Application of Improved Sage-Husa Algorithm in SINS/GPS Integrated Navigation by WEN Sheng, LIU Caiyun, LUAN Tiantian, SUN Mingxiao

“…Then, by the introduction of the fading factor in the strong tracking filtering, the prediction mean-square error matrix is corrected online, so that the improved algorithm has the ability to cope with the uncertainties such as systematic error interference. …”
Get full text

Forecasting household monthly electricity consumption using the similar pattern algorithm by Bistoon Hosseini

“…Out of the 72,000 predictions made using the proposed algorithm, the mean absolute percentage error is 16.9%. …”
Get full text

DETERMINING THE SIZE OF THE POPULATION OF THE GENETIC ALGORITHM FOR THE PROBLEMS OF DISCRETE OPTIMIZATION IN CAD by V. V. Frolov

“…The model was obtained for the power range of the reference sets from 12 to 52, and allows to predict the size of the population beyond the limits of this range. …”
Get full text

Research on Clothing Image Database Retrieval Algorithm Based on Wavelet Transform by Xiaoyue Cui

“…Aiming at the problems of low image data retrieval accuracy and slow retrieval speed in the existing image database retrieval algorithms, this paper designs a clothing image database retrieval algorithm based on wavelet transform. …”
Get full text

RELIABILITY ANALYSIS OF RIGHT CENSORED WEIBULL DISTRIBUTION BASED ON GENETIC ALGORITHM by ZHANG Qing, ZHENG Yan, WANG Xuan, MA Min, WANG WenBo

“…Moreover,in light of genetic algorithm,this paper manages to work out the shape parameter β = 2. 2614,the size parameter δ = 5317. 186 and the location parameter θ =13253. 36. …”
Get full text

Image Similarity Quantum Algorithm and Its Application in Image Retrieval Systems by Qingchuan Yang, Xianing Feng, Lianfu Wei

“…It is found that the AE-QIP algorithm achieves comparable precision to the ST-QIP algorithm while exhibiting significant reductions in qubit consumption and average processing time. …”
Get full text

Student knowledge tracking based multi-indicator exercise recommendation algorithm by Bin ZHUGE, Zhenghu YIN, Wenxue SI, Lei YAN, Ligang DONG, Xian JIANG

“…Personalized exercise recommendation was an important topic in the era of education informatization, the forgetting laws of students in the learning process were ignored by the traditional problem recommendation algorithm, which failed to fully tap the students’ knowledge mastery level and the common characteristics of similar students, insufficient, could not reasonably promote students’ learning of new knowledge or help students find and fill omissions.In view of the above defects, a multi-index exercise recommendation method based on student knowledge tracking was proposed, which was divided into two modules: preliminary screening and re-filtering of exercises, focusing on the novelty, difficulty and diversity of exercise recommendation.Firstly, a knowledge probability prediction (SF-KCCP) model combined with students’ forgetting law was constructed to ensure the novelty of the recommended exercises.Then, students’ knowledge and concept mastery level was accurately excavated based on the dynamic key-value knowledge tracking (DKVMN) model to ensure that exercises of appropriate difficulty were recommended.Finally, the user-based collaborative filtering (UserCF) algorithm was integrated into the re-filtering module, and the similarity between student groups was used to achieve the diversity of recommendation results.The proposed method is demonstrated by extensive experiments to achieve better performance than some existing baseline models.…”
Get full text

Student knowledge tracking based multi-indicator exercise recommendation algorithm by Bin ZHUGE, Zhenghu YIN, Wenxue SI, Lei YAN, Ligang DONG, Xian JIANG

“…Personalized exercise recommendation was an important topic in the era of education informatization, the forgetting laws of students in the learning process were ignored by the traditional problem recommendation algorithm, which failed to fully tap the students’ knowledge mastery level and the common characteristics of similar students, insufficient, could not reasonably promote students’ learning of new knowledge or help students find and fill omissions.In view of the above defects, a multi-index exercise recommendation method based on student knowledge tracking was proposed, which was divided into two modules: preliminary screening and re-filtering of exercises, focusing on the novelty, difficulty and diversity of exercise recommendation.Firstly, a knowledge probability prediction (SF-KCCP) model combined with students’ forgetting law was constructed to ensure the novelty of the recommended exercises.Then, students’ knowledge and concept mastery level was accurately excavated based on the dynamic key-value knowledge tracking (DKVMN) model to ensure that exercises of appropriate difficulty were recommended.Finally, the user-based collaborative filtering (UserCF) algorithm was integrated into the re-filtering module, and the similarity between student groups was used to achieve the diversity of recommendation results.The proposed method is demonstrated by extensive experiments to achieve better performance than some existing baseline models.…”
Get full text

