Results 71 to 80 of about 1,291,053 (287)

Soil Moisture Inversion Using Multi-Sensor Remote Sensing Data Based on Feature Selection Method and Adaptive Stacking Algorithm

open access: yesRemote Sensing
Soil moisture (SM) profoundly influences crop growth, yield, soil temperature regulation, and ecological balance maintenance and plays a pivotal role in water resources management and regulation.
Liguo Wang, Ya Gao
doaj   +1 more source

Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies

open access: yes, 2017
The goal of this paper is to propose novel strategies for adaptive learning of signals defined over graphs, which are observed over a (randomly time-varying) subset of vertices.
Banelli, Paolo   +4 more
core   +1 more source

Learning to learn with active adaptive perception [PDF]

open access: yesNeural Networks, 2019
Increasingly, autonomous agents will be required to operate on long-term missions. This will create a demand for general intelligence because feedback from a human operator may be sparse and delayed, and because not all behaviours can be prescribed. Deep neural networks and reinforcement learning methods can be applied in such environments but their ...
D.M. Bossens, N.C. Townsend, A.J. Sobey
openaire   +4 more sources

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

open access: yesAging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel   +4 more
wiley   +1 more source

Developmental Cajal-Retzius cell death contributes to the maturation of layer 1 cortical inhibition and somatosensory processing

open access: yesNature Communications
The role of developmental cell death in the formation of brain circuits is not well understood. Cajal-Retzius cells constitute a major transient neuronal population in the mammalian neocortex, which largely disappears at the time of postnatal ...
Angeliki Damilou   +10 more
doaj   +1 more source

Towards tailored online learning: Predicting learner profiles in an online learning environment with perceived needs satisfaction

open access: yesEducational Technology & Society
This study examined the relationship of learner profiles and the satisfaction of basic psychological needs among 109 undergraduate physics students participating in an online algebra training program.
Fei Gao, Rong Liu
doaj   +1 more source

Distributed Adaptive Learning of Graph Signals

open access: yes, 2017
The aim of this paper is to propose distributed strategies for adaptive learning of signals defined over graphs. Assuming the graph signal to be bandlimited, the method enables distributed reconstruction, with guaranteed performance in terms of mean ...
Banelli, P.   +3 more
core   +1 more source

Adaptive Intelligent Learning Environments [PDF]

open access: yes, 2017
Adaptive intelligent learning environments (AILE) seek to optimize the learning process for every individual learner. To this end, they create and maintain models of domain knowledge, instructional activities and the learners themselves. AILE is an active area of research that can be traced back to the 1970s.
Herder, Eelco   +2 more
openaire   +3 more sources

Hospital Readmission After Traumatic Brain Injury Hospitalization in Community‐Dwelling Older Adults

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the risk of hospital readmission after an index hospitalization for TBI in older adults. Methods Using data from the Atherosclerosis Risk in Communities (ARIC) study, we used propensity score matching of individuals with an index TBI‐related hospitalization to individuals with (1) non‐TBI hospitalizations (primary analysis)
Rachel Thomas   +7 more
wiley   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu   +11 more
wiley   +1 more source

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