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The Extendible Functional Concepts of Logic And Its Applications for the Classical Logic
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 ...
Sparse Logistic Regression with the Hybrid L1/2+1 Regularization
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 ...
Study on Orthogonal Fuzzy Rough Set Model
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, ...
On Wavelet Neural Networks and River Flow Forecasting
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 ...
Using Auto-Encoder Neural Networks for Memory Fault Tolerance in Gesture Recognition System
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 ...
Generated Model Based Data Augmentations for Classification of HER2 Immunohistochemical Pathological Images in Breast Cancer
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 ...
COVID-19 detection by X-Ray images and Deep Learning
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 ...
Height Estimation from Single Aerial Imagery with a Deep Boundary-Guided Network
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 ...
Weakly-supervised Learning Using Pretraining for Classification in HER2 Immunohistochemistry Image of Breast Cancer
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 ...
Social Event Recommendation Based on Social Relationship and Attention Mechanism
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 ...
Efficient Construction of Three-Dimensional Barrier Coverage in Underwater Wireless Sensor Networks
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 ...
Research on ZigBee routing algorithm based on clustering mechanism
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 ...
Mobile user authentication-Turn it to unlock
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 ...
Knowledge Transfer across Diseases
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 ...
Dilated Convolutional Neural Network with Joint Training for Chinese Word Segmentation
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 ...
An Efficient and Secure Blockchain-Based SVM Classification for a COVID-19 Healthcare System
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 ...
Locality Sensitive Hashing Based Clustering for Large Scale Documents
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 ...
Index Terms
- Proceedings of the 2021 6th International Conference on Mathematics and Artificial Intelligence
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Special Issue on Hybrid Artificial Intelligence Systems from HAIS 2021 Conference
AbstractThe eight papers included in this special issue represent a selection of extended contributions presented at the 16th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2021 held in Bilbao, Spain, September 22nd-24th, 2021, ...