Results 21 to 30 of about 276,034 (269)
KRİPTO PARA FİYATLARININ LSTM VE GRU MODELLERİ İLE TAHMİNİ
Yakın geçmişte hayatımıza giren ve kısa zamanda finansal piyasalarda kendisine yer bulan kripto paralar, hem bir değişim aracı hem de bir yatırım aracı olarak kullanılmaktadır.
Meltem Karaatlı, Esranur Demirci
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A novel anomaly detection method for multimodal WSN data flow via a dynamic graph neural network
Anomaly detection is a critical technique that ensures the reliability of WSNs. However, most existing anomaly detection methods only consider the case of single modal data flow anomaly detection for each node or multiple modal time series data flow ...
Qinghao Zhang, Miao Ye, Xiaofang Deng
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Research on lip recognition algorithm based on MobileNet + attention-GRU
With the development of deep learning and artificial intelligence, the application of lip recognition is in high demand in computer vision and human-machine interaction.
Yuanyao Lu , Kexin Li
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Studies of the Sun and the Earth’s atmosphere and climate consider solar variability as an important driver, and its constant monitoring is essential for climate models. Solar total and spectral irradiance are among the main relevant parameters. Physical
Muralikrishna Amita +2 more
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FGFR1 amplifi cation and the progression of non-invasive to invasive breast cancer [PDF]
The incidence of invasive breast cancer (IBC) can be dramatically reduced by improving our abilities to detect and treat ductal carcinoma in situ (DCIS).
Allred, D. Craig, Gru, Alejandro A
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Successive Image Generation from a Single Sentence [PDF]
Through various examples in history such as the early man’s carving on caves, dependence on diagrammatic representations, the immense popularity of comic books we have seen that vision has a higher reach in communication than written words. In this paper,
Parab Amogh +4 more
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Breast Cancer Prediction Using Stacked GRU-LSTM-BRNN
Breast Cancer diagnosis is one of the most studied problems in the medical domain. Cancer diagnosis has been studied extensively, which instantiates the need for early prediction of cancer disease.
Dutta Shawni +3 more
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Bidirectional deep architecture for Arabic speech recognition
Nowadays, the real life constraints necessitates controlling modern machines using human intervention by means of sensorial organs. The voice is one of the human senses that can control/monitor modern interfaces.
Zerari Naima +3 more
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Using Deep Learning (CNN, RNN, LSTM, GRU) methods for the prediction of Protein Secondary Structure
Proteins play a crucial function in the biological processes of living organisms. Knowing the function of the protein offers significant insight into future biological and medical research. Since a protein’s shape determines its function, it is important
Ezgi Çakmak, İhsan Hakan Selvi
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Bangla hate speech detection on social media using attention-based recurrent neural network
Hate speech has spread more rapidly through the daily use of technology and, most notably, by sharing your opinions or feelings on social media in a negative aspect.
Das Amit Kumar +3 more
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