Cross section of the metagrating and the distribution of effective homogeneous layers. حسب Xiaogang Li (299205)

الموضوعات:

First-level index results of different capacity configurations of P2H equipment. حسب Kuiyuan Pan (21145338)

Cut-based matheuristic algorithms to detect tacit collusion in deregulated electricity markets حسب Murat Elhüseyni (20744561)

"…In order to detect such collusions, we consider a non-linear bi-level problem formulation. The original bi-level formulation is reformulated using two alternative mixed integer linear programming formulations utilizing the linear programming property of the lower level and various linearization methods. …"

Comparison of image clarity results of product appearance design using different methods. حسب Cheng-jie Chen (22272090)

الموضوعات:

The effect of varying real-time immune rate <i>ν</i> on removed nodes for classical and FF model at level 0.90. حسب Nausheen Razi (20529049)

The effect of varying real-time immune rate <i>ν</i> on infected nodes for classical and FF model at level 0.90. حسب Nausheen Razi (20529049)

Spatial realizations of county-level land use projections for the conterminous United States, 2020-2070, used in the 2020 RPA Assessment حسب Evan B. Brooks (9524841)

"…Projected rasters were generated by allocating county-level gross land use change projections across the base map. …"

Enhancing Unconfined Compressive Strength prediction in geotechnical engineering: a novel approach using LSZO and LSWG optimization حسب Kunpeng Zhao (4268977)

"…The paper aims to develop an innovative method for predicting the <math><mi>UCS</mi></math> of rocks using a combination of the Zebra Optimisation Algorithm (ZOA) and the Wild Geese Algorithm (WGA) integrated with the Least Square Support Vector Regression (LSSVR) predictive model. …"

Signal strength of top 30 AEs of SZC at the PT level in FAERS database. حسب Yongfei Yu (3083934)

Comparison of grid points for each accessibility level at different time points on weekdays and weekends. حسب Xiaojie Feng (6873953)

الموضوعات: "…hierarchical clustering algorithm…"

Quantifying solution overlap using IOU (dots). حسب Tarun Khajuria (12117309)

Number of markers by categories for the different parameters used in clustering phase. حسب Julien Roche (611898)

الموضوعات:

Data Sheet 1_Strategies for population-level identification of post-acute sequelae of COVID-19 through health administrative data.pdf حسب Cristina Mazzali (22090328)

"…From each included study, we extracted data on design, algorithms used for outcome identification (sources, coding systems, codes, time criteria/thresholds), and whether significant associations with SARS-CoV-2 infection were reported.…"

Distribution of Lp(a), LDL-cholesterol, HDL-cholesterol and triglycerides levels in different genders and age groups. حسب Maria Helane Costa Gurgel Castelo (13861631)

الموضوعات:

Venn diagram comparing the top20 candidate important genes of the four algorithms: MCC, MNC, DEGREE and EPC. حسب MaoMeng Wang (22177417)

Multimaterial Metamaterial Inverse Design via Machine Learning for Tailorable and Reusable Energy Absorption حسب Xuyang Li (11431426)

"…We delve into studying the effects of material parameters, nodal coordinates, and beam diameter variations on the structural compressive performances by conducting over 20,000 simulation experiments on randomly generated BCC lattice structures using a finite element analysis. Subsequently, the metamaterials with the specific platform stress values (from 0.015 to 4.05 MPa) and specific energy absorptions (from 0.049 to 23.377 J/g) can be inversely designed with the aid of the artificial neural networks and genetic algorithms to pinpoint optimized parameters from a 181-dimensional space. …"

Multimaterial Metamaterial Inverse Design via Machine Learning for Tailorable and Reusable Energy Absorption حسب Xuyang Li (11431426)

"…We delve into studying the effects of material parameters, nodal coordinates, and beam diameter variations on the structural compressive performances by conducting over 20,000 simulation experiments on randomly generated BCC lattice structures using a finite element analysis. Subsequently, the metamaterials with the specific platform stress values (from 0.015 to 4.05 MPa) and specific energy absorptions (from 0.049 to 23.377 J/g) can be inversely designed with the aid of the artificial neural networks and genetic algorithms to pinpoint optimized parameters from a 181-dimensional space. …"

Multimaterial Metamaterial Inverse Design via Machine Learning for Tailorable and Reusable Energy Absorption حسب Xuyang Li (11431426)

"…We delve into studying the effects of material parameters, nodal coordinates, and beam diameter variations on the structural compressive performances by conducting over 20,000 simulation experiments on randomly generated BCC lattice structures using a finite element analysis. Subsequently, the metamaterials with the specific platform stress values (from 0.015 to 4.05 MPa) and specific energy absorptions (from 0.049 to 23.377 J/g) can be inversely designed with the aid of the artificial neural networks and genetic algorithms to pinpoint optimized parameters from a 181-dimensional space. …"

Multimaterial Metamaterial Inverse Design via Machine Learning for Tailorable and Reusable Energy Absorption حسب Xuyang Li (11431426)

"…We delve into studying the effects of material parameters, nodal coordinates, and beam diameter variations on the structural compressive performances by conducting over 20,000 simulation experiments on randomly generated BCC lattice structures using a finite element analysis. Subsequently, the metamaterials with the specific platform stress values (from 0.015 to 4.05 MPa) and specific energy absorptions (from 0.049 to 23.377 J/g) can be inversely designed with the aid of the artificial neural networks and genetic algorithms to pinpoint optimized parameters from a 181-dimensional space. …"

Multimaterial Metamaterial Inverse Design via Machine Learning for Tailorable and Reusable Energy Absorption حسب Xuyang Li (11431426)

"…We delve into studying the effects of material parameters, nodal coordinates, and beam diameter variations on the structural compressive performances by conducting over 20,000 simulation experiments on randomly generated BCC lattice structures using a finite element analysis. Subsequently, the metamaterials with the specific platform stress values (from 0.015 to 4.05 MPa) and specific energy absorptions (from 0.049 to 23.377 J/g) can be inversely designed with the aid of the artificial neural networks and genetic algorithms to pinpoint optimized parameters from a 181-dimensional space. …"