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Machine learning has digitalized heterogeneous catalysis from the top of the length scale downward: prediction at the atom and the material is now mature, yet the reactor and the process remain the open frontier. This critical review traces a decade of progress across the full catalytic value chain and asks where the next decade of impact must be won ...
Rafael Larraz, Avelino Corma
wiley +2 more sources
Lexical simplification in learner translation: A corpus-based approach
The advance of corpus-based methodology in translation studies has greatly enhanced our understanding of the nature of translational language. While most research efforts have focused on identifying the unique features of translations carried out by ...
Ho Ling KWOK, Sara LAVIOSA, Kanglong LIU
core
Secure Fusion‐X harmonizes unstructured NVD descriptions with structured CVSS/CWE/CPE metadata via decision‐level fusion, overcoming the fragility of traditional unimodal models. Automated assessment of software vulnerability exploitability is essential for intelligent cyber defense, yet its effectiveness is often hindered by unstable, delayed, or ...
Mona Dolati +3 more
wiley +1 more source
Bronchoscope Tip Localization With Learned Airway Constraints and an Open Source Simulator
BronchoLoc addresses feature‐poor bronchoscopic imaging by combining monocular video with a preoperative CT graph to estimate 3D camera location. A local tracker identifies candidate branches, while a sequence‐aware global module refines the trajectory. Demonstrating sub‐centimeter accuracy across synthetic and phantom datasets, this framework advances
Emanuele Nicotra +7 more
wiley +1 more source
Kinematic‐Aware Diffusion Model Correction for Human Motion Generation via Pose Transfer
Overall architecture of the proposed video kinematic pose correction pipeline. The framework integrates diffusion‐based video generation, multi‐estimator skeleton extraction, temporal Kalman smoothing, biomechanical constraint enforcement, and pose‐conditioned frame regeneration via Pose‐guided Image Synthesis and Editing. This paper presents Kinematic‐
Alaa Abdullah Albaghdadi +1 more
wiley +1 more source
Variability in learner corpora
Corpora and corpus-based methods can make a contribution to the study of variability in learner language for two main reasons. One reason is that the study of linguistic variation itself is particularly amenable to quantitative and corpus-based analysis.
Ädel, Annelie,
core
Skin‐conformal epidermal sensors enable camera‐free intelligent facial monitoring by converting facial deformation and muscle activity into electrical signals through piezoresistive, capacitive, electrophysiologic, and self‐powered mechanisms. Coupled with artificial intelligence (AI), these platforms support facial expression recognition, human ...
Jeehyun Joung +5 more
wiley +1 more source
A CORPUS-BASED STUDY OF CONNECTORS AND THEMATIC PROGRESSION IN THE ACADEMIC WRITING OF THAI EFL STUDENTS [PDF]
The objective of the current study is to compare how Thai EFL writers develop and express their oppositional ideas in arguments and to compare their use of oppositional connectors in arguments to those of published scholars in the field of health science.
CHANYOO, NATTHAPONG
core
Wearable sensors usually warn through sight or sound, channels that become unreliable under protective equipment or in noise. Reverse haptic alerting inverts this flow: Stimuli‐responsive materials convert chemical and biological signals into cues felt through the skin, while a machine‐learned digital twin of tactile perception personalizes the body ...
Hwanhee Yoo +5 more
wiley +1 more source
The Chinese and English Learner Language Corpus (CELL Corpus)
The Chinese and English Learner Language Corpus (referred to as ‘the CELL Corpus’ hereafter) is designed as a learner language corpus. The CELL Corpus, as a learner language corpus, is thus designed as a collection of text data chiefly composed of ...
Ge, E (via Mendeley Data), Ge, Haoyan
core +1 more source

