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FACE IDENTIFICATION USING BACK-PROPAGATION ADAPTIVE MULTIWAVENET
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Face Identification is an important research topic in the field of computer vision and pattern recognition and has become a very active research area in recent decades. Recently multiwavelet-based neural networks (multiwavenets) have been used for function approximation and recognition, but to our best knowledge it has not been used for face Identification. This paper presents a novel approach for the Identification of human faces using Back-Propagation Adaptive Multiwavenet. The proposed multiwavenet has a structure similar to a multilayer perceptron (MLP) neural network with three layers, but the activation function of hidden layer is replaced with multiscaling functions. In experiments performed on the ORL face database it achieved a recognition rate of 97.75% in the presence of facial expression, lighting and pose variations. Results are compared with its wavelet-based counterpart where it obtained a recognition rate of 10.4%. The proposed multiwavenet demonstrated very good recognition rate in the presence of variations in facial expression, lighting and pose and outperformed its wavelet-based counterpart.

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Publication Date
Sat Apr 30 2022
Journal Name
Iraqi Journal Of Science
Low Latency UHD Adaptive Video Bitrate Streaming Based on HEVC Encoder Configurations and Http2 Protocol
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      Applying 4K, (Ultra HD) Real-time video streaming via the internet network, with low bitrate and low latency, is the challenge this paper addresses. Compression technology and transfer links are the important elements that influence video quality. So, to deliver video over the internet or another fixed capacity medium, it is essential to compress the video to more controllable bitrates (customarily in the 1-20 Mbps range). In this study, the video quality is examined using the H.265/HEVC compression standard, and the relationship between quality of video and bitrate flow is investigated using various constant rate factors, GOP patterns, quantization parameters, RC-lookahead, and other types of video motion sequences. The ultra

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Publication Date
Wed Jan 15 2025
Journal Name
Kufa Journal Of Arts
Compound thought :Or face crises from oneself to politics A Philosophical Study on the Editions of Edgar Moran
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Publication Date
Sun Jul 01 2018
Journal Name
2018 2nd International Conference On Imaging, Signal Processing And Communication (icispc)
Analogy-based Common-Sense Knowledge for Opinion-Target Identification and Aggregation
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The development of Web 2.0 has improved people's ability to share their opinions. These opinions serve as an important piece of knowledge for other reviewers. To figure out what the opinions is all about, an automatic system of analysis is needed. Aspect-based sentiment analysis is the most important research topic conducted to extract reviewers-opinions about certain attribute, for instance opinion-target (aspect). In aspect-based tasks, the identification of the implicit aspect such as aspects implicitly implied in a review, is the most challenging task to accomplish. However, this paper strives to identify the implicit aspects based on hierarchical algorithm incorporated with common-sense knowledge by means of dimensionality reduction.

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Publication Date
Tue Aug 31 2021
Journal Name
Iraqi Journal Of Science
Detection and Identification of Novel Genes from Fungi Isolated from Wastewater
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     The environment in Mosul city is very rich, containing a wide variety of microorganisms which have not been recognised for a long time. Five new fungal genes were identified and registered for the first time in the gene bank. These included Fusarium falciforme 2020-06-MIK-F1 genes for 5.8S rRNA with Accession no. LC555741, Nectriaceae sp. 2020-06-MIK-F2 genes for ITS1 with Accession no. LC555742, Trichoderma asperellum MIK3 genes for 5.8S rRNA with Accession no. LC575020, Penecillum sp. MIK4 genes for 5.8S rRNA with Accession no. LC575021, and Neurospora crassa MIK5 genes for 5.8S rRNA with Accession no. LC575022.   These fungal genes were isolated from wastewater of Khosr river in Mosul city/ Iraq, whi

