Semantic Edge Collapse: A Mesh Edge Collapse Algorithm preserving per Face Semantic Information by G. Grzeczkowicz, G. Grzeczkowicz, B. Vallet

“…Using an edge-collapse algorithm, our method combines geometry from an existing mesh with labeled point cloud data to create a continuous mesh with edges aligned to segmentation boundaries, preserving both geometric fidelity and semantic clarity. …”
Get full text

Synthesis and Testing of an Algorithm for Autonomous Landing of a UAV under Turbulence, Wind Disturbance and Sensor Noise by Stefan Biliderov, Krasimir Kamenov, Radostina Calovska, Georgi Georgiev

“…The algorithm for controlling the landing during the execution of the set flight trajectory, which contains a Kalman estimator and an optimal LQR controller combined in a general LQG control algorithm, is studied.…”
Get full text

Closing Price Prediction of Cryptocurrencies BTC, LTC, and ETH Using a Hybrid ARIMA-LSTM Algorithm by Jherson S. Ruiz-Lopez, Miguel Jiménez-Carrión

“…For the remaining metrics and other cryptocurrencies, both methods were statistically equivalent. For five-day-ahead predictions, the hybrid algorithm continued to yield better results for LTC and ETH. …”
Get full text

Surveying the knowledge of pregnant women towards sport activities during pregnancy using data mining algorithms by Fatemeh Bagherı, Fatemeh Islamı, Fatemeh Mohammadı

“…In predicting the level of knowledge using decision tree in both prediction level (5 label and 3 label), C5.0 algorithm had the most accurate prediction. …”
Get full text

Intelligent Dimension Annotation in Engineering Drawings: A Case-Based Reasoning and MKD-ICP Algorithm Approach by Zhengqing Bai, Xifeng Fang, Bingyu Feng, Qinghua Liu

“…To address the demands for accuracy and completeness in engineering drawing dimension annotation, this paper presents an intelligent dimensioning method that integrates Case-Based Reasoning (CBR), K-Dimensional Tree (KD-Tree), and an enhanced Iterative Closest Point (ICP) algorithm. The proposed approach leverages a historical case database to extract key features from similar cases, providing high-quality initial references for the ICP algorithm. …”
Get full text

Automatic detection of teacher behavior in classroom videos using AlphaPose and Faster R-CNN algorithms by Jing Huang, Harwati Hashim, Helmi Norman, Mohammad Hafiz Zaini, Xiaojun Zhang

“…This study proposes an automated classification framework for evaluating teacher behavior in classroom settings by integrating AlphaPose and Faster region-based convolutional neural networks (R-CNN) algorithms. The method begins by applying AlphaPose to classroom video footage to extract detailed skeletal pose information of both teachers and students across individual frames. …”
Get full text

Simulation of Tennis Match Scene Classification Algorithm Based on Adaptive Gaussian Mixture Model Parameter Estimation by Yuwei Wang, Mofei Wen

“…Firstly, for the problem that both people and tennis balls in the video frames of tennis matches from the surveillance viewpoint are very small, we propose an adaptive Gaussian mixture model parameter estimation algorithm, which has good accuracy and speed on small targets. …”
Get full text

The impact of quantum circuit architecture and hyperparameters on variational quantum algorithms exemplified in the electronic structure of the GaAs crystal by Ivana Miháliková, Michal Krejčí, Martin Friák

“…We observed that while both algorithms offer promising results, the choice of ansatz and hyperparameter tuning were especially critical in achieving reliable outcomes, particularly for higher energy states. …”
Get full text

Predication of Water Pollution Peak Concentrations by Hybrid BP Artificial Neural Network Coupled with Genetic Algorithm by Yanbo Lu, Tong Li, Ying Deng

“…In this study, a back propagation artificial neural network (BPANN) coupled with genetic algorithm (GA) was constructed to predict peak concentrations. …”
Get full text

Algorithm for link prediction in self-regulating network with adaptive topology based on graph theory and machine learning by Evgeny Y. Pavlenko

“…The algorithm is based on significant parameters of network nodes, characterizing both their physical characteristics (signal level, battery charge) and their characteristics as objects of network interaction (characteristics of centrality of graph nodes). …”
Get full text

