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14篇 您的检索式:作者名="Asifa"
    题名 作者 年代 出处 被引量
1Peritoneoscopic placement of peritoneal dialysis catheters and bowel perforation: experience of an interventional nephrology program显示文摘AsifA Byers P Vieira CF 2003AmJ Kidney Dis2003,42,6:1
2Early arteriovenous fistula failure: a logical proposal for when and how to intervene显示文摘AsifA Roy-Chaudhury P Beathard GA 2006Clin J Am Soc Nephrol2006,1,2:1
3Identification of cellular path- ways of 'Typel' ,Thl7 T cells,TNF-c: and inducibal nitric oxide syn- thase-producing dendritic cells in autoimmune inflammation through pharmacogenomic study of cyclosporine in psoriasis 显示文摘Asifa SH Michelle AL Mayte SF 2008J mmunol2008,180,3:1
4Identification of cellular pathways of TypeL Thl7 T celia, TNF- a and inducibal nitric ox- ide syn- thase - producing dendritic cells in autoimmune inflam- mation through pharmacogenomic study of cyclosporine in psoria- sis显示文摘Asifa SH MicheUe AL Mayle SF 2008Jmmunol2008,180,3:1
5The Epigenome Network of Excellence显示文摘Asifa A Giacomo C 2005Plos Biol2005,3,5:1
6Tumor necrosis factor-alph- a gene promoter region polymorphism and the risk of coronary heart disease显示文摘Asifa GZ1 Liaquat A1 Murtaza I1 2013Scientific World Journal2013,5,20:1
7Synthesis and physico-analytical studies of some novel ferrocenyl schiff base derivatives显示文摘Zareen Akhter Asifa Nigar Muhammad Y.Razzaq 0,,:1
8Prospective evaluation of relatives for familial arrhythmogenic right ventricular cardiomyopathy/dysplasia reveals a need to broaden diagnostic criteria显示文摘M.Shoaib Hamid Mark Norman Asifa Quraishi Sami Firoozi Rajesh Thaman Juan R Gimeno Bhavesh Sachdev Edward Rowland Perry M Elliott William J McKenna 2002Journal of the American College of Cardiology2002,,8:1
9Chromodomains are protein-RNA interaction modules显示文摘Asifa A Daniele Z Peter B B 2000Nature2000,407,:1
10Activation of Transcription through Histone H4 Acetylation by MOF,an Acetyltransferase Essential for Dosage Compensation in Drosophila显示文摘Asifa A Peter B B 2000Molecular Cell2000,2,:1
11Tumor necrosis factor-alpha gene promoter region polymorphism and the risk of coronary heart dis- ease显示文摘Asifa GZ Liaquat A Murtaza I 2013Scientific World Journal2013,2013,20:1
12Darcy-Forchheimer Hybrid Nano Fluid Flow with Mixed Convection Past an Inclined Cylinder显示文摘This article aims to investigate the Darcy Forchhemier mixed convection flow of the hybrid nanofluid through an inclined extending cylinder.Two different nanoparticles such as carbon nanotubes(CNTs)and iron oxide Fe3O4 have been added to the base fluid in order to prepare a hybrid nanofluid.Nonlinear partial differential equations for momentum,energy and convective diffusion have been changed into dimensionless ordinary differential equations after using Von Karman approach.Homotopy analysis method(HAM),a powerful analytical approach has been used to find the solution to the given problem.The effects of the physical constraints on velocity,concentration and temperature profile have been drawn as well for discussion purpose.The numerical outcomes have been carried out for the drag force,heat transfer rate and diffusion rate etc.The Biot number of heat and mass transfer affects the fluid temperature whereas the Forchhemier parameter and the inclination angle decrease the velocity of the fluid flow.The results show that hybrid nanofluid is the best source of enhancing heat transfer and can be used for cooling purposes as well.M.Bilal Imran Khan Taza Gul Asifa Tassaddiq Wajdi Alghamdi Safyan Mukhtar Poom Kumam 2021Computers, Materials & Continua2021,,2:0
13Road Traffic Monitoring from Aerial Images Using Template Matching and Invariant Features显示文摘Road traffic monitoring is an imperative topic widely discussed among researchers.Systems used to monitor traffic frequently rely on cameras mounted on bridges or roadsides.However,aerial images provide the flexibility to use mobile platforms to detect the location and motion of the vehicle over a larger area.To this end,different models have shown the ability to recognize and track vehicles.However,these methods are not mature enough to produce accurate results in complex road scenes.Therefore,this paper presents an algorithm that combines state-of-the-art techniques for identifying and tracking vehicles in conjunction with image bursts.The extracted frames were converted to grayscale,followed by the application of a georeferencing algorithm to embed coordinate information into the images.The masking technique eliminated irrelevant data and reduced the computational cost of the overall monitoring system.Next,Sobel edge detection combined with Canny edge detection and Hough line transform has been applied for noise reduction.After preprocessing,the blob detection algorithm helped detect the vehicles.Vehicles of varying sizes have been detected by implementing a dynamic thresholding scheme.Detection was done on the first image of every burst.Then,to track vehicles,the model of each vehicle was made to find its matches in the succeeding images using the template matching algorithm.To further improve the tracking accuracy by incorporating motion information,Scale Invariant Feature Transform(SIFT)features have been used to find the best possible match among multiple matches.An accuracy rate of 87%for detection and 80%accuracy for tracking in the A1 Motorway Netherland dataset has been achieved.For the Vehicle Aerial Imaging from Drone(VAID)dataset,an accuracy rate of 86%for detection and 78%accuracy for tracking has been achieved.Asifa Mehmood Qureshi Naif Al Mudawi Mohammed Alonazi Samia Allaoua Chelloug Jeongmin Park 2024Computers, Materials & Continua2024,78,3:0
14Intelligent Traffic Surveillance through Multi-Label Semantic Segmentation and Filter-Based Tracking显示文摘Road congestion,air pollution,and accident rates have all increased as a result of rising traffic density andworldwide population growth.Over the past ten years,the total number of automobiles has increased significantly over the world.In this paper,a novel method for intelligent traffic surveillance is presented.The proposed model is based on multilabel semantic segmentation using a random forest classifier which classifies the images into five classes.To improve the results,mean-shift clustering was applied to the segmented images.Afterward,the pixels given the label for the vehicle were extracted and blob detection was applied to mark each vehicle.For the validation of each detection,a vehicle verification method based on the structural similarity index is proposed.The tracking of vehicles across the image frames is done using the Identifier(ID)assignment technique and particle filter.Also,vehicle counting in each frame along with trajectory estimation was done for each object.Our proposed system demonstrated a remarkable vehicle detection rate of 0.83 over Vehicle Aerial Imaging from Drone(VAID),0.86 over AU-AIR,and 0.75 over the Unmanned Aerial Vehicle Benchmark Object Detection and Tracking(UAVDT)dataset during the experimental evaluation.The proposed system can be used for several purposes,such as vehicle identification in traffic,traffic density estimation at intersections,and traffic congestion sensing on a road.Asifa Mehmood Qureshi Nouf Abdullah Almujally Saud S.Alotaibi Mohammed Hamad Alatiyyah Jeongmin Park 2023Computers, Materials & Continua2023,76,9:0
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