Results 191 to 200 of about 104,454 (340)

A RELATIONSHIP BETWEEN RESPONSES PER REINFORCEMENT AND PREFERENCE DURING CONCURRENT VI VI [PDF]

, 1963
Samuel H. Revusky
openalex   +1 more source

Advancing Digital Transformation in Material Science: The Role of Workflows Within the MaterialDigital Initiative

Advanced Engineering Materials, EarlyView.
The MaterialDigital initiative drives the digital transformation of material science by promoting findable, accessible, interoperable, and reusable principles and enhancing data interoperability. This article explores the role of scientific workflows, highlights challenges in their adoption, and introduces the Workflow Store as a key tool for sharing ...
Simon Bekemeier, Celso Ricardo Caldeira Rêgo, Han Lin Mai, Ujjal Saikia, Osamu Waseda, Markus Apel, Felix Arendt, Alexander Aschemann, Bernd Bayerlein, Robert Courant, Gordian Dziwis, Florian Fuchs, Ulrich Giese, Kurt Junghanns, Mohamed Kamal, Lukas Koschmieder, Sebastian Leineweber, Marc Luger, Marco Lukas, Jürgen Maas, Jana Mertens, Björn Mieller, Ludger Overmeyer, Norbert Pirch, Jan Reimann, Sebastian Schröck, Philipp Schulze, Jörg Schuster, Alexander Seidel, Oleg Shchyglo, Marek Sierka, Frank Silze, Simon Stier, Marvin Tegeler, Jörg F. Unger, Matthias Weber, Tilmann Hickel, Jörg Schaarschmidt   +37 more
wiley   +1 more source

ESfix: An Embedded Program Repair Tool for Effective Removal of Concurrency Defects. [PDF]

Entropy (Basel)
Zhao J, Wu Y, Fu Y, Liu S.
europepmc   +1 more source

Multi-dimensional task recognition for human-robot teaming: literature review. [PDF]

Front Robot AI, 2023
Baskaran P, Adams JA.
europepmc   +1 more source

Mass transfer between isobutanol and water in concurrent flow through a packed column [PDF]

, 1961
James Albert Leacock, Stuart W. Churchill   +1 more
openalex   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source

Adaptive Tip Selection for DAG-Shard-Based Federated Learning with High Concurrency and Fairness. [PDF]

Sensors (Basel)
Xiao R, Cao Y, Xia B.
europepmc   +1 more source

Concurrent Oxygen Exchange and Racemization Reactions of Diaryl Sulfoxides in Phosphoric Acid [PDF]

, 1968
Norio Kunieda, Shigeru Ōae
openalex   +1 more source

Dimensionless Investigations on Energy Conversion and Analysis of Interlayer Time in Laser‐Based Powder Bed Fusion of Polymers for Polyamide 12 with Nanoadditives and Polypropylene

Advanced Engineering Materials, EarlyView.
This study explores the energy conversion in powder bed fusion of polymers using laser beam for polyamide 12 and polypropylene powders. It combines material and process data, using dimensionless parameters and numerical models, to enable the prediction of suitable printing parameters.
Christian Schlör, Moritz Grünewald, Kevin Popp, Ihsan Murat Kusoglu, Stephan Barcikowski, Stan Gann, Thomas Schuffenhauer, Martin Bastian, Claas Bierwisch, Johannes Rudloff   +9 more
wiley   +1 more source

CONCURRENT FIXED‐RATIO FIXED‐INTERVAL PERFORMANCES IN ADULT HUMAN SUBJECTS¹ [PDF]

, 1969
Richard M. Sanders
openalex   +1 more source