fiskal di Kabupaten Bungo
The purpose of this study was to measure and analyze the degree of fiscal decentralization in Bungo district during the years 2000 to 2010 as well as analyzing the relationship of GDP to the degree of fiscal decentralization during the same period.
Supriyadi Supriyadi +2 more
doaj
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
This work presents compact, low‐voltage actuators based on electropermanent magnetic interactions. The actuators show good overall performance across key metrics and are implemented in wearable devices and untethered robots. Their ability to operate in different configurations and hold positions without energy input highlights their potential for ...
Arturo Castillo Ugalde +4 more
wiley +1 more source
We address multilayer PCB anomaly detection for smart manufacturing by physical reservoir computing with HfO2‐based memristors. Crystallinity‐tuned HfO2 suppresses ferroelectricity while preserving the high‐k insulating state and confers strong short‐term memory.
Yongho Lee +7 more
wiley +1 more source
Collaborative Multiagent Closed‐Loop Motion Planning for Multimanipulator Systems
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
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
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
ABSTRACT The 2023 Australian Voice to Parliament Referendum presented a pivotal moment in the nation's democratic landscape. Despite support for Indigenous well‐being, the referendum did not secure the necessary approval, prompting extensive analysis of its outcome.
Scott Baum, William Mitchell
wiley +1 more source
This study investigates the impact of various p‐block element impurities in the electrochemical reductive amination and reveals with Bi a less toxic alternative for Pb. The utilization of Bi as additive was further optimized by studying the impact of additive concentration, reaction temperature, and cathode material on amine yield, offering new ...
Justus Kümper +5 more
wiley +1 more source

