Results 71 to 80 of about 6,133,638 (273)

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source

Multi-Product Exporters and Product Turnover Behaviour of New Zealand Exporters [PDF]

Using a unique dataset that covers all exporting firms in New Zealand from 1996 to 2007, this paper analyses the patterns of their product mix, how it changes over time and how this relates to firm characteristics. We suggest that looking at the relative
Muge Adalet
core  

Pressure Drop in Capsule Transporting Pipeline Carrying Spherical Capsules [PDF]

, 2011
Design parameters of hydraulic pipelines in which capsules flow can be developed if pressure drops ( P/L)m are known. Designers are in need of a general correlation to calculate pressure drop.
Ubbi, Kuldip, Saqib, Muhammad, Asim, Taimoor, Mishra, Rakesh   +3 more
core   +3 more sources

Enhancing E-commerce recommendations with sentiment analysis using MLA-EDTCNet and collaborative filtering

Scientific Reports
The rapid growth of e-commerce has made product recommendation systems essential for enhancing customer experience and driving business success. This research proposes an advanced recommendation framework that integrates sentiment analysis (SA) and ...
E. S. Phalguna Krishna, T. Bhargava Ramu, R. Krishna Chaitanya, M. Sitha Ram, Narasimhula Balayesu, Hari Prasad Gandikota, B. N. Jagadesh   +6 more
doaj   +1 more source

BAN-ASTE: A unified neural framework for Bengali aspect sentiment triplet extraction

Natural Language Processing Journal
Triplet extraction-aspect, opinion, and sentiment detection for each product review is a valuable contribution to fine-grained sentiment analysis. Though this task is extensively studied for English and other large languages, triplet extraction for ...
Ariful Islam, Md. Mynul Hasan, Md. Kishor Morol, Nafiz Fahad, Md. Tanzib Hosain, Md. Jakir Hossen, Dip Nandi   +6 more
doaj   +1 more source

OntOMat: Toward Ontology‐Based Product and Process Design Engineering and Optimization Solutions Fueling Circular Value Chains

Advanced Engineering Materials, EarlyView.
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ, Jörg Hohe, Martin Kördel, Michael Giese, Niklas Toffert, Christian Seidel, Olaf Rehme, Patrik Schneider, Oliver Focke, Elie Abi Aoun, Claas Falldorf, Beñat Gutierrez, Alexandra Kühn, Sven Torstrick-von der Lieth, Christoph Herden, Erik Johannsen, Jan‐Uwe R. Schmidt, Felix Winkelmann, Andreas Schott, Daniel Schott   +19 more
wiley   +1 more source

Exploiting big earth data from space – first experiences with the timescan processing chain

Big Earth Data, 2018
The European Sentinel missions and the latest generation of the United States Landsat satellites provide new opportunities for global environmental monitoring.
T. Esch, S. Üreyen, J. Zeidler, A. Metz–Marconcini, A. Hirner, H. Asamer, M. Tum, M. Böttcher, S. Kuchar, V. Svaton, M. Marconcini   +10 more
doaj   +1 more source

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

Advanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin, Marta Campolucci, Nicolas de Andrade Ishiki, Nathan Mirgot, Nadir Zhamantay, Frédéric Kanoufi, Jennifer Peron, Jean Charlety, Emiliano Fonda, Valérie Briois, Marco Faustini, Maria‐Letizia De Marco, Christine Goyhenex, Ovidiu Ersen, Hervé Bulou   +14 more
wiley   +1 more source

Advances in Sustainable and Wearable Textile Based Soft Robotics

Advanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas, Marzia Dulal, Sophia K. Novoselov, Victoria K. Novoselov, Kostya S. Novoselov, Shaila Afroj, Nazmul Karim   +6 more
wiley   +1 more source