检索结果-南通市图书馆

Pandemic Analysis and Prediction of COVID-19 Using Gaussian Doubling Times

Computers, Materials & Continua 2022年第7期72卷 833-849页

作者： Saleh Albahli farman hassan Ali Javed Aun Irtaza Department of Information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia Department of Computer Science University of Engineering and TechnologyTaxilaPakistan Department of Computer Science and Engineering Oakland UniversityMIUSA Department of Computer and Electrical Engineering University of MichiganDearbornUSA

COVID-19 has become a pandemic,with cases all over the world,with widespread disruption in some countries,such as Italy,US,India,South Korea,and *** and reliable detection of COVID-19 is mandatory to control the spread of ***,prediction of COVID-19 spread in near future is also crucial to better plan for the disease *** this purpose,we proposed a robust framework for the analysis,prediction,and detection of *** make reliable estimates on key pandemic parameters and make predictions on the point of inflection and possible washout time for various countries around the *** estimates,analysis and predictions are based on the data gathered fromJohns Hopkins Center during the time span of April 21 to June 27,*** use the normal distribution for simple and quick predictions of the coronavirus pandemic model and estimate the parameters of Gaussian curves using the least square parameter curve fitting for several countries in different *** predictions rely on the possible outcomes of Gaussian time evolution with the central limit theorem of statistics the predictions to be well *** parameters of Gaussian distribution,i.e.,maximumtime and width,are determined through a statisticalχ^(2)-fit for the purpose of doubling times after April 21,*** COVID-19 detection,we proposed a novel method based on the Histogram of Oriented Gradients(HOG)and CNN in multi-class classification scenario i.e.,Normal,COVID-19,viral pneumonia *** results show the effectiveness of our framework for reliable prediction and detection of COVID-19.

关键词： Prediction coronavirus time-series prediction gaussian mathematical model pandemic spreading

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

Syntheses,Spectral Studies and Bioanalyses of Some Triorganotin(IV) Complexes of Cephlaxine

引用

Chinese Journal of Structural Chemistry 2008年第7期27卷 846-852页

作者： Wajid Rehman Bakhtiar Muhammad farman Ali Sardar Atif Department of Chemistry Hazara University MansehraPakistan

Five novel triorganotin（IV） complexes have been synthesized by refluxing trimethyl, triethyl, tributyl, triphenyl and tribenzyltin chloride with Cephlaxine. These compounds were characterized by spectroscopic （IR, IH, 13C, 119Sn NMR） techniques and elemental analysis. The results obtained through these techniques are in full agreement with the proposed 1：1 stoichiometry. The synthesized compounds were than tested against various microorganisms and fungi. The results of new products obtained showed that the triphenyltin（IV） complex displayed promising activity against all types of bacteria and fungi used while all other compounds showed significant antibacterial and antifungal activity.

关键词： cephlaxine spectra triorganotin activity bacteria

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

A Traffic-Aware and Cluster-Based Energy Efficient Routing Protocol for IoT-Assisted WSNs

引用

Computers, Materials & Continua 2024年第8期80卷 1831-1850页

作者： Hina Gul Sana Ullah Ki-Il Kim farman Ali Department of Computer and Software Technology University of SwatMingora19130Pakistan Department of Computer Science and Engineering Chungnam National UniversityDaejeon34134Republic of Korea Department of Applied AI Sungkyunkwan UniversitySeoul03063Republic of Korea

The seamless integration of intelligent Internet of Things devices with conventional wireless sensor networks has revolutionized data communication for different applications,such as remote health monitoring,industrial monitoring,transportation,and smart *** and reliable data routing is one of the major challenges in the Internet of Things network due to the heterogeneity of *** paper presents a traffic-aware,cluster-based,and energy-efficient routing protocol that employs traffic-aware and cluster-based techniques to improve the data delivery in such *** proposed protocol divides the network into clusters where optimal cluster heads are selected among super and normal nodes based on their residual *** protocol considers multi-criteria attributes,i.e.,energy,traffic load,and distance parameters to select the next hop for data delivery towards the base *** performance of the proposed protocol is evaluated through the network simulator *** different traffic rates,number of nodes,and different packet sizes,the proposed protocol outperformed LoRaWAN in terms of end-to-end packet delivery ratio,energy consumption,end-to-end delay,and network *** 100 nodes,the proposed protocol achieved a 13%improvement in packet delivery ratio,10 ms improvement in delay,and 10 mJ improvement in average energy consumption over LoRaWAN.

