Results 131 to 140 of about 911,097 (293)
Use of Machine Learning for Partial Discharge Discrimination
Partial discharge (PD) measurements are an important tool for assessing the condition of power equipment. Different sources of PD have different effects on the insulation performance of power apparatus.
Hao, L, Lewin, P L, Swingler, S G
core
Elinvar Materials: Recent Progress and Challenges
Elinvar materials, exhibiting temperature‐invariant elastic modulus, are critical for precision instruments and emerging technologies. This article reviews recent progress in the field, with a focus on the anomalous thermoelastic behavior observed in key material systems.
Wenjie Li, Yang Ren
wiley +1 more source
A Deep Learning Approach for Identifying Intentional AIS Signal Tampering in Maritime Trajectories
In the field of maritime safety research, ship behavior analysis is usually based on data provided by automatic identification systems (AISs). Prevailing studies predominantly focus on detecting the behaviors of vessels that may affect maritime safety ...
Xiangdong Lv +4 more
doaj +1 more source
Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel +6 more
wiley +1 more source
Estimation of surface duct parameters using AIS data based on Bayesian inversion method
Automatic Identification System (AIS) operates within a very high frequency (VHF) maritime mobile band, which could be impacted by surface duct seriously.
Hong-Guang Wang +4 more
doaj +1 more source
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Research on the application of large language models for ship navigation decision-making
ObjectiveTo address the limitations in generalization capability and interpretability of decision outputs in current intelligent ship navigation systems, this study explores the application of large language model (LLM) technology.
Yaqi LIU +5 more
doaj +1 more source
High‐temperature interactions between low‐sulfur Al‐killed Mn–B steel and MgO–C refractories (0 and 50 wt% recyclates) are studied via finger immersion tests (1600 °C). Surface‐active elements influence infiltration. MgO/CaS layer forms, along with spinel and calcium silicate.
Matheus Roberto Bellé +5 more
wiley +1 more source
This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal +2 more
wiley +1 more source
The formation of nonmetallic inclusions (NMIs) was investigated in this study, carrying out immersion tests for 30 min at a temperature of 1600°C with liquid high‐silicon electrical steel (Si ≈ 3 mass‐%) and different MgO–C refractories. Conventional MgO–C refractories were considered, as well as MgO–C refractories containing MgO–C recyclate and ...
Lukas Neubert +6 more
wiley +1 more source

