Results 51 to 60 of about 69,965 (261)

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

Análisis jurídico sobre la operatividad de drones y su afectación al Derecho a la Intimidad en Ecuador

, 2020
El título de este trabajo es “Análisis jurídico sobre la operatividad de drones y su afectación al derecho a la intimidad en el Ecuador, el cual centra su interés en la situación jurídica derivada del uso de dichas aeronaves pilotadas a distancia y su ...
Mantilla Muñoz, Daniel Sebastián
core   +1 more source

Efficient Inter-Prediction Method Using Reference Frame Accumulation for MPEG G-PCC

IEEE Access
This paper presents a novel hybrid reference frame generation method to enhance the inter-prediction performance of geometry-based point cloud compression (G-PCC), a recent point cloud coding standard developed by the moving picture experts group (MPEG ...
Xin Li, Eun-Young Chang, Jihun Cha, Euee S. Jang   +3 more
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Enabling Drone Services: Drone Crowdsourcing and Drone Scripting

IEEE Access, 2019
Drones are rapidly finding their way into civilian applications, and are mostly networked, enabling their remote programming, and connectivity with humans.
Majed Alwateer, Seng W. Loke, Niroshinie Fernando   +2 more
doaj   +1 more source

Drones civiles [PDF]

, 2019
Los drones han encontrado una vasta cantidad de aplicaciones en diferentes sectores. Ya no se limitan a usos militares; diferentes empresas están invirtiendo ahora en estos dispositivos para un servicio al cliente más rápido y receptivo.
Del Solar Vergara, Eduardo Alejandro
core  

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

Opportunities and Challenges of Drones and Internet of Drones in Healthcare Supply Chains un-der Disruption [PDF]

This study investigates the use of drones and the Internet of Drones (IoDs) in healthcare supply chains (HSCs), highlighting the opportunities and challenges of integrating them to respond to disruptions, an area that is currently under-examined in ...
Sarker, S., Garza-Reyes, J.A., Chamola, V., Bilal, M., Pacheco, D.   +4 more
core   +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

Designing socially assistive robots for clinical practice: insights from an asynchronous remote community of speech-language pathologists

Frontiers in Robotics and AI
IntroductionSocially Assistive Robots (SARs) hold promise for augmenting speech-language therapy by addressing high caseloads and enhancing child engagement. However, many implementations remain misaligned with clinician practices and overlook expressive
Denielle Oliva, Abbie Olszewski, Shekoufeh Sadeghi, Karthik Dantu, David Feil-Seifer   +4 more
doaj   +1 more source