咨询与建议

限定检索结果

文献类型

  • 14 篇 期刊文献
  • 12 篇 会议

馆藏范围

  • 26 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 22 篇 工学
    • 13 篇 计算机科学与技术...
    • 8 篇 电气工程
    • 6 篇 信息与通信工程
    • 6 篇 控制科学与工程
    • 3 篇 软件工程
    • 2 篇 机械工程
    • 2 篇 动力工程及工程热...
    • 2 篇 电子科学与技术(可...
    • 2 篇 网络空间安全
    • 1 篇 材料科学与工程(可...
    • 1 篇 冶金工程
    • 1 篇 化学工程与技术
    • 1 篇 石油与天然气工程
    • 1 篇 环境科学与工程(可...
    • 1 篇 生物医学工程(可授...
  • 5 篇 管理学
    • 4 篇 管理科学与工程(可...
    • 1 篇 公共管理
    • 1 篇 图书情报与档案管...
  • 4 篇 医学
    • 3 篇 基础医学(可授医学...
    • 2 篇 公共卫生与预防医...
  • 3 篇 法学
    • 2 篇 社会学
    • 1 篇 法学
  • 3 篇 理学
    • 1 篇 数学
    • 1 篇 化学
    • 1 篇 生物学
  • 2 篇 文学
    • 2 篇 新闻传播学
  • 1 篇 农学

主题

  • 26 篇 supervised machi...
  • 2 篇 cyber security
  • 2 篇 random forest
  • 2 篇 pattern classifi...
  • 2 篇 text processing
  • 2 篇 intrusion detect...
  • 2 篇 algorithmic trad...
  • 2 篇 learning trade-o...
  • 1 篇 interactive syst...
  • 1 篇 covid-19
  • 1 篇 intrusion detect...
  • 1 篇 real-time analys...
  • 1 篇 network attacks ...
  • 1 篇 support vector m...
  • 1 篇 random forest re...
  • 1 篇 language models
  • 1 篇 industry 4.0
  • 1 篇 nickel photodepo...
  • 1 篇 decision support...
  • 1 篇 deep learning

机构

  • 2 篇 faculty of princ...
  • 1 篇 ahsanullah unive...
  • 1 篇 instituto federa...
  • 1 篇 madras christian...
  • 1 篇 super sch comp g...
  • 1 篇 turkish aeronaut...
  • 1 篇 guru nanak dev u...
  • 1 篇 centro universit...
  • 1 篇 seoul natl univ ...
  • 1 篇 sri ramakrishna ...
  • 1 篇 atilim univ dept...
  • 1 篇 kwame nkrumah un...
  • 1 篇 miet dept cse ja...
  • 1 篇 inner mongolia u...
  • 1 篇 kcg college of t...
  • 1 篇 univ limpopo dep...
  • 1 篇 jeju natl univ d...
  • 1 篇 adana sci & tech...
  • 1 篇 mansoura univ fa...
  • 1 篇 alexandria univ ...

作者

  • 1 篇 attia mennattall...
  • 1 篇 tejaswini b.
  • 1 篇 maposa daniel
  • 1 篇 cho sung-min
  • 1 篇 abulnoor bassam ...
  • 1 篇 zhang xianguo
  • 1 篇 brighty s. princ...
  • 1 篇 attia mohamed h.
  • 1 篇 gupta shreya
  • 1 篇 tzoumanikas pana...
  • 1 篇 yanez-marquez co...
  • 1 篇 jiang chengzhi
  • 1 篇 abdelgwad ebtisa...
  • 1 篇 wang xinyue
  • 1 篇 shahriyari leili
  • 1 篇 akbari kohnehsar...
  • 1 篇 tveter daniel
  • 1 篇 kouta hanan
  • 1 篇 chung wanjin
  • 1 篇 argiriou athanas...

