|
|
|
|
|
Fekhr Eddine Keddous and Amir Nakib
Convolutional neural networks (CNNs) have powerful representation learning capabilities by automatically learning and extracting features directly from inputs. In classification applications, CNN models are typically composed of: convolutional layers, po...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yunlong Zhang, Dongsheng Du, Sheng Shi, Weiwei Li and Shuguang Wang
The intensity non-stationarity is one of the basic characteristics of ground motions, the influences of which on the dynamic responses of structures is a pressing issue in the field of earthquake engineering. The BP neural network modified by the genetic...
ver más
|
|
|
|
|
|
|
|
|
|
|
Oleg Sova,Oleksandr Turinskyi,Andrii Shyshatskyi,Volodymyr Dudnyk,Ruslan Zhyvotovskyi,Yevgen Prokopenko,Taras Hurskyi,Valerii Hordiichuk,Anton Nikitenko,Artem Remez
Pág. 46 - 55
The algorithm to train artificial neural networks for intelligent decision support systems has been constructed. A distinctive feature of the proposed algorithm is that it conducts training not only for synaptic weights of an artificial neural network, b...
ver más
|
|
|
|
|
|
|
|
|
|
|
Oleg Sova,Andrii Shyshatskyi,Yurii Zhuravskyi,Olha Salnikova,Oleksandr Zubov,Ruslan Zhyvotovskyi,?gor Romanenko,Yevhen Kalashnikov,Artem Shulhin,Alexander Simonenko
Pág. 6 - 14
The method of training artificial neural networks for intelligent decision support systems is developed. A distinctive feature of the proposed method is that it provides training not only of the synaptic weights of the artificial neural network, but also...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sharoug Alzaidy and Hamad Binsalleeh
In the field of behavioral detection, deep learning has been extensively utilized. For example, deep learning models have been utilized to detect and classify malware. Deep learning, however, has vulnerabilities that can be exploited with crafted inputs,...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ioannis G. Tsoulos and Alexandros Tzallas
Perhaps one of the best-known machine learning models is the artificial neural network, where a number of parameters must be adjusted to learn a wide range of practical problems from areas such as physics, chemistry, medicine, etc. Such problems can be r...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ahmed Latif Yaser, Hamdy M. Mousa and Mahmoud Hussein
Software-defined networking (SDN) is an innovative network paradigm, offering substantial control of network operation through a network?s architecture. SDN is an ideal platform for implementing projects involving distributed applications, security solut...
ver más
|
|
|
|
|
|
|
|
|
|
|
Huynh Cong Viet Ngu and Keon Myung Lee
Due to energy efficiency, spiking neural networks (SNNs) have gradually been considered as an alternative to convolutional neural networks (CNNs) in various machine learning tasks. In image recognition tasks, leveraging the superior capability of CNNs, t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kai Feng, Xitian Pi, Hongying Liu and Kai Sun
Myocardial infarction is one of the most threatening cardiovascular diseases for human beings. With the rapid development of wearable devices and portable electrocardiogram (ECG) medical devices, it is possible and conceivable to detect and monitor myoca...
ver más
|
|
|
|
|
|
|
|
|
|
|
Min Zhang and Guohua Geng
Social media and health-related forums, including the expression of customer reviews, have recently provided data sources for adverse drug reaction (ADR) identification research. However, in the existing methods, the neglect of noise data and the need fo...
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
|
|
|
|
|
|
|
|
|
|
|
Riad Ibadulla, Thomas M. Chen and Constantino Carlos Reyes-Aldasoro
This paper describes the transformation of a traditional in silico classification network into an optical fully convolutional neural network with high-resolution feature maps and kernels. When using the free-space 4f system to accelerate the inference sp...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaoyu Han, Chenyu Li, Zifan Wang and Guohua Liu
Neural architecture search (NAS) has shown great potential in discovering powerful and flexible network models, becoming an important branch of automatic machine learning (AutoML). Although search methods based on reinforcement learning and evolutionary ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jianhe Li and Suohai Fan
In recent years, graph neural networks (GNNs) have played an important role in graph representation learning and have successfully achieved excellent results in semi-supervised classification. However, these GNNs often neglect the global smoothing of the...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenxin Yang, Xiaoli Zhi and Weiqin Tong
Current edge devices for neural networks such as FPGA, CPLD, and ASIC can support low bit-width computing to improve the execution latency and energy efficiency, but traditional linear quantization can only maintain the inference accuracy of neural netwo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dominika Sieracka, Maciej Zaborowicz and Jakub Frankowski
Currently, there is a significant increase in interest in hemp cultivation and hemp products around the world. The hemp industry is a strongly developing branch of the economies of many countries. Short-term forecasting of the hemp seed and grain yield w...
ver más
|
|
|
|
|
|
|
|
|
|
|
Renner de Assis Garcia Sobrinho, Franklin Piauhy Neto and Henrique Fernandes
The use of technology, such as artificial intelligence (AI), in production processes has been optimizing several industrial realities. In civil construction, AI can be used in different applications, one of which is building inspection. One of the diffic...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohamed Shaban
Parkinson?s disease (PD) is a serious movement disorder that may eventually progress to mild cognitive dysfunction (MCI) and dementia. According to the Parkinson?s foundation, one million Americans were diagnosed with PD and almost 10 million individuals...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Javad Hassannataj Joloudari, Abdolreza Marefat, Mohammad Ali Nematollahi, Solomon Sunday Oyelere and Sadiq Hussain
Imbalanced Data (ID) is a problem that deters Machine Learning (ML) models from achieving satisfactory results. ID is the occurrence of a situation where the quantity of the samples belonging to one class outnumbers that of the other by a wide margin, ma...
ver más
|
|
|
|
|
|