Results 91 to 100 of about 81,862 (314)

Novel Metaknowledge-based Processing Technique for Multimedia Big Data clustering challenges

, 2015
Past research has challenged us with the task of showing relational patterns between text-based data and then clustering for predictive analysis using Golay Code technique. We focus on a novel approach to extract metaknowledge in multimedia datasets. Our
Bari, Nima, Berkovich, Simon Y., Kowsari, Kamran, Vichr, Roman   +3 more
core   +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

Distributed Semantic Analytics Using the SANSA Stack

, 2017
A major research challenge is to perform scalable analysis of large-scale knowledge graphs to facilitate applications like link prediction, knowledge base completion and reasoning. Analytics methods which exploit expressive structures usually do not scale well to very large knowledge bases, and most analytics approaches which do scale horizontally (i.e.
Lehmann, Jens, Sejdiu, Gezim, Bühmann, Lorenz, Westphal, Patrick, Stadler, Claus, Ermilov, Ivan, Bin, Simon, Chakraborty, Nilesh, Saleem, Muhammad, Ngonga Ngomo, Axel-Cyrille, Jabeen, Hajira   +10 more
openaire   +1 more source

A Novel Framework for RDF Schema Extraction in NoSQL Databases Using Sentence-BERT

IEEE Access
NoSQL databases, known for their flexibility and scalability, have become pivotal in handling diverse and unstructured data. However, their schema-less nature introduces significant challenges in metadata management, query optimization, and data ...
Saad Belefqih, Mohammed Barchane, Ahmed Zellou, El Habib Benlahmar   +3 more
doaj   +1 more source

Statistical metadata in knowledge discovery

Dyna, 2017
Metadata represents the semantic schema of the data collected over the years by an organization in order to apply the business intelligence approach.  However, the metadata normally collected are not enough to facilitate knowledge discovery processes ...
Claudia Jiménez Ramírez, Maria Edith Burke, Ivonne Rodríguez Flores   +2 more
doaj   +1 more source

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

A Formal Semantics For Data Analytics Pipelines

, 2017
https://arxiv.org/abs/1705 ...
Drocco, Maurizio, Misale, Claudia, Tremblay, Guy, Aldinucci, Marco   +3 more
openaire   +2 more sources

Smart Topic Miner: Supporting Springer Nature Editors with Semantic Web Technologies [PDF]

, 2016
Academic publishers, such as Springer Nature, annotate scholarly products with the appropriate research topics and keywords to facilitate the marketing process and to support (digital) libraries and academic search engines.
Birukou, Aliaksandr, Motta, Enrico, Osborne, Francesco, Salatino, Angelo   +3 more
core  

The lifecycle of provenance metadata and its associated challenges and opportunities

, 2016
This chapter outlines some of the challenges and opportunities associated with adopting provenance principles and standards in a variety of disciplines, including data publication and reuse, and information ...
Missier, Paolo
core   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source