MRI-based intratumoral and peritumoral radiomics for assessing deep myometrial invasion in patients with early-stage endometrioid adenocarcinoma by Jing Yang, Yang Liu, Xiaolong Liu, Yaoxin Wang, Xianhong Wang, Conghui Ai, Qiu Bi, Ying Zhao

“…Integrated models were constructed by ensemble and stacking algorithms based on the above radiomics models. …”
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Study on debris flow vulnerability of ensemble learning model based on spy technology A case study of upper Minjiang river basin by Yutao Chen, Ning Li, Fucheng Xing, Han Xiang, Zilong Chen

“…Since it is challenging to predict debris flows with precision using traditional methods, machine learning algorithms have been used more and more in this field in recent years. …”
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Distinctive Behaviors of Druggable Proteins in Cellular Networks. by Costas Mitsopoulos, Amanda C Schierz, Paul Workman, Bissan Al-Lazikani

“…We develop, computationally validate and provide the first public domain predictive algorithm for identifying druggable neighborhoods based on network parameters. …”
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Identifying chaotic dynamics in nonuniformly dissipative and conservative dynamical systems from the varying divergence by Diego S. de la Vega, Olga G. Félix-Beltrán, Jesus M. Munoz-Pacheco

“…Although many familiar tools exist to respond to that question, new efficient algorithms in time and complexity must be developed to cope with the striking characteristics of novel chaotic systems, e.g., systems with non-uniform divergence.In this framework, a new metric to evaluate the chaotic behavior in nonuniformly dynamical systems using the divergence operator of the vector field is proposed. …”
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Perceived age estimation from facial image and demographic data in young and middle-aged South Korean adults by Ilkoo Ahn, Younghwa Baek, Bok-Nam Seo, Su Eun Lim, Kyoungsik Jung, Ho Seok Kim, Jeongkyun Kim, Sukyung Lee, Siwoo Lee

“…Thus, this study aimed to propose a novel perceived age estimation algorithm to meet the need for an objective method to predict perceived age. …”
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Reinforcement learning-driven task migration for effective temperature management in 3D noc systems by Jingyi Tang, Jun Hong

“…The rise in temperature will result in diminished dependability and performance decline, thus necessitating the construction of thermal management algorithms for these systems. This study presents an algorithm for this goal that is based on task migration. …”
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Implementation and Applications of Intelligent Batch Processing Technology for Isotope Injection Profile Logging Interpretation by SUN Liang

“…Through integrated operation on the national major scientific and technological integration platform CIFLog, the single well processing time is reduced from 30～60minutes to 30 seconds, and the manual intervention rate is less than 12%, verifying the effectiveness of the processing process and algorithm.…”
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Deep transcriptomics reveals cell-specific isoforms of pan-neuronal genes by Zachery Wolfe, David Liska, Adam Norris

“…We develop an algorithm to identify unique cell-specific expression patterns, which reveals both cell-specific isoforms and potential regulatory factors establishing these isoforms. …”
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Application of selective ensemble learning soft sensor modeling based on GPR in the solar thermal power collection system by Yalu Sun, Kun Ding, Changhai Yang, Zhuxiu Wang

“…Finally, the set pruning strategy based on a genetic algorithm (GA) was used to select the MGPR model with high estimation performance, and the base models were fused by the Stacking algorithm to obtain the SESMGPR model. …”
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Detecting anomalies in blockchain transactions using machine learning classifiers and explainability analysis by Mohammad Hasan, Mohammad Shahriar Rahman, Helge Janicke, Iqbal H. Sarker

“…This algorithm is compared against other commonly used under-sampling and over-sampling techniques. …”
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Image Preprocessing Framework for Time-domain Astronomy in the Artificial Intelligence Era by Liang Cao, Peng Jia, Jiaxin Li, Yu Song, Chengkun Hou, Yushan Li

