Neural Computing and Applications

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Estimate remaining useful life for predictive railways maintenance based on LSTM autoencoder
Neural Computing and Applications - - Trang 1-12 - 2022
Liqiang Hu, Guoyong Dai
Nowadays, frequent maintenance and repair of mechanical equipment whose goal is to deter the suspension time of railway infrastructures are proven to be ineffectual. It also results in loss of reliability as well as consuming unnecessary means and costs, since at least half of the precautionary maintenance activities are considered redundant. Despite this spending, operators are struggling to adeq...... hiện toàn bộ
A pediatric bone age assessment method for hand bone X-ray images based on dual-path network
Neural Computing and Applications - - Trang 1-16 - 2023
Shuang Wang, Shuyan Jin, Kun Xu, Jiayan She, Jipeng Fan, Mingji He, Liao Shaoyi Stephen, Zhongjun Gao, Xiaobo Liu, Keqin Yao
Bone age assessment is a common diagnostic method used for abnormal growth and development in children. Despite recent significant advancements in convolutional neural network (CNN)-based intelligent bone age assessment in children, there remains room for improvement in assessment accuracy. Studies have indicated that a dual-path network (DPN) can incorporate different features of a CNN and improv...... hiện toàn bộ
Multi-camera person re-identification using spatiotemporal context modeling
Neural Computing and Applications - Tập 35 - Trang 20117-20142 - 2023
Fatima Zulfiqar, Usama Ijaz Bajwa, Rana Hammad Raza
Person re-identification (ReID) aims at identifying a person of interest (POI) across multiple non-overlapping cameras. The POI can be either in an image or in a video sequence. Factors such as occlusion, variable viewpoint, misalignment, unrestrained poses, background clutter are the major challenges in developing robust, person ReID models. To address these issues, an attention mechanism that co...... hiện toàn bộ
Advanced machine learning techniques for microarray spot quality classification
Neural Computing and Applications - Tập 19 - Trang 471-475 - 2010
Loris Nanni, Alessandra Lumini, Sheryl Brahnam
It is well known that microarray printing, hybridization, and washing oftentimes create erroneous measurements, and these errors detrimentally impact machine microarray spot quality classification. Thus, it is crucial to identify and remove these errors if automation is to replace the still common practice of visually assessing spot quality, an extremely expensive and time-consuming procedure. A m...... hiện toàn bộ
Deep learning-based multidimensional feature fusion for classification of ECG arrhythmia
Neural Computing and Applications - - 2023
Jianfeng Cui, Lixin Wang, Xiaopeng He, Victor Hugo C. de Albuquerque, Salman A. AlQahtani, Mohammad Mehedi Hassan
“SPOCU”: scaled polynomial constant unit activation function
Neural Computing and Applications - Tập 33 - Trang 3385-3401 - 2020
Jozef Kiseľák, Ying Lu, Ján Švihra, Peter Szépe, Milan Stehlík
We address the following problem: given a set of complex images or a large database, the numerical and computational complexity and quality of approximation for neural network may drastically differ from one activation function to another. A general novel methodology, scaled polynomial constant unit activation function “SPOCU,” is introduced and shown to work satisfactorily on a variety of problem...... hiện toàn bộ
FEM-based neural network modeling of laser-assisted bending
Neural Computing and Applications - Tập 29 - Trang 69-82 - 2016
Besufekad N. Fetene, Rajkumar Shufen, Uday S. Dixit
An artificial neural network (ANN) model of laser-assisted bending is developed based on the data obtained from a finite element method (FEM) model. FEM model is validated with the experiments. In the experimental setup, the sheet is clamped like a cantilever beam with mechanical load on the free end. A laser beam scans the bend line for reducing the flow stress of the material locally. ANN consid...... hiện toàn bộ
A neural network to predict attendance of paediatric patients at outpatient clinics
Neural Computing and Applications - - 1995
S. Snowden, P. Weech, Rod McClure, S W Smye, P. R. F. Dear
FinGAN: Chaotic generative adversarial network for analytical customer relationship management in banking and insurance
Neural Computing and Applications - Tập 35 Số 8 - Trang 6015-6028 - 2023
Prateek Kate, Vadlamani Ravi, Akhilesh Kumar Gangwar
Comparison between linear genetic programming and M5 tree models to predict flow discharge in compound channels
Neural Computing and Applications - Tập 24 - Trang 413-420 - 2012
A. Zahiri, H. Md. Azamathulla
There are many studies on the hydraulic analysis of steady uniform flows in compound open channels. Based on these studies, various methods have been developed with different assumptions. In general, these methods either have long computations or need numerical solution of differential equations. Furthermore, their accuracy for all compound channels with different geometric and hydraulic condition...... hiện toàn bộ
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