Development of Differentiated E-Learning to Improve Students' Motivation and Learning Independence at SMAN 1 Panggang, Gunungkidul Regency by Ari Mardian, Herman Dwi Surjono

“… This study aims to: (1) develop differentiated e-learning media tailored for SMAN 1 Panggang, Gunungkidul; (2) evaluate the feasibility of the media based on expert validation; (3) assess its practicality for students and teachers; and (4) determine its effectiveness in improving student motivation and learning independence. …”
Get full text

Enhanced air quality prediction using adaptive residual Bi-LSTM with pyramid dilation and optimal weighted feature selection by R. Sudha, Ajith Damodaran, Gunaselvi Manohar

“…At first, the data for predicting air quality are collected from the relevant data sources. The proposed model introduces a novel methodology for weighted feature selection utilizing an Improved Gannet Optimization Algorithm (IGOA) aimed at enhancing the performance of data classification. …”
Get full text

Intelligent Recommendation Algorithm of Multimedia English Distance Education Resources Based on User Model by Xiushan Zhang

“…Based on the understanding and comparison of various main recommendation algorithms, this paper focuses on the collaborative filtering algorithm and proposes a collaborative filtering recommendation algorithm with improved user model. …”
Get full text

Fractal Algorithm for Multiple-lens Analyses by F. Abe

“…This paper discusses problems in the modeling of a multiple-lens system and then presents the new algorithm in detail.…”
Get full text

Classification of Tropical Cyclone Tracks in the Northwest Pacific Based on the SD-K-Means Model by Nan Xu, Baisong Yang, Jia Ren

“…This study proposes an improved SD-K-Means clustering algorithm for classifying TC tracks. …”
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

Using big data analytics to improve HIV medical care utilisation in South Carolina: A study protocol by Mohammad Rifat Haider, Bankole Olatosi, Jiajia Zhang, Sharon Weissman, Jianjun Hu, Xiaoming Li

Get full text

Using multiple machine learning algorithms to optimize the water quality index model and their applicability by Fei Ding, Shilong Hao, Wenjie Zhang, Mingcen Jiang, Liangyao Chen, Haobin Yuan, Nan Wang, Wenpan Li, Xin Xie

“…To improve the accuracy of the water quality index (WQI) model, multiple machine learning algorithms (CatBoost, SVM, LR, XGBoost, LightGBM) and entropy weight method (EWM) were introduced to determine the objective weight. …”
Get full text

Analysing learning behaviour: A data-driven approach to improve time management and active listening skills in students by Vinayak Hegde, Vishrutha M, Pallavi M. Shanthappa, Rekha Bhat, Nisha Raveendran, Roshin C

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

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

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

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

“…The article explores the relevance of choosing the optimization algorithm to obtain accurate parameter estimates in photovoltaic (PV) systems, with the aim of improving the energy efficiency of solar energy. …”
Get full text

Application of Optimization Algorithms in Voter Service Module Allocation by Edgar Jardón, Marcelo Romero, José-Raymundo Marcial-Romero

“…The main contribution of this study is the development and evaluation of a hybrid heuristic framework for allocating INE modules, demonstrating that combining multiple heuristics—with a genetic algorithm as the initial phase—significantly improves solution quality and computational efficiency.…”
Get full text

High maneuvering target tracking ATPM-IMM algorithm by Hao ZENG, Wangqiang MU, Shunping YANG

“…For high maneuvering target tracking, the accuracy of tracking will degrade in common IMM algorithm due to the fixed transition probability matrix.Therefore, a new ATPM-IMM algorithm for high maneuvering target tracking was proposed, which could update the transition probability matrix adaptively.The proposed algorithm requires less prior information of model posterior probability and transition probability matrix, it is suitable for both high and weak maneuvering target tracking.Simulation results demonstrate that the filtering accuracy of the proposed algorithm is improved about 11% compared with the existing algorithms.…”
Get full text

High maneuvering target tracking ATPM-IMM algorithm by Hao ZENG, Wangqiang MU, Shunping YANG

“…For high maneuvering target tracking, the accuracy of tracking will degrade in common IMM algorithm due to the fixed transition probability matrix.Therefore, a new ATPM-IMM algorithm for high maneuvering target tracking was proposed, which could update the transition probability matrix adaptively.The proposed algorithm requires less prior information of model posterior probability and transition probability matrix, it is suitable for both high and weak maneuvering target tracking.Simulation results demonstrate that the filtering accuracy of the proposed algorithm is improved about 11% compared with the existing algorithms.…”
Get full text

Attention-Based Lightweight YOLOv8 Underwater Target Recognition Algorithm by Shun Cheng, Zhiqian Wang, Shaojin Liu, Yan Han, Pengtao Sun, Jianrong Li

“…Finally, MPDIoU (Minimum Point Distance-based IoU) is used to replace the CIoU (Complete-IOU) loss function to accelerate the convergence speed of the bounding box and improve the bounding box regression accuracy. The experimental results show that compared with the YOLOv8n baseline model, the SPSM-YOLOv8 (SPDConv-PSA-SCDown-MPDIoU-YOLOv8) detection accuracy reaches 87.3% on the ROUD dataset and 76.4% on the UPRC2020 dataset, and the number of parameters and amount of computation decrease by 4.3% and 4.9%, respectively. …”
Get full text

Optimization of Torque Models for Radial Meshing Nutation Magnetic Gears Based on the Genetic Algorithm by Lou Meiyan, Yao Ligang, Guo Chenxian

“…Based on the magnetic vector potential theory of the constant magnetic field, the magnetic induction intensity model of the radial meshing nutation magnetic gears is established, and the mathematical model of the torque of the radial meshing magnetic gear is deduced. …”
Get full text