检索结果-南通市图书馆

Adaptive Runtime Monitoring of Service Level Agreement Violations in Cloud Computing

Computers, Materials & Continua 2022年第6期71卷 4199-4220页

作者： Sami Ullah Khan Babar Nazir Muhammad Hanif Akhtar Ali Sardar Alam usman habib Department of Computer Science COMSATS UniversityAbbottabad CampusPakistan Faculty of Computer Science and Engineering Ghulam Ishaq Khan(GIK)Institute of Engineering Sciences and Technology TopiPakistan IFahja Pvt Limited PeshawarPakistan Department of Computer Science National University of Computer and Emerging Sciences IslamabadChiniot-Faisalabad CampusPakistan

The cloud service level agreement(SLA)manage the relationship between service providers and consumers in cloud *** is an integral and critical part of modern era IT vendors and communication *** to low cost and flexibility more and more consumers delegate their tasks to cloud providers,the SLA emerges as a key aspect between the consumers and *** monitoring of Quality of Service(QoS)attributes is required to implement SLAs because of the complex nature of cloud *** other factors,such as user reliability,satisfaction,and penalty on violations are also taken into ***,there is no such policy of cloud SLA monitoring to minimize SLA *** this work,we have proposed a cloud SLA monitoring policy by dividing a monitoring session into two parts,for critical and non-critical *** critical and non-critical parameters will be decided on the interest of the consumer during SLA *** will help to shape a new comprehensive SLA based Proactive Resource Allocation Approach(RPAA)which will monitor SLA at runtime,analyze the SLA parameters and try to find the possibility of SLA *** also have implemented an adaptive system for allocating cloud IT resources based on SLA violations and *** have defined two main components of SLA-PRAA i.e.,(a)Handler and(b)Accounting and Billing *** have also described the function of both components through *** experimental results validate the performance of our proposed method in comparison with state-of-the-art cloud SLA policies.

关键词： Energy consumption penalty calculation proactive resource allocation service level agreement(SLA)monitoring SLA violation detection

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Early-Stage Segmentation and Characterization of Brain Tumor

引用

Computers, Materials & Continua 2022年第10期73卷 1001-1017页

作者： Syed Nauyan Rashid Muhammad Hanif usman habib Akhtar Khalil Omair Inam Hafeez Ur Rehman Department of Computer Science National University of Computer and Emerging Sciences IslamabadPeshawar CampusPakistan Faculty of Computer Science and Engineering Ghulam Ishaq Khan(GIK)Institute of Engineering Sciences and TechnologyTopiPakistan IFahja Pvt Limited PeshawarPakistan Department of Electrical and Computer Engineering COMSATS University IslamabadPakistan

Gliomas are the most aggressive brain tumors caused by the abnormal growth of brain *** life expectancy of patients diagnosed with gliomas decreases *** gliomas are diagnosed in later stages,resulting in imminent *** average,patients do not survive 14 months after *** only way to minimize the impact of this inevitable disease is through early *** Magnetic Resonance Imaging(MRI)scans,because of their better tissue contrast,are most frequently used to assess the brain *** manual classification of MRI scans takes a reasonable amount of time to classify brain *** this,dealing with MRI scans manually is also cumbersome,thus affects the classification *** eradicate this problem,researchers have come up with automatic and semiautomatic methods that help in the automation of brain tumor classification ***,many techniques have been devised to address this issue,the existing methods still struggle to characterize the enhancing *** is because of low variance in enhancing region which give poor contrast in MRI *** this study,we propose a novel deep learning based method consisting of a series of steps,namely:data pre-processing,patch extraction,patch pre-processing,and a deep learning model with tuned hyper-parameters to classify all types of gliomas with a focus on enhancing *** trained model achieved better results for all glioma classes including the enhancing *** improved performance of our technique can be attributed to several ***,the non-local mean filter in the pre-processing step,improved the image detail while removing irrelevant ***,the architecture we employ can capture the non-linearity of all classes including the enhancing ***,the segmentation scores achieved on the Dice Similarity Coefficient(DSC)metric for normal,necrosis,edema,enhancing and non-enhancing tumor classes are 0.95,0.97,0.91,0.93,0.95;respectively.

