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Sökning: LAR1:ltu > (2010-2019)

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31.
  • Abd-Ellah, Mahmoud Khaled, et al. (författare)
  • Parallel Deep CNN Structure for Glioma Detection and Classification via Brain MRI Images
  • 2019
  • Ingår i: IEEE-ICM 2019 CAIRO-EGYPT. - : IEEE. ; , s. 304-307
  • Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
    • Although most brain tumor diagnosis studies have focused on tumor segmentation and localization operations, few studies have focused on tumor detection as a time- and effort-saving process. This study introduces a new network structure for accurate glioma tumor detection and classification using two parallel deep convolutional neural networks (PDCNNs). The proposed structure is designed to identify the presence and absence of a brain tumor in MRI images and classify the type of tumor images as high-grade gliomas (HGGs, i.e., glioblastomas) or low-grade gliomas (LGGs). The introduced PDCNNs structure takes advantage of both global and local features extracted from the two parallel stages. The proposed structure is not only accurate but also efficient, as the convolutional layers are more accurate because they learn spatial features, and they are efficient in the testing phase since they reduce the number of weights, which reduces the memory usage and runtime. Simulation experiments were accomplished using an MRI dataset extracted from the BraTS 2017 database. The obtained results show that the proposed parallel network structure outperforms other detection and classification methods in the literature.
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32.
  • Abd-Ellah, Mahmoud Khaled, et al. (författare)
  • TPUAR-Net : Two Parallel U-Net with Asymmetric Residual-Based Deep Convolutional Neural Network for Brain Tumor Segmentation
  • 2019
  • Ingår i: Image Analysis and Recognition. - Cham : Springer. ; , s. 106-116
  • Konferensbidrag (refereegranskat)abstract
    • The utilization of different types of brain images has been expanding, which makes manually examining each image a labor-intensive task. This study introduces a brain tumor segmentation method that uses two parallel U-Net with an asymmetric residual-based deep convolutional neural network (TPUAR-Net). The proposed method is customized to segment high and low grade glioblastomas identified from magnetic resonance imaging (MRI) data. Varieties of these tumors can appear anywhere in the brain and may have practically any shape, contrast, or size. Thus, this study used deep learning techniques based on adaptive, high-efficiency neural networks in the proposed model structure. In this paper, several high-performance models based on convolutional neural networks (CNNs) have been examined. The proposed TPUAR-Net capitalizes on different levels of global and local features in the upper and lower paths of the proposed model structure. In addition, the proposed method is configured to use the skip connection between layers and residual units to accelerate the training and testing processes. The TPUAR-Net model provides promising segmentation accuracy using MRI images from the BRATS 2017 database, while its parallelized architecture considerably improves the execution speed. The results obtained in terms of Dice, sensitivity, and specificity metrics demonstrate that TPUAR-Net outperforms other methods and achieves the state-of-the-art performance for brain tumor segmentation.
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33.
  • Abdel-Khalek, N.A., et al. (författare)
  • Effect of starch type on selectivity of cationic flotation of iron ore
  • 2012
  • Ingår i: Mineral Processing and Extractive Metallurgy. - 0371-9553 .- 1743-2855. ; 121:2, s. 98-102
  • Tidskriftsartikel (refereegranskat)abstract
    • Cationic flotation is one of the most widely accepted technologies for upgrading siliceous iron ore using polysaccharides (mainly starches) as depressing agents for iron bearing minerals while floating silica with amines. In this paper, a group of starches are investigated as depressants for haematite. These starches are wheat, corn, rice, potato and dextrin. The role of starch type on the selectivity of the separation process has been studied through zeta potential, adsorption measurements as well as flotation tests. The effects of type of starch and pH of the medium have been studied. The results indicate that the selectivity of the separation process is strongly affected by the type of starch used, where better results are obtained with corn starch or wheat starch in comparison to the other types. Fourier transform infrared spectroscopy measurements indicated that the interaction between starches and haematite surface is intermolecular interaction.
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34.
