Neural Computing and Applications

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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
“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
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
Product named entity recognition for Chinese query questions based on a skip-chain CRF model
Neural Computing and Applications - Tập 23 - Trang 371-379 - 2012
Zhifeng Hao, Hongfei Wang, Ruichu Cai, Wen Wen
As more and more commercial information can be obtained from the Internet, product named entity recognition plays an important role in market intelligence management. In this paper, a product named entity recognition method based on a skip-chain CRF model is proposed. This method considers not only the dependence between neighboring words but also the fact that product named entities are often con...... hiện toàn bộ
A new pricing constrained single-product inventory-production model in perishable food for maximizing the total profit
Neural Computing and Applications - Tập 24 - Trang 735-743 - 2012
Vahid Majazi Dalfard, Nasim Ekram Nosratian
In this paper, a new constrained single-product pricing and inventory model is presented. The goal of the proposed model is to decide on the prices as well as on the inventory and production decisions in order to maximize the total profit. The developed model is a nonlinear programming model which is solved by using hybrid genetic algorithm (HGA) and simulated annealing. Comparison of results obta...... hiện toàn bộ
Online cost-sensitive neural network classifiers for non-stationary and imbalanced data streams
Neural Computing and Applications - Tập 23 Số 5 - Trang 1283-1295 - 2013
Adel Ghazikhani, Reza Monsefi, Hadi Sadoghi Yazdi
GPLFR—Global perspective and local flow registration-for forward-looking sonar images
Neural Computing and Applications - - 2022
Peng Huang, Chunsheng Guo, Xingbing Fu, Liang Xu, Di Zhou
Predicting triplanar and bidirectional movements for a transtibial prosthesis for rehabilitation using intelligent neural networks
Neural Computing and Applications - - Trang 1-14 - 2024
Jesus de la Cruz-Alejo, J. Antonio Lobato-Cadena, M. Belem Arce-Vázquez, Agustin Mora-Ortega
In this study, artificial neural networks (NN) are applied to the design of a transtibial prosthesis to adapt triplanar and bidirectional movements of human locomotion for rehabilitation. NN-based control is used because the prosthesis system is highly nonlinear and has variables with too many uncertainties caused by variations in ankle movements, weight damping, dorsiflexion, and flexion in the a...... hiện toàn bộ
Automatic chronic degenerative diseases identification using enteric nervous system images
Neural Computing and Applications - Tập 33 - Trang 15373-15395 - 2021
Gustavo Z. Felipe, Jacqueline N. Zanoni, Camila C. Sehaber-Sierakowski, Gleison D. P. Bossolani, Sara R. G. Souza, Franklin C. Flores, Luiz E. S. Oliveira, Rodolfo M. Pereira, Yandre M. G. Costa
Studies recently accomplished on the Enteric Nervous System have shown that chronic degenerative diseases affect the Enteric Glial Cells (EGC) and, thus, the development of recognition methods able to identify whether or not the EGC are affected by these type of diseases may be helpful in its diagnoses. In this work, we propose the use of pattern recognition and machine learning techniques to eval...... hiện toàn bộ
Multi-objective league championship algorithm for real-time task scheduling
Neural Computing and Applications - Tập 32 - Trang 5093-5104 - 2019
Saroja Subbaraj, Revathi Thiagarajan, Madavan Rengaraj
League championship algorithm is a recently proposed population-based evolutionary algorithm for finding global optimal solutions in continuous optimization problems. The proposed work adopts the algorithm by modifying the team formation step for solving real-time task scheduling problem in heterogeneous multiprocessors. Two different objectives: tardiness and energy consumption were considered fo...... hiện toàn bộ
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