An optimized multi-task contrastive learning framework for HIFU lesion detection and segmentation by Matineh Zavar, Hamid Reza Ghaffari, Hamid Tabatabaee

“…By employing a genetic algorithm, OMCLF explores and optimizes augmentation techniques suitable for medical data, avoiding distortions that could compromise diagnostic accuracy. …”
Get full text

Statistical optimization characterizations and Eco- friendly synthesis of silica from sugarcane bagasse by Girma Assefa Habte, Tafere Aga Bullo, Yasin Ahmed

“…The optimal conditions identified were a combustion temperature of 583.48 °C, a combustion time of 3.482 h, and a digestion time of 2.283 h, resulting in a silica yield of 69.6%. …”
Get full text

Transient study of an optimized waveguide sonic black hole with wave focusing properties by Hassanpour Guilvaiee Hamideh, Mousavi Abbas, Berggren Martin, Wadbro Eddie, Kaltenbacher Manfred, Toth Florian

“…However, the extent to which these effects occur, as well as the degree of wave dispersion introduced, has not been systematically quantified. This article investigates these aspects through transient finite-element computations, analyzing the properties of a novel, numerically optimized SBH with enhanced wave-focusing capabilities. …”
Get full text

Optimization model for enterprise financial management utilizing genetic algorithms and fuzzy logic by Sujuan Wang, Musadaq Mansoor

“…This model systematically defines decision variables and optimization objectives, providing a comprehensive framework for enterprise financial management. …”
Get full text

Special tax regimes for Small Businesses: Problems of choosing the optimal tax Burden by G. S. Klychova, Zh. G. Leontieva, E. N. Fakhretdinova, E. V. Zaugarova, I. M. Faizullin

“…Since the aggregate of tax payments (tax burden) is a defining moment for a business owner, the issues of its optimization become particularly relevant. the purpose of the study is to develop a methodology for determining the tax burden by small businesses applying special tax regimes. …”
Get full text

Aerodynamic Prediction and Design Optimization Using Multi-Fidelity Deep Neural Network by Bingchen Du, Ennan Shen, Jiangpeng Wu, Tongqing Guo, Zhiliang Lu, Di Zhou

“…This paper systematically investigates the performances of employing MFDNN models in predicting aerodynamic coefficients and in performing aerodynamic shape optimizations (ASOs), especially the impact of using various HF/LF data ratios for training models. …”
Get full text

Machine Learning and Parameter Optimization for Banking Stability Prediction and Determinants Identification in ASEAN by Pham Thuy Tu, Dao Le Kieu Oanh, Do Doan Trang

“…A rigorous cross-validation framework is employed to optimize forecasting accuracy, integrating Linear Regression, Random Forest, K-Neighbors, Decision Tree, Gradient Boosting, AdaBoost, Support Vector Regression, and XGBoost with Lasso, Ridge, and Elastic Net regularization. …”
Get full text

Advancing hard carbon anode for sodium-ion batteries: Mechanisms and optimization strategies by Yujie Guo, Shun Ji, Jinlin Wang, Ziyi Zhu, Yanjia Zhang, Jie Xiao, Feng Liu, Xiaoyuan Zeng

“…Moreover, this review comprehensively summarizes multi-dimensional performance improvement strategies, such as morphology engineering, heteroatom functionalization, defect engineering, and electrolyte optimization, and deeply explores future development directions of sodium-ion batteries and hard carbon anode, offering more valuable insights and a solid theoretical foundation for promoting the development of hard carbon anode technology and accelerating the commercialization process of sodium-ion battery.…”
Get full text

Measuring the Uncertainty of RFID Location Streams Based on Optimal Estimation Particle Filter by Yaozong Liu, Fawang Han, Xuesong Xu, Hong Zhang

“…In this paper, we systematically analyzed the characteristics of RFID location streams. …”
Get full text

Research Progress on Technology Parameter Optimization of High-speed Dry Gear Hobbing by CHENG Yao-nan, MA Chun-jie, ZHANG Jian-yu, XIN Li-ming, WANG Xin-yu

Get full text

Optimizing photovoltaic thermal systems with ternary hybrid nanofluids: Statistical and regression analysis by Ahmad Ayyad Alharbi, Ali Rashash Alzahrani

“…This comprehensive investigation systematically amalgamates multiple nanomaterials and crucial parameters, offering invaluable insights into the optimization of PV/T performance within complex fluid dynamics and configurations. …”
Get full text

Optimization for threat classification of various data types-based on ML model and LLM by Chaerim Hong, Taeyeon Oh

Get full text

Application of pulse width modulation control in EHD waveform to optimize printing performance by Dongqiao Bai, Jin Huang, Hongxiao Gong, Jianjun Wang, Mengyang Su, Pengbing Zhao, Chaoyu Liang

Get full text

Optimizing mRNA Vaccine Degradation Prediction via Penalized Dropout Approaches by Hwai Ing Soon, Azian Azamimi Abdullah, Hiromitsu Nishizaki, Latifah Munirah Kamarudin

“…The integration of DEet and HOPeR further optimized hyperparameter exploration, with DEet enhancing model robustness through dropout regularization and HOPeR introducing adaptive penalties to systematically eliminate suboptimal configurations. …”
Get full text

Research on the bearing characteristics and parameter optimization design of variable-section anchor rods by Changxing Zhu, Shengran Zhang, Duo Li, Xu Liu, Jiaqi Guo, Huazhe Jiao

“…To address the material waste caused by mismatch between anchor rods axial force and tensile capacity, this study proposes a variable cross-section bolt with a hollow tail section. …”
Get full text

Comprehensive Review on Personalized Pain Assessment and Multimodal Interventions for Postoperative Recovery Optimization by Xu J, Liu X, Zhao J, Zhao J, Li H, Ye H, Ai S

“…To address these limitations, we designed this comprehensive narrative review to systematically summarize relevant literature published between 2000 and 2024, from databases such as PubMed and Web of Science, with a particular focus on personalized pain assessment and multimodal interventions to optimize postoperative recovery. …”
Get full text

Model Optimization for High-Yield Biocrude in Co-Hydrothermal Liquefaction of Municipal Sludge by Botian HAO, Yunfei DIAO, Ya WEI, Donghai XU

“…At lower temperatures, a longer residence time is required to ensure complete reactions, whereas at higher temperatures, the optimal residence time is shorter. …”
Get full text

Constructing the optimal experimental autoimmune thyroiditis mouse model using porcine thyroglobulin by Ke Liu, Pei Zhang, Zi-Shan Jin, Xiang-Kun Meng, Jin-Li Luo, Jin-Li Luo, Jin-Li Luo, Lin Han, Xiao-Tong Yu

“…After balancing operational feasibility, pathological reproducibility, and immunological specificity, three subcutaneous and intravenous tail injection of 200 μg pTg are recommended as the optimal modeling protocol. This approach accelerates model selection, improves experimental efficiency, and reduces animal use, providing a robust foundation for AIT research.…”
Get full text

Soft computing applications in asphalt pavement: A comprehensive review of data-driven techniques using response surface methodology and machine learning by Nura Shehu Aliyu Yaro, Muslich Hartadi Sutanto, Mohd Rosli Hainin, Noor Zainab Habib, Aliyu Usman, Muhammad Sani Bello, Surajo Abubakar Wada, Abiola Usman Adebanjo, Ahmad Hussaini Jagaba

“…The goal of this paper is to provide a scientometric and systematic review of the application of RSM and ML applications in data-driven approaches such as optimizing, modeling, and predicting asphalt pavement performance to achieve sustainable asphalt pavements in support of numerous sustainable development goals (SDGs). …”
Get full text

SLR Systematic Literature Review: Metode Penilaian Kinerja Karyawan Menggunakan Human Performance Technology by Roni Habibi, Artha Glory Romey Manurung

“…This research was conducted over several years to assess employee performance. Therefore, this systematic literature review is carried out to identify the methods used for employee performance appraisal and mentions that optimization algorithms and fuzzy comprehensive methods are used as evaluation methods to assess performance appraisal methods. …”
Get full text