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An automatic lip reading for short sentences using deep learning nets
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One study whose importance has significantly grown in recent years is lip-reading, particularly with the widespread of using deep learning techniques. Lip reading is essential for speech recognition in noisy environments or for those with hearing impairments. It refers to recognizing spoken sentences using visual information acquired from lip movements. Also, the lip area, especially for males, suffers from several problems, such as the mouth area containing the mustache and beard, which may cover the lip area. This paper proposes an automatic lip-reading system to recognize and classify short English sentences spoken by speakers using deep learning networks. The input video extracts frames and each frame is passed to the Viola-Jones to detect the face area. Then 68 landmarks of the facial area are determined, and the landmarks from 48 to 68 represent the lip area extracted based on building a binary mask. Then, the contrast is enhanced to improve the quality of the lip image by applying contrast adjustment. Finally, sentences are classified using two deep learning models, the first is AlexNet, and the second is VGG-16 Net. The database consists of 39 participants (32 males and 7 females). Each participant repeats the short sentences five times. The outcomes demonstrate the accuracy rate of AlexNet is 90.00%, whereas the accuracy rate for VGG-16 Net is 82.34%. We concluded that AlexNet performs better for classifying short sentences than VGG-16 Net.

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Publication Date
Thu Dec 01 2022
Journal Name
Iaes International Journal Of Artificial Intelligence
Reduced hardware requirements of deep neural network for breast cancer diagnosis
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Identifying breast cancer utilizing artificial intelligence technologies is valuable and has a great influence on the early detection of diseases. It also can save humanity by giving them a better chance to be treated in the earlier stages of cancer. During the last decade, deep neural networks (DNN) and machine learning (ML) systems have been widely used by almost every segment in medical centers due to their accurate identification and recognition of diseases, especially when trained using many datasets/samples. in this paper, a proposed two hidden layers DNN with a reduction in the number of additions and multiplications in each neuron. The number of bits and binary points of inputs and weights can be changed using the mask configuration

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Publication Date
Mon Jan 08 2024
Journal Name
Al-academy
Aesthetics of experimentation In short television films
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Experimentation Multi effective and fertile grew human desire to discover new ways to express beauty in artwork .And dabble term experimentation in the performing arts and arts architecture, cinema and television in the test forms and interest in the visual effects and movements seek to establish and beauty and schools of thought in literature and art. This study aims to identify

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Publication Date
Mon Feb 04 2019
Journal Name
Journal Of The College Of Education For Women
THOUGHT PRESENTATION IN KATHRINE MANSFIELD’S SHORT STORIES
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To cite the short stories of Kathrine Mansfield, all contain characters who are
revealed through their own thoughts. In her stories, the world is always seen through
the eyes of her characters in the form of points of view presented to the readers
through the characters' minds. This way of revealing characters and figuring out the
world, through the presentation of the characters' thoughts, is linked to the 'stream of
consciousness.' Kathrine Mansfield has been compared with Virginia Woolf in
particular in that both writers used the thoughts and the points of view of their
characters as material for their work through the stream of consciousness.
According to Leech and Short (1981), there are five linguistic techn

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Publication Date
Sat Oct 31 2020
Journal Name
International Journal Of Intelligent Engineering And Systems
Automatic Computer Aided Diagnostic for COVID-19 Based on Chest X-Ray Image and Particle Swarm Intelligence
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Publication Date
Sun Feb 03 2019
Journal Name
Journal Of The College Of Education For Women
Reading Trend in the Recent School Book
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Reading Trend in the Recent school book

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Publication Date
Mon Feb 03 2020
Journal Name
College Of Islamic Sciences
 Constructive critical reading by the Arab poet
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Our critical history is marked by the presence of eminent poets who have tried to read, as for their texts, such as Al-Mutanabbi, Ibn Abd Rabu and Ibn Arabi. As for the texts of others, such as Al-Farazdaq, Jarir, and Omar bin Abi Rabi'a, and what is distinctive in their readings was that they were texts corresponding to the reading text, then the reading of Jarir Naqdah and Omar bin Abi Rabi`a was an opposition and Ibn Abd Rabu was scrutinized and Ibn Arabi was an interpretation and al-Mutanabi an explanation, and I found that these in their readings constitute a specificity that must be revealed The way of this research (constructive critical reading by the Arab poet - a critical study -) their poor are critical because criticism is pr

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Publication Date
Tue Oct 28 2025
Journal Name
Journal Of Baghdad College Of Dentistry
Incidence of Cleft Lip and Palate in Al-Ramadi City (Descriptive Epidemiological Study)
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Background Birth defects are one of the causes of pediatric disability and mortality in all around the world. Data on birth defects from population-based studies originating from developing countries are lacking. Cleft lip (CL), cleft lip and palate (CLP), and isolated cleft palate (CP), collectively termed oral clefts, occur in all races, both sexes, and all socioeconomic groups and vary internationally (1). The main aim of this research is to establish the frequency of cleft lip and/or palate in the population of the Al-Ramadi City, and to characterize the demographic features of affected individuals and find possible risk factors. Materials and methods We conducted a survey of the Educational Maternal and Pediatric Hospital in Al-Ramadi

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Publication Date
Fri Sep 17 2021
Journal Name
Review Of International Geographical Education Online
Following the Parashot Strategy in Developing Reading Understanding Skills among Female Students in the1st Middle Grade in Reading Material
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The research aimed to know the effect of the Parashot strategy in developing the reading comprehension skills of first-grade intermediate students in reading. The researchers put the following two null hypotheses: There is no statistically significant difference at the level (0.05) between the average scores of the experimental group students who study the subject Reading with the Parashot strategy in the pre and post-tests in developing reading comprehension skills as a whole. There is no statistically significant difference at the level (0.05) between the average scores of the experimental group students who study the reading material using the Parashot strategy and the average scores of the control group students who study the same subje

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Publication Date
Thu Feb 01 2024
Journal Name
Journal Of Orthodontic Science
Presurgical management trends and nasoalveolar molding usage for infants with cleft lip and palate in the capital of a developing country
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BACKGROUNDS Nasoalveolar molding (NAM) application is among presurgical management (PSM) techniques used for infants with cleft lip and palate (CLP). It helps to approximate the palatal cleft and to reshape the nasoalveolar complex prior to primary lip repair. This study aimed to explore types of PSM and the dental speciality provision for infants with CLP in Baghdad. The status of NAM usage and surgeons’ perceptions toward NAM usage were assessed. MATERIALS AND METHODS This is a cross-sectional paper-based questionnaire study that collected responses of surgeons perform primary lip and nose repair regarding PSM. The questionnaire was distributed amongst public and private hospitals in Baghdad. Twenty surgeons were enrolled (only those su

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Publication Date
Fri Jan 01 2021
Journal Name
Indonesian Journal Of Electrical Engineering And Computer Science
BotDetectorFW: an optimized botnet detection framework based on five features-distance measures supported by comparisons of four machine learning classifiers using CICIDS2017 dataset
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<p><span>A Botnet is one of many attacks that can execute malicious tasks and develop continuously. Therefore, current research introduces a comparison framework, called BotDetectorFW, with classification and complexity improvements for the detection of Botnet attack using CICIDS2017 dataset. It is a free online dataset consist of several attacks with high-dimensions features. The process of feature selection is a significant step to obtain the least features by eliminating irrelated features and consequently reduces the detection time. This process implemented inside BotDetectorFW using two steps; data clustering and five distance measure formulas (cosine, dice, driver &amp; kroeber, overlap, and pearson correlation

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