语言

  • 26 篇 英文
  • 1 篇 德文
  • 1 篇 法文
检索条件"主题词=Supervised machine learning algorithms"
26 条 记 录,以下是11-20 订阅
排序:
Link Prediction with supervised learning on an Industry 4.0 related Knowledge Graph  26
Link Prediction with Supervised Learning on an Industry 4.0 ...
收藏 引用
26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
作者: Grangel-Gonzalez, Irlan Shah, Fasal Robert Bosch Corp Res Renningen Germany Robert Bosch Engn & Business Solut Private Ltd Bangalore Karnataka India
Industry 4.0 requires the integration of many actors to provide correct, personalized, and quick answers to customers. In order to meet this integration, data coming from different actors demand to be semantically int... 详细信息
来源: 评论
Toxicity Detection Using State of the Art Natural Language Methodologies  8
Toxicity Detection Using State of the Art Natural Language M...
收藏 引用
8th International Conference on Control and Robotics Engineering (ICCRE)
作者: Keskin, Enes Faruk Acikgoz, Erkut Dogan, Gulustan Turkish Aeronaut Assoc Univ Dept Comp Engn Ankara Turkiye Atilim Univ Dept Ind Engn Ankara Turkiye Univ North Carolina Wilmington Dept Comp Sci Wilmington NC USA
In this paper, the studies carried out to detect objectionable expressions in any text will be explained. Experiments were performed with Sentence transformers, supervised machine learning algorithms, and Bert transfo... 详细信息
来源: 评论
Intrusion Detection Systems using supervised machine learning Techniques: A survey
收藏 引用
Procedia Computer Science 2022年 201卷 205-212页
作者: Emad E. Abdallah Wafa’ Eleisah Ahmed Fawzi Otoom Faculty of Prince Al-Hussein Bin Abdullah II for Information Technology The Hashemite University P.O. Box 330127 Zarqa 13133 Jordan
In this paper, we investigate the subject of intrusion detection using supervised machine learning methods. The main goal is to provide a taxonomy for linked intrusion detection systems and supervised machine learning... 详细信息
来源: 评论
A Pipelined Framework for the Prediction of Cardiac Disease with Dimensionality Reduction  1
收藏 引用
2nd International Conference on Advanced Network Technologies and Intelligent Computing (ANTIC)
作者: Shobana, G. Subramanian, Nalini Madras Christian Coll Dept Comp Applicat Chennai Tamil Nadu India Rajalakshmi Engn Coll Dept Informat Technol Thandalam India
Cardiac diseases are diseases that affect people across the globe, and cardiac failure occurs without any warning. Identification of cardiac diseases at an early stage becomes a challenge for researchers in the health... 详细信息
来源: 评论
Ensemble based machine learning Approach for Predicting Customer Churn in E-Commerce  26
Ensemble based Machine Learning Approach for Predicting Cust...
收藏 引用
26th International Conference on Computer and Information Technology, ICCIT 2023
作者: Masroor, Mohammad Irtiza Sadman Sakib, K.M. Hasan, Mahmudul Al Arman, Md Abdullah Dey, Pronay Sanam, Tahsina Farah Ahsanullah University of Science & Technology Dhaka Bangladesh Northern University Bangladesh Dhaka Bangladesh Bangladesh University of Engineering & Technology Dhaka Bangladesh
Due to the intense competition among E-Commerce industries, customers have a large selection of products to choose from and as a result, these industries experience customer churn. Since retaining existing customers t... 详细信息
来源: 评论
Detection of Adulteration in Fruits Using machine learning  6
Detection of Adulteration in Fruits Using Machine Learning
收藏 引用
6th International Conference on Wireless Communications, Signal Processing and Networking (IEEE WiSPNET)
作者: Brighty, S. Prince Sahaya Harini, G. Shri Vishal, N. Sri Ramakrishna Engn Coll Dept CSE Coimbatore Tamil Nadu India
Food is essential for life. The food we take should be pure, nutritious and free from any type of adulteration for proper maintenance of human health. In this paper, an IoT based food and formalin detection technique ... 详细信息
来源: 评论
Effect of normalization methods on the performance of supervised learning algorithms applied to HTSeq-FPKM-UQ data sets: 7SK RNA expression as a predictor of survival in patients with colon adenocarcinoma
收藏 引用
BRIEFINGS IN BIOINFORMATICS 2019年 第3期20卷 985-994页
作者: Shahriyari, Leili Ohio State Univ Math Biosci Inst Columbus OH 43210 USA
Motivation: One of the main challenges in machine learning (ML) is choosing an appropriate normalization method. Here, we examine the effect of various normalization methods on analyzing FPKM upper quartile (FPKM-UQ) ... 详细信息
来源: 评论
Classifying design-level requirements using machine learning for a recommender of interaction design patterns
收藏 引用
IET SOFTWARE 2020年 第5期14卷 544-552页
作者: Silva-Rodriguez, Viridiana Edith Nava-Munoz, Sandra Castro, Luis A. Martinez-Perez, Francisco E. Perez-Gonzalez, Hector G. Torres-Reyes, Francisco Univ Autonoma San Luis Potosi Fac Ingn Dr Manuel Nava 8 San Luis Potosi San Luis Potosi Mexico Inst Tecnol Sonora Dept Computac & Diseno Obregon Mexico
Software Engineering is a discipline that encompasses processes associated with the development of interactive systems. The perceived quality of an interactive system is heavily influenced by the user interface design... 详细信息
来源: 评论
Analysis of COVID-19 cases and comorbidities using machine learning algorithms: A case study of the Limpopo Province, South Africa
收藏 引用
SCIENTIFIC AFRICAN 2023年 21卷
作者: Boateng, Alexander Maposa, Daniel Mokobane, Reshoketswe Darikwa, Timotheus Gyamfi, Charles Univ Free State Dept Biostat Bloemfontein South Africa Univ Limpopo Dept Stat & Operat Res Polokwane South Africa Kwame Nkrumah Univ Sci & Technol Dept Stat & Actuarial Sci Kumasi Ghana
This study examined the biological, social, and clinical risk factors for mortality in coronavirus of the year 2019 (COVID-19) hospitalised patients. The population of the study is prone to COVID-19, thus understandin... 详细信息
来源: 评论
HDPF: Heart Disease Prediction Framework Based on Hybrid Classifiers and Genetic Algorithm
收藏 引用
IEEE ACCESS 2021年 9卷 146797-146809页
作者: Ashri, Sarria E. A. El-Gayar, M. M. El-Daydamony, Eman M. Mansoura Univ Fac Comp & Informat Sci Dept Informat Technol Mansoura 35516 Egypt
supervised machine learning algorithms are powerful classification techniques commonly used to build prediction models that help diagnose the disease early. However, some challenges like overfitting and underfitting n... 详细信息
来源: 评论