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Feature Engineering Methods for Analyzing Blood Samples for Early Diagnosis of Hepatitis Using Machine Learning Approaches

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computer Modeling in Engineering & sciences 2025年第3期142卷 3229-3254页

作者： Mohamed A.G.Hazber Ebrahim Mohammed Senan Hezam Saud Alrashidi Department of Information and Computer Science College of Computer Science and EngineeringUniversity of Ha’ilHail81481Saudi Arabia Department of Computer Science College of Applied SciencesHajjah UniversityHajjah9677Yemen Department of Artificial Intelligence Faculty of Computer Science and Information TechnologyAl-Razi UniversitySana’a9671Yemen

Hepatitis is an infection that affects the liver through contaminated foods or blood transfusions,and it has many types,from normal to *** is diagnosed through many blood tests and factors;Artificial Intelligence(AI)techniques have played an important role in early diagnosis and help physicians make *** study evaluated the performance of Machine Learning(ML)algorithms on the hepatitis data *** dataset contains missing values that have been processed and outliers *** dataset was counterbalanced by the Synthetic Minority Over-sampling Technique(SMOTE).The features of the data set were processed in two ways:first,the application of the Recursive Feature Elimination(RFE)algorithm to arrange the percentage of contribution of each feature to the diagnosis of hepatitis,then selection of important features using the t-distributed Stochastic Neighbor Embedding(t-SNE)and Principal Component Analysis(PCA)***,the SelectKBest function was applied to give scores for each attribute,followed by the t-SNE and PCA ***,the classification algorithms K-Nearest Neighbors(KNN),Support Vector Machine(SVM),Artificial Neural Network(ANN),Decision Tree(DT),and Random Forest(RF)were fed by the dataset after processing the features in different methods are RFE with t-SNE and PCA and SelectKBest with t-SNE and PCA).All algorithms yielded promising results for diagnosing hepatitis data *** RF with RFE and PCA methods achieved accuracy,Precision,Recall,and AUC of 97.18%,96.72%,97.29%,and 94.2%,respectively,during the training *** the testing phase,it reached accuracy,Precision,Recall,and AUC by 96.31%,95.23%,97.11%,and 92.67%,respectively.

关键词： Hepatitis machine learning PCA RFE SelectKBest t-SNE

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Deploying Hybrid Ensemble Machine Learning Techniques for Effective Cross-Site Scripting(XSS)Attack Detection

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computers, Materials & Continua 2024年第10期81卷 707-748页

作者： Noor Ullah Bacha Songfeng Lu Attiq Ur Rehman Muhammad Idrees Yazeed Yasin Ghadi Tahani Jaser Alahmadi School of Cyber Science and Engineering Huazhong University of Science and TechnologyWuhan430073China Department of Computer Science and Engineering University of Engineering and TechnologyLahore54000Pakistan Department of Computer Science and Software Engineering Al Ain UniversityAl Ain12555Abu Dhabi Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia

Cross-Site Scripting(XSS)remains a significant threat to web application security,exploiting vulnerabilities to hijack user sessions and steal sensitive *** detection methods often fail to keep pace with the evolving sophistication of cyber *** paper introduces a novel hybrid ensemble learning framework that leverages a combination of advanced machine learning algorithms—Logistic Regression(LR),Support Vector Machines(SVM),eXtreme Gradient Boosting(XGBoost),Categorical Boosting(CatBoost),and Deep Neural Networks(DNN).Utilizing the XSS-Attacks-2021 dataset,which comprises 460 instances across various real-world trafficrelated scenarios,this framework significantly enhances XSS attack *** approach,which includes rigorous feature engineering and model tuning,not only optimizes accuracy but also effectively minimizes false positives(FP)(0.13%)and false negatives(FN)(0.19%).This comprehensive methodology has been rigorously validated,achieving an unprecedented accuracy of 99.87%.The proposed system is scalable and efficient,capable of adapting to the increasing number of web applications and user demands without a decline in *** demonstrates exceptional real-time capabilities,with the ability to detect XSS attacks dynamically,maintaining high accuracy and low latency even under significant ***,despite the computational complexity introduced by the hybrid ensemble approach,strategic use of parallel processing and algorithm tuning ensures that the system remains scalable and performs robustly in real-time *** for easy integration with existing web security systems,our framework supports adaptable Application Programming Interfaces(APIs)and a modular design,facilitating seamless augmentation of current *** innovation represents a significant advancement in cybersecurity,offering a scalable and effective solution for securing modern web applications against evolving threats.

