Results 141 to 150 of about 224,550 (312)
Advanced Intelligent Systems, EarlyView.This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
Probabilistic (logic) programming: Opportunities and challenges [PDF]
, 2015 Angelika Kimmig
openalex
SciLitMiner: An Intelligent System for Scientific Literature Mining and Knowledge Discovery
Advanced Intelligent Systems, EarlyView.SciLitMiner is an intelligent system that federately ingests scientific literature, filters it using advanced information retrieval methods, and applies retrieval‐augmented generation tailored to scientific domains. Demonstrated on creep deformation in γ‐TiAl alloys, SciLitMiner provides a controlled workflow for systematic knowledge discovery and ...
Vipul Gupta +3 more
wiley +1 more source
Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach
, 2014 William Yang Wang +3 more
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Universal Entanglement and an Information‐Complete Quantum Theory
Advanced Physics Research, EarlyView.This Perspective summarize an informationcomplete quantum theory which describes a fully quantum world without any classical systems and concepts. Here spacetime/gravity, having to be a physical quantum system, universally entangles matter (matter fermions and their gauge fields) as an indivisible trinity, and encodes information‐complete physical ...
Zeng‐Bing Chen
wiley +1 more source
Archaeological Prospection, EarlyView.ABSTRACT This study presents a strong framework for the detection and classification of Submerged Cultural Heritage Assets (SCHA) in shallow marine environments using the integration of multibeam echosounder and airborne LiDAR bathymetry with object‐based image analysis and fuzzy logic–based classification.
Łukasz Janowski +4 more
wiley +1 more source
Bandit-based Monte-Carlo structure learning of probabilistic logic programs [PDF]
, 2015 Nicola Di Mauro +2 more
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Anatomical Sciences Education, Volume 18, Issue 3, Page 289-300, March 2025.Abstract It is likely existing anatomical illustrations are often used as the basis for new illustrative works, given not all illustrators have access to human tissues, bodies, or prosections on which to base their illustrations. Potential issues arise with this practice in the realms of copyright infringement and plagiarism when authors are seeking to
Jon Cornwall +7 more
wiley +1 more source
PASOCS: A Parallel Approximate Solver for Probabilistic Logic Programs under the Credal Semantics [PDF]
, 2021 David Tuckey +2 more
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Tractable Probabilistic Description Logic Programs
, 2007 We propose tractable probabilistic description logic programs (or probabilistic dl-programs) for the Semantic Web, which combine tractable description logics, normal programs under the answer set semantics, and probabilities. In particular, we introduce the total well-founded semanticsfor probabilistic dl-programs.
openaire +2 more sources