Hashemi, Reyhaneh Brigode, Pierre Garambois, Pierre-André JAVELLE, Pierre
In the field of Deep Learning, the long short-term memory (LSTM) networks lie in the category of recurrent neural network (RNN) architectures. The distinctive capability of the LSTM is learning non linear long term dependency structures. This makes the LSTM a good candidate for prediction tasks in non linear time dependent systems such as predictio...
Alharkan, Hamad Habib, Shabana Islam, Muhammad
Published in
Sensors (Basel, Switzerland)
The integration of solar energy with a power system brings great economic and environmental benefits. However, the high penetration of solar power is challenging due to the operation and planning of the existing power system owing to the intermittence and randomicity of solar power generation. Achieving accurate predictions for power generation is ...
Peujio Jiotsop Foze, Wellcome Hernández del Valle, Adrián
Nowadays, electrical energy is of vital importance in our lives, every country needs this resource to develop its economy, factories, businesses, and homes are the basis of the economic structure of a country. In the city of Newcastle as in other cities are in constant development growing day by day in terms of industries, homes and businesses, the...
Pristovnik, Jan
The master's thesis addresses analyzing and modeling the volatility of Bitcoin, the cryptocurrency with the largest marketcap. Volatility is a statistical measure of the dispersion of returns. We approximated it with realized volatility calculated on intra-daily log returns. We defined two baseline models based on a constant value and martingale pr...
Mukherjee, Lopamudra Sagar, Md Abdul Kader Ouellette, Jonathan N. Watters, Jyoti J. Eliceiri, Kevin W.
Published in
Frontiers in Neuroinformatics
Microglia are the immune cell in the central nervous system (CNS) and exist in a surveillant state characterized by a ramified form in the healthy brain. In response to brain injury or disease including neurodegenerative diseases, they become activated and change their morphology. Due to known correlation between this activation and neuroinflammati...
Zheng, Peijie Qi, Yue Li, Xueyong Liu, Yuewu Yao, Yuhua Huang, Guohua
Published in
Frontiers in Microbiology
Transcription factors (TFs) are typical regulators for gene expression and play versatile roles in cellular processes. Since it is time-consuming, costly, and labor-intensive to detect it by using physical methods, it is desired to develop a computational method to detect TFs. Here, we presented a capsule network-based method for identifying TFs. T...
Istiana, T. Kurniawan, B. Soekirno, S. Prakoso, B.
Published in
IOP Conference Series: Earth and Environmental Science
PM2.5 is a respirable fine particle with harmful effects. PM2.5 prediction research plays a role to contribute scientific recommendations in actions for controlling air pollution. Nowadays, PM2.5 prediction using deep learning is the most chosen since it is an efficient and cost-effective method for air quality modeling. As a subset of deep learnin...
Li, Deyang
Published in
Journal of Physics: Conference Series
Stocks as an important part of financial investment are becoming more and more popular, and they have higher rates of both returns and risks. Making a prediction for the stock can reduce its risk and help people gain returns. So far, the traditional machine learning model is still unable to achieve ideal accuracy. The paper is devoted to analyzing ...
Suresh, Sylesh Kyle
Buffer pools are essential for disk-based database management system (DBMS) performance as accessing memory on disk is orders of magnitude more expensive than accessing data in-memory. As such, one of the most important techniques for DBMS performance improvement is proper buffer pool management. Although much work has already gone into page replac...
Jena, Pradyot Ranjan Majhi, Ritanjali
Published in
Scientific African
The problem of stock market prediction is a challenging task owing to its complex nature and the numerous indirect factors at play. The sentiments regarding socio-political issues such as wars and pandemics can affect stock prices. The spread of the COVID-19 pandemic continues to take a toll on the economy and fluctuations in sentiment of the conce...