Results 31 to 40 of about 1,405,222 (160)
Advanced Science, EarlyView.A self‐sustainable vehicular vibration and indoor environment monitoring IoT platform is developed which integrates a hybrid spring‐coupled broadband energy harvester with a machine learning‐assisted PAN‐CuSCN nanofiber triboelectric vibration sensor for subtle‐to‐wide‐range vibration detection and road/speed classification.
Trilochan Bhatta +6 more
wiley +1 more source
Advanced Science, EarlyView.This study develops a smart glove by integrating a P(BZMA‐co‐HEA)/IL ionogel with a reconfigurable FPCB for underwater communication and real‐time safety warning. The network‐constrained ionic soft‐space regulation strategy enables mechanical reliability, environmental stability, and sensing adaptability, while the modular FPCB sensor array simplifies ...
Xiaoqin Li +8 more
wiley +1 more source
EVENT-DRIVEN STOCHASTIC APPROXIMATION
, 2016 We consider a Robbins-Monro type iteration wherein noisy measurements are event-driven and therefore arrive asynchronously. We propose a modification of step-sizes that ensures desired asymptotic behaviour regardless of this aspect.
VARDHAN, MA, SAHASRABUDHE, N, BORKAR, VS
core +1 more source
From Artificial to Embodied and Physical Intelligence in Smart Manufacturing
Advanced Science, EarlyView.Smart manufacturing is reframed through complementary artificial, embodied, and physical intelligence, spanning computational reasoning, perception‐action coupling, and material‐level adaptation. Their integration across design, fabrication, operation, and maintenance reveals how intelligence can be co‐designed across algorithms, embodied agents, and ...
Kang Wang +9 more
wiley +1 more source
Collaborative Visual Localization for Modular Self‐Reconfigurable Robots
Advanced Intelligent Systems, EarlyView.Relative localization in modular self‐reconfigurable robots is challenged by hardware limitations, constrained fields of view, and sensor faults. This paper, based on the SnailBot platform, presents a vision‐based collaborative localization method that combines ArUco markers with learning‐based algorithms to enable robust pose estimation from ...
Guanqi Liang +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
Biotechnology and Bioengineering, EarlyView.ABSTRACT Antibody productivity and glycosylation quality in CHO cell cultures emerge from a dynamically evolving metabolic environment, yet existing models often work in isolation or at a single scale. Here, we present a multiscale mechanistic framework linking molecular, cellular, and macroscopic scales to predict how inputs shape bioprocess ...
Yuming Zeng +3 more
wiley +1 more source
Green Hydrogen for Public Transportation: Insights From an ABM and From Palma de Mallorca Case Study
Business Strategy and the Environment, EarlyView.ABSTRACT The development of green hydrogen (GH2) value chains is crucial for decarbonizing sectors such as transport and industry. Their emergence, however, requires coordination among diverse actors, technologies, and regulations, which traditional analytical approaches struggle to capture.
Roberta De Cristofaro +2 more
wiley +1 more source
Beyond the Human Negotiator: Generative AI and the Threshold of Autonomous Decision‐Making
Conflict Resolution Quarterly, EarlyView.ABSTRACT This article provides a comprehensive framework for understanding the role of artificial intelligence (AI) in negotiation, evaluating contemporary systems through the specific case study of Large Language Models (LLMs). To address the lack of established terminology, it first proposes a new typology distinguishing Negotiation Supported by AI ...
Martin Svatos
wiley +1 more source
Seismic analysis and design of tunnels within fault ground: A review
Deep Underground Science and Engineering, EarlyView.The research methods of seismic response of tunnels within fault ground, including field investigations, analytical solutions, physical experiments, and numerical simulations, and seismic countermeasures are discussed. The present study examines the shortcomings and limitations of the current research and design, and puts forward proposals for future ...
Xingda Wang +6 more
wiley +1 more source