A hybrid approach to predicting and classifying dental impaction: integrating regularized regression and XG boost methods by Asok Mathew, Pradeep K. Yadalam, Ahmed Radeideh, Shrouk Hady, Rona Swed, Reyyan Cheema, Majd Mousa AL-Mohammad, Mohammed Alsaegh, SR Shetty

“…Our feature selection process utilizes ensemble learning algorithms integrated with regularized regression techniques to analyze various parameters. This data analysis framework combines multiple predictive modeling approaches to achieve optimal results.ResultsThe horizontal type of impaction has the lowest S/W ratio (0.9267), indicating the least available distal to 2nd molar space. …”
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Implementation of the Prototype Method in Developing a Questionnaire Information System for Integrated Survey Services by Rhoedy Setiawan, Zainur Romadhon, Alvin Rainaldy Hakim

“…BlackBox Testing was conducted to ensure optimal system functionality. The results indicate that the proposed system enhances efficiency, minimizes data errors, and accelerates survey result analysis, ultimately contributing to improved academic and non-academic services at UMK.…”
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Research on entity recognition and alignment of APT attack based on Bert and BiLSTM-CRF by Xiuzhang YANG, Guojun PENG, Zichuan LI, Yangqi LYU, Side LIU, Chenguang LI

“…The massive APT attack analysis reports and threat intelligence generated by security companies have significant research value. …”
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Research on entity recognition and alignment of APT attack based on Bert and BiLSTM-CRF by Xiuzhang YANG, Guojun PENG, Zichuan LI, Yangqi LYU, Side LIU, Chenguang LI

“…The massive APT attack analysis reports and threat intelligence generated by security companies have significant research value. …”
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Remaining useful life prediction of a small sample of aero-engine based on an improved gray Markov model by Dong-hai Li, Ji-liang Tu, Hui Liu, Nai-zhi Liao

“…First, a two-stage feature engineering strategy is designed: (1) Spearman correlation analysis identifies degradation-sensitive physical parameters. (2) Principal component analysis reduces dimensionality while preserving degraded trajectory patterns. …”
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A Dual-Branch Deep Learning Framework Combining Xception and ResNet for Accurate Lung and Colon Cancer Detection by Chandrasekar Venkatachalam, Priyanka Shah

“…Early detection significantly enhances survival rates, but traditional diagnostic methods, which rely on manual analysis of histopathological images, are labor-intensive, error-prone, and inconsistent. …”
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Big data-driven corporate financial forecasting and decision support: a study of CNN-LSTM machine learning models by Aixiang Yang

“…A practical enterprise case analysis further confirms the model’s effectiveness in improving financial forecasting accuracy, optimizing decision-making, and mitigating financial risks. …”
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Machine Learning Algorithms in Predicting Prices in Volatile Cryptocurrency Markets by Miguel Jiménez-Carrión, Gustavo A. Flores-Fernandez

“…The model's performance was optimized through hyperparameter tuning, and its stability was validated using an analysis of variance (ANOVA). …”
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A Comparison of Elman Neural Network Performance Before and After Using Wavelet Transform by Hawnaz Hassan Sidiq, Mohammad Mahmood Faqe Hussein

“…This study investigates the application of wavelet transforms in optimizing model performance, focusing specifically on reducing the mean square error (MSE). …”
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Multi-Level Feature Fusion Attention Generative Adversarial Network for Retinal Optical Coherence Tomography Image Denoising by Yiming Qian, Yichao Meng

“…Its hybrid attention mechanism enhances clinical image quality, aiding retinal analysis and diagnosis.…”
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Predictive modeling of punchouts in continuously reinforced concrete pavement: a machine learning approach by Ghazi Al-Khateeb, Ali Alnaqbi, Waleed Zeiada

“…Initial exploratory analysis reveals varying distributions among the input features, which serves as the foundation for subsequent analysis. …”
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Alloys innovation through machine learning: a statistical literature review by Alireza Valizadeh, Ryoji Sahara, Maaouia Souissi

“…The critical analysis of the literature not only reveals prevailing trends and patterns but also shines a light on the inherent limitations within the traditional trial-and-error paradigm.…”
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Comparison of dynamic mode decomposition with other data-driven models for lung cancer incidence rate prediction by L. Raymond Guo, Jifu Tan, M. Courtney Hughes

“…IntroductionPublic health data analysis is critical to understanding disease trends. …”
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Research and Improvement of Flexible Micro-positioning Platform with a Three-dimensional Bridge-type Amplification Mechanism by Zhao Zhiquan, Zhu Xijing, Li Jing, Cui Jiajun

“…Through calculation, the amplification ratio and natural frequency were determined to be 19.90 and 193.26 Hz respectively, under the optimal parameters. Finite element analysis was used to verify the amplification ratio and natural frequency, resulting in relative errors of 4.3% and 5.9% respectively. …”
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A Cross-Entropy Approach to the Domination Problem and Its Variants by Ryan Burdett, Michael Haythorpe, Alex Newcombe

“…These problems have various real-world applications, including error correction codes, ad hoc routing for wireless networks, and social network analysis, among others. …”
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Improved Design of an Eddy-Current Speed Sensor Based on Harmonic Modeling Technique by Duy-Tinh Hoang, Manh-Dung Nguyen, Yong-Joo Kim, Anh-Tuan Phung, Kyung-Hun Shin, Jang-Young Choi

“…The results show that the magnetic shaft offers the highest sensitivity, while a nonmagnetic shaft with low conductivity ensures optimal linearity. Meanwhile, a nonmagnetic shaft with high conductivity leads to low sensitivity and higher linearity errors. …”
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Design and Application of a Liquid Detection Device Based on Transmission Near-Infrared Spectroscopic Imaging by Jintao Liu, Li Luo, Xiangyang Yu, Yefan Cai, Weibin Hong

“…Experimental results showed that the relative error of the predicted concentration values was within 4%, indicating excellent detection performance. …”
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Prediction of Low-Temperature Rheological Properties of SBS Modified Asphalt by Qian Chen, Chaohui Wang, Liang Song

“…Compared with the traditional prediction models, the error of the GA-ELM model was reduced by 68.97–81.48%.…”
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Study on subsurface damage of WC-10Co-4Cr coating in planar grinding of cup sand wheels by SHEN Xiandi, JIANG Chen, JIANG Zhenyu, ZHANG Yixuan, WANG Lingqi, PU Guiyuan

“…The maximum relative error is 15.8%, and the predicted subsurface damage depth agrees with the measured value, according to the results. …”
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A nomogram for predicting early bacterial infection after liver transplantation: a retrospective study by Jie Yu, Jie Yu, Jichang Jiang, Jichang Jiang, Caili Fan, Caili Fan, Jinlong Huo, Jinlong Huo, Tingting Luo, Tingting Luo, Lijin Zhao, Lijin Zhao

“…The nomogram was constructed based on the above factors, achieving an AUC of 0.863 (95%CI: 0.808, 0.918), which showed that the mean absolute error between the predicted risk and the actual risk of the model was 0.044. …”
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