Web services composition algorithm based on the location of backup service and probabilistic QoS model by Hua WEN

“…For the service selection problem, an improved multiple objective optimization（MOO）algorithm was adopted to calculate the feasible solution set using clustering and QoS model. …”
Get full text

A new CNN deep learning model for computer-intelligent color matching by He Zhibin, Tan Yanmei, Li Sa

“…Besides, based on the optimized algorithm, an intelligent color-matching model was constructed. …”
Get full text

Web services composition algorithm based on the location of backup service and probabilistic QoS model by Hua WEN

“…For the service selection problem, an improved multiple objective optimization（MOO）algorithm was adopted to calculate the feasible solution set using clustering and QoS model. …”
Get full text

Development of Spectral Clustering Algorithm in Cognitive Diagnosis Model: Approach for Student’s Psychological Growth by Xiao Chang

“…The spectral clustering (SC) algorithm iterative optimization was combined with a similarity matrix and Laplacian matrix to construct an improved spectral clustering cognitive diagnosis model. …”
Get full text

Prediction of Urban Scale Expansion Based on Genetic Algorithm Optimized Neural Network Model by Hewu Kuang

“…The genetic algorithm is improved by immune cloning algorithm, and the CGA-BP neural network model is established to obtain the global optimal solution. …”
Get full text

An Order-Independent Algorithm for Learning Chain Graphs by Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi

Get full text

Algorithm for Solving Distributed Workshop Scheduling Model Based on Order Constraints and Assembly Constraints by Tingting Qu

“…For this model, an improved greedy algorithm was combined to solve it, and particle swarm optimization algorithm was introduced to enhance the local and global search capabilities of the distributed scheduling system, effectively addressing the computational complexity in large-scale production environments. …”
Get full text

Educational resources recommendation algorithm based on GMF-MLP-NeuMF prediction model by Rui Wang, Qiusheng Cui, Yezhi Xiao, Jinfeng Du, Ruicheng Yue

Get full text

Adaptive Variable Structure Interacting Multiple Model Tracking Algorithm for Hypersonic Glide Vehicle by Zhumu Fu, Dongfeng Wan, Zhikai Wang, Fazhan Tao

“…Therefore, this paper proposes an improved adaptive variable structure interacting multiple model tracking algorithm by analyzing the maneuvering characteristics of the target. …”
Get full text

DScanNet: Packaging Defect Detection Algorithm Based on Selective State Space Models by Yirong Luo, Yanping Du, Zhaohua Wang, Jingtian Mo, Wenxuan Yu, Shuihai Dou

“…For this reason, an improved target detection model, DScanNet, is proposed in this paper. …”
Get full text

Impact of Optimization Algorithm Choice on Nonlinear Global Model for Photovoltaic Energy Generation Forecasting by Valdemar M. Cavalcante Junior, Tiago A. Fernandes, Renato Andrade Freitas, Nayara A. de M. S. Amâncio, Fabricio Bradaschia, Marcelo Cabral Cavalcanti

“…Metaheuristic algorithms have stood out for their ability to handle the complexity of these nonlinear models. …”
Get full text

Video Refereeing Model of Soccer Match Based on Fuzzy Clustering and Cuckoo Optimization Algorithm by Ting Wang, Jinglong Geng, Jing Wang, Xiao Yan

“…The enhanced algorithm model, enhanced cuckoo-fuzzy C-mean algorithm model, cuckoo-fuzzy C-mean algorithm model, and fuzzy C-mean algorithm model had delineation effects of 0.80, 0.72, 0.70, and 0.61, in that order. …”
Get full text

Enhancement of rime algorithm using quadratic interpolation learning for parameters identification of photovoltaic models by Shazly A. Mohamed, Abdullah M. Shaheen, Mohammed H. Alqahtani, Badr M. Al Faiya

“…This paper proposes a novel Improved version of Rime Metaheuristic Optimization (RMO) influenced by rime growth and combined with Quadratic Interpolation Learning (QIL) technique for the simulation and design of the triple-Diode Model (DM). …”
Get full text

Improving dependability with low power fault detection model for skinny-hash. by Sonal Arvind Barge, Gerardine Immaculate Mary

Get full text

Improving medical machine learning models with generative balancing for equity and excellence by Brandon Theodorou, Benjamin Danek, Venkat Tummala, Shivam Pankaj Kumar, Bradley Malin, Jimeng Sun

“…This paper introduces FairPlay, a synthetic data generation approach leveraging large language models, to address these issues. FairPlay enhances algorithmic performance and reduces bias by creating realistic, anonymous synthetic patient data that improves representation and augments dataset patterns while preserving privacy. …”
Get full text

Soft voting ensemble model to improve Parkinson’s disease prediction with SMOTE by Jumanto Unjung, Rofik Rofik, Endang Sugiharti, Alamsyah Alamsyah, Riza Arifudin, Budi Prasetiyo, Much Aziz Muslim

“…These studies attempt to enhance the accuracy of classification models. However, a major issue in predictive analysis is the imbalance in data distribution and the low performance of classification algorithms. …”
Get full text

Improving time upscaling of instantaneous evapotranspiration based on machine learning models by Danni Yang, Shanshan Yang, Jiaojiao Huang, Shuyu Zhang, Sha Zhang, Jiahua Zhang, Yun Bai

Get full text

New Improved Fractional Order Differentiator Models Based on Optimized Digital Differentiators by Maneesha Gupta, Richa Yadav

“…Different evolutionary algorithms (EAs), namely, particle swarm optimization (PSO), genetic algorithm (GA), and PSO-GA hybrid optimization, have been used to optimize digital differential operators so that these can be better fitted to exemplify their new improved fractional order differentiator counterparts. …”
Get full text

Transformer Models improve the acoustic recognition of buzz-pollinating bee species by Alef Iury Siqueira Ferreira, Nádia Felix Felipe da Silva, Fernanda Neiva Mesquita, Thierson Couto Rosa, Stephen L. Buchmann, José Neiva Mesquita-Neto

“…These innovative attention-based neural network architectures have demonstrated exceptional performance in assigning bee buzzing sounds to their respective taxonomic categories, outperforming prior deep learning models. However, transformer approaches face challenges related to small dataset size and class imbalance, similar to CNNs and classical ML algorithms. …”
Get full text

Parameter identification of a nonlinear model using an improved version of simulated annealing by Xiaoxia Tian, Jingwen Yan, Yanchun Yang, Chi Xiao, Qi Zhou

“…This article aims to employ an improved simulated annealing algorithm to accurately and efficiently identify parameters of a nonlinear model which describes the nonlinear vortex-induced vertical force. …”
Get full text