Results 111 to 120 of about 304,629 (283)

MMR-based active machine learning for bio named entity recognition [PDF]

open access: bronze, 2006
Seokhwan Kim   +4 more
openalex   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

MULTITHREAD IN NAMED ENTITY RECOGNITION [PDF]

open access: yesInternational Journal of Intelligent Computing and Information Sciences, 2016
M. Rashed, Z. Rabea, M. Abu Elsoud
openaire   +1 more source

Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature

open access: yesAdvanced Intelligent Discovery, EarlyView.
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley   +1 more source

Tiling Robotics: A New Paradigm of Shape‐Morphing Reconfigurable Robots

open access: yesAdvanced Intelligent Systems, EarlyView.
Tiling robotics is a novel paradigm of shape‐morphing reconfigurable robots, defining them as polyform‐inspired machines capable of transforming between at least two polymorphic shapes. Various reconfiguration‐enabling and locomotion mechanisms of tiling robots are comparatively analyzed, with the electromechanical developments, along with a proposed ...
S. M. Bhagya P. Samarakoon   +2 more
wiley   +1 more source

Investigating Social Immunity in Swarming Locusts via a Triple Animal–Robot–Pathogen Hybrid Interaction

open access: yesAdvanced Intelligent Systems, EarlyView.
This study explores social immunity in gregarious locusts using a groundbreaking animal–robot–pathogen interaction model. By comparing locust responses to biomimetic agents mimicking healthy and infected individuals, significant behavioral changes are revealed.
Donato Romano, Cesare Stefanini
wiley   +1 more source

A Task and Motion Planning Framework for Partially Observable Household Manipulation Scenes

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper presents a novel TAMP framework tackling partial observability, cluttered scenes, and vague goals via symbolic reasoning and occlusion‐aware planning. It outperforms prior learning, policy, and LLM‐based methods in six real and simulated household tasks.
Yuhong Ma   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy