Final shade and whiteness: impact of various ultra-thin CAD/CAM veneers and tooth-colored resin substrates by Yinghui Wang, Xia Wei, Linjuan Gao, Dingkun Liu, Xing Chen, Liujun Lin, Yu Pan, Hao Yu, Guang Hong, Hui Cheng

“…Abstract Background Achieving optimal color control in chairside CAD/CAM ultra-thin veneers, remains a significant challenge for dental clinicians and technicians. …”
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Evaluation of levels of exposure of adult patients from common radiographic examinations in the Russian Federation in 2009–2014 by A. V. Vodovatov, V. Yu. Golikov, S. A. Kalnitsky, I. G. Shatsky, L. A. Chipiga

“…Diagnostic reference levels are the main and the most effective tools of optimization of the radiation protection of patients from medical exposure. …”
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Intelligent Fault Diagnosis of Inter-Turn Short Circuit Faults in PMSMs for Agricultural Machinery Based on Data Fusion and Bayesian Optimization by Mingsheng Wang, Wuxuan Lai, Hong Zhang, Yang Liu, Qiang Song

“…Thirdly, to tackle the issue of hyperparameter tuning in deep learning models, a hyperparameter optimization method based on Bayesian optimization is proposed. …”
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22 Advancing clinical trial reporting and AI integration: Optimizing protocol data extraction using LLMs and regulatory best practices by Ramya Sri Baluguri, Nicholas Anderson

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Analyzing social psychological impact on emotional expression through peer communication using crayfish optimization algorithm with deep learning model by Umkalthoom Alzubaidi

“…This paper uses the Crayfish Optimization Algorithm and Deep Learning (SPIEEPC-COADL) method to analyze the Social Psychological Impact on Emotional Expression through Peer Communication. …”
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Current Status, Challenges and Future Perspectives of Operation Optimization, Power Prediction and Virtual Synchronous Generator of Microgrids: A Comprehensive Review by Ling Miao, Ning Zhou, Jianwei Ma, Hao Liu, Jian Zhao, Xiaozhao Wei, Jingyuan Yin

“…Focusing on microgrid power forecasting techniques, including wind energy and PV power forecasting and load forecasting, the contributions and impacts of different power forecasting methods are summarized. …”
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Optimizing syphilis screening in South Africa: efficacy of the iStatis antibody test in point-of-care settings amid reinfection challenges by Sharana Mahomed, Savathree Madurai, Someshni Nair, Cherie Cawood, Joshua Eades, Dan Wang, Annalakshmi Subramanian

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Performance Enhancement of an SSVEP-Based Brain–Computer Interface in Augmented Reality Through Adaptive Color Adjustment of Visual Stimuli for Optimal Background Contrast by Cheong-Un Kim, Seonghun Park, Chang-Hwan Im

“…In an offline experiment, we determined the optimal visual stimulus presentation strategy by comparing the performances of three different methods for determining the colors of visual stimuli in an AR environment. …”
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Optimization of AA6351-SiC-B4C Hybrid Composites in Wire EDM Using Grey Relation Technique by Sreeram Hariharan, Uthayakumar Marimuthu, Thirumalai Kumaran Sundaresan, Suresh Kumar Shanmugam, Rajesh Kanna Govindhan Radhakrishnan, Dariusz Mierzwiński, Janusz Walter

“…The manufacturing methods of the composites have also improved in the recent past to ensure that the Reinforcements are properly distributed in the base matrix. …”
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Performance Enhancement of Gulf of El Zayt Wind Farm in Egypt Using a Novel Optimized Seconded Sliding Mode Control by Mohamed Ebeed, Nagwa Elbadry, Khairy Sayed, Ahmed Rashad, Sulaiman Z. Almutairi, Ahmed T. Hachemi, Emad A. Mohamed, Shazly A. Mohamed

“…To clear up the achievement of this improved method, its impact on the performance of Gulf of El Zayt wind farm stage one - 120 MW (GZWF-120) during a three-phase fault is compared with the impact of different control technologies such as the proportional integral controller (PI), optimized PI controller and PI-SMC controller the performance of GZWF-120. …”
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Default Risk Prediction of Enterprises Based on Convolutional Neural Network in the Age of Big Data: Analysis from the Viewpoint of Different Balance Ratios by Zhe Li, Zhenhao Jiang, Xianyou Pan

