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ISSN: 2579-0021 (print)
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ISSN: 2579-003X (online)
Publication Frequency: Quarterly
About the Journal
Artificial Intelligence (AI) techniques have been attracted increasing attention around the world and are now being widely used to solve a whole range of hitherto intractable problems. This journal welcomes foundational and applied papers describing mature work involving AI methods.
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OPEN ACCESS ARTICLE
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A Survey of Knowledge Based Question Answering with Deep Learning
- Chaoyu Deng, Guangfu Zeng, Zhiping Cai, Xiaoqiang Xiao*
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Journal on Artificial Intelligence, Vol.2, No.4, pp. 157-166, 2020, DOI:10.32604/jai.2020.011541
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Abstract The purpose of automated question answering is to let the machine
understand natural language questions and give accurate answers in the form of
natural language. This technology requires the machine to store a large amount
of background knowledge. In recent years, the rapid development of knowledge
graph has made the knowledge based question answering (KBQA) more and
more popular. Traditional styles of KBQA methods mainly include semantic
parsing, information extraction and vector modeling. With the development of
deep learning, KBQA with deep learning has gradually become the mainstream
method. This paper introduces the application of deep learning in KBQA mainly…
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Views:70
Downloads:57
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OPEN ACCESS ARTICLE
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Vehicle License Plate Recognition System Based on Deep Learning in Natural Scene
- Ze Chen, Leiming Yan*, Siran Yin, Yuanmin Shi
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Journal on Artificial Intelligence, Vol.2, No.4, pp. 167-175, 2020, DOI:10.32604/jai.2020.012716
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Abstract With the popularity of intelligent transportation system, license plate
recognition system has been widely used in the management of vehicles in and out
of closed communities. But in the natural environment such as video monitoring,
the performance and accuracy of recognition are not ideal. In this paper, the
improved Alex net convolution neural network is used to remove the false license
plate in a large range of suspected license plate areas, and then the projection
transformation and Hough transformation are used to correct the inclined license
plate, so as to build an efficient license plate recognition system in natural
environment.…
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Downloads:40
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OPEN ACCESS ARTICLE
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A Learning Framework for Intelligent Selection of Software Verification Algorithms
- Weipeng Cao1, Zhongwu Xie1, Xiaofei Zhou2, Zhiwu Xu1, Cong Zhou1, Georgios Theodoropoulos3, Qiang Wang3,*
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Journal on Artificial Intelligence, Vol.2, No.4, pp. 177-187, 2020, DOI:10.32604/jai.2020.014829
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Abstract Software verification is a key technique to ensure the correctness of
software. Although numerous verification algorithms and tools have been
developed in the past decades, it is still a great challenge for engineers to
accurately and quickly choose the appropriate verification techniques for the
software at hand. In this work, we propose a general learning framework for the
intelligent selection of software verification algorithms, and instantiate the
framework with two state-of-the-art learning algorithms: Broad learning (BL) and
deep learning (DL). The experimental evaluation shows that the training efficiency
of the BL-based model is much higher than the DL-based models and…
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Views:60
Downloads:48
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OPEN ACCESS ARTICLE
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Clustering Algorithms: Taxonomy, Comparison, and Empirical Analysis in 2D Datasets
- Samih M. Mostafa1,2,*
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Journal on Artificial Intelligence, Vol.2, No.4, pp. 189-215, 2020, DOI:10.32604/jai.2020.014944
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Abstract Because of the abundance of clustering methods, comparing between
methods and determining which method is proper for a given dataset is crucial.
