Results 131 to 140 of about 292,063 (306)
Mapeo de actores de la innovación tecnológica en las cadenas de valor de maíz y frijol en Costa Rica [PDF]
, 2012 En el marco de la estrategia IICA país para Costa Rica y la implementación del proyecto Red SICTA, el presente documento pretende recopilar y actualizar de manera general las características y limitaciones relacionadas a las cadenas de valor de frijol ...
Instituto Interamericano de Cooperación para la Agricultura (IICA) +2 more
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Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
Del artesano a la prima donna: actores de un proceso entre materialidad, circulación y espectáculo
, 2022 El capítulo trata sobre diferentes actores de un proceso relacionado con los teatros. Se profundiza en sus constructores, en los referentes sociales y políticos que participaron en su creación como también se ingresa en la trama de artistas y ...
Ceva, Mariela Gisela
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Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Advanced Intelligent Systems, EarlyView.Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers
Advanced Intelligent Systems, EarlyView.A heterogeneous graph transformer (HGT) is introduced for reinforcement learning‐based job shop scheduling by explicitly distinguishing precedence and machine‐contention relations through edge‐type‐specific attention. The proposed framework learns richer scheduling representations, improves decision quality over homogeneous graph models, and highlights
Bulent Soykan, Fatih Kasimoglu
wiley +1 more source
Advanced Intelligent Systems, EarlyView.A training‐free two‐stage BO–RL framework extracts compact model parameters for a‐IGZO TFTs, reaching BO‐level fitting quality at a constant per‐simulation optimization cost. Bayesian optimization performs exploration and provides an optimized starting point.
Seunghyun Son +4 more
wiley +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
Advanced Intelligent Systems, EarlyView.This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
Summa, 2019 Posicionado en el espacio global y con acento en el contexto argentino, el artículo explora las dinámicas generadas por el capitalismo global y su vínculo con las acciones estratégicas para el desarrollo de la fuerza de trabajo en Argentina durante el ...
Silvia Morales Carrizo
doaj
Graph Neural Network‐Based Reinforcement Learning for Decentralized Multi‐Robot Manipulation
Advanced Intelligent Systems, EarlyView.Robot arms lifting a large object face a trade‐off: centralized controllers explode in parameters, while decentralized ones cannot coordinate. A GNN resolves this—each arm runs its own network but acts on the full team state, achieving centralized‐level coordination with decentralized execution. Trained across team sizes, a single policy scales to four‐
Tong Chen +3 more
wiley +1 more source