[HTML][HTML] Advances and challenges in automated malaria diagnosis using digital microscopy imaging with artificial intelligence tools: A review
Malaria is an infectious disease caused by parasites of the genus Plasmodium spp. It is
transmitted to humans by the bite of an infected female Anopheles mosquito. It is the most …
transmitted to humans by the bite of an infected female Anopheles mosquito. It is the most …
[HTML][HTML] Photonic neuromorphic technologies in optical communications
A Argyris - Nanophotonics, 2022 - degruyter.com
Abstract Machine learning (ML) and neuromorphic computing have been enforcing problem-
solving in many applications. Such approaches found fertile ground in optical …
solving in many applications. Such approaches found fertile ground in optical …
Computational complexity evaluation of neural network applications in signal processing
In this paper, we provide a systematic approach for assessing and comparing the
computational complexity of neural network layers in digital signal processing. We provide …
computational complexity of neural network layers in digital signal processing. We provide …
Neural networks-based equalizers for coherent optical transmission: Caveats and pitfalls
This paper performs a detailed, multi-faceted analysis of key challenges and common
design caveats related to the development of efficient neural networks (NN) based nonlinear …
design caveats related to the development of efficient neural networks (NN) based nonlinear …
MBiLSTMGloVe: Embedding GloVe knowledge into the corpus using multi-layer BiLSTM deep learning model for social media sentiment analysis
A Pimpalkar - Expert Systems with Applications, 2022 - Elsevier
The fast improvement and transformation of online media and unique sites with critical
reviews of items, movies, goods, etc. have created a tremendous assortment of assets for …
reviews of items, movies, goods, etc. have created a tremendous assortment of assets for …
[HTML][HTML] Rumor detection in social network based on user, content and lexical features
Emergence in the social network leads to the extensive and faster diffusion of news than
conventional news channels. Verification of data is challenging due to massive information …
conventional news channels. Verification of data is challenging due to massive information …
Automatic collective motion tuning using actor-critic deep reinforcement learning
Collective behaviours such as swarm formation of autonomous agents offer the advantages
of efficient movement, redundancy, and potential for human guidance of a single swarm …
of efficient movement, redundancy, and potential for human guidance of a single swarm …
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 …
[HTML][HTML] Detecting changes in perceptions towards smart city on Chinese social media: A text mining and sentiment analysis
Examining the public's attention and comments on smart city topics in social media can help
enable a full understanding of the development characteristics of smart cities, and provide a …
enable a full understanding of the development characteristics of smart cities, and provide a …
Spectrum sensing in cognitive radio using CNN-RNN and Transfer learning
Cognitive radio has been proposed to improve spectrum utilization in wireless
communication. Spectrum sensing is an essential component of cognitive radio. The …
communication. Spectrum sensing is an essential component of cognitive radio. The …