An optimized deep belief network to detect anomalous behavior in social media
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-020-02708-2
Abstract: The rapid development of online social networks such as Reddit, Twitter, Facebook, and so on are widely expanded. The anomaly detection plays an important role in social networks due to different kinds of malicious activities… read more here.
Keywords: deep belief; social networks; optimized deep; ias algorithm ... See more keywords
A secured and optimized deep recurrent neural network (DRNN) scheme for remote health monitoring system with edge computing
Sign Up to like & getrecommendations! Published in 2023 at "Automatika"
DOI: 10.1080/00051144.2023.2195218
Abstract: Patients now want a contemporary, advanced healthcare system that is faster and more individualized and that can keep up with their changing needs. An edge computing environment, in conjunction with 5G speeds and contemporary computing… read more here.
Keywords: neural network; optimized deep; recurrent neural; network drnn ... See more keywords
Optimized Deep Autoencoder Model for Internet of Things Intruder Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3144208
Abstract: The development of an optimized deep learning intruder detection model that could be executed on IoT devices with limited hardware support has several advantages, such as the reduction of communication energy, lowering latency, and protecting… read more here.
Keywords: autoencoder; optimized deep; intruder detection; autoencoder model ... See more keywords
Dual Distance Optimized Deep Quantization With Semantics-Preserving
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3165426
Abstract: Recently, quantization has been an effective technique for large-scale image retrieval, which can encode feature vectors into compact codes. However, it is still a great challenge to improve the discriminative capability of codewords while minimizing… read more here.
Keywords: semantics; dual distance; distance optimized; optimized deep ... See more keywords
Predicting Breast Cancer Based on Optimized Deep Learning Approach
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1820777
Abstract: Breast cancer is a dangerous disease with a high morbidity and mortality rate. One of the most important aspects in breast cancer treatment is getting an accurate diagnosis. Machine-learning (ML) and deep learning techniques can… read more here.
Keywords: rnn; breast cancer; deep learning; optimized deep ... See more keywords
Optimized Deep Neural Network and Its Application in Fine Sowing of Crops
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/3650702
Abstract: Winter wheat is one of the most important food products. Increasing food demand and limited land resources have forced the development of agricultural production to be more refined and efficient. The most important part of… read more here.
Keywords: neural network; optimized deep; deep neural; fine sowing ... See more keywords
Optimized Deep Neural Networks for Real-Time Object Classification on Embedded GPUs
Sign Up to like & getrecommendations! Published in 2017 at "Applied Sciences"
DOI: 10.3390/app7080826
Abstract: Convolution is the most computationally intensive task of the Convolutional Neural Network (CNN). It requires a lot of memory storage and computational power. There are different approaches to compute the solution of convolution and reduce… read more here.
Keywords: optimized deep; embedded gpus; performance; real time ... See more keywords