The Use of Weighted Euclidean Distance to Provide Assistance in the Selection of Safety Risk Prevention and Control Strategies for Major Railway Projects

F Guo, X Lv, J Gu, Y Wu - Buildings, 2024 - mdpi.com
A major railway project is a complex, giant system with multi-party participation, one
characterized by complex geological conditions, long construction periods and large scale …

基于网络建模与空间引力模型的城镇空间关联分析.

栾乔林, 张永蕾, 吴继万, 熊昌盛… - Shanghai Land & …, 2022 - search.ebscohost.com
准确把握城镇之间的空间关联格局, 可为统筹协调城镇体系发展提供更有力的空间依据.
以浙江省义乌市为例, 运用多因素综合评价法测算各城镇规模综合指数, 针对空间引力模型中 …

A novel center-based deep contrastive metric learning method for the detection of polymicrogyria in pediatric brain MRI

L Zhang, N Abdeen, J Lang - Computerized Medical Imaging and Graphics, 2024 - Elsevier
Polymicrogyria (PMG) is a disorder of cortical organization mainly seen in children, which
can be associated with seizures, developmental delay and motor weakness. PMG is …

SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting

Y Jiang, X Li, Y Chen, S Liu, W Kong… - arXiv preprint arXiv …, 2024 - arxiv.org
Time series forecasting is essential for our daily activities and precise modeling of the
complex correlations and shared patterns among multiple time series is essential for …

Incremental interval type-2 fuzzy clustering of data streams using single pass method

S Qaiyum, I Aziz, MH Hasan, AI Khan, A Almalawi - Sensors, 2020 - mdpi.com
Data Streams create new challenges for fuzzy clustering algorithms, specifically Interval
Type-2 Fuzzy C-Means (IT2FCM). One problem associated with IT2FCM is that it tends to be …

Classification noise detection based SMO algorithm

Y Luo, Z Xiong, S Xia, H Tan, J Gou - Optik, 2016 - Elsevier
Abstract SMO (Sequential Minimal Optimization) is an outstanding SVM algorithm in
efficiency and memory requirements. But it need cross validation to optimize parameters in …

A hybrid heuristic algorithm for evolving models in simultaneous scenarios of classification and clustering

M Cerrada, J Aguilar, J Altamiranda… - … and Information Systems, 2019 - Springer
Abstract Machine Learning is currently an important research field that attracts interest due
to its importance for discovering hidden knowledge or patterns from big datasets. In this …

A method to analyze time expression profiles demonstrated in a database of chili pepper fruit development

C Escoto-Sandoval, A Flores-Díaz… - Scientific Reports, 2021 - nature.com
RNA-Seq experiments allow genome-wide estimation of relative gene expression.
Estimation of gene expression at different time points generates time expression profiles of …

Extreme Gradient Boosting for Recommendation System by Transforming Product Classification into Regression Based on Multi-Dimensional Word2Vec

SJ Park, CU Kang, YC Byun - Symmetry, 2021 - mdpi.com
Now that untact services are widespread and worldwide, the number of users visiting online
shopping malls has increased. For example, the recommendation systems in Netflix …

KCO: Balancing class distribution in just-in-time software defect prediction using kernel crossover oversampling

AM Ismail, SH Ab Hamid, A Abdul Sani… - Plos one, 2024 - journals.plos.org
The performance of the defect prediction model by using balanced and imbalanced datasets
makes a big impact on the discovery of future defects. Current resampling techniques only …