ConvNextUNet: A small-region attentioned model for cardiac MRI segmentation DOI
Huiyi Zhang, Zemin Cai

Computers in Biology and Medicine, Journal Year: 2024, Volume and Issue: 177, P. 108592 - 108592

Published: May 16, 2024

Language: Английский

A Novel Forecasting Framework Leveraging Large Language Model and Machine Learning for Methanol Price DOI
Wenyang Wang,

Yuping Luo,

Mingrui Ma

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135123 - 135123

Published: Feb. 1, 2025

Language: Английский

Citations

2

Knowledge distillation model for Acute Lymphoblastic Leukemia Detection: Exploring the impact of nesterov-accelerated adaptive moment estimation optimizer DOI
Esraa Hassan, Abeer Saber, Samar Elbedwehy

et al.

Biomedical Signal Processing and Control, Journal Year: 2024, Volume and Issue: 94, P. 106246 - 106246

Published: March 30, 2024

Language: Английский

Citations

15

Secure and Transparent Lung and Colon Cancer Classification Using Blockchain and Microsoft Azure DOI Creative Commons
Entesar Hamed I. Eliwa, Amr Mohamed El Koshiry, Tarek Abd El‐Hafeez

et al.

Advances in respiratory medicine, Journal Year: 2024, Volume and Issue: 92(5), P. 395 - 420

Published: Oct. 17, 2024

The global healthcare system faces challenges in diagnosing and managing lung colon cancers, which are significant health burdens. Traditional diagnostic methods inefficient prone to errors, while data privacy security concerns persist.

Language: Английский

Citations

10

Bi-directional information fusion-driven deep network for ship trajectory prediction in intelligent transportation systems DOI Creative Commons
Huanhuan Li, Wenbin Xing,

Hang Jiao

et al.

Transportation Research Part E Logistics and Transportation Review, Journal Year: 2024, Volume and Issue: 192, P. 103770 - 103770

Published: Sept. 20, 2024

Language: Английский

Citations

9

Privacy-preserving blockchain-based federated learning for brain tumor segmentation DOI
Rajesh Kumar,

Cobbinah M. Bernard,

Aman Ullah

et al.

Computers in Biology and Medicine, Journal Year: 2024, Volume and Issue: 177, P. 108646 - 108646

Published: May 24, 2024

Language: Английский

Citations

6

Machine Learning–Based Hyperglycemia Prediction: Enhancing Risk Assessment in a Cohort of Undiagnosed Individuals DOI Creative Commons
Kolapo Oyebola, Funmilayo C. Ligali, Afolabi Owoloye

et al.

JMIRx Med, Journal Year: 2024, Volume and Issue: 5, P. e56993 - e56993

Published: April 24, 2024

Noncommunicable diseases continue to pose a substantial health challenge globally, with hyperglycemia serving as prominent indicator of diabetes.

Language: Английский

Citations

4

Optimization of diabetes prediction methods based on combinatorial balancing algorithm DOI Creative Commons

Huizhi Shao,

Xiang Liu, DaShuai Zong

et al.

Nutrition and Diabetes, Journal Year: 2024, Volume and Issue: 14(1)

Published: Aug. 14, 2024

Diabetes, as a significant disease affecting public health, requires early detection for effective management and intervention. However, imbalanced datasets pose challenge to accurate diabetes prediction. This imbalance often results in models performing poorly predicting minority classes, overall diagnostic performance. To address this issue, study employs combination of Synthetic Minority Over-sampling Technique (SMOTE) Random Under-Sampling (RUS) data balancing uses Optuna hyperparameter optimization machine learning models. approach aims fill the gap current research concerning model optimization, thereby improving prediction accuracy computational efficiency. First, SMOTE RUS methods process dataset, distribution. Then, is utilized optimize hyperparameters LightGBM enhance its During experiment, effectiveness proposed evaluated by comparing training dataset before after balancing. The experimental show that enhanced LightGBM-Optuna improves from 97.07% 97.11%, precision 97.17% 98.99%. time required single search only 2.5 seconds. These demonstrate superiority method handling optimizing indicates combining algorithms with can effectively models, especially dealing

Language: Английский

Citations

4

A Bayesian regularization intelligent computing scheme for the fractional dengue virus model DOI Creative Commons
Manoj Gupta, Pattarasinee Bhattarakosol

Egyptian Informatics Journal, Journal Year: 2025, Volume and Issue: 29, P. 100606 - 100606

Published: Jan. 8, 2025

Language: Английский

Citations

0

Scheduling two-stage healthcare appointment systems via a knowledge-based biased random-key genetic algorithm DOI
Fajun Yang, Chao Li, Feng Wang

et al.

Swarm and Evolutionary Computation, Journal Year: 2025, Volume and Issue: 94, P. 101864 - 101864

Published: Feb. 9, 2025

Language: Английский

Citations

0

Decision-Making and Clustering Algorithms Based on the Scored-Energy of Hesitant Fuzzy Soft Sets DOI Creative Commons
José Carlos R. Alcantud, Nenad Stojanović,

Ljubica Djurović

et al.

International Journal of Fuzzy Systems, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 19, 2025

Language: Английский

Citations

0