Results 71 to 80 of about 476,390 (273)

Error Correction for Dense Semantic Image Labeling

, 2017
Pixelwise semantic image labeling is an important, yet challenging, task with many applications. Typical approaches to tackle this problem involve either the training of deep networks on vast amounts of images to directly infer the labels or the use of ...
Georgoulis, Stamatios, Huang, Yu-Hui, Jia, Xu, Tuytelaars, Tinne, Van Gool, Luc   +4 more
core   +1 more source

Material Preparation Information File (MPIF): A Community‐Driven Standard for Reporting MOF Syntheses

Advanced Materials, EarlyView.
The Material Preparation Information File (MPIF) establishes a universal, community‐driven format for documenting the synthesis of metal–organic frameworks and related materials. By capturing complete, machine‐readable synthesis and characterization details, MPIF enhances reproducibility, supports FAIR data sharing, and bridges experimental chemistry ...
Ocean Cheung, Shun Tokuda, Damian Jędrzejowski, Evelyn Ploetz, Bettina Baumgartner, Marzena Pander, Fengxu Yang, Jack D. Evans, Romy Ettlinger, Stefan Wuttke, Dariusz Matoga   +10 more
wiley   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

Advanced Robotics Research, EarlyView.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang, Zhipeng Jiang, Sun Hwa Kwon, Matthew Ibrahim, Alexander Dang, Lin Dong   +5 more
wiley   +1 more source

Analysis and Semantic Mining in Heterogeneous Information Network

Dianxin kexue, 2015
Heterogeneous information network（HIN），which is composed of different types of objects and links，has gradually become a hot topic in social network analysis.As a unique characteristic of HIN，meta path contains rich semantic information.Heterogeneous ...
Rui Wang, Zhiqiang Zhang, Chuan Shi
doaj   +2 more sources

Dynamics of Culture Frames in International News Coverage: A Semantic Network Analysis

International Journal of Communication, 2016
A semantic network analysis was conducted to investigate how national political culture shapes news frames for international political coverage. Specifically, the Associated Press framed the Arab Spring as a process of pursuing democracy, a core value ...
Ke Jiang, George A. Barnett, Laramie D. Taylor   +2 more
doaj  

Towards Analyzing Semantic Robustness of Deep Neural Networks

, 2019
Despite the impressive performance of Deep Neural Networks (DNNs) on various vision tasks, they still exhibit erroneous high sensitivity toward semantic primitives (e.g. object pose). We propose a theoretically grounded analysis for DNN robustness in the
A Fawzi, AH Stroud, AN Bhagoji, CM Bishop, G An, RG Ródenas, T Dreossi, Y Grandvalet   +7 more
core   +1 more source

Open Semantic Service Networks: Modeling and Analysis [PDF]

, 2013
A new interesting research area is the representation and analysis of the networked economy using Open Semantic Service Networks (OSSN). OSSN are represented using the service description language USDL to model nodes and using the service relationship model OSSR to model edges.
Cardoso, J., Pedrinaci, C., De Leenheer, P.G.M.   +2 more
openaire   +2 more sources

Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space

Advanced Robotics Research, EarlyView.
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo, Jiahui Zhang, Yimin Han, Ji Ma, Minghao Lu, Ioannis Havoutis, Peng Lu   +6 more
wiley   +1 more source

Using ontology engineering for understanding needs and allocating resources in web-based industrial virtual collaboration systems [PDF]

, 2014
In many interactions in cross-industrial and inter-industrial collaboration, analysis and understanding of relative specialist and non-specialist language is one of the most pressing challenges when trying to build multi-party, multi-disciplinary ...
Bal, Jay, Issa, Ahmad, Ma, Xiao
core