Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

This special issue of the Journal of Intelligent & Fuzzy Systems contains selected articles of fuzzy logic for analysis of clinical diagnosis and decision-making in health care.

Medical image restoration is a fundamental issue in the area of medical signal processing, which aims recove high quality medical image from its degradation observation. Recently, the methods with nonlocal self-similarity prior have led to a great ...

The facial information of a person has constant invariance, and at the same time, it is an ideal basis for identifying identity information through differences between different individuals. The use of face recognition in third-party payment platforms ...

At present, airlines cannot meet the requirements of increasing air cargo volume and cargo service quality by simply improving air transportation capacity. On the basis of increasing the construction of aviation logistics distribution centers, airlines ...

 The article combines mathematical models to describe the multi-customer air cargo routing problem. Aiming at the coding problems in standard genetic algorithms and the large number of non-feasible solutions after crossover and mutation, this paper ...

The difference of feeder impedance and the nonlinear load may deteriorate reactive power sharing and worsen the power quality, which may cause the breakdown of power supply in islanded microgrids. An enhanced discrete consensus algorithm considering ...

 Aggregated search is the task of integrating results from potentially multiple specialized search services, or verticals (images, videos, news, etc.), into the Web search results. Major search engines perform what is known as Aggregated Search. ...

Befriending with net friends in real life is an important choice for people who live in a fast-paced lifestyle, but results are unsatisfactory and even cause a lot of malignant events. Therefore, this paper simulates the whole process of Internet friend-...

Marine hydraulic manipulator is limited by its size, weight and environment, so traditional hydraulic manipulator cannot be used for marine equipment. In this paper, large displacement pump is replaced by small displacement pump, accumulator is used as ...

Aspect level sentiment classification task requires topical polarity classification for different description aspect. There is a polysemy in the same vocabulary, and the emotional polarity is different for different objects. Word embedding can capture ...

Communication network security is an important part of the digital signal processor. In particular, the process bus replaces the traditional hard wiring, which makes the network system extend from the second to the first time, greatly increasing the ...

Bad weather has a negative effect on the perceptual quality and degrades the performance of computer vision system. Therefore, a rain removal method based on dual-tree complex wavelet fusion is proposed. The algorithm can be further used for video ...

This paper designs a brand-new image retrieval method of mammary cancer based on convolution neural network. This method simulates VLAD layer in CNN network structure, designs a trainable universal VLAD layer-NET VLAD layer, reduces dimensions and ...

This paper presents a medical brain image algorithm based on multi-feature fusion. Feature extraction based on convolutional neural network was used as texture information, feature extraction based on voxel information was used as morphological feature, ...

In order to improve the security of information storage in multi-domain optical network privacy protection, hybrid encoding and encryption of privacy protection information in multi-domain optical network is carried out. A hybrid coding and secure ...

In order to improve the ability of automatic estimation and prediction of economic trend index, an intelligent prediction model of economic trend index based on rough set support vector machine is proposed. The statistical analysis of intelligent ...

With the continuous progress of network technology, some abnormal data are often confused in network data flow, which affects network security. In order to grasp the abnormal degree of abnormal data in networks and detect the similarity of abnormal data, ...

In the era of the Internet of Things, the way of information dissemination and the speed of information computing have changed dramatically. New generation technologies such as big data, IOTs, cloud computing, and mobile internet have rapidly developed, ...

Collision detection is the core issue in physical human–robot interactions, and many detection methods based on robot dynamic models have been proposed. However, model uncertainties, especially complicated friction, seriously affect the collision ...

The frequency modulated continuous wave circular synthetic aperture radar (FMCW CSAR) is a high resolution imaging radar, which plays an important role in target recognition. However, the traditional wave number domain imaging algorithm has a low ...

The traditional point cloud alignment method suffers from drawbacks such as a large extensive computation, low computing speed, and poor alignment accuracy. To overcome these problems, this paper proposes a fast and highly accurate algorithm based on fast ...

Previous studies lack a comprehensive evaluation model that combined the subjective perception of the driver and the objective driving environment. This work investigates the characteristics of drivers’ behavior risk in highway extra-long tunnels. Real-...

Traditional (k, n) secret image sharing provides all-or-nothing decoding model and (k, n) scalable secret image sharing provides progress decoding model during image reconstruction. Both these two decoding models are significance in various applications. ...

Fault localization is the critical but most expensive step in testing manufacturing software, effectively locating faults has become an increasingly concerned study. The existing spectrum-based fault localization techniques utilize spectrum information ...

Task scheduling in the cloud environment is a hot issue in current research. Aiming at the task scheduling problem in cloud environment, this paper analyses the scheduling model of cloud tasks, proposed an improved genetic algorithm (PGA) based on ...

With the rapid development of data center network, the traditional traffic scheduling method can easily cause problems such as link congestion and load imbalance. Therefore, this paper proposes a novel dynamic flow scheduling algorithm GA-ACO (Genetic ...

Battery management system (BMS) is an important part of electric vehicle that can improve the efficiency of battery and ensure the safety during operating process. State of charge (SOC) estimation is one of kernel technology of BMS. High precision of SOC ...

Multi-phase computed tomography images are widely applied to doctors’ routine interpretation of organic lesions or before human abdominal surgery. However, because of the lack of intuitive and three-dimensional (3D) observations, human factors lead to 80% ...

Although it is very important to pay attention to the personalized medicine of tumour patients, there is quite lacking some methods to evaluate the synergistic effects of the top anti-cancer drugs in clinic. In the study, therefore, we used the network of ...