Deep Convolutional Neural Network Architectures for Tonal Frequency Identification in a Lofargram
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Control, Automation and Systems"
DOI: 10.1007/s12555-019-1014-4
Abstract: Advances in convolutional neural networks (CNNs) have driven the development of computer vision. Recent CNN architectures, such as those with skip residual connections (ResNets) or densely connected architectures (DenseNets), have facilitated backpropagation and improved the… read more here.
Keywords: neural network; deep convolutional; network architectures; cnn ... See more keywords
Hyperconnected molecular glass network architectures with exceptional elastic properties
Sign Up to like & getrecommendations! Published in 2017 at "Nature Communications"
DOI: 10.1038/s41467-017-01305-w
Abstract: Hyperconnected network architectures can endow nanomaterials with remarkable mechanical properties that are fundamentally controlled by designing connectivity into the intrinsic molecular structure. For hybrid organic–inorganic nanomaterials, here we show that by using 1,3,5 silyl benzene… read more here.
Keywords: stiffness; network; glass; hyperconnected molecular ... See more keywords
Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-42557-4
Abstract: Automated diagnosis of tuberculosis (TB) from chest X-Rays (CXR) has been tackled with either hand-crafted algorithms or machine learning approaches such as support vector machines (SVMs) and convolutional neural networks (CNNs). Most deep neural network… read more here.
Keywords: network; efficient deep; visualization; tuberculosis ... See more keywords
Evolution of ribosomal protein network architectures
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-020-80194-4
Abstract: To perform an accurate protein synthesis, ribosomes accomplish complex tasks involving the long-range communication between its functional centres such as the peptidyl transfer centre, the tRNA bindings sites and the peptide exit tunnel. How information… read more here.
Keywords: protein; network; protein network; evolution ribosomal ... See more keywords
SIGNETS: Neural Network Architectures for m-QAM Soft Demodulation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3586043
Abstract: This paper presents a novel approach to Quadrature Amplitude Modulation (QAM) demodulation using neural networks, addressing the limitations of traditional demodulation techniques in complex channel conditions. Through systematic Neural Architecture Search and Hyper-parameter optimization, we… read more here.
Keywords: architectures qam; network architectures; signets neural; demodulation ... See more keywords
The Evolution of Convolutional Neural Network Architectures: A Review
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3631774
Abstract: Convolutional Neural Networks (CNNs) are one of the most important and successful algorithmic architectures in deep learning, especially effectively in processing data with a grid-like topological structure. Over the past decade, CNNs have demonstrated exceptional… read more here.
Keywords: convolutional neural; evolution convolutional; cnns; network architectures ... See more keywords
LoNAS: Low-Cost Neural Architecture Search Using a Three-Stage Evolutionary Algorithm [Research Frontier]
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Computational Intelligence Magazine"
DOI: 10.1109/mci.2023.3245799
Abstract: Neural architecture search (NAS) has been widely studied to design high-performance network architectures automatically. However, existing approaches require more search time and substantial resource consumption due to their intensive architecture evaluations. Moreover, recently developed NAS… read more here.
Keywords: network architectures; low cost; architecture; search ... See more keywords
Network Architectures for Demanding 5G Performance Requirements: Tailored Toward Specific Needs of Efficiency and Flexibility
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Vehicular Technology Magazine"
DOI: 10.1109/mvt.2019.2904185
Abstract: The fifth generation (5G) of mobile networks is envisioned to support new applications having demanding requirements, such as low latency and high reliability, which is the focus of this article along with enhanced traditional mobile… read more here.
Keywords: demanding performance; network architectures; low latency; performance requirements ... See more keywords
A comparative study of neural network architectures for vital signs monitoring based on the national early warning systems (NEWS)
Sign Up to like & getrecommendations! Published in 2025 at "Health Informatics Journal"
DOI: 10.1177/14604582251338176
Abstract: Objective: The study aims to assess the efficacy of various neural network architectures in predicting the National Early Warning Systems (NEWS) score, using vital signs, to enhance early warning and monitoring in clinical settings. Methods:… read more here.
Keywords: news; early warning; network architectures; study ... See more keywords
A Survey on Symmetrical Neural Network Architectures and Applications
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14071391
Abstract: A number of modern techniques for neural network training and recognition enhancement are based on their structures’ symmetry. Such approaches demonstrate impressive results, both for recognition practice, and for understanding of data transformation processes in… read more here.
Keywords: network architectures; neural network; survey symmetrical; symmetrical neural ... See more keywords