Emerging intelligent algorithms: challenges and applications
Published in Neural Computing and Applications
Special issue on machine learning applications for self-organized wireless sensor networks
Published in Neural Computing and Applications
Wind power ramp event detection with a hybrid neuro-evolutionary approach
Published in Neural Computing and Applications
In this paper, a hybrid system for wind power ramp events (WPREs) detection is proposed. The system is based on modeling the detection problem as a binary classification problem from atmospheric reanalysis data inputs. Specifically, a hybrid neuro-evolutionary algorithm is proposed, which combines artificial neural networks such as extreme learning...
A secure cloud-based solution for real-time monitoring and management of Internet of underwater things (IOUT)
Published in Neural Computing and Applications
Internet of underwater things (IoUT) is an emerging technique with widespread applications. In such type of systems, efficient and secure use of network resources remains to be a greater challenge. This is due to the reason that it works on the basis of a network of smart interconnected objects. This creates the necessity for energy-aware and secur...
Type II assembly line balancing problem with multi-operators
Published in Neural Computing and Applications
In this paper, we present a practical line balancing problem: multiple-operator assembly line balancing problem II. The formulation of the proposed problem is novel in terms of investigating the operator assignment from a different perspective. In order to solve this problem, we develop a simulated annealing (SA)-based two-stage solution procedure,...
Research on data fusion of multi-sensors based on fuzzy preference relations
Published in Neural Computing and Applications
For the data fusion of multi-sensors, the determination of weight directly affects the accuracy and performance of the fusion algorithm. In order to improve the accuracy of fusion algorithm, an adaptive weighted algorithm based on fuzzy preference relations is proposed. The degree of preference between signals is represented by introducing the impr...
Evaluation function, game-theoretic machine learning algorithm, and the optimal solution for regional ports resources sh...
Published in Neural Computing and Applications
Seaport resource sharing is critical for regional integration of port clusters. Port resources include the resources of a single port and the strategic resources of port cluster. The decision of a port will have a long-term impact on its competitive port decisions, and understanding the long-term value of an action relative to another is the essenc...
An improved image mixed noise removal algorithm based on super-resolution algorithm and CNN
Published in Neural Computing and Applications
Based on the hardware and sensors of image acquisition, the noise in the image has been easily generated. In this paper, an improved method of image decompression has proposed the shortcoming of the above-mentioned hardware algorithm. The traditional filter desiccation algorithm can only remove one or two specific noises, and it is not effective fo...
Jointly network: a network based on CNN and RBM for gesture recognition
Published in Neural Computing and Applications
Hand belongs to non-rigid objects and is rich in variety, making gesture recognition more difficult. The essence of dynamic gesture recognition is the classification and recognition of single-frame still images. Therefore, this paper mainly focuses on static gesture recognition. At present, there are some problems in gesture recognition, such as ac...
TRec: an efficient recommendation system for hunting passengers with deep neural networks
Published in Neural Computing and Applications
Discovering hidden knowledge patterns in trajectory data can help to hunt passengers for taxi drivers. And it is an important issue in the intelligent transportation domain. However, the existing approaches are inaccurate in real applications. Hence in this paper, by using the GPS trajectory big data of taxis, we innovatively present an efficient a...
