Spiking Neural P Systems with Polarizations and Rules on Synapses by Suxia Jiang, Jihui Fan, Yijun Liu, Yanfeng Wang, Fei Xu

“…Spiking neural P systems are a class of computation models inspired by the biological neural systems, where spikes and spiking rules are in neurons. …”
Get full text

Tidal Conversion Into Vertical Normal Modes by Continental Margins by Gaspard Geoffroy, Samuel M. Kelly, Jonas Nycander

Get full text

Recursive Neural Networks Based on PSO for Image Parsing by Guo-Rong Cai, Shui-Li Chen

“…This paper presents an image parsing algorithm which is based on Particle Swarm Optimization (PSO) and Recursive Neural Networks (RNNs). State-of-the-art method such as traditional RNN-based parsing strategy uses L-BFGS over the complete data for learning the parameters. …”
Get full text

COVID-19: Are Malaysians embracing or suffering the new normality? by Dinyadarshini Johnson, Stanley Eng Chee Ren, Hema Darshinee Johnson, Vengadesh Letchumanan

“… The COVID-19 pandemic has inevitably rendered a paradigm shift in peoples’ day-to-day normality. The pandemic has precipitated various reaction and responses from people across the globe especially with the enforcement of preventive measures initiated by their respective government forces. …”
Get full text

Backpropagation Neural Network Implementation for Medical Image Compression by Kamil Dimililer

“…In this paper, Haar wavelet transform and discrete cosine transform are considered and a neural network is trained to relate the X-ray image contents to their ideal compression method and their optimum compression ratio.…”
Get full text

Classification of ECG signals using deep neural networks by Nadour Mohamed, Cherroun Lakhmissi, Hadroug Nadji

Subjects: Get full text

Crypto Currency Price Forecast: Neural Network Perspectives by Yuriy Kleban, Tetiana Stasiuk

Subjects: Get full text

Foliar Fungal Disease Management for Commercial Citrus Groves by Megan M. Dewdney, Jamie D. Yates

“…Burrow PP270/PP270: Foliar Fungal Disease Management for Commercial Citrus Groves (ufl.edu) …”
Get full text

Lung cancer classification with Convolutional Neural Network Architectures by Shivan H. M. Mohammed, Ahmet Çinar

Get full text

Artificial neural network TSR for optimization of actinomycin production by Marzieh Lamtar-Gholipoor, Soheil Fakheri, Mahmoud Alimoradi

Subjects: Get full text

Burial customs, the afterlife and the pollution of death in ancient Greece by Francois P. Retief, Louise Cilliers

“… Funerary practices in ancient Greece were influenced by contemporary views on the afterlife and by concepts of pollution, but also by a desire to limit costs and a need to prevent the process of burial from causing inconvenience to the community or providing an opportunity for exploitation by those with ulterior motives. …”
Get full text

Complexity of Deep Convolutional Neural Networks in Mobile Computing by Saad Naeem, Noreen Jamil, Habib Ullah Khan, Shah Nazir

“…Neural networks employ massive interconnection of simple computing units called neurons to compute the problems that are highly nonlinear and could not be hard coded into a program. …”
Get full text

Cardiovascular Development and the Colonizing Cardiac Neural Crest Lineage by Paige Snider, Michael Olaopa, Anthony B. Firulli, Simon J. Conway

“…Intriguingly, both ablation of chick and Xenopus premigratory neural crest cells, and a transgenic deletion of mouse neural crest cell migration or disruption of the normal mammalian neural crest gene expression profiles, disrupts ventral myocardial function and/or cardiomyocyte proliferation. …”
Get full text

Microseismic Signal Classification Based on Artificial Neural Networks by Chong-wei Xin, Fu-xing Jiang, Guo-dong Jin

“…An automatic classification algorithm based on artificial neural networks (ANNs) has been proposed. The model presented an excellent performance in identifying three preclassified signals in the test set. …”
Get full text

A deep neural network for general scattering matrix by Jing Yongxin, Chu Hongchen, Huang Bo, Luo Jie, Wang Wei, Lai Yun

Subjects: “…deep neural network…”
Get full text

Cultures as types and the utility of viable specimens for fungal nomenclature by Andrey Yurkov, Cobus M. Visagie, Pedro W. Crous, Akira Hashimoto, Christiane Baschien, Dominik Begerow, Martin Kemler, Nathan Schoutteten, Marc Stadler, Nalin N. Wijayawardene, Kevin D. Hyde, Ning Zhang, Teun Boekhout, ICTF Yeast Working Group, Tom W. May, Marco Thines, David L. Hawksworth

Get full text

Application of Artificial Neural Network in the Baking Process of Salmon by Pengfei Jiang, Kaiyue Zhu, Shan Shang, Wengang Jin, Wanying Yu, Shuang Li, Shen Wang, Xiuping Dong

“…This paper deals with the relationship between moisture content, low-field nuclear magnetic resonance (LF-NMR), scanning electron microscope (SEM), and sensory evaluation in the baking process of salmon. An artificial neural network (ANN) model has been established to simulate the change of moisture content and energy consumed in the baking process. …”
Get full text

Using Convolutional Neural Networks for segmentation of brain tumors by Kauã Gabriel Silva de Lima, Vagner Alves Ferreira da Silva, João Victor Oliveira da Silva, Lucas Patrick Ramos de Oliveira, Diogo Lopes da Silva

Subjects: Get full text

Neural correlates of olfactory working memory in the human brain by Zhuofeng Li, Shu-bin Li, Shaozhen Tan, Lu-lu Liu, Chao Yan, Lai-quan Zou

“…Previous research has revealed that the insula, pallidum, thalamus, hippocampus, middle frontal gyrus, and supplementary motor area are activated during odor memory and that the performance of olfactory working memory is affected by the verbalization of odors. However, the neural mechanisms underlying olfactory working memory and the role of verbalization in olfactory working memory are not fully understood. …”
Get full text

Gearbox Fault Identification and Classification with Convolutional Neural Networks by ZhiQiang Chen, Chuan Li, René-Vinicio Sanchez

“…Based on vibration signals, this paper presents an implementation of deep learning algorithm convolutional neural network (CNN) used for fault identification and classification in gearboxes. …”
Get full text