Results 111 to 120 of about 304,629 (283)
MMR-based active machine learning for bio named entity recognition [PDF]
Seokhwan Kim+4 more
openalex +1 more source
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]
M. Rashed, Z. Rabea, M. Abu Elsoud
openaire +1 more source
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
A Hidden Markov Model Based Named Entity Recognition System: Bengali and Hindi as Case Studies [PDF]
Asif Ekbal, Sivaji Bandyopadhyay
openalex +1 more source
Tiling Robotics: A New Paradigm of Shape‐Morphing Reconfigurable Robots
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
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
OSIRISv1.2: A named entity recognition system for sequence variants of genes in biomedical literature [PDF]
Laura I. Furlong+3 more
openalex +1 more source
A Task and Motion Planning Framework for Partially Observable Household Manipulation Scenes
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
Cascaded classifiers for confidence-based chemical named entity recognition [PDF]
Peter Corbett, Ann Copestake
openalex +1 more source