OALib Journal
  OALib Journal is an all-in-one open access journal (ISSN Print: 2333-9705, ISSN Online: 2333-9721). It accepts a manuscript for the peer-review processing, typesetting, publication and then allocated to one of the 322 subject areas. The article processing charge for publishing in OALib journal is Only $99. For more details, please contact service@oalib.com. Submit now
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Jun 17, 2020Open    AccessArticle

Research Progress of Automatic Question Answering System Based on Deep Learning

Shiyao Zhao, Zhezhi Jin
With the rapid development of deep learning, a large number of machine reading comprehension models based on deep learning have emerged. Firstly, the paper points out the shortcomings of traditional search engines and explains the advantages of automatic question answering systems compared with them. Secondly, it summarizes the development process of the deep learning-based machine reading comprehension model, and expounds the overall framework and operation principle of the model, as well as th...
Open Access Library J. Vol.7, 2020
Doi:10.4236/oalib.1106046


May 11, 2020Open    AccessArticle

Deep Learning Convolution Neural Network to Detect and Classify Tomato Plant Leaf Diseases

Thair A. Salih, Ahmed J. Ali, Mohammed N. Ahmed
The tomato crop is an important staple in the ?market and it is one of the most common crops daily ?consumed. Plant or crop diseases cause reduction of quality and quantity of the production; therefore detection and classification of these diseases are very necessary. There are many types of diseases that infect ?tomato plant like (bacterial spot, late blight, sartorial leaf ?spot, tomato mosaic and yellow curved). Early detection of plant diseases increases production and improves its quality. ...
Open Access Library J. Vol.7, 2020
Doi:10.4236/oalib.1106296


Apr 16, 2020Open    AccessArticle

An Expert System for Diagnosis and Treatment of Mental Ailment

Stanley Ikechukwu Oguoma, Kizito Kanayo Uka, Chekwube Alphonsus Chukwu, Emeka Christian Nwaoha
The stigmatization and the accompanying problems with mentally challenged persons in the third world countries like Nigeria in getting good medication are better imagined than experienced. This paper presents the design, implementation of expert system for the diagnosis and treatment of mental ailment on interactive platform for remote consultation and monitoring of mental health patients within and outside the hospital. The study of the existing system was carried out using Structural System An...
Open Access Library J. Vol.7, 2020
Doi:10.4236/oalib.1106166


Mar 25, 2020Open    AccessArticle

Recurrent Neural Networks and Deep Neural Networks Based on Intrusion Detection System

Rabeb Zarai, Mnaouer Kachout, Mohamed A. G. Hazber, Mohammed A. Mahdi
The computer security has become a major challenge. Tools and mechanisms have been developed to ensure a level of compliance. These include the Intrusion De-tection Systems (IDS). The principle of conventional IDS is to detect attempts to attack a network and to identify abnormal activities and behaviors. The reasons, including the uncertainty in searching for types of attacks and the increasing com-plexity of advanced cyber-attacks, IDS calls for the need for integration of meth-ods such as Dee...
Open Access Library J. Vol.7, 2020
Doi:10.4236/oalib.1106151


Mar 13, 2020Open    AccessArticle

Contribution of Deep Learning Algorithm to Improve Channel Estimation Performance

Lassaad Smirani
In this article, we applied Deep Learning on LTE-A uplink channel estimation system. The work involved creating of two SC-FDMA databases for training and for test, based on three types of channel propagation models. The first section of this work consists of applying an Artificial Neural Network to estimate the channel of SC-FDMA link. Neural Network training is an iterative process which consists on adapting the values of its parameters: weights and bias. After training, the Neural Network was ...
Open Access Library J. Vol.7, 2020
Doi:10.4236/oalib.1106150


Nov 23, 2018Open    AccessArticle

An Investigative Analysis on Mapping X-Ray to Live Using Convolution Neural Networks for Detection of Genu Valgum

Satyake Bakshi
Introduction: Bow Legs and Knock Knees are quite common in growing children, which usually affect the lower portions of the body, however such disorders usually do not have any pathological significance. In this paper, we investigate a method using deep learning to correctly draw a boundary between a physiologically normal knee and a genu valgum. Objective
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Open Access Library J. Vol.5, 2018
Doi:10.4236/oalib.1105009


Sep 30, 2018Open    AccessArticle

Design and Development of High School Artificial Intelligence Textbook Based on Computational Thinking

Yanfang Yu, Yuan Chen
Big data and deep learning technology have once again set off a boom in artificial intelligence. Artificial intelligence has been a major development strategy in many countries. The Chinese government has also written this into the “13th Five-Year Plan”, and the Ministry of Education has also launched with the reform measures for artificial intelligence education, the deep integration of “artificial intelligence education” has b
...
Open Access Library J. Vol.5, 2018
Doi:10.4236/oalib.1104898


Aug 09, 2018Open    AccessArticle

The Leap of Mind of Linguistic Humans over Animals

Zi-Jian Cai
Recently, it was suggested by Cai a new semantic/syntactic/episodic model of language, encompassing the sentential meanings to the neural linguistic components, and making it possible to install the whole linguistic functions into robots through the three semantic/syntactic/episodic components. In this article, it is considered some improvements of language brought to the brain and mind of humans over animals, and accordingly some
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Open Access Library J. Vol.5, 2018
Doi:10.4236/oalib.1104771


Apr 12, 2018Open    AccessArticle

Analysis and Reflection on the Utilization of Foreign Academic E-Book—An Empirical Study Based on 367 Users of a University

Jiayin Liu, Chen Chen
Based on the form of questionnaire, this paper explores the use of foreign academic e-books by teachers and students in a certain school from a subjective view. 367 Users’ behavior, habits and needs were analyzed. Based on the results of the analysis, four suggestions are put forward to improve the overall utilization: Promote the localization of interface, pay attention to users’ advice while
...
Open Access Library J. Vol.5, 2018
Doi:10.4236/oalib.1104500


Nov 10, 2017Open    AccessArticle

Audio Noise Reduction Using Low Pass Filters

Ali Osman Mohammed Salih
The study aimed to filter and remove noise from audio, and in this study researcher followed the descriptive analytical method. The study sample consisted of an audio file and has been save Audio of on a formula (WAV), and the study used matlab 7.10.0 to read sound and design low pass filter, then insert the audio signal with the noise signal into the filter and output a signal audio without noise. The research
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Open Access Library J. Vol.4, 2017
Doi:10.4236/oalib.1103709


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