Results 71 to 80 of about 236,582 (260)
Using photoelectrochemical (PEC) deep denitrification technology, a novel synergistic reduction‐oxidation process enables efficient conversion of nitrate (NO3−) to nitrogen (N2), while suppressing key intermediate ammonium (NH4+) and toxic nitrite (NO2−) accumulation.
Yongjie Wang +11 more
wiley +1 more source
ABSTRACT Understanding how policy instruments with overlapping goals interact is crucial for leveraging their synergies. This study explores the mechanisms for regional nature parks (a form of protected areas that impose no restrictions on agriculture) to enhance the adoption of biodiversity‐conserving agri‐environment schemes (AES) in Switzerland ...
Yanbing Wang +3 more
wiley +1 more source
Blackboard Agents for Standard Arabic Language Tokenization and Parsing
The Processing of the Arabic language is a difficult mission comparing it with other languages. Because Sentences in Arabic language are complex, longer than the others in various languages, and have difficult structure with lattices.
Abdul Kareem Murhij Radhi
doaj
opXRD: Open Experimental Powder X‐Ray Diffraction Database
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek +23 more
wiley +1 more source
Dynamic Oracles for Top-Down and In-Order Shift-Reduce Constituent Parsing [PDF]
Daniel Fernández‐González +1 more
+5 more sources
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Deep Hierarchical Parsing for Semantic Segmentation
This paper proposes a learning-based approach to scene parsing inspired by the deep Recursive Context Propagation Network (RCPN). RCPN is a deep feed-forward neural network that utilizes the contextual information from the entire image, through bottom-up
Jacobs, David W. +2 more
core +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Grammar Systems and Parsing Based on Them [PDF]
Tato práce se věnuje problematice gramatických systémů. Definuje jak kooperující distribuované CD gramatické systémy, tak i paralelně komunikující PC gramatické systémy ve spojení s bezkontextovými gramatikami.
Handlíř, Jaroslav
core
Incremental Parser Generation for Tree Adjoining Grammars
This paper describes the incremental generation of parse tables for the LR-type parsing of Tree Adjoining Languages (TALs). The algorithm presented handles modifications to the input grammar by updating the parser generated so far.
Sarkar, Anoop
core +1 more source