Research on autonomous navigation of mobile robots based on IA-DWA algorithm by Quanling He, Zongyan Wang, Kun Li, Yuting Zhang, Menglong Li

“…First, the data from the odometer and the inertial measurement unit (IMU) are fused using the extended Kalman filter (EKF) to reduce the error caused by wheel slippage on the mobile robot’s positioning and improve the mobile robot’s positioning accuracy. Second, the prediction function, weight coefficients, search neighborhood, and path smoothing processing of the A* algorithm are optimally designed to incorporate the critical point information in the global path into the DWA calculation framework. …”
Get full text

Forecasting Renewable energy and electricity consumption using evolutionary hyperheuristic algorithm by Yang Cao, Jun Yu, Rui Zhong, Masaharu Munetomo

“…The configuration of optimal parameters for these models typically requires optimization algorithms, but conventional algorithms may struggle with fixed search patterns and limited robustness. …”
Get full text

Maize Hybrids Performance Evaluation with Data Fusion by Matrix Factorization Algorithm by Milica Brkić, Stefan Hačko, Miloš Radovanović, Vladimir Crnojević, Sanja Brdar

“…To address this, we introduce a novel application of the Data Fusion by Matrix Factorization (DFMF) algorithm for predicting crop yields using maize data from the 2019 Syngenta Crop Challenge. …”
Get full text

A Novel Community Detection Algorithm Based on Node Propagation and Attraction by Lidong Fu, Xinxing Xie, Zengfa Dou, Yun Bai, Xi Zhao

“…Experimental results demonstrate that, on both synthetic and real networks, the proposed algorithm outperforms various existing community detection algorithms.…”
Get full text

An improved traffic lights recognition algorithm for autonomous driving in complex scenarios by Ziyue Li, Qinghua Zeng, Yuchao Liu, Jianye Liu, Lin Li

“…We evaluated our algorithm using a public data set and actual city road test at night. …”
Get full text

Variational quantum algorithm for enhanced continuous variable optical phase sensing by Jens A. H. Nielsen, Mateusz J. Kicinski, Tummas N. Arge, Kannan Vijayadharan, Jonathan Foldager, Johannes Borregaard, Johannes Jakob Meyer, Jonas S. Neergaard-Nielsen, Tobias Gehring, Ulrik L. Andersen

“…However, they find minima not predicted by our theoretical model, demonstrating the strength of variational algorithms in modelling complex noise environments, a non-trivial task.…”
Get full text

Identification of hypertension gene expression biomarkers based on the DeepGCFS algorithm. by Zongjin Li, Liqin Tian, Libing Bai, Zeyu Jia, Xiaoming Wu, Changxin Song

“…This algorithm utilizes a graph network to represent the interaction information between genes, builds a GNN model, designs a loss function based on link prediction and self-supervised learning ideas for training, and allows each gene node to obtain a feature vector representing global information. …”
Get full text

Algorithmic support of the adaptive system of controlled flight into terrain avoidance (CFITA) by A. N. Akimov, V. A. Voloshin, A. A. Supryga

“…The first group (the full SFITA mode) uses the maximum digital cartographic information (DCI) about the terrain. In the SFITA algorithms, the terrain is approximated in the form of planes in space in some predictable, pre-emptive area in the flight path direction. …”
Get full text

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

“…The detection frame rate reaches 189 frames per second on the ROUD dataset, thus meeting the high accuracy requirements for underwater object detection algorithms and facilitating lightweight and fast edge deployment.…”
Get full text

Early Warning of Financial Risk Based on K-Means Clustering Algorithm by Zhangyao Zhu, Na Liu

“…The study results show that the K-means clustering method can effectively avoid the subjective negative impact caused by artificial division thresholds, continuously optimize the prediction process of financial risk and redistribute target dataset to each cluster center for obtaining optimized solution, so the algorithm can more accurately and objectively distinguish the state interval of different financial risks, determine risk occurrence possibility and its severity, and provide a scientific basis for risk prevention and management. …”
Get full text

Artificial Intelligence Algorithm to Screen for Diabetic Neuropathy: A Pilot Study by Giovanni Sartore, Eugenio Ragazzi, Francesco Pegoraro, Mario German Pagno, Annunziata Lapolla, Francesco Piarulli

“…The individual risk of developing DPN was calculated using the AI-based MetaClinic Prediction Algorithm and compared with the DPN diagnosis provided by the digital biothesiometer method, which measures the vibratory perception threshold (VPT) on both feet. …”
Get full text

Integrating Artificial Intelligence into Law Enforcement: Socioeconomic and Ethical Challenges by Patricia Haley, Darrell Norman Burrell

Subjects: Get full text