检索结果-南通市图书馆

Urdu Ligature Recognition System:An Evolutionary Approach

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2021年第2期66卷 1347-1367页

作者： Naila Habib Khan awais adnan AbdulWaheed Mahdi Zareei Abdallah Aldosary Ehab Mahmoud Mohamed Department of Computer Science Institute of Management SciencesPeshawar25000Pakistan Department of Information Technology Hazara UniversityMansehra21120Pakistan School of Electrical and Computer Engineering Seoul National UniversitySeoul08826South Korea Tecnologico de Monterrey School of Engineering and SciencesZapopan45201Mexico Department of Computer Science Prince Sattam Bin Abdulaziz UniversityAs Sulayyil11991Saudi Arabia Electrical Engineering Department College of EngineeringPrince Sattam Bin Abdulaziz UniversityWadi Addwasir11991Saudi Arabia Electrical Engineering Department Faculty of EngineeringAswan UniversityAswan81542Egypt

Cursive text recognition of Arabic script-based languages like Urdu is extremely complicated due to its diverse and complex *** approaches like genetic algorithms have been used in the past for various optimization as well as pattern recognition tasks,reporting exceptional *** proposed Urdu ligature recognition system uses a genetic algorithm for optimization and *** the proposed recognition system observes the processes of pre-processing,segmentation,feature extraction,hierarchical clustering,classification rules and genetic algorithm optimization and *** pre-processing stage removes noise from the sentence images,whereas,in segmentation,the sentences are segmented into ligature *** features are extracted from each of the segmented ligature ***-feature hierarchical clustering is observed that results in clustered ***,classification rules are used for the representation of the clustered *** genetic algorithm performs an optimization mechanism using multi-level sorting of the clustered data for improving the classification rules used for recognition of Urdu *** conducted on the benchmark UPTI dataset for the proposed Urdu ligature recognition system yields promising results,achieving a recognition rate of 96.72%.

关键词： Classification rules genetic algorithm intra-feature hierarchical clustering ligature recognition Urdu script

Convolutional Neural Network for Histopathological Osteosarcoma Image Classification

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2021年第12期69卷 3365-3381页

作者： Imran Ahmed Humaira Sardar Hanan Aljuaid Fakhri Alam Khan Muhammad Nawaz adnan awais Center of Excellence in Information Technology Institute of Management SciencesPeshawarPakistan Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman University(PNU)RiyadhSaudi Arabia

Osteosarcoma is one of the most widespread causes of bone cancer globally and has a high mortality *** diagnosis may increase the chances of treatment and survival however the process is time-consuming(reliability and complexity involved to extract the hand-crafted features)and largely depends on pathologists’*** Neural Network(CNN—an end-to-end model)is known to be an alternative to overcome the aforesaid ***,this work proposes a compact CNN architecture that has been rigorously explored on a Small Osteosarcoma histology Image Dataaseet(a high-class imbalanced dataset).Though,during training,class-imbalanced data can negatively affect the performance of ***,an oversampling technique has been proposed to overcome the aforesaid issue and improve generalization *** this process,a hierarchical CNN model is designed,in which the former model is non-regularized(due to dense architecture)and the later one is regularized,specifically designed for small histopathology ***,the regularized model is integrated with CNN’s basic architecture to reduce *** results demonstrate that oversampling might be an effective way to address the imbalanced class problem during *** training and testing accuracies of the non-regularized CNN model are 98%&78%with an imbalanced dataset and 96%&81%with a balanced dataset,*** regularized CNN model training and testing accuracies are 84%&75%for an imbalanced dataset and 87%&86%for a balanced dataset.

关键词： Convolutional neural network histopathological image classification osteosarcoma computer-aided diagnosis

Simple Approach on Intermixing Solar and Wind Energy and Minimizing Their Intermittent Effect

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Shanghai Jiaotong university(Science) 2019年第1期24卷 24-30页

作者： KARNI awais LUO Liwen MUMTAZ Muhammad adnan ZAKI Atta ul Munim School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University

Renewable energy resources especially wind and solar energy are emerging as the modern power sources to electrify remote areas. The main reason behind their emergence is due to their environment-friendly behavior,unlimited availability and short period for replenishment over nonrenewable energy resources. Renewable energy resources are much better than nonrenewable energy resources, but the intermittency in renewable energy resources degrades the system performance. In order to overcome the intermittency, multiple hybrid system techniques were proposed in literature that can achieve suitable results but have disadvantages of complicated control structures and high implementation cost. Considering aforementioned shortcomings, a simple balancing approach is proposed to intermix solar and wind energy together so as to utilize the available energy from both sources at a given *** is very common that solar farms are the dominating source of energy in daytime and summer, while wind farms are the dominating source of energy at night and in winter. The proposed approach delivers maximum possible power to the load by combining dominating and non-dominating resources all the time, hence mitigating the intermittency of individual resources. Compared with other approaches, the proposed approach offers key benefits with redundancy, simple design and low cost, which can be analyzed from simulation results.