关键词： Segmentation CNN characterization brain tumor MRI

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Reinforcing Artificial Neural Networks through Traditional Machine Learning Algorithms for Robust Classification of Cancer

引用

Computers, Materials & Continua 2023年第5期75卷 4293-4315页

作者： Muhammad Hammad Waseem Malik Sajjad Ahmed Nadeem Ishtiaq Rasool Khan Seong-O-Shim Wajid Aziz usman habib Department of Computer Sciences and Information Technology University of Azad Jammu and KashmirMuzaffarabad13100Pakistan Department of Computer Science and AI College of Computer Science and EngineeringUniversity of JeddahJeddah23890Saudi Arabia Department of Computer and Network Engineering College of Computer Science and EngineeringUniversity of JeddahJeddah23890Saudi Arabia Department of AI&DS School of ComputingNational University of Computer and Emerging SciencesIslamabad44000Pakistan

Machine Learning(ML)-based prediction and classification systems employ data and learning algorithms to forecast target ***,improving predictive accuracy is a crucial step for informed *** the healthcare domain,data are available in the form of genetic profiles and clinical characteristics to build prediction models for complex tasks like cancer detection or *** ML algorithms,Artificial Neural Networks(ANNs)are considered the most suitable framework for many classification *** network weights and the activation functions are the two crucial elements in the learning process of an *** weights affect the prediction ability and the convergence efficiency of the *** traditional settings,ANNs assign random weights to the *** research aims to develop a learning system for reliable cancer prediction by initializing more realistic weights computed using a supervised setting instead of random *** proposed learning system uses hybrid and traditional machine learning techniques such as Support Vector Machine(SVM),Linear Discriminant Analysis(LDA),Random Forest(RF),k-Nearest Neighbour(kNN),and ANN to achieve better accuracy in colon and breast cancer *** system computes the confusion matrix-based metrics for traditional and proposed *** proposed framework attains the highest accuracy of 89.24 percent using the colon cancer dataset and 72.20 percent using the breast cancer dataset,which outperforms the other *** results show that the proposed learning system has higher predictive accuracies than conventional classifiers for each dataset,overcoming previous research ***,the proposed framework is of use to predict and classify cancer patients ***,this will facilitate the effective management of cancer patients.

关键词： ANN decision support systems gene-expression data hybrid classification machine learning predictive analytics

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Frequency Reconfigurable Antenna for Portable Wireless Applications

引用

Computers, Materials & Continua 2021年第9期68卷 3015-3027页

作者： Shakir Ullah Sadiq Ullah Inzamam Ahmad Wasi Ur Rehman Khan Toufeeq Ahmad usman habib Mahmoud A.Albreem Mohammed H.Alsharif Peerapong Uthansakul Department of Telecommunication Engineering University of Engineering and TechnologyMardanKPPakistan School of Computer Science and Electronic Engineering Bangor UniversityBangorLL572DGUnited Kingdom Department of Electronics and Communications Engineering A’Sharqiyah UniversityIbra400Oman Department of Electrical Engineering College of Electronics and Information EngineeringSejong UniversitySeoul05006Korea School of Telecommunication Engineering Suranaree University of TechnologyNakhon RatchasimaThailand

In this paper,the design and experimental evaluation of a hexagonalshaped coplanar waveguide(CPW)-feed frequency reconfigurable antenna is presented using flame retardant(FR)-4 substrate with size of 37×35×1.6 *** antenna is made tunable to three different modes through the status of two pin diodes to operate in four distinct frequency bands,i.e.,2.45 GHz wireless fidelity(Wi-Fi)in MODE 1,3.3 GHz(5G sub-6 GHz band)in MODE 2,2.1 GHz(3G Long Term Evolution(LTE)-advanced)and 3.50 GHz Worldwide Interoperability for Microwave Access(WiMAX)in MODE *** optimization through simulation modeling shows that the proposed antenna can provide adequate gain(1.44∼2.2 dB),sufficient bandwidth(200∼920 MHz)and high radiation efficiency(80%∼95%)in the four resonating frequency *** standing wave ratio(VSWR)<1.5 is achieved for all bands with properly matched characteristics of the *** validate the simulation results,fabrication of the proposed optimized design is performed,and experimental analysis is found to be in a considerable amount of *** to its reasonably small size and support of multiple frequency bands operation,the proposed antenna can support portable devices for handheld 5G and Wireless LAN(WLAN)applications.

