Results 241 to 250 of about 45,566 (301)

Diagnosis of Reverse-Connection Defects in High-Voltage Cable Cross-Bonded Grounding System Based on ARO-SVM. [PDF]

Sensors (Basel)
Ai Y, Song B, Wu S, Li Y, Lu L, Wang L.
europepmc   +1 more source

Additive Manufacturing of Ni‐Based Thermoelectric Materials for Waste Heat Recovery

Advanced Materials Technologies, EarlyView.
Thermoelectric generators convert waste heat into electricity but are constrained by conventional fabrication. Here, laser powder bed fusion enables direct printing of customised n‐type Cu60Ni40 and p‐type Ni90Cr10 legs. The assembled module achieves 0.8% efficiency at ΔT = 419 K, demonstrating scalable additive manufacturing of eco‐friendly, design ...
Karolin Amstein, Aayush Dobhal, Heiko Reith, Ran He, Julia Kristin Hufenbach, Kornelius Nielsch, Pingjun Ying   +6 more
wiley   +1 more source

A novel approach to managing uncertainty in risk assessment using integrated z-numbers and intuitionistic fuzzy sets: A case study on LPG spherical tanks. [PDF]

PLoS One
Aliabadi MM, Ahmadi Moshiran V, Kalatpour O, Ahmadi O.   +3 more
europepmc   +1 more source

Direct Laser Writing of Magnetic Micro Actuators With a Stimulus‐Responsive Compliant Hinge

Advanced Materials Technologies, EarlyView.
This study presents a versatile modular design strategy for adaptive 3D microactuators. Using two‐photon‐induced C,H insertion reactions within solid polymer layers, chemically distinct hinge and stimulus responsive materials are patterned in one step. The hinge's properties enable tunable motion, mechanical control, and reconfigurable actuation across
Eleonora Galli, Nicolas Geid, Yizheng Liu, Friederike Strahl, Jürgen Rühe   +4 more
wiley   +1 more source

CSAMT-Driven Feasibility Assessment of Beishan Underground Research Laboratory. [PDF]

Sensors (Basel)
An Z, Di Q, Fu C, Wang Z.
europepmc   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

Semantic Workflow Representation and Samples

, 2005
Cantalupo, Barbara, Giammarino, Ludovico, Matskanis, N., Silvestri, Fabrizio Silvestri, Surridge, M.   +4 more
core  

Advanced AI-driven techniques for fault and transient analysis in high-voltage power systems. [PDF]

Sci Rep
Aziz A, Yousaf MZ, Renhai F, Khan W, Siddique U, Ahmad M, Abbas M, Bajaj M, Zaitsev I.   +8 more
europepmc   +1 more source

Fault Diagnosis Method for Converter Stations Based on Fault Area Identification and Evidence Information Fusion. [PDF]

Sensors (Basel)
Wang S, Wang X, Ren X, Wang Y, Xu S, Ge Y, He J.   +6 more
europepmc   +1 more source

Optical Microscopy for High-Resolution IPMC Displacement Measurement. [PDF]

Sensors (Basel)
Minas D, Tsiakmakis K, Hatzopoulos AT, Tsintotas KA, Vassios V, Papadopoulou MS.   +5 more
europepmc   +1 more source