Results 101 to 110 of about 2,278,765 (289)
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Knowledge based Learning Experience Management on the Semantic Web [PDF]
Learners engaged in informal learning tasks often find sharing their learning experience to be helpful. Informally, a learning experience describes what a learner has done, with what learning resources.
Zalfan, M. +8 more
core +1 more source
Adopción de enfoque API-First: Caso de estudio
API-First es un enfoque de desarrollo de software emergente que promueve situar a las APIs web en el centro del diseño de software, permitiendo que los equipos de desarrollo trabajen en ellas antes que en el resto de las aplicaciones.
Gustavo Guanuco +2 more
doaj +1 more source
The Interoperability Challenge in DFT Workflows Across Implementations
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
Web 3.0 presents challenges in efficient data exchange, especially in decentralized systems. REST API (HTTP/1.1) remains widely used due to its broad compatibility but has communication inefficiencies, while gRPC (HTTP/2) offers better performance with ...
Moch. Zukhruf Ain +4 more
doaj +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
The Beytepe Campus Map: A Mashup Application [PDF]
Many universities have developed interactive and web-based campus maps. The spatial features of Geographical Information Systems (GIS) are usually incorporated in such maps, thereby facilitating visual searches.
Akbulut, Müge, Çare, Begüm
core +1 more source
IJIMAI Editor's Note - Vol. 3 Issue 5
The research works presented in this issue are based on various topics of interest, among which are included: DSL, Machine Learning, Information hiding, Steganography, SMA, RTECTL, SMT-based bounded model checking, STS, Spatial sound, X3D, X3DOM, Web ...
Rubén González Crespo
doaj +1 more source
Objectives and Key Results–Driven Multiagent Framework for Mechanical Design and Simulation
Objectives and key results (OKR)‐agent, an OKR‐driven multiagent framework, turns a plain‐language engineering goal into completed mechanical simulations. Three peer agents—supervisor, modeler, and simulator—share a compact board of OKR and coordinate external molecular dynamics (MD) and finite‐element solvers through a standardized tool interface. The
Jie Tian +10 more
wiley +1 more source
Non Audio Signal Processing with the Web Audio API
Presented at the 2nd Web Audio Conference (WAC), April 4-6, 2016, Atlanta, Georgia.I recently ported a Shazam-like application to create and compare fingerprints of audio files from Python to JavaScript.
Guttandin, Christoph
core +1 more source