关键词： LTE WiMAX coplanar waveguide frequency reconfigurable antenna

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Perovskite-type lanthanum ferrite based photocatalysts:Preparation,properties,and applications

引用

Journal of Energy Chemistry 2022年第3期31卷 314-338,I0009页

作者： Muhammad Humayun habib Ullah Muhammad usman Aziz habibi-Yangjeh Asif Ali Tahir Chundong Wang Wei Luo School of Optical and Electronic Information Wuhan National Laboratory for OptoelectronicsEngineering Research Center for Functional Ceramics of the Ministry of EducationHuazhong University of Science and TechnologyWuhan 430074HubeiChina Environment and Sustainability Institute University of ExeterPenryn TR109FECornwallUnited Kingdom Center of Research Excellence in Nanotechnology King Fahd University of Petroleum and Minerals(KFUPM)Dhahran 31261Saudi Arabia Department of Chemistry Faculty of ScienceUniversity of Mohaghegh ArdabiliArdabili P.O.Box 179ArdabilIran

Clean energy and a sustainable environment are grand challenges that the world is facing which can be addressed by converting solar energy into transportable and storable fuels(chemical fuel).The main scientific and technological challenges for efficient solar energy conversion,energy storage,and environmental applications are the stability,durability,and performance of low-cost functional *** different nanomaterials,perovskite type LaFeO_(3)has been extensively investigated as a photocatalyst due to its abundance,high stability,compositional and structural fexibility,high electrocatalytic activity,efficient sunlight absorption,and tunable band gap and band ***,it is urgent to write a comprehensive review to highlight the trend,challenges,and prospects of LaFeO_(3)in the field of photocatalytic solar energy conversion and environment *** critical review summarizes the history and basic principles of ***,it reviews in detail the LaFeO_(3),applications,shortcomings,and activity enhancement strategies including the design of nanostructures,elemental doping,and heterojunctions construction such as Type-I,Type-II,Z-Type,and uncommon ***,the optical and electronic properties,charge carriers separation,electron transport phenomenon and alignment of the band gaps in LaFeO_(3)-based heterostructures are comprehensively discussed.

关键词： Perovskite-type LaFeO_(3) Solar fuel Photocatalysis Doping Heterostructures

来源：

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

Treatment outcomes and adverse drug reactions among patients with drug-resistant tuberculosis receiving all-oral,long-term regimens:First record viewing report from Pakistan

引用

Asian Pacific Journal of Tropical Medicine 2023年第2期16卷 58-64,I0003页

作者： Hira Aslam Asad Omar Razia Fatima usman Rasool Aashifa Yaqoob Waseem Ullah Aamir Khan Yusra habib Khan Tauqeer Hussain Mallhi Provincial Tuberculosis Control Program Punjab Pakistan Cardio-metabolic Division CCL Research Laboratories Lahore PunjabPakistan Common Management Unit National Tuberculosis Control Program of PakistanIslamabadPakistan Department of Pharmacy Practice Shifa College of Pharmaceutical SciencesShifa Tameer-e-Millat UniversityIslamabadPakistan Association for Social Development IslamabadPakistan Department of Clinical Pharmacy College of PharmacyJouf UniversitySakakaAl-Jouf ProvinceSaudi Arabia

Objective:To assess the effectiveness and adverse drug reactions of all-oral regimens for patients with multidrug-resistant ***:This retrospective study was conducted at 10 Programmatic Management of Drug Resistant Tuberculosis sites in Punjab province of *** receiving treatment for drug resistant tuberculosis from July 2019 to December 2020 with at least interim result i.e.6th month culture conversion or final outcomes(cured,complete,lost to follow-up,failure,death)available,were included in the *** was extracted from electronic data management *** the reporting and management of adverse drug events,active tuberculosis drug safety monitoring and management was implemented across all *** the data was analyzed using SPSS version ***:Out of 947 drug resistant tuberculosis patients included in this study,579(68%)of the patients had final outcomes *** these,384(67.9%)successfully completed their *** of 368(32%)patients who had their interim results available,all had their 6th month culture *** new medications was thought to result in serious adverse outcomes such as QT ***,this study did not record any severe adverse events among ***:All-oral regimens formulation guided by overall treatment effectiveness resulted in treatment outcomes comparable to those obtained with traditional injectable treatment.