关键词： Internet of Things wireless sensor networks traffic load clustering routing energy efficiency

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

Computational Fluid Dynamics Approach for Predicting Pipeline Response to Various Blast Scenarios: A Numerical Modeling Study

引用

Computer Modeling in Engineering & Sciences 2024年第9期140卷 2747-2777页

作者： farman Saifi Mohd Javaid Abid Haleem S.M.Anas Department of Mechanical Engineering Jamia Millia Islamia(A Central University)New Delhi110025India Department of Civil Engineering Jamia Millia Islamia(A Central University)New Delhi110025India

Recent industrial explosions globally have intensified the focus in mechanical engineering on designing infras-tructure systems and networks capable of withstanding blast *** centered on high-profile facilities such as embassies and petrochemical plants,this concern now extends to a wider array of infrastructures and *** and scholars increasingly prioritize structural safety against explosions,particularly to prevent disproportionate collapse and damage to nearby *** has further amplified the reliance on oil and gas pipelines,making them vital for urban life and prime targets for terrorist ***,there is a growing imperative for computational engineering solutions to tackle blast loading on pipelines and mitigate associated risks to avert *** this study,an empty pipe model was successfully validated under contact blast conditions using Abaqus software,a powerful tool in mechanical engineering for simulating blast effects on buried *** a Eulerian-Lagrangian computational fluid dynamics approach,the investigation extended to above-surface and below-surface blasts at standoff distances of 25 and 50 *** descriptions in the numerical model relied on Abaqus’default mechanical *** analysis revealed varying pipe performance,with deformation decreasing as explosion-to-pipe distance *** explosion’s location relative to the pipe surface notably influenced deformation levels,a key finding highlighted in the ***,quantitative findings indicated varying ratios of plastic dissipation energy(PDE)for different blast scenarios compared to the contact blast(P0).Specifically,P1(25 mm subsurface blast)and P2(50 mm subsurface blast)showed approximately 24.07%and 14.77%of P0’s PDE,respectively,while P3(25 mm above-surface blast)and P4(50 mm above-surface blast)exhibited lower PDE values,accounting for about 18.08%and 9.67%of P0’s PDE,***

关键词： Blast loading computational fluid dynamics computer modeling pipe networks response prediction structural safety

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

Estimating Fuel-Efficient Air Plane Trajectories Using Machine Lear

引用

Computers, Materials & Continua 2022年第3期70卷 6189-6204页

作者： Jaiteg Singh Gaurav Goyal farman Ali Babar Shah Sangheon Pack Chitkara University Institute of Engineering&Technology Chitkara UniversityPunjab140401India Department of Software Sejong UniversitySeoul05006Korea College of Technological Innovation Zayed UniversityUAE School of Electrical Engineering Korea UniversitySeoulKorea

Airline industry has witnessed a tremendous growth in the recent *** of people choosing air travel as first choice to commute is continuously *** demanding and congested air routes are resulting in inadvertent delays,additional fuel consumption and high emission of greenhouse *** planning involves creation identification of cost-effective flight plans for optimal utilizationof fuel and *** situation warrants the need of an intelligent system for dynamic planning of optimized flight trajectories with least human intervention *** this paper,an algorithm for dynamic planning of optimized flight trajectories has been *** proposed algorithm divides the airspace into four dimensional cubes and calculate a dynamic score for each cube to cumulatively represent estimated weather,aerodynamic drag and air traffic within that virtual *** are several constraints like simultaneous flight separation rules,weather conditions like air temperature,pressure,humidity,wind speed and direction that pose a real challenge for calculating optimal flight *** validate the proposed methodology,a case analysis was undertaken within Indian *** flight routes were simulated for four different air routes within Indian *** experiment results observed a seven percent reduction in drag values on the predicted path,hence indicates reduction in carbon footprint and better fuel economy.

