Results 221 to 230 of about 104,520 (296)

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

Advanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar, Dhanadeep Dutta, G. Bharat Reddy   +2 more
wiley   +1 more source

Artifact-Aware Fungal Detection in Dermatophytosis: A Transformer-Based Approach for KOH Microscopy. [PDF]

Bioengineering (Basel)
Gursoy R, Yilmaz A, Kizilyaprak B, Caglar E, Temelkuran B, Uvet H, Koku Aksu AE, Gencoglan G.   +7 more
europepmc   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

AI-Driven Dental Procedure Coding: A Multi-Model Framework for CDT Extraction from Clinical Text. [PDF]

Dent J (Basel)
Annareddy P, Noori A, Kollipara D, Manda P.   +3 more
europepmc   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

ISPAD, bridging clinical expertise and AI for autoimmune-related pernicious anemia diagnosis. [PDF]

Front Immunol
Boumela N, Cadiot G, Chaoui F.
europepmc   +1 more source

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source

GreenAid: a confidence-weighted ensemble deep learning system for real-time plant disease detection and management. [PDF]

Sci Rep
Talaat FM, Tawfik M, Shaban WM.
europepmc   +1 more source

Electrified Damage in Motion Systems

Advanced Engineering Materials, EarlyView.
The electrified damage in motion systems is a fundamental framework presenting the degradation pathway arising from the coupling of electrical energy transport with mechanical contact and interfacial chemistry. The framework positions electrified damage as a distinct degradation regime with unique characteristic surface morphologies and failures of ...
M. Humaun Kabir, Angelina Nguyen, Hong Liang   +2 more
wiley   +1 more source

Optimized deep learning ensemble using Fast Osprey algorithm for accurate lymphoblastic leukemia detection. [PDF]

Front Med (Lausanne)
Kaur N, Khan S, Kaur B, Alomran A, Ahmad S, Alshammari T, Alomary FO.   +6 more
europepmc   +1 more source