“…Image preprocessing, which involves standardizing images for training or deployment of various AI algorithms, encompasses essential steps such as image quality evaluation, alignment, stacking, background extraction, gray-scale transformation, cropping, source detection, astrometry, and photometry. …”
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An intelligent incentive-based demand response program for exhaustive environment constrained techno-economic analysis of microgrid system by Bishwajit Dey, Gulshan Sharma, Pitshou N. Bokoro, Soham Dutta

“…Abstract The cost-effective scheduling of distributed energy resources through sophisticated optimization algorithms is the main focus of recent work on microgrid energy management. …”
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Simulation and Optimization of Fatigue Life of Carbon-Epoxy Composite Sub Frame by Roohollah Talebitoot, Seyedmahdi Seyedraoufi

“…In the present work, fatigue failure was determined based on Lessard and Shokrieh progressive model in composite sub-frame subjected to fatigue loading in its service life, and a genetic algorithm was used to find the optimum stacking sequence to achieve maximum fatigue life. …”
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SLAM: Sales Lead AMplification Through GenAI and ML for e-Learning Platforms by Ganesan Ramachandran, Tanmay Narang, Vallidevi Krishnamurthy

“…This study investigates sales lead prediction utilizing machine learning techniques, with a particular focus on the ensemble method of stacking algorithms. The research objective is to improve the predictive accuracy of sales lead identification through the utilization of advanced machine learning methodologies. …”
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Enhanced flux potential analysis links changes in enzyme expression to metabolic flux by Xuhang Li, Albertha J M Walhout, L Safak Yilmaz

“…Abstract Algorithms that constrain metabolic network models with enzyme levels to predict metabolic activity assume that changes in enzyme levels are indicative of flux variations. …”
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Sensitivity Analysis of Unmanned Aerial Vehicle Composite Wing Structural Model Regarding Material Properties and Laminate Configuration by Artur Kierzkowski, Jakub Wróbel, Maciej Milewski, Angelos Filippatos

“…A Multi-Objective Genetic Algorithm (MOGA), well suited for complex engineering problems, was employed alongside Design of Experiments to develop a precise response surface model, achieving predictive errors of 0% for mass and 2.99% for frequency. …”
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Bayesian subset-based gene selection for biomarker discovery in high-dimensional data by Petros Paplomatas, Zoi Kyriakou, Kostas Anagnostopoulos, Aristidis Vrahatis

“… We introduce the Bayesian Subset-based Gene Selection (BSGS) algorithm, a novel framework tailored for high-dimensional gene expression analysis. …”
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GAT-Enhanced YOLOv8_L with Dilated Encoder for Multi-Scale Space Object Detection by Haifeng Zhang, Han Ai, Donglin Xue, Zeyu He, Haoran Zhu, Delian Liu, Jianzhong Cao, Chao Mei

“…Traditional YOLO-series algorithms encounter challenges such as poor robustness in small object detection and significant interference from complex backgrounds. …”
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Machine Learning-Based Prediction of Unplanned Readmission Due to Major Adverse Cardiac Events Among Hospitalized Patients with Blood Cancers by Nguyen Le BPharm, Sola Han PhD, Ahmed S. Kenawy MS, Yeijin Kim MS, Chanhyun Park PhD

“…The SuperLearner algorithm was used for stacking models. Cost-sensitive learning addressed data imbalance, and hyperparameters were tuned using 5-fold cross-validation with Optuna framework. …”
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Scalable Detection of Underground Water Leaks in Dense Urban Environments Using L-Band SAR and Machine Learning by E. Ali, E. Ali, L. Xie, A. Sani-Mohammed, W. Xu, T. Zayed

“…Features extracted via Gray-Level Co-occurrence Matrix (GLCM) metrics and backscattering coefficients were used to train various machine learning, deep learning, and ensemble learning models, with hyperparameter optimization performed using a grid search algorithm. Among these, the stacking algorithm delivered the best performance, achieving an accuracy of 80%. …”
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