Optimizing Stack-Yard Positioning in Full Shoreline Loading Operations by Xueqiang Du, Bencheng Luo, Jing Wang, Jieting Zhao, Dahai Li, Qian Sun, Haobin Li

“…An enhanced Constrained Optimization Genetic Algorithms-Greedy Randomized Adaptive Search (COGA-GRASP) algorithm is introduced to tackle this decision-making issue, and it is applied to identify the most optimal bay configuration for full shoreline loading operations. …”
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Investigation of Hysteresis Phenomena and Compensation in Piezoelectric Stacks for Active Rotor by Xiancheng Gu, Weidong Yang, Linghua Dong, Jinlong Zhou

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Stacking data analysis method for Langmuir multi-probe payload by Jin Wang, Jin Wang, Duan Zhang, Qinghe Zhang, Qinghe Zhang, Xinyao Xie, Fangye Zou, Qingfu Du, Qingfu Du, V. Manu, Yanjv Sun

“…In addition, due to the influence of satellite charging and flight wake, the currents collected between multi-probes have low consistency, introducing significant error into the measurement results. This study uses a stacking algorithm to process m-NLP data and incorporates the International Reference Ionosphere (IRI) model to correct the predicted electron density (Ne) values. …”
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Stacked ensemble model for NBA game outcome prediction analysis by Guangsen He, Hyun Soo Choi

“…Abstract This research presents a stacked ensemble approach that employs artificial intelligence (AI) techniques to predict the outcomes of NBA games. …”
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FDRL: a data-driven algorithm for forecasting subsidence velocities in Himalayas using conventional and traditional soil features by Sahil Sankhyan, Ajoy Kumar, Praveen Kumar, Aaditya Sharma, K. V. Uday, Varun Dutt

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Modeling of strike drone missions for conducting wave attacks in conditions of enemy anti-drone actions by Oleg Fedorovich, Dmytro Krytskyi, Mikhail Lukhanin, Oleksandr Prokhorov, Yuliia Leshchenko

“…A systematic analysis of military logistics for conducting massive attacks with strike drones is carried out. A set of strategies for using a swarm of drones on the battlefield is formed. …”
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Research on early warning model of coal spontaneous combustion based on interpretability by Huimin Zhao, Xu Zhou, Jingjing Han, Yixuan Liu, Zhe Liu, Shishuo Wang

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Comparison, optimization and application of multiple prestack inversion algorithm for intermediate basic volcanic reservoirs: A case study of Huoshiling Formation in Chaganhua area by LI Ruilei,CAO Lei,FAN Xuepei,FENG Xiaohui,LI Ning

“…Currently, the most widely used pre-stack simultaneous inversion algorithm is based on the Zoeppritz equation approximation of isotropic horizontal media. …”
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Research on Credit Default Prediction Model Based on TabNet-Stacking by Shijie Wang, Xueyong Zhang

“…The multi-population genetic algorithm is used to optimize the Attention Transformer automatic feature selection module. …”
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Research on Control System for Material Transport Vehicle Based on Stacking Model by LIU Yuanming, TANG Lingsi, Zen Shuhua

“…Finally, the control system was reinforced using an improved proportional-integral-differential (PID) control algorithm to optimize the control performance. This algorithm not only ensures control stability and accuracy, but also reduces energy consumption and mechanical wear. …”
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Face Spoofing Detection with Stacking Ensembles in Work Time Registration System by Rafał Klinowski, Mirosław Kordos

“…The ensemble comprises a convolutional neural network (CNN), a smartphone bezel-detection algorithm to identify faces displayed on electronic devices, a face context analysis module, and additional CNNs for image processing. …”
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An Observational Study on Flask Web Framework Questions on Stack Overflow (SO) by Luluh Albesher, Reem Alfayez

“…Afterward, we utilized the Latent Dirichlet Allocation (LDA) algorithm to identify Flask-related topics that are discussed within the set of the identified questions. …”
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Hyperspectral Estimation of Tea Leaf Chlorophyll Content Based on Stacking Models by Jinfeng Guo, Dong Cui, Jinxing Guo, Umut Hasan, Fengqi Lv, Zixing Li

“…In this study, derivative transformations were first applied to preprocess the tea hyperspectral data, followed by the use of the Stable Competitive Adaptive Reweighted Sampling (SCARS) algorithm for feature variable selection. Finally, multiple individual machine learning models and stacking models were constructed to estimate tea LCC based on hyperspectral data, with a particular emphasis on analyzing how the selection of base models and meta-models affects the predictive performance of the stacking models. …”
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Leveraging stacking machine learning models and optimization for improved cyberattack detection by Neha Pramanick, Jimson Mathew, Shitharth Selvarajan, Mayank Agarwal

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SIM-IPS: Stacked Intelligent Metasurface-Based Indoor Positioning System by Aisha Javed, Naveed Ul Hassan, Marco Di Renzo, Chau Yuen

“…In this paper, we introduce a stacked intelligent metasurface-based indoor positioning system (SIM-IPS), which is a novel IPS developed using an SIM, a transmissive metasurface with multiple layers of independently controlled meta-atoms. …”
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Early detection of plant leaf diseases using stacking hybrid learning. by Abdullah Sheneamer

“…Various approaches have been used to identify diseases, including image processing and sophisticated algorithms. The most effective method of disease identification from crops is automatic detection using methods of image processing and classification algorithms for the diseases to be categorised based on different picture attributes. …”
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A Financial Fraud Prediction Framework Based on Stacking Ensemble Learning by Shanshan Zhu, Haotian Wu, Eric W. T. Ngai, Jifan Ren, Daojing He, Tengyun Ma, Yubin Li

“…It uses the stacking ensemble technique to integrate numerous base models of machine learning algorithms for predicting financial fraud. …”
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Ensemble stacked model for enhanced identification of sentiments from IMDB reviews by Komal Azim, Alishba Tahir, Mobeen Shahroz, Hanen Karamti, Annia Almeyda Vazquez, Angel Rojas Vistorte, Imran Ashraf

“…The suggested ensemble RRLS model performs better than other learning algorithms and achieves a 90% accuracy rate, outperforming current methods. …”
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A Novel Strategy Coupling Optimised Sampling with Heterogeneous Ensemble Machine-Learning to Predict Landslide Susceptibility by Yongxing Lu, Honggen Xu, Can Wang, Guanxi Yan, Zhitao Huo, Zuwu Peng, Bo Liu, Chong Xu

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A Method for Enhancing Inventory Efficiency of Densely Stacked Tags in RFID Cabinets by Chengzhen Ma, Jia Chai, Kaiqi Ren, Tingting Xie, Zhicheng Ruan, Yuzhu Liu, Dan Zhang, Suiping Jiang

“…This paper explicitly proposes a novel algorithm to enhance the inventory efficiency of densely stacked tags in a radio frequency identification (RFID) cabinet. …”
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