  • Abdelaziz, Ahmed, et al. (författare)
  • Survey on network virtualization using openflow : Taxonomy, opportunities, and open issues
  • 2016
  • Ingår i: KSII Transactions on Internet and Information Systems. - : Korean Society for Internet Information (KSII). - 1976-7277. ; 10:10, s. 4902-4932
  • Tidskriftsartikel (refereegranskat)abstract
    • The popularity of network virtualization has recently regained considerable momentum because of the emergence of OpenFlow technology. It is essentially decouples a data plane from a control plane and promotes hardware programmability. Subsequently, OpenFlow facilitates the implementation of network virtualization. This study aims to provide an overview of different approaches to create a virtual network using OpenFlow technology. The paper also presents the OpenFlow components to compare conventional network architecture with OpenFlow network architecture, particularly in terms of the virtualization. A thematic OpenFlow network virtualization taxonomy is devised to categorize network virtualization approaches. Several testbeds that support OpenFlow network virtualization are discussed with case studies to show the capabilities of OpenFlow virtualization. Moreover, the advantages of popular OpenFlow controllers that are designed to enhance network virtualization is compared and analyzed. Finally, we present key research challenges that mainly focus on security, scalability, reliability, isolation, and monitoring in the OpenFlow virtual environment. Numerous potential directions to tackle the problems related to OpenFlow network virtualization are likewise discussed
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35.
  • Abdelnasser, Amr, et al. (författare)
  • REE geochemical characteristics and satellite-based mapping of hydrothermal alteration in Atud gold deposit, Egypt
  • 2018
  • Ingår i: Journal of African Earth Sciences. - : Elsevier. - 0899-5362 .- 1464-343X. ; 145, s. 317-330
  • Tidskriftsartikel (refereegranskat)abstract
    • New geochemical data of the hydrothermal alteration zones associated with gold-bearing quartz veins at Atud mine are used for better understanding the ore evolution and exploration vectoring. ASTER and Landsat 8 OLI data are used to elucidate the distribution of gold-associated alteration zones. Three alteration zones are defined; zone 1 (sericite-kaolinite-quartz-pyrite), zone 2 (quartz-sericite-albite-pyrite), and zone 3 (chlorite-carbonate-epidote ± pyrite). Sericite and hydrothermal quartz are confined to the mineralized quartz veins. Fe-OH and OH-bearing minerals are observed along NW- and NE-trending shear zones in the Main Atud mine. The association of gold-bearing quartz veins and sericite alteration is constrained by processing ASTER- and OLI-imagery data. The geochemical data of the ore-enveloping hydrothermally altered rocks are used to assess the behavior of the REEs during the mineralization process. Mild enrichment in LREE and significant enrichment in the HREE are associated with sericite in zones (1) and (2) alterations. Carbonate alteration (zone 3) is enriched in LREE and in immobile HREE. Moreover, LREE and Eu anomalies have negative correlated with the Alteration Index (A.I.) and K2O index (K.I.) in zones 1 and 2, suggesting high mobility of LREE in K-rich hydrothermal fluids. On the other hand, HREE anomalies with increasing MgO index (M.I.) in alteration zone 3 may imply low solubility of these elements in alkaline solutions. Au anomalies linked to sericite/silica alteration is a rather meaningful vector for further exploration in the area.
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36.
  • Abdikalikova, Zamira, et al. (författare)
  • Boundedness and compactness of the embedding between spaces with multiweighted derivatives when 1
  • 2011
  • Ingår i: Czechoslovak Mathematical Journal. - : Institute of Mathematics, Czech Academy of Sciences. - 0011-4642 .- 1572-9141. ; 61:1, s. 7-26
  • Tidskriftsartikel (refereegranskat)abstract
    • We consider a new Sobolev type function space called the space with multiweighted derivatives W-p(n),(alpha) over bar, where (alpha) over bar = (alpha(0), alpha(1), ......, alpha(n)), alpha(i) is an element of R, i = 0, 1,......,n, and parallel to f parallel to W-p(n),((alpha) over bar) = parallel to D((alpha) over bar)(n)f parallel to(p) + Sigma(n-1) (i=0) vertical bar D((alpha) over bar)(i)f(1)vertical bar, D((alpha) over bar)(0)f(t) = t(alpha 0) f(t), d((alpha) over bar)(i)f(t) = t(alpha i) d/dt D-(alpha) over bar(i-1) f(t), i = 1, 2, ....., n. We establish necessary and sufficient conditions for the boundedness and compactness of the embedding W-p,(alpha) over bar(n) -> W-q,(beta) over bar,(m) when 1 <= q < p < infinity, 0 <= m < n
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37.
