Underground Signals: The Ecological Power of Root Volatiles
Root volatiles mediate rhizosphere chemical communication, shaping interactions among plants, microbes, herbivores, and natural enemies. Their production, transport, and perception underpin ecological adaptation, multitrophic interactions, and plant resilience, offering opportunities for sustainable crop protection, resilient agroecosystems, and ...
Xueyao Cao +31 more
wiley +1 more source
Hydrogel‐Based Bioelectronics: From Therapy and Sensing to Neuromorphic Computation
This review establishes a material–conduction–property–application framework connecting hydrogel chemistry and charge transport with therapy, sensing, closed‐loop feedback, and neuromorphic computation. ABSTRACT Bioelectronics establish bidirectional communication between living systems and electronic devices, providing an enabling platform for ...
Jianlong Hong +7 more
wiley +1 more source
IoT-Based Prognostics and Systems Health Management for Industrial Applications
Prognostics and systems health management (PHM) is an enabling discipline that uses sensors to assess the health of systems, diagnoses anomalous behavior, and predicts the remaining useful performance over the life of the asset.
Daeil Kwon +4 more
doaj +1 more source
Borophene‐based sensing platforms: Pioneering ultrasensitive detection
Schematic Diagram of Performance Optimization Strategies and Sensing Application Characteristics of Two‐Dimensional Boron‐Based Materials in Novel Sensors. Abstract Borophene is an emerging two‐dimensional (2D) material. Since significant breakthroughs were achieved in the experimental synthesis of borophene, the exploration and development of ...
Chi Yuan, Yanpeng Ji, Yi Liu, Guoan Tai
wiley +1 more source
Prognostics and health management (PHM) for astronauts: a collaboration project on the International Space Station [PDF]
Long-duration missions bring numerous risks that must be understood and mitigated in order to keep astronauts healthy, rather than treat a diagnosed health disorder. Having a limited medical support from mission control center on space exploration missions, crew members need a personal health-tracking tool to predict and assess his/her health risks if ...
Popov, Alexandre +2 more
openaire +2 more sources
Using Explainable Artificial Intelligence to Interpret Remaining Useful Life Estimation with Gated Recurrent Unit [PDF]
Baptista, M. L., Mishra, M., Henriques, E., & Prendinger, H. (2024). Using Explainable Artificial Intelligence to Interpret Remaining Useful Life Estimation with Gated Recurrent Unit. In C. S. Kulkarni, & M. E.
Mishra, Madhav, +7 more
core +1 more source
ABSTRACT Integrating distributed temperature sensing (DTS) and distributed acoustic sensing (DAS) data with numerical simulations to analyze inter‐well interference and production responses remains challenging. This study employs a coupled thermal–hydraulic–mechanical simulation framework to model heat transfer, fluid flow, and geomechanical responses ...
Chuanyao Zhong +3 more
wiley +1 more source
Data-driven prognostics and health management for mining processing machinery: a systematic review
Ore processing in the mining industry depends on the efficient and continuous operation of large, heavy and interconnected machinery or assets throughout the processing plant. A reduction in asset performance can lead to downtime, production loss, safety
Sameer Prabhu +3 more
doaj +1 more source
PHM SURVEY: Implementation of Prognostic Methods for Monitoring Industrial Systems
Prognostics and Health Management (commonly called PHM) is a field that focuses on the degradation mechanisms of systems in order to estimate their health status, anticipate their failure and optimize their maintenance.
Abdenour Soualhi +3 more
doaj +1 more source
Weibull Variational Autoencoder for Remaining Useful Life Prediction
ABSTRACT Remaining useful life (RUL) prediction is a critical technology for preventing unexpected failures and reducing maintenance costs in modern industrial systems. However, traditional model‐based approaches are limited by the need for explicit mathematical modeling of degradation mechanisms, while data‐driven methods often require large‐scale ...
JunWoo Yu +4 more
wiley +1 more source