关键词： intermixing intermittency renewable energy turbine correlation hybrid system

Signet Ring Cell Detection from Histological Images Using Deep Learning

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第9期72卷 5985-5997页

作者： Muhammad Faheem Saleem Syed Muhammad adnan Shah Tahira Nazir awais Mehmood Marriam Nawaz Muhammad Attique Khan Seifedine Kadry Arnab Majumdar Orawit Thinnukool Department of Computer Science UETTaxila47050Pakistan Department of Computer Science HITEC University TaxilaTaxilaPakistan Faculty of Applied Computing and Technology Noroff University CollegeKristiansandNorway Department of Civil Engineering Imperial College LondonLondon SW72AZUK College of Arts Mediaand TechnologyChiang Mai UniversityChiang Mai 50200Thailand

Signet Ring Cell(SRC)Carcinoma is among the dangerous types of cancers,and has a major contribution towards the death ratio caused by cancerous *** and diagnosis of SRC carcinoma at earlier stages is a challenging,laborious,and costly *** detection of SRCs in a patient’s body through medical imaging by incorporating computing technologies is a hot topic of *** the presented framework,we propose a novel approach that performs the identification and segmentation of SRCs in the histological images by using a deep learning(DL)technique named Mask Region-based Convolutional Neural Network(Mask-RCNN).In the first step,the input image is fed to Resnet-101 for feature *** extracted feature maps are conveyed to Region Proposal Network(RPN)for the generation of the region of interest(RoI)proposals as well as they are directly conveyed to ***,RoIAlign combines the feature maps with RoI proposals and generates segmentation masks by using a fully connected(FC)network and performs classification along with Bounding Box(bb)generation by using FC *** annotations are developed from ground truth(GT)images to perform experimentation on our developed *** introduced approach achieves accurate SRC detection with the precision and recall values of 0.901 and 0.897 respectively which can be utilized in clinical *** aim to release the employed database soon to assist the improvement in the SRC recognition research area.

关键词： Mask RCNN deep learning SRC segmentation

Thermophoresis and concentration effects in a fourth grade peristaltic flow with convective walls

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Central South University 2017年第7期24卷 1654-1662页

作者： Ali Aamir Asghar S awais M Department of Mathematics COMSATS Institute of Information TechnologyAttock 43600Pakistan Department of Mathematics COMSATS Institute of Information TechnologyIslamabad 44000Pakistan Department of Mathematics King Abdulaziz UniversityJeddah 21432Saudi Arabia

In this investigation,we have studied the peristaltic fluid flow in an asymmetric channel with convective *** grade fluid model has been utilized in view of the fact that the results of all other differential type models can be deduced as the special *** effects of heat and mass transfer are *** thermophoresis effects occur in the energy *** heat and mass boundary conditions have been given special *** wave length and low Reynolds number approximations are utilized for the *** analytic solutions for the velocity,temperature and concentration profiles are calculated using perturbation technique and elaborated in the form of graphical observations for various physical quantities.

关键词： fourth grade fluid convective boundary conditions pumping and trapping peristalsis

Intelligent Cloud Based Load Balancing System Empowered with Fuzzy Logic

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2021年第4期67卷 519-528页

作者： Atif Ishaq Khan Syed Asad Raza Kazmi Ayesha Atta Muhammad Faheem Mushtaq Muhammad Idrees Ilyas Fakir Muhammad Safyan Muhammad adnan Khan awais Qasim Department of Computer Science Government College UniversityLahore54000Pakistan Department of Information Technology Khwaja Fareed University of Engineering and Information TechnologyRahim Yar Khan64200Pakistan Department of Computer Science and Engineering University of Engineering and Technology LahoreNarowal Campus51600Pakistan Department of Computer Science Riphah International University Lahore CampusLahore54000Pakistan

Cloud computing is seeking attention as a new computing paradigm to handle operations more efficiently and *** computing uses dynamic resource provisioning and de-provisioning in a virtualized *** load on the cloud data centers is growing day by day due to the rapid growth in cloud computing *** in cloud computing is one of the fundamental properties,and elastic load balancing automatically distributes incoming load to multiple virtual *** work is aimed to introduce efficient resource provisioning and de-provisioning for better load *** this article,a model is proposed in which the fuzzy logic approach is used for load balancing to avoid underload and overload of resources.A Simulator in Matlab is used to test the effectiveness and correctness of the proposed *** simulation results have shown that our proposed intelligent cloud-based load balancing system empowered with fuzzy logic is better than previously published approaches.

