The role of executive functions in fluent reading: Lessons from reading acquisition and remediation

T Horowitz‐Kraus - Mind, Brain, and Education, 2023 - Wiley Online Library
This review paper aims to define the involvement of Executive Functions (EF) in reading
fluency in typically developing children and those with reading difficulties (RD)/dyslexia …

Self-adaptive temperature and humidity compensation based on improved deep BP neural network for NO2 detection in complex environment

Z Wang, C Xie, B Liu, Y Jiang, Z Li, H Tai, X Li - Sensors and Actuators B …, 2022 - Elsevier
The accuracy and reliability of gas sensor are directly by temperature and humidity. In this
study, an improved deep Back Propagation (BP) neural network was designed to lower the …

Detection of retinopathy disease using morphological gradient and segmentation approaches in fundus images

M Toğaçar - Computer Methods and Programs in Biomedicine, 2022 - Elsevier
Background and objective Diabetes-related cases can cause glaucoma, cataracts, optic
neuritis, paralysis of the eye muscles, or various retinal damages over time. Diabetic …

Incremental specialized and specialized-generalized matrix factorization models based on adaptive learning rate optimizers

AD Viniski, JP Barddal, A de Souza Britto Jr… - Neurocomputing, 2023 - Elsevier
Recommender systems suggest items that are likely to be preferred by a particular user
based on historical behavior, actions, and feedback. In real-world applications, data on …

Classification of freshwater fish diseases in Bangladesh using a novel ensemble deep learning model: Enhancing accuracy and interpretability

A Al Maruf, SH Fahim, R Bashar, RA Rumy… - IEEE …, 2024 - ieeexplore.ieee.org
Effective disease management and mitigation strategies for fish diseases depend on timely
and accurate diagnosis. In recent years, artificial intelligence methods—classification …

Modellierung komplexer Prozesse durch naturanaloge Verfahren

C Klüver, J Klüver, J Schmidt - Soft Computing und verwandte Techniken, 2012 - Springer
Die aktuellen Entwicklungen unter dem Oberbegriff „Künstliche Intelligenz “sind rasant und
kaum noch überschaubar. Waren die von uns beschriebenen (hybriden) Modelle vor …

Deep representation clustering of multi-type damage features based on unsupervised generative adversarial network

X Li, FL Zhang, J Lei, W Xiang - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Damage identification based on deep learning has become a hot topic recently. Damage
identification and classification methods based on neural networks are much concerned …

On the regressand noise problem: Model robustness and synergy with regression-adapted noise filters

J Martín, JA Sáez, E Corchado - IEEE Access, 2021 - ieeexplore.ieee.org
This research focuses on analyzing the robustness of different regression paradigms under
regressand noise, which has not been examined in depth in the specialized literature …

Performance Analysis of first order optimizers for plant pest detection using deep learning

T Saranya, C Deisy, S Sridevi, KS Muthu… - … Conference on Machine …, 2022 - Springer
Several of the major issues affecting food productivity are a pest. The timely and precise
detection of plant pests is crucial for avoiding the loss of agricultural productivity. Only by …

[HTML][HTML] 低剂量CT 图像重建算法对脑出血检测性能的影响

符帅, 李明强, 边兆英, 马建华 - Journal of Southern Medical …, 2022 - ncbi.nlm.nih.gov
低剂量CT图像重建算法对脑出血检测性能的影响- PMC Back to Top Skip to main content NIH
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