A review of deep learning-based approaches for detection and diagnosis of diverse classes of drugs
Artificial intelligence-based drug discovery has gained attention lately since it drastically cuts
the time and money needed to produce new treatments. In recent years, a vast quantity of …
the time and money needed to produce new treatments. In recent years, a vast quantity of …
Comprehensive performance assessment of deep learning models in early prediction and risk identification of chronic kidney disease
The incidence of chronic kidney disease (CKD) is rising rapidly around the globe.
Asymptomatic CKD is common and guideline-directed monitoring to predict CKD by various …
Asymptomatic CKD is common and guideline-directed monitoring to predict CKD by various …
Low complexity neural network equalization based on multi-symbol output technique for 200+ Gbps IM/DD short reach optical system
Nowadays, Neural network (NN) has been proved to be an effective solution for nonlinear
equalization in short reach optical systems. However, recent research has mainly focused …
equalization in short reach optical systems. However, recent research has mainly focused …
Performance and complexity analysis of bi-directional recurrent neural network models versus volterra nonlinear equalizers in digital coherent systems
S Deligiannidis, C Mesaritakis… - Journal of Lightwave …, 2021 - opg.optica.org
We investigate the complexity and performance of recurrent neural network (RNN) models
as post-processing units for the compensation of fibre nonlinearities in digital coherent …
as post-processing units for the compensation of fibre nonlinearities in digital coherent …
Machine translation and its evaluation: a study
Abstract Machine translation (namely MT) has been one of the most popular fields in
computational linguistics and Artificial Intelligence (AI). As one of the most promising …
computational linguistics and Artificial Intelligence (AI). As one of the most promising …
Key technologies for high-speed Si-substrate LED based visible light communication
Nowadays, the demand for high-speed information transmission is increasing rapidly.
Visible light communication (VLC) based on light-emitting diodes (LEDs) is supposed as a …
Visible light communication (VLC) based on light-emitting diodes (LEDs) is supposed as a …
Transfer learning for neural networks-based equalizers in coherent optical systems
In this work, we address the question of the adaptability of artificial neural networks (NNs)
used for impairments mitigation in optical transmission systems. We demonstrate that by …
used for impairments mitigation in optical transmission systems. We demonstrate that by …
Developing a novel hybrid Auto Encoder Decoder Bidirectional Gated Recurrent Unit model enhanced with empirical wavelet transform and Boruta-Catboost to …
Major emphasis presently being made is on using and optimizing more sustainable and
renewable energy resources to tackle the upcoming energy demand challenges and …
renewable energy resources to tackle the upcoming energy demand challenges and …
Performance and complexity analysis of conventional and deep learning equalizers for the high-speed IMDD PON
L Huang, Y Xu, W Jiang, L Xue… - Journal of Lightwave …, 2022 - ieeexplore.ieee.org
To accommodate the exponential growth of network services in the five-generation (5G) and
beyond wireless system, 50 Gb/s/λ passive optical network (PON) is developed for mobile …
beyond wireless system, 50 Gb/s/λ passive optical network (PON) is developed for mobile …
Deep learning in MRI‐guided radiation therapy: A systematic review
Recent advances in MRI‐guided radiation therapy (MRgRT) and deep learning techniques
encourage fully adaptive radiation therapy (ART), real‐time MRI monitoring, and the MRI …
encourage fully adaptive radiation therapy (ART), real‐time MRI monitoring, and the MRI …