关键词： Airplane trajectory coefficient of drag four-dimensional trajectory prediction machine learning route planning stochastic processes

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

piEnPred:a bi-layered discriminative model for enhancers and their subtypes via novel cascade multi-level subset feature selection algorithm

引用

Frontiers of Computer Science 2021年第6期15卷 175-185页

作者： Zaheer Ullah KHAN Dechang PI Shuanglong YAO Asif NAWAZ farman ALI Shaukat ALI School of Computer Science and Technology Nanjing University of Aeronautics and AstronauticsNanjing 211106China School of Computer Science and Engineering Nanjing University of Science and TechnologyNanjing 210094China Department of Computer Science Islamia College University PeshawarPeshawar 25000Pakistan

Enhancers are short DNA cis-elements that can be bound by proteins(activators)to increase the possibility that transcription of a particular gene will *** Enhancers perform a significant role in the formation of proteins and regulating the gene transcription *** diseases such as cancer,inflammatory bowel disease,Parkinson’s,addiction,and schizophrenia are due to genetic variation in *** the current study,we havemade an effort by building,amore robust and novel computational a bi-layered *** representative feature vector was constructed over a linear combination of six *** optimum Hybrid feature vector was obtained via the Novel Cascade Multi-Level Subset Feature selection(CMSFS)*** first layer predicts the enhancer,and the secondary layer carries the prediction of their *** baseline model obtained 87.88%of accuracy,95.29%of sensitivity,80.47%of specificity,0.766 of MCC,and 0.9603 of a roc value on ***,the model obtained 68.24%,65.54%,70.95%,0.3654,and 0.7568 as an Accuracy,sensitivity,specificity,MCC,and ROC values on layer-2 *** an independent dataset on layer-1,the piEnPred secured 80.4%accuracy,82.5%of sensitivity,78.4%of specificity,and 0.6099 as MCC,***,the proposed predictor obtained 72.5%of accuracy,70.0%of sensitivity,75%of specificity,and 0.4506 of MCC on layer-2,*** proposed method remarkably performed in contrast to other state-of-the-art *** the convenience of most experimental scientists,a user-friendly and publicly freely accessible web server@/bienhancer dot pythonanywhere dot com has been developed.

关键词： enhancer enhancer types novel CM-SFS algorithm feature selection SVM

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

An updated review on pharmacological activities and phytochemical constituents of evening primrose(genus Oenothera)

引用

Asian Pacific Journal of Tropical Biomedicine 2017年第11期7卷 1046-1054页

作者： Rebecca Munir Nabil Semmar Muhammad farman Naseem Saud Ahmad Department of Pharmacology University of Health SciencesLahore Pakistan Laboratory of Bioinformatics Biomathematics and Biostatistics Pasteur Institute of Tunis University of Tunis El Manar

Genus Oenothera includes medicinal plants that are distributed throughout the world and are known since ancient times. Popular indications of different species of this genus include treatment of inflammations, diabetes, microbial infections, ulcers, tumors, kidney and liver problems. The plants of this genus are a botanical source for various pharmaceutically active components like sterols, alkaloids, phenolic acids, flavonoids, triterpenoids, saponins, biflavonols and tocopherols. This review article is a compilation of chemical composition and biological activities of the various species of the genus Oenothera.

关键词： Oenothera Medicinal plants Chemical composition Biological activities

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

EA-RDSP: Energy Aware Rapidly Deployable Wireless Ad hoc System for Post Disaster Management

引用

Computers, Materials & Continua 2021年第11期69卷 1725-1746页

作者： Ajmal Khan Mubashir Mukhtar farman Ullah Muhammad Bilal Kyung-Sup Kwak Department of Electrical and Computer Engineering COMSATS University IslamabadAttock43600Pakistan Division of Computer and Electronics Systems Engineering Hankuk University of Foreign StudiesYongin-si17035Korea Department of Information and Communication Engineering Inha UniversityIncheon22212Korea

