Automatic COVID-19 detection using exemplar hybrid deep features with X-ray images
COVID-19 and pneumonia detection using medical images is a topic of immense interest in
medical and healthcare research. Various advanced medical imaging and machine learning …
medical and healthcare research. Various advanced medical imaging and machine learning …
Dynamic Moore–Penrose inversion with unknown derivatives: Gradient neural network approach
Finding dynamic Moore–Penrose inverses (DMPIs) in real-time is a challenging problem
due to the time-varying nature of the inverse. Traditional numerical methods for static Moore …
due to the time-varying nature of the inverse. Traditional numerical methods for static Moore …
Hierarchical program-triggered reinforcement learning agents for automated driving
B Gangopadhyay, H Soora… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Recent advances in Reinforcement Learning (RL) combined with Deep Learning (DL) have
demonstrated impressive performance in complex tasks, including autonomous driving. The …
demonstrated impressive performance in complex tasks, including autonomous driving. The …
Hybrid deep feature generation for appropriate face mask use detection
Mask usage is one of the most important precautions to limit the spread of COVID-19.
Therefore, hygiene rules enforce the correct use of face coverings. Automated mask usage …
Therefore, hygiene rules enforce the correct use of face coverings. Automated mask usage …
Deep fusion of gray level co-occurrence matrices for lung nodule classification
A Saihood, H Karshenas, ARN Nilchi - Plos one, 2022 - journals.plos.org
Lung cancer is a serious threat to human health, with millions dying because of its late
diagnosis. The computerized tomography (CT) scan of the chest is an efficient method for …
diagnosis. The computerized tomography (CT) scan of the chest is an efficient method for …
Mrbert: Pre-training of melody and rhythm for automatic music generation
S Li, Y Sung - Mathematics, 2023 - mdpi.com
Deep learning technology has been extensively studied for its potential in music, notably for
creative music generation research. Traditional music generation approaches based on …
creative music generation research. Traditional music generation approaches based on …
Discrete gradient-zeroing neural dynamics for future Moore–Penrose inverse with application to tracking control of manipulator
To handle the future Moore–Penrose inverse problem effectively, the continuous gradient-
zeroing neural dynamics (CGZND) model without inverse computing is proposed via …
zeroing neural dynamics (CGZND) model without inverse computing is proposed via …
Multimodal moore–penrose inverse-based recomputation framework for big data analysis
Most multilayer Moore–Penrose inverse (MPI)-based neural networks, such as deep random
vector functional link (RVFL), are structured with two separate stages: unsupervised feature …
vector functional link (RVFL), are structured with two separate stages: unsupervised feature …
Fast transfer learning method using random layer freezing and feature refinement strategy
Recently, Moore-Penrose inverse (MPI)-based parameter fine-tuning of fully connected (FC)
layers in pretrained deep convolutional neural networks (DCNNs) has emerged within the …
layers in pretrained deep convolutional neural networks (DCNNs) has emerged within the …
HKPM: A hierarchical key-area perception model for HFSWR maritime surveillance
High-frequency surface wave radar (HFSWR) has become the cornerstone of maritime
surveillance because of its low-cost maintenance and coverage of wide area. However …
surveillance because of its low-cost maintenance and coverage of wide area. However …