Supported by the Guangxi Zhuang Autonomous Region Health Commission Scientific Research Project,No.Z-A20220465;Guangxi Key R and D Plan,No.AB20297021;Guangxi Medical and Health Appropriate Technology Development and Promotion Application Project,No.S2022107;China Undergraduate Innovation and Entrepreneurship Training Program,No.S202310598074;Future Academic Star of Guangxi Medical University,No.WLXSZX23109.
BACKGROUND Early screening methods for gastric cancer(GC)are lacking;therefore,the disease often progresses to an advanced stage when patients first start to exhibit typical symptoms.Endoscopy and pathological biopsy ...
Objective:PCG represents the acoustic replay of heart sounds from the cardiac structure.To detect and analyse the different conditions of the heart,heart sound signals are essential.CVD is detected by classifiers who ...
Diabetes is a significant issue in the medical field. The detection and identification of the human eye diseases caused by excessive blood sugar levels in diabetes mellitus are important. The main objective of this st...
Beijing Municipal Science and Technol-ogy Commission(grant number Z211100002921013);Tongzhou Liang-gao Talents Project(grant number YH201920);Beijing Municipal Public Welfare Development and Reform Pilot Project for Medical Research In-stitutes(grant number JYY2024-14);Beijing Municipal Public Wel-fare Development and Reform Pilot Project for Medical Research Insti-tutes(grant number JYY2023-15);We thank all participants and their families for supporting this study.
Background: Small cell lung cancer (SCLC) is a highly aggressive disease characterized by early metastasis. Ane- uploid CD31- disseminated tumor cells (DTCs) and CD31+ disseminated tumor endothelial cells (DTECs) resi...
supported by MOTIE under Training Industrial Security Specialist for High-Tech Industry(RS-2024-00415520);supervised by the Korea Institute for Advancement of Technology(KIAT),and by MSIT under the ICT Challenge and Advanced Network of HRD(ICAN)Program(No.IITP-2022-RS-2022-00156310);supervised by the Institute of Information&Communication Technology Planning&Evaluation(IITP)。
With the rise of remote work and the digital industry,advanced cyberattacks have become more diverse and complex in terms of attack types and characteristics,rendering them difficult to detect with conventional intrus...
support from the Cyber Technology Institute(CTI)at the School of Computer Science and Informatics,De Montfort University,United Kingdom,along with financial assistance from Universiti Tun Hussein Onn Malaysia and the UTHM Publisher’s office through publication fund E15216.
Integrating machine learning and data mining is crucial for processing big data and extracting valuable insights to enhance decision-making.However,imbalanced target variables within big data present technical challen...
The key objective of intrusion detection systems(IDS)is to protect the particular host or network by investigating and predicting the network traffic as an attack or normal.These IDS uses many methods of machine learn...
As the use of blockchain for digital payments continues to rise,it becomes susceptible to various malicious attacks.Successfully detecting anomalies within blockchain transactions is essential for bolstering trust in ...
Internet of Things (IoT) networks present unique cybersecurity challenges due to their distributed and heterogeneous nature. Our study explores the effectiveness of two types of deep learning models, long-term memory ...
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...