In post disaster scenarios such as war zones floods and earthquakes,the cellular communication infrastructure can be lost or severely *** such emergency situations,remaining in contact with other rescue response teams in order to provide inputs for both headquarters and disaster survivors becomes very ***,in this research work,a design,implementation and evaluation of energy aware rapidly deployable system named EA-RDSP is *** proposed research work assists the early rescue workers and victims to transmit their location information towards the remotely located *** EA-RDSP,two algorithms are proposed i.e.,Hop count Assignment(HCA)algorithm and Maximum Neighbor Selection(MNS)*** EA-RDSP contains three types of nodes;the client node sends information about casualty in the disaster area to the server,the relay nodes transmit this information from client node to server nodes via multi-hop transmission,the server node receives messages sent by client node to alert rescue *** EAM-RDSP contains three types of nodes;the client node sends information about casualty in the disaster area to the server,the relay nodes transmit this information from client node to server nodes via multi-hop transmission,the server node receives messages sent by client node to alert rescue *** proposed EA-RDSP scheme is simulated using NS2 simulator and its performance is compared with existing scheme in terms of end-to-end delay,message delivery ratio,network overhead and energy consumption.

关键词： Disaster management neighbor selection device-to-device communication multi-hop relaying energy efficiency

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

Dynamical Transmission of Coronavirus Model with Analysis and Simulation

引用

Computer Modeling in Engineering & Sciences 2021年第5期127卷 753-769页

作者： Muhammad farman Ali Akgul Aqeel Ahmad Dumitru Baleanu Muhammad Umer Saleem Department of Mathematics and Statistics University of LahoreLahore54590Pakistan Faculty of Art and Science Department of MathematicsSiirt UniversitySiirt56100Turkey Department of Mathematics Cankaya UniversityAnkara06530Turkey Institute of Space Sciences MagureleR76900Romania Department of Medical Research China Medical UniversityTaichung40402Taiwan Department of Mathematics University of EducationLahore54770Pakistan

COVID-19 acts as a serious challenge to the whole *** data of COVID-19 is collected through media and web sources to analyze and investigate a system of nonlinear ordinary differential equation to understand the outbreaks of this epidemic *** analyze the diseases free and endemic equilibrium point including stability of the *** certain threshold value of the basic reproduction number R0 is found to observe whether population is in disease free state or endemic ***,the epidemic peak has been obtained and we expect a considerable number of ***,some numerical results are presented which show the effect of parameters estimation and different step size on our obtained solutions at the real data of some countries to check the actual behavior of the COVID-19 at different countries.

关键词： Epidemic model COVID-19 parameter estimation reproductive number stability analysis

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

Optimized Predictive Framework for Healthcare Through Deep Learning

引用

Computers, Materials & Continua 2021年第5期67卷 2463-2480页

作者： Yasir Shahzad Huma Javed Haleem farman Jamil Ahmad Bilal Jan Abdelmohsen A.Nassani Department of Computer Science University of PeshawarPeshawar25120Pakistan Department of Computer Science Islamia College PeshawarPeshawar25120Pakistan Department of Computer Science FATA UniversityKohat26100Pakistan Department of Management College of Business AdministrationKing Saud UniversityRiyadhSaudi Arabia

Smart healthcare integrates an advanced wave of information technology using smart devices to collect health-related medical science *** data usually exist in unstructured,noisy,incomplete,and heterogeneous *** these limitations remains an open challenge in deep learning to classify health *** this paper,a long short-term memory(LSTM)based health condition prediction framework is proposed to rectify imbalanced and noisy data and transform it into a useful form to predict accurate health *** imbalanced and scarce data is normalized through coding to gain consistency for accurate results using synthetic minority oversampling *** proposed model is optimized and ne-tuned in an end to end manner to select ideal parameters using tree parzen estimator to build a probabilistic *** patient’s medication is pigeonholed to plot the diabetic condition’s risk factor through an algorithm to classify blood glucose metrics using a modern surveillance error grid *** proposed model can efciently train,validate,and test noisy data by obtaining consistent results around 90%over the state of the art machine and deep learning techniques and overcoming the insufciency in training data through transfer *** overall results of the proposed model are further tested with secondary datasets to verify model sustainability.

关键词： Recurrent neural network long short-term memory deep learning Bayesian optimization surveillance error grid hyperparameter

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：