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On the geometry of stack-sorting simplices
Published 2025-08-01Subjects: “…stack-sorting algorithm…”
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Determination of the FIFO-stack size for the algorithm of the image region growing
Published 2019-12-01“…The aim of the work is to derive an expression that allows determining the size of the FIFO-stack for storing the coordinates of adjacent pixels depending on the image size for the segmentation algorithm based on region growing. …”
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Scalable Full-Stack Benchmarks for Quantum Computers
Published 2024-01-01“…Our benchmarks assess the integrated performance of a quantum processor's classical compilation algorithms and its low-level quantum operations. Unlike existing “full-stack benchmarks,” our benchmarks do not require classical simulations of quantum circuits, and they use only efficient classical computations. …”
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Flood Area Prediction using a Stacked Ensemble of Tree-Based Algorithms
Published 2025-06-01“…For Dataset A, stacked ensemble model performed better than single algorithms with accuracy, precision, specificity, f1score and recall of 99.62%, 99.51%, 99.51%, 99.63% and 99.73% respectively. …”
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A Novel Hierarchical Algorithm for Bearing Fault Diagnosis Based on Stacked LSTM
Published 2019-01-01“…Aiming to overcome shortcomings of shallow structures, a novel hierarchical algorithm based on stacked LSTM (long short-term memory) is proposed in this text. …”
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Predicting Dilution in Underground Mines with Stacking Artificial Intelligence Models and Genetic Algorithms
Published 2025-05-01“…A total of eight supervised machine learning algorithms were investigated, with their hyperparameters systematically optimized using two distinct genetic algorithm (GA) strategies evaluated under varying population sizes. …”
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Acoustic impedance inversion via voting stacked regression (VStaR) algorithms
Published 2025-07-01“…To refine the AI estimation, we used stacking and voting regression algorithms, with depth, two-way travel time (TWTT), and nine seismic attributes as inputs. …”
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Stacking modeling with genetic algorithm-based hyperparameter tuning for uniaxial compressive strength prediction
Published 2025-09-01Subjects: Get full text
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Estimated ultimate recovery prediction of shale gas wells based on stacked integrated learning algorithm
Published 2025-06-01“…Furthermore, the model is optimized using the Tree-structured Parzen Estimator (TPE) algorithm. The proposed stacking ensemble learning model was validated using a publicly available dataset comprising 506 groups of EUR data of shale gas. …”
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Evaluation Method of Total Organic Carbon Content in Shale Based on Stacking Algorithm Ensemble Learning
Published 2024-04-01Subjects: Get full text
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PAD-SA: a method for predicting the turnover of scientific researchers based on ADASYN-Stacking algorithm
Published 2025-05-01“…To address these issues, this paper proposes a novel prediction method named PAD-SA (Prediction of Academic Departure using ADASYN-Stacking Algorithm) by employing the ADASYN (Adaptive Synthetic) sampling algorithm in conjunction with the Stacking algorithm. …”
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Sugarcane Feed Volume Detection in Stacked Scenarios Based on Improved YOLO-ASM
Published 2025-07-01“…Experimental results demonstrate that the fused YOLO-ASM algorithm reduces sugarcane volume error rates across feed volumes of one to six by 3.45%, 3.23%, 6.48%, 5.86%, 9.32%, and 11.09%, respectively, compared to the original stereo matching algorithm. …”
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A hybrid model for improving customer lifetime value prediction using stacking ensemble learning algorithm
Published 2025-05-01Subjects: Get full text
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Low Complexity Unquantized Forward Stack Decoding Algorithm for Spinal Codes in Measurement While Drilling Communication
Published 2025-01-01“…This paper proposes an unquantized forward stack decoding algorithm that dynamically adjusts the number of retained candidate nodes based on channel conditions. …”
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Prediction of Soil Liquefaction Using a Multi-Algorithm Technique: Stacking Ensemble Techniques and Bayesian Optimization
Published 2025-04-01“…It was constructed utilizing primary algorithms like decision trees, support vector machines, and k-nearest neighbors, as well as secondary algorithms like the random forest algorithm. …”
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Enhancing flood susceptibility mapping in Meghna River basin by introducing ensemble Naive Bayes with stacking algorithms
Published 2025-12-01“…This article intends to assess flood susceptibility mapping in Meghna River basin (MRB) and identified flood susceptible regions using three benchmark models including random forest (RF), support vector machine (SVM) and bagging with Naïve Bayes (NB) stacking ensemble algorithms (e.g. RF-NB; SVM-NB and Bagging-NB). …”
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An integrated stacked convolutional neural network and the levy flight-based grasshopper optimization algorithm for predicting heart disease
Published 2025-06-01“…This study proposes a novel hybrid model integrating a Stacked Convolutional Neural Network (SCNN) with the Levy Flight-based Grasshopper Optimization Algorithm (LFGOA) to address this challenge. …”
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Simultaneous Shape and Stacking Sequence Optimization of Laminated Composite Free-Form Shells Using Multi-Island Genetic Algorithm
Published 2019-01-01“…A simultaneous shape and stacking sequence optimization algorithm is presented for laminated composite free-form shells, by which the coupled effect of shape and stacking sequence can be considered. …”
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