Results 101 to 110 of about 43,440 (267)
This study proposed an integrated algorithm for assessing the technical condition of ship power plants, combining case-based reasoning (CBR), Bayesian networks, Markov processes, and cognitive simulation modelling.
V. Vychuzhanin, A. Vychuzhanin
doaj +1 more source
Advanced Manufacturing of Composite‐Based Systems for Energy Applications
Advanced manufacturing enables the integration of polymers, ceramics, metal oxides, and composites into architected microstructures with tailored transport pathways. By coupling material selection, manufacturing strategy, and structural design, multifunctional energy systems can simultaneously improve electrochemical performance, thermal management ...
Sri Vaishnavi Thummalapalli +13 more
wiley +1 more source
On‐Chip Photonic Neural Network Architectures
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong +7 more
wiley +1 more source
Spatiotemporal bayesian modelling of scorpionism and its risk factors in the state of São Paulo, Brazil. [PDF]
Chiaravalloti-Neto F +8 more
europepmc +1 more source
3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu +5 more
wiley +1 more source
Bayesian hierarchical modelling of size spectra
A fundamental pattern in ecology is that smaller organisms are more abundant than larger organisms. This pattern is known as the individual size distribution (ISD), which is the frequency distribution of all individual body sizes in an ecosystem. The ISD
Jeff S. Wesner +3 more
doaj +1 more source
Bayesian spatio-temporal modelling: a systematic review
Integrating time dimension into the spatial data poses additional challenges in implementing advanced statistical or computational methods for analyzing data.
Francisco Louzada +3 more
doaj +1 more source
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
Semi-Supervised Non-Parametric Bayesian Modelling of Spatial Proteomics. [PDF]
Crook OM, Lilley KS, Gatto L, Kirk PDW.
europepmc +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source

