Machine learning and ontology-based novel semantic document indexing for information retrieval

A Sharma, S Kumar - Computers & Industrial Engineering, 2023 - Elsevier
The goal of information retrieval (IR) systems is to find the contents most closely related to
the user's information needs from a pool of information. However, conventional IR methods …

Application of 3D/4D/5D and 6D Bioprinting in Cancer Research: How Does the Future Look Like?

D Khorsandi, D Rezayat, S Sezen, R Ferrao… - Journal of Materials …, 2024 - pubs.rsc.org
The application of Three-and four-dimensional (3D/4D) printing in cancer research
represents a significant advancement in understanding and addressing the complexities of …

Analysis of the effectiveness of non-pharmaceutical interventions on influenza during the Coronavirus disease 2019 pandemic by time-series forecasting

HK Kim, KD Min, S Cho - BMC Infectious Diseases, 2023 - Springer
Abstract Background Coronavirus disease 2019 (COVID-19) was first identified in South
Korea during the 2019–2020 seasonal influenza epidemic. The social distancing measures …

Towards the future of bot detection: A comprehensive taxonomical review and challenges on Twitter/X

D Javed, NZ Jhanjhi, NA Khan, SK Ray, A Al Mazroa… - Computer Networks, 2024 - Elsevier
Abstract Harmful Twitter Bots (HTBs) are widespread and adaptable to a wide range of
social network platforms. The use of social network bots on numerous social network …

[PDF][PDF] A Study of BERT-Based Classification Performance of Text-Based Health Counseling Data.

YW Sung, DS Park, CG Kim - CMES-Computer Modeling in …, 2023 - cdn.techscience.cn
The entry into a hyper-connected society increases the generalization of communication
using SNS. Therefore, research to analyze big data accumulated in SNS and extract …

[PDF][PDF] Radiation pneumonitis prediction using multi-omics fusion based on a novel machine learning pipeline

B Li, X Zheng, W Guo, Y Wang, R Mao… - Hum.-Cent. Comput. Inf …, 2022 - hcisj.com
Radiomics and dosiomics as two kinds of imaging features are widely used for machine
learning-based prognosis prediction in adaptive radiotherapy. Feature selection and …

Novel graph-based machine-learning technique for viral infectious diseases: application to influenza and hepatitis diseases

E Alqaissi, F Alotaibi, M Sher Ramzan… - Annals of Medicine, 2023 - Taylor & Francis
Background Most infectious diseases are caused by viruses, fungi, bacteria and parasites.
Their ability to easily infect humans and trigger large-scale epidemics makes them a public …

Crop Yield Prediction in Agriculture Using Gradient Boosting Algorithm Compared with Random Forest

MYSK Yasaswy, T Manimegalai… - … Conference on Cyber …, 2022 - ieeexplore.ieee.org
To predict the crop yield rate using Innovative Gradient Boosting over Random Forest in
Agriculture. Random Forest and Gradient Boosting with sample size (N= 20) were iter-ated …

Meta learning-based open-set identification system for specific emitter identification in non-cooperative scenarios

C Xie, L Zhang, Z Zhong - KSII Transactions on Internet and …, 2022 - koreascience.kr
The development of wireless communication technology has led to the underutilization of
radio spectra. To address this limitation, an intelligent cognitive radio network was …

Secured Software Development and Importance of Secure Software Development Life Cycle

TJ Chun, LJ En, MTY Xuen, YM Xuan, S Muzafar - Authorea Preprints, 2023 - techrxiv.org
With the rapid advancement of technology, societyâ\euro™ s reliance on computers and the
internet has increased so much to the point that without them, certain aspects of this world …