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Publication Date
Thu Jun 30 2016
Journal Name
Al-kindy College Medical Journal
mmunohistochemical Identification And Quantification Of Brown Adipocytes In Human Adipose Tissue.
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Background: Obesity is a worldwide challenge and is closely
connected to many metabolic diseases. Two types of
adipose tissue, white adipose tissue (WAT) and brown
adipose tissue (BAT) have been identified. White fat cells
store chemical energy, brown adipocytes defend against
hypothermia, obesity and diabetes.
Objective: To localize and quantify brown adipocytes in
human subcutaneous (S) and visceral (V) adipose tissue by
histology and immunohistochemistry.
Type of the study: A cross –sectional study.
Methods: Adipose tissue was obtained from histopathology
specimens taken from ten patients, of different age, sex and
body mass index (BMI), undergoing surgery for different
pathologies

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Publication Date
Thu Apr 27 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Isolation and Identification of causative agents from some Iraqi Banknote currency
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   One hundred and twenty eight currency notes samples 250, 500, and 1000 Iraqi Dinars (ID) values were collected from students, markets, banks, and hospitals in Erbil city , Iraq. The results showed that all collected samples were contaminated with one or more bacteria and fungi  species representing 100% contamination and none from the new (control) notes. Seventeen bacterial species and twelve fungal species were isolated, which include Staphylococcus aureus (83.3%), Streptococcus pyogenes (83.3%), Pseudomonas species (83.3%), Aspergillus niger (83.3%), Klebsiella species (75%), Staphylococcus epidermidis (66.6%), and Escherichia coli (66.6%) being the most prevalent. The lower values of currency notes (250 ID and 500 I

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Publication Date
Wed Nov 24 2021
Journal Name
Iraqi Journal Of Science
Prevalence and Identification of Some Ocular Bacterial Infections in Baghdad City
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The study included 176 patients attended to Iben AL-Haithem hospital of ophthalmology in Baghdad city , at age of (14-77) years from the period from September 2016-April 2017, there were 138(78%) patients having a positive culture of ocular bacterial infections. Men were representing 41% while women 59%, the patients with bacterial ocular infection from Baghdad were55% while the internally displaced were 45% , the patients with ocular bacterial infections were representing 20% at mean age of 21.6±0.3y, 26% at 37.5±0.21y , 24% at53.5±0.23 y and 30% at69.5±0.10 y. The results showed 37% of the patients with ocular bacterial infections were having a history of diabetes mellitus and 44% with high blood pressure at mean age of 69.5±0.10

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Publication Date
Thu Oct 01 2015
Journal Name
Applied Mathematics And Computation
Identification of the time-dependent conductivity of an inhomogeneous diffusive material
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Publication Date
Wed Nov 28 2018
Journal Name
Iraqi Journal Of Science
Isolation and Identification Candida spp from Urine and Antifungal Susceptibility Test
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     Candida ssp are of medical importance because they are the most common opportunistic mycosis worldwide, a common cause of nosocomial urinary tract infections (UTIs), oral candidiasis and genitourinary candidiasis.  The development of Candida spp infection depends on several factors such as age, sex, and immunity of the host-pathogen relationship. They are resistance to one or more antifungal. The purpose of these studies to isolation and identification of Candida spp from urine sample and investigation of susceptibility of these strains to Amphotericin B andFluconazole. There are 105 Urine sample of the renal failure were collected using a sterile urinary cap, different diagnostic

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Publication Date
Tue Jan 01 2019
Journal Name
Biochem. Cell. Arch
ISOLATION, IDENTIFICATION AND EVALUATION OF LACTIC ACID BACTERIA AS ANTIBACTERIAL ACTIVITY
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Five species of Lactic acid bacteriawere isolated from raw milk, yoghurt, vegetables and pickles, Lactobacillus plantarum, Lactobacillus acidophilus, Lactobacillus brevis, Lactobacillus casei and Lactobacillus bulgaricus isolates were identified by 16S rRNA gene. Evaluate of antimicrobial activity against all the bacterial strains Staphylococcus aureus, Salmonella spp., Pseudomonas fluorescens, Escherichia coli, Bacillus cereus and Bacillus subtilis. It showed that bacteriocin of Lactic acid bacteriamore effective than supernatant of lactic acid bacteria, the results showed that isolatemost efficient isolate belonging to Lactobacillus brevis, the diameter of the inhibition of the bacteriocin of Lactobacillus brevis were 27.7, 26.3 and 25.1

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