过去一年中添加的文章，按日期排序
Novel base predictive model of resilient modulus of compacted subgrade soils by using interpretable approaches with graphical user interface
L Alkhattabi, K Arif - Materials Today Communications, 2024 - Elsevier
3 天前 - … This study employs machine learning (ML) algorithms such as individual and ensemble
… improves the efficiency of individual machine learning (ML) models. The combination of …
… improves the efficiency of individual machine learning (ML) models. The combination of …
[PDF][PDF] Stacking Ensemble LearninG Approach for Credit Rating of Bank Customers
Q Guo - scitepress.org
4 天前 - … aims to combine the ensemble learning method and big data … learning combining
multiple machine learning algorithms to … forest and gradient boosting as basic models. These …
multiple machine learning algorithms to … forest and gradient boosting as basic models. These …
Multi-Criteria Study and Machine Learning Optimization of a Novel Heat Integration for Combined Electricity, Heat, and Hydrogen Production
M Abdollahi Haghghi, M Feili, H Ghaebi… - Heat, and Hydrogen … - papers.ssrn.com
4 天前 - … , a machine learning optimization method within MATLAB is implemented to exhibit
the final optimal … genetic algorithm-II algorithm in triple-objective framework based on energy …
the final optimal … genetic algorithm-II algorithm in triple-objective framework based on energy …
Research on action recognition algorithm of aging square dance app based on image deep learning
Y Lu, S He, X Mu - Third International Conference on …, 2024 - spiedigitallibrary.org
7 天前 - … Combined with the research of somatosensory game development elements and
design … based on image depth learning. 2DCNN, Time Displacement Module (TSM), RNN …
design … based on image depth learning. 2DCNN, Time Displacement Module (TSM), RNN …
An Improved Ensemble Learning Model-Based Strategy for Fault Diagnosis of Lithium Battery Double Roller Press Equipment
Y XIAO, W Song, S Yin, F Wan, W Liu… - Measurement Science …, 2024 - iopscience.iop.org
9 天前 - … ensemble learning model-based fault diagnosis strategy … ) algorithm is employed
to handle missing data, combined … Information Coefficient (MIC) algorithm is utilized to select …
to handle missing data, combined … Information Coefficient (MIC) algorithm is utilized to select …
[PDF][PDF] Hate Speech Analysis And Moderation On Twitter Data using BERT And Ensemble Techniques
S Narang, S Karki, S Chauhan, K Garg, S Samant - 2024 - easychair.org
9 天前 - … optimize the hate speech detection process. Ensemble methods combine multiple
models … Researchers experimented with various machine learning algorithms, to classify text …
models … Researchers experimented with various machine learning algorithms, to classify text …
An energy-saving joint resource allocation strategy for mobile edge computing
L Wei - Physical Communication, 2024 - Elsevier
11 天前 - … authors design a hybrid path planning algorithm based on … the energy-efficient plan
which reduces the method's general … is converted into an optimizer method with a function of …
which reduces the method's general … is converted into an optimizer method with a function of …
[HTML][HTML] Machine learning-enabled forward prediction and inverse design of 4D-printed active plates
14 天前 - … approach that combines machine learning (ML) with both gradient-descent (GD) and
evolutionary algorithm (EA) to design … combining ML-EA with a normal distance-based loss …
evolutionary algorithm (EA) to design … combining ML-EA with a normal distance-based loss …
Applied machine learning for the analysis of CRISPR-Cas systems
Y Yu - 2024 - opus.bibliothek.uni-wuerzburg.de
16 天前 - … effects using a mixed-effect random forest (MERF) model to … To fill the gap, the
machine learning approach I present … for the effective development of prediction algorithms for …
machine learning approach I present … for the effective development of prediction algorithms for …
Human Behaviour Analysis Using CNN
A Budhewar, S Purbuj, D Rathod… - SHS Web of …, 2024 - shs-conferences.org
17 天前 - … a novel approach to emotion recognition by combining facial … This innovative
approach leverages the synergistic … robust capabilities of Machine Learning algorithms. Through …
approach leverages the synergistic … robust capabilities of Machine Learning algorithms. Through …