Results 71 to 80 of about 733,862 (315)
Early Impact of Childhood Opportunity on Neurocognitive Outcomes in Sickle Cell Disease
ABSTRACT Introduction Neurocognitive impairment is a well‐recognized complication of sickle cell disease (SCD) that begins early in childhood and persists across development. While cerebrovascular injury contributes substantially to risk, neurocognitive deficits are also observed in children without overt or silent cerebral infarctions, suggesting ...
Julia E. LaMotte +5 more
wiley +1 more source
Role of pattern recognition and search in expert decision making [PDF]
Recently, proponents of the predominant role of search processes have collected data aiming at undermining the importance of pattern recognition. In particular, Chabris and Hearst (2003), using data from rapid chess and blindfold chess, have questioned ...
Gobet, Fernand, Gobet, F
core
Bilinear programming for human activity recognition with unknown MRF graphs [PDF]
Markov Random Fields (MRFs) have been successfully applied to human activity modelling, largely due to their ability to model complex dependencies and deal with local uncertainty.
Qinfeng Shi +7 more
core +1 more source
Robot movement planning for obstacle avoidance using reinforcement learning
In modern industrial and laboratory environments, robotic arms often operate in complex, cluttered spaces. Ensuring reliable obstacle avoidance and efficient motion planning is therefore essential for safe performance.
Linda-Sophie Schneider +2 more
doaj +1 more source
ABSTRACT Background Pediatric bone sarcoma patients and survivors may experience psychosocial challenges related to childhood cancer after their intensive, body‐altering treatment. This cross‐sectional study aimed to evaluate generic and survivor‐specific psychosocial outcomes in a national cohort of pediatric bone sarcoma patients and survivors, and ...
Hinke van der Hoek +14 more
wiley +1 more source
Improving gaussian processes classification by spectral data reorganizing [PDF]
We improve Gaussian processes (GP) classification by reorganizing the (non-stationary and anisotropic) data to better fit to the isotropic GP kernel. First, the data is partitioned into two parts: along the feature with the highest frequency bandwidth ...
Suter, D. +3 more
core +1 more source
Graph Regularized Within-Class Sparsity Preserving Projection for Face Recognition
As a dominant method for face recognition, the subspace learning algorithm shows desirable performance. Manifold learning can deal with the nonlinearity hidden in the data, and can project high dimensional data onto low dimensional data while preserving
Songjiang Lou +3 more
doaj +1 more source
Immunity is based on self/nonself discrimination. In vertebrates, two major systems, innate and adaptive immune systems, constitute host defense against invading microbes. Adaptive immunity is characterized by specific immune responses through B- or T-cell antigen receptors that are generated by somatic recombination, whereas nonspecific responses to ...
Takaya, Hayashi +2 more
openaire +3 more sources
ABSTRACT Background Adolescents with haematological malignancies face significant emotional and relational challenges, often accompanied by difficulties in communicating their needs within the healthcare context. To address these issues, a narrative‐based psycho‐educational intervention based on the creation and prescription of Ironic Medications was ...
Marta Stoppa +7 more
wiley +1 more source
On deformable models for visual pattern recognition [PDF]
This paper reviews model-based methods for non-rigid shape recognition. These methods model, match and classify non-rigid shapes, which are generally problematic for conventional algorithms using rigid models.
Yeung, Dit Yan +5 more
core +1 more source