  • Abdollahpour, N., et al. (författare)
  • An improving working condition system (health, safety and ergonomics) survey and analysis with macroergonomics approach in a manufacturing company from Iran Power Plant Industry in 2010
  • 2013
  • Ingår i: Iran Occupational Health. - 1735-5133 .- 2228-7493. ; 10:4, s. 55-64
  • Tidskriftsartikel (refereegranskat)abstract
    • Background and aims: World experience has shown the positive effect of applying ergonomics in improving work conditions, of quality and quantity of production, reducing prevalence of work-related musculoskeletal disorders, saving costs and increase of productivity in the different contents. These are possible only with utilizing properly improving work condition system and Macroergonomics approach. The aim of the study was how determine situation and analyzing the working conditions using the macroergonomics approach in a Power Plant Industry. Methods: This study is a cross-sectional study. First, the program for improvement of work conditions were evaluated using three questionnaires including managers viewpoint (29 samples), health, safety and environment employees viewpoint (5 samples) and operating workers viewpoint (85 samples) and then three other instruments of macroergonomics were used. Results: According to the results of 1) questionnaires and corresponding tests, three of the program's goals of improving working conditions and promotion practices that have the same opinions, but in some cases had different opinions. 2) Future workshops and interviews, the lack of participatory leadership and lack of collaborative work systems for the company stated. 3) Apply ergonomics checklist of ILO, an appropriate interaction between the top and bottom surfaces revealed. Conclusion: Awakened needs of change in the middle and lower levels of organization to solve problems relate to improving working conditions of the system was created. To implement an Ergonomics Intervention Programme Technique Process requires the full support management and employees.
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38.
  • Abdollahpour, Nosrat, et al. (författare)
  • Assessment of risk factors and the prevalence of musculoskeletal disorders by QEC and Body Map operational units of the gas refinery in Iran and its Meta-Reflection
  • 2016
  • Ingår i: Journal of Health. - 2382-9710. ; 7:1, s. 35-50
  • Tidskriftsartikel (refereegranskat)abstract
    • Introduction: This study aims to evaluate the risk factors and the prevalence of WMSDs disorders using QEC and Body Map techniques in operational units took a gas refineries and its Meta-Reflection.Method and Material: This case study assessed 254 operators in three distinct phases. First, 72 workstation posture was evaluated by using of QEC. Secondly was intended for employees of WMSDs were assessed using by Body Map. After conducting interview with relevant directors, the effectiveness of such studies has been analyzed through Meta-Reflection.Results: Based on results came from QEC survey, the operators’ average scores was %53/8. Moreover, results of Body Map assessment showed that the highest organs of WMSDs were back and knee extrusions (47% and 46% respectively). Also, lack of ergonomics policy and plan within refinery has demonstrated by interviews. Meta-Reflection, on the other hand, showed that because of incomplete learning cycles in the mentioned surveys which only provide WMSDs’ status, workstations’ ergonomics condition, and introduce expert based solutions. Thus, such surveys not only have incomplete study plan, but also have less impact on improving overall health, safety and ergonomics within this organization.Conclusion: This research proves that non-ergonomic conditions result in awkward postures and subsequent physical disorders. Overall, this study has showed a gap from this kind of the work on the learning cycles at organizational levels, a trend should be considered to interactive research work on the workplaces with improved and promoted system ergonomics attitude.
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