关键词： Cloud computing fuzzy logic load balancing

A Novel Compact Highly Isolated UWB MIMO Antenna with WLAN Notch

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2023年第4期75卷 669-681页

作者： Muhammad awais Shahid Bashir awais Khan Muhammad Asif Nasim Ullah Hend I.Alkhammash Department of Electrical Engineering University of Engineering and TechnologyPeshawar25000Pakistan Department of Electrical Engineering University of Science and TechnologyBannu28100Pakistan Department of Electrical Engineering College of Engineering Taif UniversityAl-HawiyahTaifP.O.Box 888Saudi Arabia Department of Electrical Engineering College of EngineeringTaif UniversityP.O.Box 11099Taif21944Saudi Arabia

This paper presents a compact Multiple Input Multiple Output(MIMO)antenna with WLAN band notch for Ultra-Wideband(UWB)*** antenna is designed on 0.8mmthick low-cost FR-4 substrate having a compact size of 22mm×30 *** proposed antenna comprises of two monopole patches on the top layer of substrate while having a shared ground on its bottom *** mutual coupling between adjacent patches has been reduced by using a novel stub with shared ground *** stub consists of complementary rectangular slots that disturb the surface current direction and thus result in reducing mutual coupling between two ports.A slot is etched in the radiating patch for WLAN band *** slot is used to suppress frequencies ranging from 5.1 to 5.9 *** results show that the proposed antenna has a very good impedance bandwidth of|S11|9.98).

关键词： Multiple input multiple output(MIMO) ultra-wide band(UWB) defected ground structure envelope correlation coefficient diversity gain

Role of Air Staging in a Batch-Type Fixed Bed Biomass Combustor under Constant Primary Air

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Thermal Science 2024年第1期33卷 284-299页

作者： awais JUNEJO Yasir M.AL-ABDELI Jacobo PORTEIRO School of Engineering Edith Cowan UniversityJoondalupWA 6027Australia CINTECX Universidade de Vigo Grupo de Tecnoloxia Enerxetica(GTE)36310 VigoEspana

Staged combustion of biomass is the most suitable thermo-chemical conversion for achieving lower gaseous emissions and higher fuel conversion *** a staged fixed bed combustion of biomass,combustion air is supplied in two *** the first stage,primary air is provided below the fuel,whereas in the later stage,secondary air is supplied in the freeboard *** available literature on the effects of air staging(secondary air location) at a constant primary air flow rate on combustion characteristics in a batch-type fixed bed combustor is limited and hence warrants further *** study resolves the effect of air staging,by varying the location of secondary air in the freeboard at five secondary to total air ratios in a batch-type fixed bed *** are reported for the effects of these controlled parameters on fuel conversion rate,overall gaseous emissions(CO_(2),CO and NO_x) and temperature *** fuel used throughout was densified hardwood *** show that a primary freeboard length(distance between fuel bed top and secondary air injection) of200 mm has higher fuel conversion rates and temperatures as well as lower CO emissions,at a secondary to total air ratio of 0.75 as compared to primary freeboard length of 300 ***,NO_x emissions were found to be lower for a primary freeboard length of 300 mm as compared to 200 *** increase in secondary to total air ratio from 0.33 to 0.75 resulted in higher freeboard temperatures and lower CO as well as NO_x *** outcomes of this study will be helpful in the effective design of commercial scale biomass combustors for more efficient and environmentally friendly combustion.

关键词： fixed bed combustor biomass combustion air staging freeboard temperature burning rate gaseous emissions

Crop Breeding Chips and Genotyping Platforms： Progress, Challenges, and Perspectives

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Molecular Plant 2017年第8期10卷 1047-1064页

作者： awais Rasheed Yuanfeng Hao Xianchun Xia awais Khan Yunbi Xu Rajeev K. Varshney Zh-onghu He Institute of Crop Sciences National Wheat Improvement Center Chinese Academy of Agricultural Sciences (CAAS) Beijing 100081 China International Maize and Wheat Improvement Center (CIMMY-F) c/o CAAS Beijing 100081 China Department of Plant Pathology and Plant-Microbe Biology Cornell University Geneva NY USA International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) Patancheru 502324 India

There is a rapidly rising trend in the development and application of molecular marker assays for gene map- ping and discovery in field crops and trees. Thus far, more than 50 SNP arrays and 15 different types of genotyping-by-sequencing （GBS） platforms have been developed in over 25 crop species and perennial trees. However, much less effort has been made on developing ultra-high-throughput and cost-effective genotyping platforms for applied breeding programs. In this review, we discuss the scientific bottlenecks in existing SNP arrays and GBS technologies and the strategies to develop targeted platforms for crop mo- lecular breeding. We propose that future practical breeding platforms should adopt automated genotyping technologies, either array or sequencing based, target functional polymorphisms underpinning economic traits, and provide desirable prediction accuracy for quantitative traits, with universal applications under wide genetic backgrounds in crops. The development of such platforms faces serious challenges at both the technological level due to cost ineffectiveness, and the knowledge level due to large genotype- phenotype gaps in crop plants. It is expected that such genotyping platforms will be achieved in the next ten years in major crops in consideration of （a） rapid development in gene discovery of important traits, （b） deepened understanding of quantitative traits through new analytical models and population designs, （c） integration of multi-layer -omics data leading to identification of genes and pathways responsible for important breeding traits, and （d） improvement in cost effectiveness of large-scale genotyping. Crop breeding chips and genotyping platforms will provide unprecedented opportunities to accelerate the development of cultivars with desired yield potential, quality, and enhanced adaptation to mitigate the effects of climate change.

关键词： Single nucleotide polymorphisms (SNPs) Genotyping-by-sequencing (GBS) SNP arrays Crop breeding Genotyping platforms