Results 71 to 80 of about 10,154 (303)

Causal Reasoning in Multi-Object Interaction on the Traffic Scene: Occlusion-Aware Prediction of Visibility Fluent

IEEE Access, 2020
Occlusion caused by multi-object interaction makes the traffic scene understanding intractable. In this paper, we focus on predicting the visibility status of vehicle in the framework of causality perception.
Xuanpeng Li, Qifan Xue, Jingwen Zhao, Dong Wang   +3 more
doaj   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

CREAT: A CRISPR‐Based Genome Trimming Strategy for Systematic Identification of Dispensable Regions and Rapid Genome Reduction

Advanced Science, EarlyView.
Current genome‐reduction methods work in a trial‐and‐error fashion, constituting a long‐standing bottleneck in the research. We developed CREAT (CRISPR‐based genome trimming with a multi‐homology‐arm template), a CRISPR‐based genetic approach that enables systematically classifying essential versus non‐essential genomic regions and subsequently ...
Guanhua Yuan, Zhe Gao, Yingxuan Qi, Yang Zhang, Xuhui Tian, Pengpeng Zhao, Xu Feng, Qunxin She   +7 more
wiley   +1 more source

Summary 2: Graph Grammar Verification through Abstraction [PDF]

, 2005
Until now there have been few contributions concerning the verification of graph grammars, specifically of infinite-state graph grammars. This paper compares two existing approaches, based on abstractions of graph transformation systems.
Rensink, Arend, König, Barbara, Baldan, Paolo   +2 more
core   +1 more source

On Graph Grammars and Games

CoRR
Graph grammars form an interesting area of research because of their versatility in modelling diverse situations with graphs as the structures which are to be manipulated. A new class of graph grammars, nc-eNCE Graph Grammars has been introduced recently with an aim of restricting the order of application of graph production rules, thereby generating ...
Jayakrishna Vijayakumar, Lisa Mathew
openaire   +2 more sources

A Phase‐Resolved Geometric Deep Learning Framework Maps Structural Determinants of Disease‐Associated Protein Aggregation and Guides Suppressor Design

Advanced Science, EarlyView.
SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio, Wei Xuan Wilson Loo, Yan Shan Loo, Wen Xin Tan, Hui Xuan Lim, Huitao Liu, Chen Seng Ng   +6 more
wiley   +1 more source

Learning non-confluent NLC graph grammar rules [PDF]

, 2009
Grammar inference deals with determining (preferable simple) models/grammars consistent with a set of observations. There is a large body of research on grammar inference within the theory of formal languages.
Blockeel, Hendrik, Brijder, Robert
core   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Graph Grammar Based RDF Benchmarking System [PDF]

, 2017
In this thesis, we propose a graph grammar based RDF (Resource Description Framework) benchmarking system. We generate the graphs based on two types of graph grammars, Generalized Node Replacement Recursive Graph Grammar (GNRR) and Generalized Edge ...
Xu, Jiaping
core  

Hierarchical graph-based method for static daylight prediction of 3D irregular office buildings [PDF]

E3S Web of Conferences
Efficient daylight prediction in geometrically complex office buildings remains challenging due to computational constraints and oversimplified representations in existing methods.
Yu Zhexuan, Li Yihui, Xiao Jun, Zhou Hao, Lin Borong   +4 more
doaj   +1 more source