关键词： All-oral long-term regimens Long-term regimens Bedaquiline Linezolid Clofazimine Drug resistant tuberculosis Treatment outcomes aDSM

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Predictive modelling of volumetric and Marshall properties of asphalt mixtures modified with waste tire-derived char:A statistical neural network approach

引用

Journal of Road Engineering 2024年第3期4卷 318-333页

作者： Nura Shehu Aliyu Yaro Muslich Hartadi Sutanto Noor Zainab habib Aliyu usman Abiola Adebanjo Surajo Abubakar Wada Ahmad Hussaini Jagaba Department of Civil and Environmental Engineering Universiti Teknologi PETRONASSeri Iskandar 32610Malaysia Department of Civil Engineering Ahmadu Bello UniversityZaria 810107Nigeria Institute of Infrastructure and Environment Heriot-Watt UniversityDubai 294345United Arab Emirates School of Civil Engineering Central South UniversityChangsha 410075China Interdisciplinary Research Centre for Membranes and Water Security King Fahd University of Petroleum and MineralsDhahran 31261Saudi Arabia

The goals of this study are to assess the viability of waste tire-derived char(WTDC)as a sustainable,low-cost fine aggregate surrogate material for asphalt mixtures and to develop the statistically coupled neural network(SCNN)model for predicting volumetric and Marshall properties of asphalt mixtures modified with *** study is based on experimental data acquired from laboratory volumetric and Marshall properties testing on WTDCmodified asphalt mixtures(WTDC-MAM).The input variables comprised waste tire char content and asphalt binder *** output variables comprised mixture unit weight,total voids,voids filled with asphalt,Marshall stability,and *** coupled neural networks were utilized to predict the volumetric and Marshall properties of asphalt *** predictive modeling,the SCNN model is employed,incorporating a three-layer neural network and preprocessing techniques to enhance accuracy and *** optimal network architecture,using the collected dataset,was a 2:6:5 structure,and the neural network was trained with 60%of the data,whereas the other 20%was used for cross-validation and testing *** network employed a hyperbolic tangent(tanh)activation function and a feed-forward *** to the results,the network model could accurately predict the volumetric and Marshall *** predicted accuracy of SCNN was found to be as high value>98%and low prediction errors for both volumetric and Marshall *** study demonstrates WTDC's potential as a low-cost,sustainable aggregate *** SCNN-based predictive model proves its efficiency and versatility and promotes sustainable practices.

关键词： Waste tire Neural network Sustainable practices Asphalt mixtures Predictive model

来源：

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

Automated Grading of Breast Cancer Histopathology Images Using Multilayered Autoencoder

引用

Computers, Materials & Continua 2022年第5期71卷 3407-3423页

作者： Shakra Mehak M.usman Ashraf Rabia Zafar Ahmed M.Alghamdi Ahmed S.Alfakeeh Fawaz Alassery habib Hamam Muhammad Shafiq Knowledge Unit of System and Technology University of Management&TechnologySialkot Campus51310Pakistan Department of Computer Science University of Management and TechnologySialkot Campus51310Pakistan Faculty of Computing and Technology University of Engineering&TechnologyNarowal51610Pakistan College of Computer Science and Engineering University of Jeddah21493Saudi Arabia Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaifSaudi Arabia Faculty of Engineering Moncton UniversityNBE1A3E9Canada Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

Breast cancer(BC)is the most widely recognized cancer in women *** 2018,627,000 women had died of breast cancer(World Health Organization Report 2018).To diagnose BC,the evaluation of tumours is achieved by analysis of histological *** present,the Nottingham Bloom Richardson framework is the least expensive approach used to grade BC *** contemplate three elements,*** count,*** formation,and *** atypia,which is a laborious process that witness’s variations in expert’s ***,some algorithms have been proposed for the detection of mitotic cells,but nuclear atypia in breast cancer histopathology has not received much *** atypia analysis is performed not only to grade BC but also to provide critical information in the discrimination of normal breast,non-invasive breast(usual ductal hyperplasia,atypical ductal hyperplasia)and pre-invasive breast(ductal carcinoma in situ)and invasive breast *** proposed a deep-stacked multi-layer autoencoder ensemble with a softmax layer for the feature extraction and classification *** classification results show the value of the multilayer autoencoder model in the evaluation of nuclear *** proposed method has indicated promising results,making them more fit in breast cancer grading.

