-
5061
Building Information Modelling- (BIM-) Based Generative Design for Drywall Installation Planning in Prefabricated Construction
Published 2021-01-01“…The integration of BIM with other analytical algorithms also allows optimization of designs, such as the generative design that can parametrize the design. …”
Get full text
Article -
5062
-
5063
Inversion Study of Hydrogeological Parameters for Metro Foundation Pit Confined Aquifiers Based on Surrogate Modeling
Published 2025-07-01“…The use of deep learning-based surrogate modeling combined with optimization algorithms enables efficient and accurate inversion analysis of groundwater parameters.…”
Get full text
Article -
5064
A multiobjective continuation method to compute the regularization path of deep neural networks
Published 2025-03-01“…For linear models, it is well known that there exists a regularization path connecting the sparsest solution in terms of the ℓ1 norm, i.e., zero weights and the non-regularized solution. …”
Get full text
Article -
5065
Comparison of Kolmogorov–Arnold Networks and Multi-Layer Perceptron for modelling and optimisation analysis of energy systems
Published 2025-05-01“…Considering the improved interpretable performance of Kolmogorov–Arnold Networks (KAN) algorithm compared to multi-layer perceptron (MLP) algorithm, a fundamental research question arises on how modifying the loss function of KAN affects its modelling performance for energy systems, particularly industrial-scale thermal power plants. …”
Get full text
Article -
5066
Power supply vehicle routing problem: formulation and solution
Published 2025-07-01“…Building on this definition, this problem is formulated as a two-stage mixed-integer nonlinear programming model. To solve this model, we adopted a genetic algorithm as the main algorithm framework. …”
Get full text
Article -
5067
-
5068
Query scheduling based on cloud-edge multi-data warehouse architecture and cost prediction model
Published 2025-01-01“…The scheduling framework and optimization algorithm achieve significant performance improvement on SSB and TPC-DS datasets. …”
Get full text
Article -
5069
Query scheduling based on cloud-edge multi-data warehouse architecture and cost prediction model
Published 2025-01-01“…The scheduling framework and optimization algorithm achieve significant performance improvement on SSB and TPC-DS datasets. …”
Get full text
Article -
5070
Enhancing Fault Detection in AUV-Integrated Navigation Systems: Analytical Models and Deep Learning Methods
Published 2025-06-01“…Specifically, the particle swarm optimization (PSO) algorithm was employed to optimize the hyperparameters of a long short-term memory (LSTM) neural network, leading to the development of a PSO-LSTM fault detection model. …”
Get full text
Article -
5071
Exponential Squared Loss-Based Robust Variable Selection with Prior Information in Linear Regression Models
Published 2025-07-01“…Experimental results demonstrate that our model significantly improves estimation robustness compared to existing methods, even in outlier-contaminated scenarios.…”
Get full text
Article -
5072
Numerical model of surface morphology and solid-liquid contact angle in wire electrical discharge machining
Published 2025-03-01“…Combining the established numerical model and multi-objective optimization algorithm, the contact angle of the surface machined by WEDM is greater than 125°, and the stability and controllability of hydrophobic surface preparation are greatly improved. …”
Get full text
Article -
5073
Apple Rootstock Cutting Drought-Stress-Monitoring Model Based on IMYOLOv11n-Seg
Published 2025-07-01“…The neck part is optimized by the KFHA module (Kalman filter and Hungarian algorithm model), and the head part enhances post-processing effects through HIoU-SD (hierarchical IoU–spatial distance filtering algorithm). …”
Get full text
Article -
5074
Storage life evaluation of photodetector based on multi-parameter performance degradation and competitive failure
Published 2025-04-01“…This method comprehensively considered whether the key performance parameters of the sample have deteriorated or improved trend. Firstly, the optimal degradation model with a single parameter was selected by performance degradation modeling, so that the pseudo-life of the sample with increasing degradation trend was calculated according to the failure threshold, and the pseudo-life was regarded as the right-censored data for the sample with decreasing degradation trend. …”
Get full text
Article -
5075
Dimensionless analysis and novel configuration for enhanced natural convection cooling in lithium-ion batteries
Published 2025-10-01“…A dimensionless analysis framework was developed and coupled with response surface models and a multi-objective genetic algorithm to optimize battery layouts for heat dissipation and temperature uniformity. …”
Get full text
Article -
5076
Intelligent System for Student Performance Prediction Using Machine Learning
Published 2024-12-01“…This study aims to develop an intelligent solution for predicting student performance using supervised machine learning algorithms. This proposed focus on addressing the limitations of existing prediction models and enhancing prediction accuracy. …”
Get full text
Article -
5077
Accelerating automatic model finding with layer replications case study of MobileNetV2.
Published 2024-01-01“…For a given network, various layers can be replicated, and effective replication can yield better accuracy. Our proposed algorithm identifies the optimal layer replication configuration for the model. …”
Get full text
Article -
5078
Experimental determination and theoretical calculation for CO2 liquid-solid phase equilibrium in PLNG
Published 2024-09-01“…The calculations demonstrated improved accuracy in CO2 solid solubility derived from the established model that was optimized using the genetic algorithm. …”
Get full text
Article -
5079
Physical Health Portrait and Intervention Strategy of College Students Based on Multivariate Cluster Analysis and Machine Learning
Published 2025-04-01“…This study employs an improved K-means algorithm integrated with machine learning models to analyze university students’ fitness data and develop personalized health intervention strategies. …”
Get full text
Article -
5080
Advances in Pinhole and Multi-Pinhole Collimators For Single Photon Emission Computed Tomography Imaging
Published 2015-01-01“…On the other hand, recent developments in collimator optimization have heightened the need for appropriate reconstruction algorithms for pinhole SPECT imaging. …”
Get full text
Article