Results 231 to 240 of about 9,974,561 (338)

The future of dynamic networks in research and clinical practice. [PDF]

World Psychiatry
Bringmann LF.
europepmc   +1 more source

Customized Dynamic Load Balancing for a Network of Workstations

, 1997
Mohammed J. Zaki, Wei Li, Srinivasan Parthasarathy   +2 more
openalex   +1 more source

Dynamic reconfiguration of node location in wormhole networks [PDF]

, 2000
José L. Sánchez, José M. Garcı́a
openalex   +1 more source

Hydrogel‐Based Capacitive Sensor Model for Ammonium Monitoring in Aquaculture

Advanced Engineering Materials, EarlyView.
Traditional techniques for monitoring aquaculture water quality, particularly ammonium levels, harm fish. This work presents a novel capacitive sensor with an ionic hydrogel transducer to monitor ammonium concentration in real time based on the ammonium‐induced hydrogel dissociation and osmotic pressure. Monitoring aquaculture water quality, especially
Mohammad Mirzaee, Mahdi Askari‐sedeh, Ali Zolfagharian, Mostafa Baghani   +3 more
wiley   +1 more source

Bayesian Optimization for State and Parameter Estimation of Dynamic Networks with Binary Space. [PDF]

Control Technol Appl
Alali M, Imani M.
europepmc   +1 more source

From rigid structures to dynamic networks [PDF]

, 2000

openalex   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

Fabricating High Strength Bio-Based Dynamic Networks from Epoxidized Soybean Oil and Poly(Butylene Adipate-co-Terephthalate). [PDF]

Polymers (Basel)
Xu B, Xia ZM, Zhan R, Yang KK.
europepmc   +1 more source

Analysis of an Immune Network Dynamical System Model with a Small Number of Degrees of Freedom [PDF]

, 2000
S. Itaya, T. Uezu
openalex   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source