Results 11 to 20 of about 6,356,098 (354)

A DDoS Detection Method Based on Feature Engineering and Machine Learning in Software-Defined Networks [PDF]

Italian National Conference on Sensors, 2023
Distributed denial-of-service (DDoS) attacks pose a significant cybersecurity threat to software-defined networks (SDNs). This paper proposes a feature-engineering- and machine-learning-based approach to detect DDoS attacks in SDNs.
Zhenpeng Liu, Yihang Wang, Fan Feng, Yifan Liu, Zelin Li, Yawei Shan   +5 more
openalex   +2 more sources

Prediction and validation of nanowire proteins in <i>Oleidesulfovibrio alaskensis</i> G20 using machine learning and feature engineering. [PDF]

Comput Struct Biotechnol J
Raya D, Peta V, Bomgni A, Aryal S, Do TD, Jawaharraj K, Salem DR, Gadhamshetty V, Dhiman SS, Gnimpieba EZ.   +9 more
europepmc   +2 more sources

Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling

Military Medical Research, 2023
Modern medicine is reliant on various medical imaging technologies for non-invasively observing patients’ anatomy. However, the interpretation of medical images can be highly subjective and dependent on the expertise of clinicians.
Yuanpeng Zhang, Xinyu Zhang, Yuting Cheng, Bing Li, Xinzhi Teng, Jiang Zhang, Saikit Lam, Taoping Zhou, Zongrui Ma, Jiabao Sheng, V. C. Tam, S. Lee, H. Ge, Jing Cai   +13 more
semanticscholar   +1 more source

Effective Feature Engineering Technique for Heart Disease Prediction With Machine Learning

IEEE Access, 2023
Heart failure is a chronic disease affecting millions worldwide. An efficient machine learning-based technique is needed to predict heart failure health status early and take necessary actions to overcome this worldwide issue.
Azam Mehmood Qadri, Ali Raza, Kashif Munir, M. Almutairi   +3 more
semanticscholar   +1 more source

Exploring the Applicability of Transfer Learning and Feature Engineering in Epilepsy Prediction Using Hybrid Transformer Model

IEEE transactions on neural systems and rehabilitation engineering, 2023
Objective: Epilepsy prediction algorithms offer patients with drug-resistant epilepsy a way to reduce unintended harm from sudden seizures. The purpose of this study is to investigate the applicability of transfer learning (TL) technique and model inputs
Shuaicong Hu, Jian Liu, Rui Yang, Ya’nan Wang, Aiguo Wang, Kuanzheng Li, Wenxin Liu, Cuiwei Yang   +7 more
semanticscholar   +1 more source

A flexible feature selection approach for predicting students’ academic performance in online courses

Computers and Education: Artificial Intelligence, 2022
Educators' loss of ability to read students' comprehension level during the class through quick questions or nonverbal communication is one of the main challenges of online and blended learning. Many researchers recently tackled this problem by proposing
Ali Al-Zawqari, Dries Peumans, Gerd Vandersteen   +2 more
doaj   +1 more source

Feature Engineering and Model Optimization Based Classification Method for Network Intrusion Detection

Applied Sciences, 2023
In light of the escalating ubiquity of the Internet, the proliferation of cyber-attacks, coupled with their intricate and surreptitious nature, has significantly imperiled network security.
YuJie Zhang, Zebin Wang
semanticscholar   +1 more source

Exploring Feature Engineering Strategies for Improving Predictive Models in Data Science

Research journal of computer systems and engineering, 2023
A crucial step in the data science pipeline, feature engineering has a big impact on how well predictive models function. This study explores several feature engineering techniques and how they affect the robustness and accuracy of models.
Ekaterina Katya
semanticscholar   +1 more source

Effective Feature Engineering and Classification of Breast Cancer Diagnosis: A Comparative Study

BioMedInformatics, 2023
Breast cancer is among the most common cancers found in women, causing cancer-related deaths and making it a severe public health issue. Early prediction of breast cancer can increase the chances of survival and promote early medical treatment. Moreover,
Emilija Strelcenia, S. Prakoonwit
semanticscholar   +1 more source

A Novel Approach for Stock Price Prediction Using Gradient Boosting Machine with Feature Engineering (GBM-wFE)

Kurdistan Journal of Applied Research, 2020
The prediction of stock prices has become an exciting area for researchers as well as academicians due to its economic impact and potential business profits.
Rebwar M. Nabi, Soran Ab. M. Saeed, Habibollah Harron   +2 more
doaj   +1 more source