Jun 17, 2020Open AccessArticle
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...
May 11, 2020Open AccessArticle
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. ...
Apr 16, 2020Open AccessArticle
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...
Mar 25, 2020Open AccessArticle
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...
Mar 13, 2020Open AccessArticle
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 ...
Nov 23, 2018Open AccessArticle
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
Sep 30, 2018Open AccessArticle
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
Aug 09, 2018Open AccessArticle
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
Apr 12, 2018Open AccessArticle
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
Nov 10, 2017Open AccessArticle
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