关键词： Breast cancer nuclear atypia autoencoder

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Application and circular economy prospects of palm oil waste for eco-friendly asphalt pavement industry:A review

引用

Journal of Road Engineering 2022年第4期2卷 309-331页

作者： Nura Shehu Aliyu Yaro Muslich Hartadi Sutanto Noor Zainab habib Madzlan Napiah Aliyu usman Ahmad Hussaini Jagaba Abdulnaser M.Al-Sabaeei Department of Civil and Environmental Engineering Universiti Teknologi PETRONASBandar Seri Iskandar 32610Malaysia Department of Civil Engineering Ahmadu Bello UniversityZaria 810107Nigeria Institute of Self-Sustainable Building Universiti Teknologi PETRONASBandar Seri Iskandar 32610Malaysia School of Energy GeoscienceInfrastructureand SocietyHeriot-Watt University DubaiDubai 38103United Arab Emirates

During the production of palm oil,a significant amount of waste is ***,because of inefficient handling and utilization,these wastes are becoming a larger *** a result,one initiative is to use these wastes in the pavement industry as sustainable ***,there is still a lack of understanding about the wider incorporation of palm oil waste in asphalt pavement and its *** study examines existing literature on the use of various wastes in the pavement industry,including palm oil clinker(POC),palm oil fibre(POF),palm kernel shell(PKS),and palm oil fuel ash(POFA).As a result,this paper presents a systematic review and scientometric investigation of related study publications on many uses of palm oil waste in the asphalt pavement industry and its performance from 2009 to *** VOS viewer application was used to conduct the sciento-metric study *** relationship between interactions detected in co-authored country studies cited sources of co-citation,and the keyword of the co-occurrence and publication source enabled the identification of the research *** to the systematic literature review,40%–60% POC can be used to fine aggregate for optimal performance,while 0–100%PKS can be used to replace coarse *** addition,50%–80% POFA or POC fine(POCF)can be used as a filler replacement,5%–8% POCF or POFA as a bitumen modifier,and 0.3% POF as a stabilizing ***,the study demonstrates that the safety of utilizing wastes with more than 50% CO_(2) emissions can be curtailed with minimal heavy metal leaching and radioactivity *** scientometric analysis may encourage researchers to seek out gaps in the literature that will aid in the long-term,multifaceted use of palm oil wastes in the asphalt pavement ***,the study recommends employing and researching the enormous potential of using palm oil waste in the pavement sectors because they are more sustainable and have better perfor

关键词： Asphalt pavement Circular economy Eco-friendly Palm oil waste VOSviewer

来源：

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

Classification of Gastric Lesions Using Gabor Block Local Binary Patterns

引用

Computer Systems Science & Engineering 2023年第9期46卷 4007-4022页

作者： Muhammad Tahir Farhan Riaz Imran usman Mohamed Ibrahim habib College of Computing and Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia College of Electrical and Mechanical Engineering National University of Sciences and TechnologyIslamabadPakistan Department of Computer Science National University of Sciences and TechnologyBalochistan CampusQuettaPakistan

The identification of cancer tissues in Gastroenterology imaging poses novel challenges to the computer vision community in designing generic decision support *** generic nature demands the image descriptors to be invariant to illumination gradients,scaling,homogeneous illumination,and *** this article,we devise a novel feature extraction methodology,which explores the effectiveness of Gabor filters coupled with Block Local Binary Patterns in designing such *** effectively exploit the illumination invariance properties of Block Local Binary Patterns and the inherent capability of convolutional neural networks to construct novel rotation,scale and illumination invariant *** invariance characteristics of the proposed Gabor Block Local Binary Patterns(GBLBP)are demonstrated using a publicly available texture *** use the proposed feature extraction methodology to extract texture features from Chromoendoscopy(CH)images for the classification of cancer *** proposed feature set is later used in conjuncture with convolutional neural networks to classify the CH *** proposed convolutional neural network is a shallow network comprising of fewer parameters in contrast to other state-of-the-art networks exhibiting millions of parameters required for effective *** obtained results reveal that the proposed GBLBP performs favorably to several other state-of-the-art methods including both hand crafted and convolutional neural networks-based features.

关键词： Texture analysis Gabor filters gastroenterology imaging convolutional neural networks block local binary patterns

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：