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Heart Disease Diagnosis Using the Brute Force Algorithm and Machine Learning Techniques

Computers, Materials & Continua 2022年第8期72卷 3195-3211页

作者： Junaid Rashid Samina Kanwal Jungeun Kim Muhammad Wasif Nisar usman naseem Amir Hussain Department of Computer Science and Engineering Kongju National UniversityCheonan31080Korea Department of Computer Science COMSATS University IslamabadWah Campus47040Pakistan School of Computer Science University of SydneySydneyNSW 2006Australia Centre of AI and Data Science Edinburgh Napier UniversityEdinburghEH114DYUK

Heart disease is one of the leading causes of death in the world *** of heart disease is a prominent topic in the clinical data *** increase patient survival rates,early diagnosis of heart disease is an important field of research in the medical *** are many studies on the prediction of heart disease,but limited work is done on the selection of *** selection of features is one of the best techniques for the diagnosis of heart *** this research paper,we find optimal features using the brute-force algorithm,and machine learning techniques are used to improve the accuracy of heart disease *** performance evaluation,accuracy,sensitivity,and specificity are used with split and cross-validation *** results of the proposed technique are evaluated in three different heart disease datasets with a different number of records,and the proposed technique is found to have superior *** selection of optimized features generated by the brute force algorithm is used as input to machine learning algorithms such as Support Vector Machine(SVM),Random Forest(RF),K Nearest Neighbor(KNN),and Naive Bayes(NB).The proposed technique achieved 97%accuracy with Naive Bayes through split validation and 95%accuracy with Random Forest through *** Bayes and Random Forest are found to outperform other classification approaches when accurately *** results of the proposed technique are compared with the results of the existing study,and the results of the proposed technique are found to be better than other ***,our proposed approach plays an important role in the selection of important features and the automatic detection of heart disease.

关键词： Heart disease brute force machine learning feature selection

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Effective Classification of Synovial Sarcoma Cancer Using Structure Features and Support Vectors

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Computers, Materials & Continua 2022年第8期72卷 2521-2543页

作者： P.Arunachalam N.Janakiraman Junaid Rashid Jungeun Kim Sovan Samanta usman naseem Arun Kumar Sivaraman A.Balasundaram Department of Electronics and Communication Engineering K.L.N.College of EngineeringPottapalayam630612Tamil NaduIndia Department of Computer Science and Engineering Kongju National UniversityCheonan 31080Korea Department of Mathematics Tamralipta MahavidyalayaTamluk721636West Bengal School of Computer Science University of SydneyNSW 2006Australia School of Computer Science and Engineering Vellore Institute of TechnologyChennai600127India School of Computer Science and Engineering Centre for Cyber Physical SystemsVellore Institute of TechnologyChennai600127India

In this research work,we proposed a medical image analysis framework with two separate releases whether or not Synovial Sarcoma(SS)is the cell structure for *** this framework the histopathology images are decomposed into a third-level sub-band using a two-dimensional Discrete Wavelet ***,the structure features(SFs)such as PrincipalComponentsAnalysis(PCA),Independent ComponentsAnalysis(ICA)and Linear Discriminant Analysis(LDA)were extracted from this subband image representation with the distribution of wavelet *** SFs are used as inputs of the Support Vector Machine(SVM)***,classification of PCA+SVM,ICA+SVM,and LDA+SVM with Radial Basis Function(RBF)kernel the efficiency of the process is differentiated and compared with the best classification ***,data collected on the internet from various histopathological centres via the Internet of Things(IoT)are stored and shared on blockchain technology across a wide range of image distribution across secure data IoT *** to this,the minimum and maximum values of the kernel parameter are adjusted and updated periodically for the purpose of industrial application in device ***,these resolutions are presented with an excellent example of a technique for training and testing the cancer cell structure prognosis methods in spindle shaped cell(SSC)histopathological imaging *** performance characteristics of cross-validation are evaluated with the help of the receiver operating characteristics(ROC)curve,and significant differences in classification performance between the techniques are *** combination of LDA+SVM technique has been proven to be essential for intelligent SS cancer detection in the future,and it offers excellent classification accuracy,sensitivity,specificity.