关键词： Cross-site scripting machine learning XSS detection stacking ensemble learning hybrid learning

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Prediction of Myocardial Ischaemia Based on Spectral Analysis of ECG 4

Prediction of Myocardial Ischaemia Based on Spectral Analysi...

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4th IEEE International Conference on Information technology, Big Data and Artificial Intelligence, ICIBA 2024

作者： Zhao, Wenbing Wu, Chengyan Beijing University of Technology College of Computer Science and Technology Beijing China

ISBN: (纸本)9798350363586

Disease and death due to myocardial ischemia affect human health and longevity. The electrocardiogram is the cheapest and most readily available diagnostic method for myocardial ischemia. Intelligent diagnosis based on ECG is interesting to study. In this paper, spectral analysis of ECG is performed, from which spectral features related to myocardial ischemia are extracted and a decision tree classifier is constructed to identify the risk of myocardial ischemia. The performance of the model is evaluated based on the predictions on the test set with an accuracy of 94.2%, positive predictive value of 92.7%, sensitivity of 97.9% and specificity of 88.7%. © 2024 IEEE.

关键词： Decision trees

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Overcoming Spatial Constraints in VR:A Survey of Redirected Walking Techniques

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Journal of computer science & technology 2024年第4期39卷 841-870页

作者： Jia-Hong Liu Yang-Fu Ren Qi Wen Gan Kui Huang Fiona Xiao Yu Chen Er-Xia Luo Khang Yeu Tang Yue-Yao Fu Cheng-Wei Fan Sen-Zhe Xu Song-Hai Zhang Academy of Arts and Design Tsinghua UniversityBeijing 100084China Department of Computer Science and Technology Tsinghua UniversityBeijing 100084China College of Computer Technology and Application Qinghai UniversityXining 810016China Zhili College Tsinghua UniversityBeijing 100084China School of Computer Beijing Information Science and Technology UniversityBeijing 100192China Department of Physics Tsinghua UniversityBeijing 100084China School of Computer and Communication Engineering University of Science and Technology BeijingBeijing 100083China

As the virtual reality(VR)technology strives to provide immersive and natural user experiences,the challenge of aligning vast virtual environments with limited physical spaces remains *** survey comprehensively explores the advancements in redirected walking(RDW)techniques aimed at overcoming spatial constraints in *** addresses this by subtly manipulating users’physical movements to allow for seamless navigation within constrained *** survey delves into gain perception mechanisms,detailing how slight discrepancies between virtual and real-world movements can be utilized without user awareness,thus extending the effective navigable *** RDW control algorithms for gain-based RDW are analyzed,highlighting their implementation and effectiveness in maintaining immersion and minimizing perceptual ***,novel methods extending beyond traditional gain-based techniques are discussed,showcasing innovative approaches that further refine VR *** practical implications of RDW in enhancing safety and reducing physical collisions in VR environments are underscored,alongside its potential to improve user experience by aligning virtual exploration more closely with natural human behavior *** a thorough review of existing literature and recent advancements,this survey provides a systematic understanding for researchers,developers,and industry *** underscores the importance of RDW in the future of VR,emphasizing RDW's role in making VR more accessible and practical across various applications,from education and training to therapy and *** paper concludes with a forward-looking perspective on the continued evolution and potential of RDW in revolutionizing virtual reality experiences.

