Results 41 to 50 of about 1,532,491 (274)
AerospaceUnderstanding rock hardness on extraterrestrial planets offers valuable insights into planetary geological evolution. Rock hardness correlates with morphological parameters, which can be extracted from navigation images, bypassing the time and cost of ...
Shuyun Liu +7 more
doaj +1 more source
Meta learning of bounds on the Bayes classifier error
, 2015 Meta learning uses information from base learners (e.g. classifiers or estimators) as well as information about the learning problem to improve upon the performance of a single base learner.
Delouille, Veronique +2 more
core +1 more source
FEBS Open Bio, EarlyView.What factors make for an effective digital learning tool in Higher Education? This systematic review identifies elements of a digital tool that published examples reveal to be features of an engaging and impactful digital tool. A systematic literature search yielded 25 research papers for analysis.
Akmal Arzeman +4 more
wiley +1 more source
Multi-Type Structural Damage Image Segmentation via Dual-Stage Optimization-Based Few-Shot Learning
Smart CitiesThe timely and accurate recognition of multi-type structural surface damage (e.g., cracks, spalling, corrosion, etc.) is vital for ensuring the structural safety and service performance of civil infrastructure and for accomplishing the intelligent ...
Jiwei Zhong +4 more
doaj +1 more source
MW-MADDPG: a meta-learning based decision-making method for collaborative UAV swarm
Frontiers in Neurorobotics, 2023 Unmanned Aerial Vehicles (UAVs) have gained popularity due to their low lifecycle cost and minimal human risk, resulting in their widespread use in recent years.
Minrui Zhao +7 more
doaj +1 more source
Clinically Relevant Outcome Measures in Women With Adrenoleukodystrophy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Adrenoleukodystrophy is a rare inherited peroxisomal disease caused by pathogenic variants in the ABCD1 gene located on the X chromosome. Although the most severe central nervous system and adrenal complications typically affect only men with adrenoleukodystrophy, the majority of women develop myeloneuropathy symptoms in adulthood.
Chenwei Yan +3 more
wiley +1 more source
Homeostasis-Inspired Continual Learning: Learning to Control Structural Regularization
IEEE Access, 2021 Learning continually without forgetting might be one of the ultimate goals for building artificial intelligence (AI). However, unless there are enough resources equipped, forgetting knowledge acquired in the past is inevitable.
Joonyoung Kim +3 more
doaj +1 more source
Open-world Learning and Application to Product Classification
, 2019 Classic supervised learning makes the closed-world assumption, meaning that classes seen in testing must have been seen in training. However, in the dynamic world, new or unseen class examples may appear constantly. A model working in such an environment
Liu, Bing, Shu, Lei, Xu, Hu, Yu, P.
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Progressive Supranuclear Palsy (PSP) is a neurodegenerative ‘tauopathy’ with predominating pathology in the basal ganglia and midbrain. Caudal tau spread frequently implicates the cerebellum; however, the pattern of atrophy remains equivocal.
Chloe Spiegel +8 more
wiley +1 more source
Arthritis Care &Research, EarlyView.This review summarizes artificial intelligence (AI)‐supported nonpharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies describing AI‐supported interventions for adults with chronic rheumatic diseases.
Nirali Shah +5 more
wiley +1 more source