Especially, the availability of huge experimental datasets and transactional and
the emerging requirements for data mining and the like needs badly for
clustering algorithms that can be applied in various domains. This paper presents
essential notions of clustering and offers an overview of the significant features
of the most common representative clustering algorithms of clustering categories
presented in a comparative way. More specifically the study is based on the
numerical type of the data that the algorithm supports,…
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Views:77
Downloads:88
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OPEN ACCESS ARTICLE
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A Hybrid Approach of TLBO and EBPNN for Crop Yield Prediction Using Spatial Feature Vectors
- Preeti Tiwari1, *, Piyush Shukla1
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Journal on Artificial Intelligence, Vol.1, No.2, pp. 45-58, 2019, DOI:10.32604/jai.2019.04444
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Abstract The prediction of crop yield is one of the important factor and also challenging, to predict the future crop yield based on various criteria’s. Many advanced technologies are incorporated in the agricultural processes, which enhances the crop yield production efficiency. The process of predicting the crop yield can be done by taking agriculture data, which helps to analyze and make important decisions before and during cultivation. This paper focuses on the prediction of crop yield, where two models of machine learning are developed for this work. One is Modified Convolutional Neural Network (MCNN), and the other model is TLBO (Teacher…
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Views:2173
Downloads:850
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OPEN ACCESS ARTICLE
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Materials Selection Method Combined with Different MADM Methods
- Won-Chol Yang1.*, Son-Hak Chon1, Chol-Min Choe1, Un-Ha Kim1
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Journal on Artificial Intelligence, Vol.1, No.2, pp. 89-99, 2019, DOI:10.32604/jai.2019.07885
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Abstract Materials selection is a multiple attribute decision making (MADM) problem. A lot of MADM methods are applicable to materials selection, and it may produce considerable differences between the results of materials selection. But it is unknown which MADM method is better. So it is desirable to decide reasonable final result of materials selection in consideration of the individual results from different MADM methods. In this paper, materials selection method combined with different MADM methods is proposed. The method is based on final ranks of alternative materials, where the final ranks are determined from the ranks of the alternative materials using…
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Views:2082
Downloads:926
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OPEN ACCESS ARTICLE
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Book Retrieval Method Based on QR Code and CBIR Technology
- Qiuyan Wang1, *, Haibing Dong2
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Journal on Artificial Intelligence, Vol.1, No.2, pp. 101-110, 2019, DOI:10.32604/jai.2019.08170
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Abstract It is the development trend of library information management, which applies the mature and cutting-edge information technology to library information retrieval. In order to realize the rapid retrieval of massive book information, this paper proposes a book retrieval method combining QR code with image retrieval technology. This method analyzes the visual features of book images, design a book image retrieval method based on boundary contour and regional pixel distribution features, and realizes the association retrieval of book information combined with the QR code, so as to improve the efficiency of book retrieval. The experimental results show that, the books can…
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Views:2024
Downloads:771
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OPEN ACCESS ARTICLE
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A Face Recognition Algorithm Based on LBP-EHMM
- Tao Li1, Lingyun Wang1, Yin Chen1,*, Yongjun Ren1, Lei Wang1, Jinyue Xia2
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Journal on Artificial Intelligence, Vol.1, No.2, pp. 59-68, 2019, DOI:10.32604/jai.2019.06346
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Abstract In order to solve the problem that real-time face recognition is susceptible to illumination changes, this paper proposes a face recognition method that combines Local Binary Patterns (LBP) and Embedded Hidden Markov Model (EHMM). Face recognition method. The method firstly performs LBP preprocessing on the input face image, then extracts the feature vector, and finally sends the extracted feature observation vector to the EHMM for training or recognition. Experiments on multiple face databases show that the proposed algorithm is robust to illumination and improves recognition rate.
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Views:1577
Downloads:749
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OPEN ACCESS ARTICLE
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Assessing the Forecasting of Comprehensive Loss Incurred by Typhoons: A Combined PCA and BP Neural Network Model
- Shuai Yuan1, Guizhi Wang1,*, Jibo Chen1, Wei Guo2
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Journal on Artificial Intelligence, Vol.1, No.2, pp. 69-88, 2019, DOI:10.32604/jai.2019.06535
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Abstract This paper develops a joint model utilizing the principal component analysis (PCA) and the back propagation (BP) neural network model optimized by the Levenberg Marquardt (LM) algorithm, and as an application of the joint model to investigate the damages caused by typhoons for a coastal province, Fujian Province, China in 2005-2015 (latest). First, the PCA is applied to analyze comprehensively the relationship between hazard factors, hazard bearing factors and disaster factors. Then five integrated indices, overall disaster level, typhoon intensity, damaged condition of houses, medical rescue and self-rescue capability, are extracted through the PCA; Finally, the BP neural network model,…
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Views:1577
Downloads:656
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OPEN ACCESS ARTICLE
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Intelligent Mobile Drone System Based on Real-Time Object Detection
- Chuanlong Li1,2, Xingming Sun1,2,*, Junhao Cai3,*
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Journal on Artificial Intelligence, Vol.1, No.1, pp. 1-8, 2019, DOI:10.32604/jai.2019.06064
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Abstract Drone also known as unmanned aerial vehicle (UAV) has drawn lots of attention in recent years. Quadcopter as one of the most popular drones has great potential in both industrial and academic fields. Quadcopter drones are capable of taking off vertically and flying towards any direction. Traditional researches of drones mainly focus on their mechanical structures and movement control. The aircraft movement is usually controlled by a remote controller manually or the trajectory is pre-programmed with specific algorithms. Consumer drones typically use mobile device together with remote controllers to realize flight control and video transmission. Implementing different functions on mobile…
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Views:1325
Downloads:853
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