An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, frailty and cardiovascular aging
While many diseases of aging have been linked to the immunological system, immune
metrics capable of identifying the most at-risk individuals are lacking. From the blood …
metrics capable of identifying the most at-risk individuals are lacking. From the blood …
The devil is in the channels: Mutual-channel loss for fine-grained image classification
The key to solving fine-grained image categorization is finding discriminate and local
regions that correspond to subtle visual traits. Great strides have been made, with complex …
regions that correspond to subtle visual traits. Great strides have been made, with complex …
Deep learning for biological age estimation
S Ashiqur Rahman, P Giacobbi, L Pyles… - Briefings in …, 2021 - academic.oup.com
Modern machine learning techniques (such as deep learning) offer immense opportunities
in the field of human biological aging research. Aging is a complex process, experienced by …
in the field of human biological aging research. Aging is a complex process, experienced by …
Multiple feature reweight densenet for image classification
Recent network research has demonstrated that the performance of convolutional neural
networks can be improved by introducing a learning block that captures spatial correlations …
networks can be improved by introducing a learning block that captures spatial correlations …
AP-CNN: Weakly supervised attention pyramid convolutional neural network for fine-grained visual classification
Classifying the sub-categories of an object from the same super-category (eg, bird species
and cars) in fine-grained visual classification (FGVC) highly relies on discriminative feature …
and cars) in fine-grained visual classification (FGVC) highly relies on discriminative feature …
UAV autonomous target search based on deep reinforcement learning in complex disaster scene
In recent years, artificial intelligence has played an increasingly important role in the field of
automated control of drones. After AlphaGo used Intensive Learning to defeat the World Go …
automated control of drones. After AlphaGo used Intensive Learning to defeat the World Go …
Comprehensive analysis of the literature for age estimation from facial images
AS Al-Shannaq, LA Elrefaei - IEEE Access, 2019 - ieeexplore.ieee.org
Recently, vast attention has grown in the field of computer vision, especially in face
recognition, detection, and facial landmarks localization. Many significant features can be …
recognition, detection, and facial landmarks localization. Many significant features can be …
Robust recurrent neural networks for time series forecasting
X Zhang, C Zhong, J Zhang, T Wang, WWY Ng - Neurocomputing, 2023 - Elsevier
Recurrent neural networks (RNNs) are widely utilized in time series forecasting tasks. In
practical applications, there are noises in real-life time series data. A model's generalization …
practical applications, there are noises in real-life time series data. A model's generalization …
Vehicle detection and classification using distributed fiber optic acoustic sensing
H Liu, J Ma, T Xu, W Yan, L Ma… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper presents a vehicle detection and classification system using distributed fiber-
optic acoustic sensing (DAS) technology and describes a comprehensive classification …
optic acoustic sensing (DAS) technology and describes a comprehensive classification …
Masked contrastive graph representation learning for age estimation
Age estimation of face images is a crucial task with various practical applications in areas
such as video surveillance and Internet access control. While deep learning-based age …
such as video surveillance and Internet access control. While deep learning-based age …