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Fine-Tuning Cyber Security Defenses: Evaluating Supervised Machine Learning Classifiers for Windows Malware Detection: 《Computers, Materials & Continua》2024年第8期2917-2939,共23页Islam Zada Mohammed Naif Alatawi Syed Muhammad Saqlain Abdullah Alshahrani Adel Alshamran Kanwal Imran Hessa Alfraihi; This researchwork is supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project Number(PNURSP2024R411),Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.; Malware attacks on Windows machines pose significant cybersecurity threats,necessitating effective detection and prevention mechanisms.Supervised machine learning classifiers have emerged as promising tools for malwar...; 关键词：Security and privacy challenges in the context of requirements engineering supervisedmachine learning malware detection windows systems comparative analysis Gaussian Naive Bayes K Nearest Neighbors Stochastic Gradient Descent Classifier Decision Tree

基于人工智能的小麦高效育种信息交互系统构建被引量：1: 《农业工程学报》2024年第13期117-123,共7页杨民安孙雨王凤超杨晶陈进; 上海市青年科技英才扬帆计划项目(20YF1447600);上海应用技术大学引进人才基金项目(YJ2021-60);上海应用技术大学协同创新基金项目(XTCX2023-22);上海应用技术大学中青年科技人才发展基金项目(ZQ2022-6)。; 小麦是人类社会重要的粮食资源之一,因此基于人工智能技术构建高效育种信息交互平台对于高质高产的小麦种植具有重要的战略价值。高效育种信息交互平台的搭建关键在于核心数据的准确识别与分类,基于此该研究提出了一种Naive Bayes(朴素...; 关键词：小麦交互平台 Naive Bayes ADABOOST 育种交互核心词汇

A hybrid system to predict brain stroke using a combined feature selection and classifier: 《Intelligent Medicine》2024年第2期75-82,共8页Priyanka Bathla Rajneesh Kumar; Background Brain stroke is a serious health issue that requires timely and accurate prediction for effective treatment and prevention.This study described a hybrid system that used the best feature selection method an...; 关键词：Machine learning Naive Bayes Extreme gradient boosting Support vector machine Adaptive boosting Random forest

DeBERTa-GRU: Sentiment Analysis for Large Language Model: 《Computers, Materials & Continua》2024年第6期4219-4236,共18页Adel Assiri Abdu Gumaei Faisal Mehmood Touqeer Abbas Sami Ullah; Modern technological advancements have made social media an essential component of daily life.Social media allow individuals to share thoughts,emotions,and ideas.Sentiment analysis plays the function of evaluating whe...; 关键词：DeBERTa GRU Naive Bayes LSTM sentiment analysis large language model

Machine Learning Models for Heterogenous Network Security Anomaly Detection: 《Journal of Computer and Communications》2024年第6期38-58,共21页Mercy Diligence Ogah Joe Essien Martin Ogharandukun Monday Abdullahi; The increasing amount and intricacy of network traffic in the modern digital era have worsened the difficulty of identifying abnormal behaviours that may indicate potential security breaches or operational interruptio...; 关键词：Cyber-Security Network Anomaly Detection Machine Learning Random Forest Decision Tree Gaussian Naive Bayes

Using machine learning to identify primary features in choosing electric vehicles based on income levels: 《Data Science and Management》2024年第1期1-6,共6页Mingjun Ma Eugene Pinsky; An electric vehicle is becoming one of the popular choices when choosing a vehicle.People are generally impressed with electric vehicles’zero-emission and smooth drives,while unstable battery duration keeps people aw...; 关键词：Unbabalced data Electric vehicle Machine learning Sampling with replacement Supervised learning Naive Bayes

Film and Television Website Scores Authenticity Verification Based on the Emotional Analysis: 《Journal of Computer and Communications》2024年第2期231-245,共15页Weiyu Tong; Sentiment analysis is a method to identify and understand the emotion in the text through NLP and text analysis. In the era of information technology, there is often a certain error between the comments on the movie w...; 关键词：Bi-LSTM Model Film Review Emotion Analysis Naive Bayes PYTHON Data Crawl

P&T-Inf: A Result Inference Method for Context-Sensitive Tasks in Crowdsourcing: 《Intelligent Automation & Soft Computing》2023年第7期599-618,共20页Zhifang Liao Hao Gu Shichao Zhang Ronghui Mo Yan Zhang; supported by the National Social Science Fund of China(Grant No.22BTQ033).; Context-Sensitive Task(CST)is a complex task type in crowdsourc-ing,such as handwriting recognition,route plan,and audio transcription.The current result inference algorithms can perform well in simple crowd-sourcing ...; 关键词：Crowdsourcing result inference tree augmented naive Bayes CONTEXT-SENSITIVE

Bug Prioritization Using Average One Dependence Estimator: 《Intelligent Automation & Soft Computing》2023年第6期3517-3533,共17页Kashif Saleem Rashid Naseem Khalil Khan Siraj Muhammad Ikram Syed Jaehyuk Choi; This work was supported in part by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(No.NRF-2020R1A2C1013308).; Automation software need to be continuously updated by addressing software bugs contained in their repositories.However,bugs have different levels of importance;hence,it is essential to prioritize bug reports based on...; 关键词：Bug report triaging PRIORITIZATION support vector machine Naive Bayes

Sentiment Analysis with Tweets Behaviour in Twitter Streaming API被引量：2: 《Computer Systems Science & Engineering》2023年第5期1113-1128,共16页Kuldeep Chouhan Mukesh Yadav Ranjeet Kumar Rout Kshira Sagar Sahoo NZ Jhanjhi Mehedi Masud Sultan Aljahdali; This work was supported by Taif University Researchers Supporting Project(TURSP)under number(TURSP-2020/73),Taif University,Taif,Saudi Arabia.; Twitter is a radiant platform with a quick and effective technique to analyze users’perceptions of activities on social media.Many researchers and industry experts show their attention to Twitter sentiment analysis t...; 关键词：Machine learning Naive Bayes natural language processing sentiment analysis social media analytics support vector machine Twitter application programming interface

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