“…Second, a comprehensive metric model based on the machine learning algorithm is proposed, which can simultaneously find the best balance ratio and the optimal feature selection. The experimental results show that our method can noticeably improve the performance of CNN, and CNN outperforms the other four commonly used machine learning models in the task of default risk prediction on four benchmark datasets.…”
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A heuristic method based on LP relexation to solve the multiple allocation modular hub location problem by Zahra Arabzadeh Nosrat Abad, Farid Momayezi, Nader Ghaffarinasab

“…Due to long solution times for the MIP model, a heuristic solution method based on LP relaxation of the integer variables is developed for the proposed problem, which is able to obtain near-optimal solutions in less time.Findings: The developed mathematical model is implemented on the air passenger transportation data for the airports of the United States of America, which is known as the CAB data set. …”
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Correlation linking fibroblast growth factor 23 in circulation (FGF-23) and serum aldosterone levels in different stages of chronic kidney disease by Amira Hassan Elsaid Dohuim, Medhat Abd El Megeid Ghazy, Nahla Abdel Aziz Nosair, Amr Khalifa Hussien

“…This study aimed to assess the correlation linking fibroblast growth factor 23 (FGF23) in circulation and serum aldosterone levels in cases with CKD of different stages and investigate the theory that aldosterone may directly cause elevated FGF23 secretion in these cases. …”
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Optimization of Protein Extraction from Rapeseed Oil Cake by Dephenolization Process for Scale-Up Application Using Artificial Neural Networks by Branislava Đermanovć, Jelena Vujetić, Tea Sedlar, Danka Dragojlović, Ljiljana Popović, Predrag Kojić, Pavle Jovanov, Bojana Šarić

“…In this study, the effects of dephenolization on the structural, physicochemical, and functional properties of rapeseed protein isolate obtained from defatted rapeseed cake were investigated through four different protocols. All obtained protein isolates (PIs) exhibited high protein purity (above 65%), with a notable difference in extraction yield. …”
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Towards a Digital Twin for Gas Turbines: Thermodynamic Modeling, Critical Parameter Estimation, and Performance Optimization Using PINN and PSO by Jian Tiong Lim, Achnaf Habibullah, Eddie Yin Kwee Ng

“…Ultimately, the proposed methods aim to enhance GT operations via a data-driven digital twin concept combination of deep learning and optimization algorithms.…”
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Refined prognostication of pathological complete response in breast cancer using radiomic features and optimized InceptionV3 with DCE-MRI by Satyabrata Pattanayak, Tripty Singh, Rishabh Kumar

“…These features provided deeper insights into the characteristics of the MRI data and enhanced the discriminative power of our classification model.Secondly, we applied these extracted features along with combine pixel array of the dcom series of each patient to the numerous deep learning model along with InceptionV3 (GoogleNet) model which provides the best accuracy. To optimize the model’s performance, we experimented with different combinations of loss functions, optimizer functions, and activation functions. …”
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Feature Selection and Classification Optimization of Transformer Oil Odor Data With Recursive Feature Elimination Using Grid Search and Cross-Validation by Bilge Han Tozlu

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Numerical Study and Multi Objective Optimization of Coffee Husk Oil and Methyl Alcohol in Mini Channel Pin Fins with Varying Thickness by S. Das, N. Gnanasekaran

“…The purpose of this paper is to study how coffee husk oil and methyl alcohol flow and transfer heat in mini channel pin fins of different thicknesses. TOPSIS method is used to find the best configuration based on different weightages assigned for the Nusselt number and pumping power for multiple objectives. …”
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Unmanned Aerial Vehicle (UAV) Imagery for Plant Communities: Optimizing Visible Light Vegetation Index to Extract Multi-Species Coverage by Meng Wang, Zhuoran Zhang, Rui Gao, Junyong Zhang, Wenjie Feng

“…Low-cost unmanned aerial vehicle (UAV) visible light remote sensing provides new opportunities for plant community monitoring, but its practical deployment in different ecosystems is still limited by the lack of standardized vegetation index (VI) optimization for multi-species coverage extraction. …”
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Actor–Critic Reinforcement Learning for Throughput-Optimized Power Allocation in Energy Harvesting NOMA Relay-Assisted Networks by Faeik T. Al Rabee, Ala'Eddin Masadeh, Sharief Abdel-Razeq, Haythem Bany Salameh

“…Traditional optimization methods face challenges due to uncertainties in channel gains, EH, and blockages. …”
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