ICMAI

Firstly, this paper considers a new function, called the Cartesian function. Use the function, a generalized concept of logic is obtained and we call it the Cartesian logic. Secondly, as application, the Cartesian {0,1}-logic is introduced, and the ...

In this paper, L1/2+1 regularized logistic regression model and corresponding algorithm are proposed. The L1/2 regular term has unbiased, sparsity and Oracle properties. The L1 regular term guarantees the convex function characteristics in theory. The ...

According to orthogonal fuzzy information classification and knowledge discovery problem, an orthogonal fuzzy rough set model based on orthogonal fuzzy knowledge was proposed by studying the equivalence relation of orthogonal fuzzy sets. On this basis, ...

A method of river flow modeling and forecast is implemented, and results are presented to provide comparisons based on different techniques and training parameters. Here we implement a forecast based on the well-established feed forward back ...

Data faults and retention characteristics in memories induce inaccuracy and failure in conventional electronic systems. While intelligent hardware which using AI algorithms can tolerate these faults with the advantage of neural network. This paper ...

In recent years, deep learning technology is widely used in the study of pathological diagnosis. Deep learning technology has a very positive impact on pathology. It has a strong ability to learn pathological images and can solve complex problems. But ...

The new Coronavirus, also called COVID-19, appeared in Wuhan, China in December 2019 Spread out big. The virus has now made the COVID-19 disease a worldwide epidemic. This virus has affected the global health, economy, and the daily lives of ...

Extracting 3D information from single aerial image plays an important role in computer vision and remote sensing. However, due to the structural complexity of ground objects and noise introduced during the generation stage of ground truth labels, it is ...

Recently supervised deep learning method has achieved good performance in image classification tasks. However, it is very difficult to annotate pathological images accurately for supervised learning tasks. So, the limited amount of labeled data brings ...

Event recommendation based on social relationship is a common method in EBSNs. This kind of algorithm can solve the problem of cold start and data sparsity to a certain extent, but it doesn‘’t consider the influence degree of diffrent friends and the ...

In this paper, we focus on the problem of efficient construction of three-dimensional barrier coverage in underwater wireless sensor networks. We first introduced the sensing model of sensor and the network model of underwater barrier coverage, and ...

In view of the inefficiency of cluster-tree algorithm and the high expense of AODVjr algorithm, a ZigBee routing algorithm based on cluster and backup cluster head is proposed. The ZigBee routing algorithm uses ADOVjr algorithm for data transmission and ...

Nowadays, with the prosperous development of smartphone, abundant applications in smartphone have sprung up. To secure privacy information of users from being leaked, user authentication become necessary and important. Traditional authentication scheme ...

In the field of medical data mining, collecting sufficient expert labeled datasets especially with pixel-level annotations is extremely difficult. For diseases with scarce data, supervised learning has little effect even with synthetic images for data ...

The task of Chinese word segmentation (CWS) is to segment a continuous Chinese text sequence into individual word sequences according to certain rules. As the most basic step of Chinese natural language processing tasks, the study of CWS is of great ...

The recent coronavirus (COVID-19) pandemic has brought the world to an apocalyptic standstill with huge economic burden and catastrophic healthcare consequences. COVID-19 pandemic has neither clinically proven vaccine nor drugs so far. It is now ...

Nowadays, the size of data continues to increase more rapidly day by day. Considering this situation, large-scale processing has become a very important issue in document clustering, due to its capability to organize large numbers of documents as few ...