关键词： virtual reality(VR) redirected walking(RDW) redirection gain perception

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Adaptive dynamic surface control for quadrotor-slung load transportation system with uncertainties

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science China(Technological sciences) 2023年第10期66卷 2917-2929页

作者： DING Feng HUANG Jian SUN Chong AI Yong XU WenXia YANG ChenGuang School of Computer Science South-Central Minzu UniversityWuhan 430074China Key Laboratory of Ministryof EducationforImage Processing and Intelligent ControlHubei Key Laboratoryof Brain-inspired Intelligent Systems School of Artificial Intelligence and Automation Huazhong University of Science and TechnologyWuhan 430074China School of Computer Science and Engineering Wuhan Institute of TechnologyWuhan 430205China Key Laboratory of Ministry of Education for Autonomous Systems and Networked Control Guangdong Engineering Technology Research Center of Control of Intelligent SystemsCollege of Automation Science and EngineeringSouth China University of TechnologyGuangzhou 510640China

Quadrotors play a significant role in our lives and are transforming our *** cable-suspended loads is an unavoidable quadrotor application trend and a hot research topic in the control ***,the load swing and unpredictability pose significant challenges to the quadrotor's *** this paper,an anti-swing controller with an inner-outer control strategy for the quadrotor-slung load transportation system is *** facilitate the controller design,the outer position dynamics are restructured in the form of ***,a virtual controller is created to force the underactuated states to the dynamic surface to ensure the position subsystem's *** improve robustness,an adaptive law is used to eliminate the effects of uncertain cable ***,a dynamic surface controller for the inner attitude subsystem is presented to drive the actual force to the virtual *** is demonstrated that the control strategy can stabilize the quadrotor despite mass and cable length *** results are provided to demonstrate the efficacy and durability of the proposed method.

关键词： quadrotor-slung load transportation system dynamic surface control adaptive law cascade system model uncertainties

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Motifs-Based Multi-Scale Graph Convolution Learning Framework for Attention Deficit/Hyperactivity Disorder Classification 10

Motifs-Based Multi-Scale Graph Convolution Learning Framewor...

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10th IEEE Smart World Congress, SWC 2024

作者： Wu, Xubin Taiyuan University of Technology College of Computer Science and Technology Taiyuan China

ISBN: (纸本)9798331520861

Attention Deficit/Hyperactivity Disorder (ADHD) is a highly prevalent neurodevelopmental disorder. Recent studies suggest functional brain networks could provide crucial insights for diagnosing ADHD. However, most of these studies primarily focus on functional connections, often overlooking complex higher-order spatial topological relationships among brain regions. To address this limitation, a Motifs-based Multi-scale Graph Convolution (MMGC) model is proposed to enhance feature representations by aggregating spatial features from neighboring nodes across various higher-order relationships. Our experiments indicate the effectiveness of the proposed network, achieving an average accuracy of 7 2. 0 4 %, thereby outperforming traditional brain network classification methods. © 2024 IEEE.

关键词： Magnetic resonance imaging

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Human Abnormal Behavior Detection Based on Multimodal Data Fusion 2

Human Abnormal Behavior Detection Based on Multimodal Data F...

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2nd IEEE International Conference on Data science and Network Security, ICDSNS 2024

作者： She, Xiangyang Xu, Zhiqi College of Computer Science and Technology Xi'an University of Science and Technology Shaanxi Xi'an China

ISBN: (纸本)9798350373110

When the number of people increases or occlusion occurs, the human abnormal behavior detection method based on multimodal data fusion has low reliability of human behavior data information, low detection accuracy, and poor adaptability. This article used a multimodal data fusion model to solve the above problems. Mature human pose recognition technology can be used to extract human joint point data from videos. Joint coordinates can be transformed into angle and distance features of human behavior to express human posture. Machine learning methods can be applied to analyze and process joint features, obtaining data distribution features that are conducive to identifying abnormal movements. By comparing the multimodal data fusion model with other mature algorithm models, the study found that under the two evaluation methods of X-sub and X-view, the recognition accuracy of the multimodal data fusion model was 88.7% and 97.8%, respectively, which was 10.1% and 42.8% higher than the baseline method. This article identified 8 types of behaviors, among which 5 types of behaviors had an accuracy rate of over 80%, and the accuracy rate of behavior detection had all reached over 65%. Compared to other model methods, it has better practicality. © 2024 IEEE.

关键词： abnormal behavior monitoring action recognition human behavior detection multimodal data

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Full Field Digital Mammography Authentication Method Based on Autoencoder and Principal Component Extraction 9

Full Field Digital Mammography Authentication Method Based o...

