Results 151 to 160 of about 176,047 (281)

Music recommendation algorithms based on knowledge graph and multi-task feature learning

Scientific Reports
During music recommendation scenarios, sparsity and cold start problems are inevitable. Auxiliary information has been utilized in music recommendation algorithms to provide users with more accurate music recommendation results.
Xinqiao Liu, Zhisheng Yang, Jinyong Cheng   +2 more
doaj   +1 more source

Multimodal reasoning based on knowledge graph embedding for specific diseases. [PDF]

Bioinformatics, 2022
Zhu C, Yang Z, Xia X, Li N, Zhong F, Liu L.   +5 more
europepmc   +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

Enhancing drug-drug interaction prediction by three-way decision and knowledge graph embedding. [PDF]

Granul Comput, 2023
Hao X, Chen Q, Pan H, Qiu J, Zhang Y, Yu Q, Han Z, Du X.   +7 more
europepmc   +1 more source

Piezoresistivity Enhancement by Graphite Flake Alignment in Thin Composite Films for Dielectric Elastomer Switches

Advanced Robotics Research, EarlyView.
This article presents dielectric elastomer switch (DES) materials, based on composite thin films. Alignment of graphite flakes due to their physical confinement within the thin films lead to much stronger piezoresistive responses than bulk composites, while their durability exceeds that of conventional liquid‐based DES materials.
Lingyu Liu, Thomas Kister, Bart‐Jan Niebuur, Tobias Kraus   +3 more
wiley   +1 more source

Prediction of Drug-Target Interaction Using Dual-Network Integrated Logistic Matrix Factorization and Knowledge Graph Embedding. [PDF]

Molecules, 2022
Li J, Yang X, Guan Y, Pan Z.
europepmc   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Hashing-based semantic relevance attributed knowledge graph embedding enhancement for deep probabilistic recommendation. [PDF]

Appl Intell (Dordr), 2023
Khan N, Ma Z, Yan L, Ullah A.
europepmc   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

Prediction of adverse drug reactions based on knowledge graph embedding. [PDF]

BMC Med Inform Decis Mak, 2021
Zhang F, Sun B, Diao X, Zhao W, Shu T.
europepmc   +1 more source