The Legal Issue of Deterrence of Algorithmic Control of Digital Platforms: The Experience of China, the European Union, Russia and India by Yu. Kharitonova, N. S. Malik, T. Yang

“…The authorities in a number of states are concerned about the need for public disclosure of the recommendation algorithms that are used in online services. The introduction of regulations aimed at software developers is frequently proposed as a potential solution to this problem of algorithm transparency. …”
Get full text

A Discrete-Time Algorithm for Stiffness Extraction from sEMG and Its Application in Antidisturbance Teleoperation by Peidong Liang, Chenguang Yang, Ning Wang, Ruifeng Li

“…In order to extract a smoothing stiffness enveloping from sEMG signals, two enveloping methods are employed in this paper, namely, fast linear enveloping based on low pass filtering and moving average and amplitude monocomponent and frequency modulating (AM-FM) method. Both methods have been incorporated into the proposed stiffness variance estimation algorithm and are extensively tested. …”
Get full text

Mathematical Modeling of New Algorithms for Single-Phase Earth Faults Protection in a Compensated Electrical Network by Syvokobylenko V. F., Lysenko V. A.

“…New algorithms have been developed for selective protection against phase-to-earth faults in power supply systems of 6–35 kV. …”
Get full text

Energy-efficient joint performance optimization of cloud data centre users/operator using memetic algorithm by Pejman Goudarzi, Farima Ayatollahi, Jaime Lloret

“…This paper focuses on the green optimization of both user experience and the benefits of cloud data centre operators, employing a metaheuristic algorithm, which essentially combines a genetic algorithm with an innovative approach. …”
Get full text

Next-Gen Decoding: Non-Binary LDPC Algorithms for Emerging Power Line and Visible Light Communications by Waheed Ullah, Fengfan Yang, Kwonhue Choi, Dushantha Nalin K. Jayakody

“…Furthermore, recent advancements and innovations in non-binary LDPC decoding algorithms are discussed, such as improved message passing strategies, layered decoding techniques, and adaptive algorithms. …”
Get full text

Underwater Acoustic Communication by a Single-Vector Sensor: Performance Comparison Using Three Different Algorithms by Long-xiang Guo, Xiao Han, Jing-wei Yin, Xue-song Yu

“…The three algorithms are P-DFE, B-DFE, and T-DFE, respectively. …”
Get full text

A Discretized Overlap Resolution Algorithm (DORA) for resolving spatial overlaps in individual-based models of microbes. by Ihab Hashem, Jian Wang, Jan F M Van Impe

“…Individual-based modeling (IbM) is an instrumental tool for simulating spatial microbial growth, with applications in both microbial ecology and biochemical engineering. …”
Get full text

Analysis of College Students’ Consumption Behavior Data Based on Fractional-Order Firefly Optimization Clustering Algorithm by Xiang Meng, Qi He, Yanhua Dong, Hongyu Sun

“…Therefore, data mining-based student consumption behavior analysis became a hot topic both in research and industry areas. For an increasing amount of data, traditional data mining algorithms are not suitable. …”
Get full text

Research on multi-objective optimization method for bullet full trajectory based on SA-PSO hybrid algorithm by HU Zhenchao, CUI Xiao, XU Xiao, LU Dabin, ZHANG Huisheng

“…In the process of bullet design, the parameters of the interior trajectory, exterior trajectory, and terminal trajectory are interdependent, necessitating a comprehensive consideration of the entire trajectory process. To address both overall performance and design efficiency, a multi-objective optimization method based on simulated annealing and particle swarm optimization is proposed. …”
Get full text

A study of scheduling strategies for microgrids based on the non-dominated sorting dung beetle optimization algorithm by Yutong Chen, Wu Ning, Wei Du

“…Moreover, when tackling multi—objective optimization problems, this approach effectively avoids falling into local optima and significantly enhances the algorithm’s global search capability. Experimental results reveal that, in comparison to other algorithms, the proposed NSDBO algorithm outperforms them in terms of hypervolume (HV) and generational distance (GD), indicating its advantages in both convergence and diversity. …”
Get full text