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9th International Symposium on computer and Information Processing technology, ISCIPT 2024

作者： Zhou, Binjia Wang, Qirui Zhou, Qianwei Zhejiang University of Technology College of Computer Science and Technology Hangzhou China

ISBN: (纸本)9798350388404

Electronic Health Record (EHR) systems have replaced paper-based systems in healthcare organizations. There are now many measures in the medical field to protect sensitive big data. However, the healthcare industry is still the most affected by privacy breaches, and manipulations of fake data are endless. Content-Based Image Retrieval (CBIR) enables the retrieval of images similar to the query image and facilitates the comparison of current cases with historical cases stored in the database. This technique can find valuable applications in medical image verification, particularly in tackling the issue of counterfeit images. For image validation, we apply autoencoder to extract features, principal component analysis and genetic algorithm to optimize the extracted features, and then hand the features to vision transformer to make decisions. As a result, in comparative experiments, it is proved that our method conforms to the standard and has good performance. © 2024 IEEE.

关键词： Electronic health record

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Blockchain Enabled Metaheuristic Cluster Based Routing Model for Wireless Networks

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computer systems science & Engineering 2023年第2期44卷 1233-1250页

作者： R.M.Bhavadharini S.Karthik Department of Computer Science and Engineering Easwari Engineering CollegeChennai600089India Department of Computer Science and Engineering SNS College of TechnologyCoimbatore641035India

With recent advancements made in wireless communication techniques,wireless sensors have become an essential component in both data collection as well as tracking *** Sensor Network(WSN)is an integral part of Internet of Things(IoT)and it encounters different kinds of security *** is designed as a game changer for highly secure and effective digital ***,the current research paper focuses on the design of Metaheuristic-based Clustering with Routing Protocol for Blockchain-enabled WSN abbreviated as *** proposed MCRP-BWSN technique aims at deriving a shared memory scheme using blockchain technology and determine the optimal paths to reach the destination in clustered *** MCRP-BWSN technique,Chimp Optimization Algorithm(COA)-based clustering technique is designed to elect a proper set of Cluster Heads(CHs)and organize the selected *** addition,Horse Optimization Algorithm(HOA)-based routing technique is also presented to optimally select the routes based onﬁtness ***,HOA-based routing technique utilizes blockchain technology to avail the shared mem-ory among nodes in the *** nodes are treated as coins whereas the ownership handles the sensor nodes and Base Station(BS).In order to validate the enhanced performance of the proposed MCRP-BWSN technique,a wide range of simulations was conducted and the results were examined under different *** on the performance exhibited in simulation outcomes,the pro-posed MCRP-BWSN technique has been established as a promising candidate over other existing techniques.

关键词： Wireless networks blockchain routing protocol clustering security metaheuristics

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Magnetohydrodynamics hemodynamics hybrid nanofluid flow through inclined stenotic artery

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Applied Mathematics and Mechanics(English Edition) 2023年第3期44卷 459-476页

作者： B.K.SHARMA R.GANDHI T.ABBAS M.M.BHATTI Department of Mathematics Birla Institute of Technology and SciencePilani 333031India Department of Mathematics Division of Science and TechnologyUniversity of EducationLahore 54770Pakistan College of Mathematics and Systems Science Shandong University of Science and TechnologyQingdao 266590Shandong ProvinceChina

The present study aims to perform computational simulations of twodimensional(2D)hemodynamics of unsteady blood flow via an inclined overlapping stenosed artery employing the Casson fluid model to discuss the hemorheological properties in the arterial region.A uniform magnetic field is applied to the blood flow in the radial direction as the magneto-hemodynamics effect is *** entropy generation is discussed using the second law of *** influence of different shape parameters is explored,which are assumed to have varied shapes(spherical,brick,cylindrical,platelet,and blade).The Crank-Nicolson scheme solves the equations and boundary conditions governing the *** a given critical height of the stenosis,the key hemodynamic variables such as velocity,wall shear stress(WSS),temperature,flow rate,and heat transfer coefficient are computed.

关键词： overlapping stenosis hematocrit-dependent viscosity Au-Cu/blood hybrid nanofluid entropy generation shape effect

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