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Diego Sanchez Narvaez, Carlos Villaseñor, Carlos Lopez-Franco and Nancy Arana-Daniel
It is well-known that part of the neural networks capacity is determined by their topology and the employed training process. How a neural network should be designed and how it should be updated every time that new data is acquired, is an issue that rema...
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Nasrin Elhassan, Giuseppe Varone, Rami Ahmed, Mandar Gogate, Kia Dashtipour, Hani Almoamari, Mohammed A. El-Affendi, Bassam Naji Al-Tamimi, Faisal Albalwy and Amir Hussain
Social media networks have grown exponentially over the last two decades, providing the opportunity for users of the internet to communicate and exchange ideas on a variety of topics. The outcome is that opinion mining plays a crucial role in analyzing u...
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Silvia Auricchio, Francesco Cirotto and Antonio Giannini
A novel machine learning (ML) approach based on a recurrent neural network (RNN) for event topology identification in high energy physics (HEP) is presented. The vector-boson fusion (VBF) production mechanism arising in proton-to-proton collisions is pre...
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Zsofia Jokkel, Marcell Szily, Marton Piroska, Helga Szabó, Anita Hernyes, Gergely Szabó, Ildikó Kalina, Pál Maurovich-Horvat, David Laszlo Tarnoki and Adam Domonkos Tarnoki
Background: Recurrent upper airway obstruction during sleep is a common feature of obstructive sleep apnea (OSA). Risk factors for the development of OSA include obesity, male gender and smoking. In addition, anatomical factors contribute to the developm...
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Min Yue and Shuhong Ma
A crucial component of multimodal transportation networks and long-distance travel chains is the forecasting of transfer passenger flow between integrated hubs in urban agglomerations, particularly during periods of high passenger flow or unusual weather...
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