|
|
|
|
|
Khaled Arbateni and Amir Benzaoui
Electrocardiography (ECG) is a simple and safe tool for detecting heart conditions. Despite the diaspora of existing heartbeat classifiers, improvements such as real-time heartbeat identification and patient-independent classification persist. Reservoir ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaochuan Sun, Jiahui Gao and Yu Wang
During the deployment of practical applications, reservoir computing (RC) is highly susceptible to radiation effects, temperature changes, and other factors. Normal reservoirs are difficult to vouch for. To solve this problem, this paper proposed a rando...
ver más
|
|
|
|
|
|
|
|
|
|
|
Christoph Walter Senn and Itsuo Kumazawa
Noise of any kind can be an issue when translating results from simulations to the real world. We suddenly have to deal with building tolerances, faulty sensors, or just noisy sensor readings. This is especially evident in systems with many free paramete...
ver más
|
|
|
|
|
|
|
|
|
|
|
Krishan Harkhoe, Guy Verschaffelt and Guy Van der Sande
Delay-based reservoir computing (RC), a neuromorphic computing technique, has gathered lots of interest, as it promises compact and high-speed RC implementations. To further boost the computing speeds, we introduce and study an RC setup based on spin-VCS...
ver más
|
|
|
|
|
|
|
|
|
|
|
Vladislav Kholkin, Olga Druzhina, Valerii Vatnik, Maksim Kulagin, Timur Karimov and Denis Butusov
For the last two decades, artificial neural networks (ANNs) of the third generation, also known as spiking neural networks (SNN), have remained a subject of interest for researchers. A significant difficulty for the practical application of SNNs is their...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hideki Ogawa and Yasutake Takahashi
Reservoir computing refers to a computational framework based on recurrent neural networks that can process time-series data. In an echo state network (ESN), which is a type of reservoir computing framework, the reservoir consists of a recursive network ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ning Yu and Timothy Haskins
Regional rainfall forecasting is an important issue in hydrology and meteorology. Machine learning algorithms especially deep learning methods have emerged as a part of prediction tools for regional rainfall forecasting. This paper aims to design and imp...
ver más
|
|
|
|
|
|
|
|
|
|
|
Muhammad Anwar Ishak, Abdul Halim Abdul Latiff, Eric Tatt Wei Ho, Muhammad Izzuljad Ahmad Fuad, Nian Wei Tan, Muhammad Sajid and Emad Elsebakhi
The prediction of subsurface properties such as velocity, density, porosity, and water saturation has been the main focus of petroleum geosciences. Advanced methods such as Full Waveform Inversion (FWI), Joint Migration Inversion (JMI) and ML-Rock Physic...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ryan P. Mulligan, W. Andy Take and Gemma K. Bullard
Tsunamis are generated when landslides transfer momentum to water, and these waves are major hazards in the mountainous coastal areas of lakes, reservoir, and fjords. In this study, the influence of slide mobility on wave generation is investigated using...
ver más
|
|
|
|
|
|