关键词： Principal components analysis independent components analysis linear discriminant analysis support vector machine blockchain technology IoT application industry application

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Artificial Intelligence Based Sentence Level Sentiment Analysis of COVID-19

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Computer Systems Science & Engineering 2023年第10期47卷 791-807页

作者： Sundas Rukhsar Mazhar Javed Awan usman naseem Dilovan Asaad Zebari Mazin Abed Mohammed Marwan Ali Albahar Mohammed Thanoon Amena Mahmoud Department of Software Engineering University of Management and TechnologyLahore54770Pakistan School of Computer Science The University of SydneySydneyAustralia Department of Computer Science College of ScienceNawroz UniversityDuhok42001Kurdistan RegionIraq College of Computer Science and Information Technology University of AnbarAnbar31001Iraq Department of Computer Science Umm Al Qura UniversityMecca24211Saudi Arabia Computer Science Department Faculty of Computers and InformationKafrelsheikh UniversityKafrelsheikhEgypt

Web-blogging sites such as Twitter and Facebook are heavily influenced by emotions,sentiments,and data in the modern ***,a widely used microblogging site where individuals share their thoughts in the form of tweets,has become a major source for sentiment *** recent years,there has been a significant increase in demand for sentiment analysis to identify and classify opinions or expressions in text or *** or expressions of people about a particular topic,situation,person,or product can be identified from sentences and divided into three categories:positive for good,negative for bad,and neutral for mixed or confusing *** process of analyzing changes in sentiment and the combination of these categories is known as“sentiment analysis.”In this study,sentiment analysis was performed on a dataset of 90,000 tweets using both deep learning and machine learning *** deep learning-based model long-short-term memory(LSTM)performed better than machine learning *** short-term memory achieved 87%accuracy,and the support vector machine(SVM)classifier achieved slightly worse results than LSTM at 86%.The study also tested binary classes of positive and negative,where LSTM and SVM both achieved 90%accuracy.

关键词： COVID-19 artificial intelligence machine learning deep learning sentimental analysis support vector classifier

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Colouring of COVID-19 Affected Region Based on Fuzzy Directed Graphs

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Computers, Materials & Continua 2021年第7期68卷 1219-1233页

作者： Rupkumar Mahapatra Sovan Samanta Madhumangal Pal Jeong-Gon Lee Shah Khalid Khan usman naseem Robin Singh Bhadoria Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar UniversityMidnapore721102India Department of Mathematics Tamralipta MahavidyalayaTamluk721636India Division of Applied Mathematics Wonkwang UniversityIksan-SiJeonbuk54538Korea School of Engineering RMIT UniversityMelbourne3001Australia School of Computer Science University of Sydney Sydney2006Australia Department of Computer Science&Engineering Birla Institute of Applied Sciences(BIAS)BhimtalUttarakhand263136India

Graph colouring is the system of assigning a colour to each vertex of a *** is done in such a way that adjacent vertices do not have equal *** is fundamental in graph *** is often used to solve real-world problems like traffic light signalling,map colouring,scheduling,***,social networks are prevalent systems in our ***,the users are considered as vertices,and their connections/interactions are taken as *** users follow other popular users’profiles in these networks,and some don’t,but those non-followers are connected directly to the popular *** means,along with traditional relationship(information flowing),there is another relation among *** depends on the domination of the relationship between the *** type of situation can be modelled as a directed fuzzy *** the colouring of fuzzy graph theory,edge membership plays a vital *** membership is a representation of flowing information between end nodes of the *** from the communication relationship,there may be some other factors like domination in *** influence of power is captured *** this article,the colouring of directed fuzzy graphs is defined based on the influence of *** with this,the chromatic number and strong chromatic number are provided,and related properties are *** application regarding COVID-19 infection is presented using the colouring of directed fuzzy graphs.

关键词： Graph colouring chromatic index directed fuzzy graphs

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A Secure Method for Data Storage and Transmission in Sustainable Cloud Computing

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Computers, Materials & Continua 2023年第5期75卷 2741-2757页

作者： Muhammad usman Sana Zhanli Li Tayybah Kiren Hannan Bin Liaqat Shahid naseem Atif Saeed College of Computer Science and Technology Xi’an University of Science and TechnologyXi’anShaanxi710054China Department of Computer Science(RCET Campus) University of Engineering and TechnologyLahore39161Pakistan Department of Information Sciences Division of Science&TechnologyUniversity of EducationLahore54700Pakistan Department of Computer Science COMSATS UniversityIslamabadLahore54700Pakistan

Cloud computing is a technology that provides secure storage space for the customer’s massive data and gives them the facility to retrieve and transmit their data efficiently through a secure network in which encryption and decryption algorithms are being *** cloud computation,data processing,storage,and transmission can be done through laptops andmobile *** Storing in cloud facilities is expanding each day and data is the most significant asset of *** important concern with the transmission of information to the cloud is security because there is no perceivability of the client’s *** have to be dependent on cloud service providers for assurance of the platform’s *** security and privacy issues reduce the progression of cloud computing and add ***;most of the data that is stored on cloud servers is in the form of images and photographs,which is a very confidential form of data that requires secured *** this research work,a public key cryptosystem is being implemented to store,retrieve and transmit information in cloud computation through a modified Rivest-Shamir-Adleman(RSA)algorithm for the encryption and decryption of *** implementation of a modified RSA algorithm results guaranteed the security of data in the cloud *** enhance the user data security level,a neural network is used for user authentication and ***;the proposed technique develops the performance of detection as a loss function of the bounding *** Faster Region-Based Convolutional Neural Network(Faster R-CNN)gets trained on images to identify authorized users with an accuracy of 99.9%on training.

关键词： Cloud computing data security RSA algorithm Faster R-CNN

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Thoracic impalement injury: A survivor with large metallic object in-situ

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Chinese Journal of Traumatology 2018年第6期21卷 369-372页

作者： Randhawa Muhammad Afzal Muhammad Armughan Muhammad Waqas Javed usman Ali Rizvi Sajida naseem Department of Surgery. Bahawal Victoria Hospital Q_uaid-E-Azam Medical College Bahawalpur Pakistan

Impalement injuries, is a severe form of trauma, which are not common in civilian life. These injuries rarely occurs in major accidents. Abdomen, chest, limbs and perineum are often involved due to their large surface area. Thoracic impalement injury is usually a fatal injury, due to location of major vessels and heart in the thoracic cavity. These injuries are horrifying to site, but the patients who are lucky enough to make it to hospital, usually survive. Chances of survival are larger in right sided impalement injuries while central injuries are always died at the *** patient, 25 years old male, was brought to the emergency room (ER) with large impaled metallic bar (about 2.5 feet long) in situ, in right sided chest. The patient was immediately shifted to operation room (OR) and was operated, his recovery was uneventful without any *** patients should be treated and resuscitated according to advanced trauma life support (ATLS) protocols and operated without any delay for further investigations. Such operations are carried out by the most experienced surgeon team available. The impaled objects should not be processed if not necessary to avoid major hemorrhage and damage to vital structures, until the patient is in operation room. Large size and unusual position of impaled objects, makes the job difficult for surgeons/*** horrifying at scene, patients with thoracic impalement injuries are mostly young and healthy, and those who survive the pre-hospital phase are potentially manageable with proper resuscitation. Usually these patients make recovery without any further complications.

关键词： Impalement Injury Thoracic Metallic object Traffic accident Sequela

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Numerical Treatment for Stochastic Computer Virus Model

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Computer Modeling in Engineering & Sciences 2019年第8期120卷 445-465页

作者： Ali Raza Muhammad Shoaib Arif Muhammad Rafiq Mairaj Bibi Muhammad Naveed Muhammad usman Iqbal Zubair Butt Hafiza Anum naseem Javeria Nawaz Abbasi Department of Mathematics Stochastic Analysis&Optimization Research GroupAir UniversityPAF Complex E-9IslamabadPakistan Faculty of Engineering University of Central Punjab LahorePakistan Department of Mathematics Comsats UniversityPark Road Chak Shahzad CampusIslamabadPakistan Faculty of Computing National College of Business Administration and Economics LahorePakistan

This writing is an attempt to explain a reliable numerical treatment for stochastic computer virus *** are comparing the solutions of stochastic and deterministic computer virus *** paper reveals that a stochastic computer virus paradigm is pragmatic in contrast to the deterministic computer virus *** of threshold number C^?hold in stochastic computer virus *** C^?1 shows virus persists in the computer ***,stochastic numerical methods fail to cope with large step sizes of *** suggested structure of the stochastic non-standard finite difference scheme(SNSFD)maintains all diverse characteristics such as dynamical consistency,boundedness and positivity as defined by *** numerical treatment for the stochastic computer virus model manifested that increasing the antivirus ability ultimates small virus dominance in a computer community.

关键词： Computer virus,euler maruyama scheme stochastic differential equations stochastic euler scheme stochastic runge-kutta scheme stochastic NSFD scheme stability

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Scope for Prevention and Treatment of Hepatitis B with Herbal Medicine:A Systematic Review of Case Studies in Unani Medicine

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Food Therapy and Health Care 2021年第3期3卷 76-80页

作者： Mohd usman Rubi Anjum Syeda Ayeman Mazhar Nazmeen Reader Department of Tahaffuzi wa Samaji Tib S.U.M.C Paryagraj India Department of Tahaffuzi Wa Samaji Tib Ajmal Khan Tibbiya CollegeFaculty of Unani MedicineAligarh Muslim UniversityAligarhUttar PradeshIndia Regional Research Institute of Unani Medicine Naseem BaghKashmir UniversitySrinagar.India

Hepatitis is an inflammation of the liver caused by viral *** B(Serum Hepatitis)is an acute systemic *** is transmitted by parenteral route having a long incubation period six weak to six *** B virus can form a dangerous alliance with Delta *** B virus was discovered by *** is a complex,42 nm,double stranded DNA virus,originally known as *** B is a blood borne *** is transmitted by infected blood *** in this paper an attempt is made to review the Unani concept,causes,sign and symptoms,management and treatment of hepatitis B *** successful case studies of the hepatitis B management through unani formulations and particular regimen have been incorporated to showcase the efficacy of the unani system of medicine in this chronic disease.

关键词： vaccination kabid liver Unani Dane particle hepatitis B

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