Characteristics of <i>Vibrio cholerae</i> O1 CTX⁺ Strain Isolated from the Temernik River in Rostov-on-Don in 2023 by E. V. Monakhova, V. D. Kruglikov, A. S. Vodop’yanov, Ya. M. Krasnov, S. D. Katyshev, N. A. Sharapova, L. P. Alekseeva, E. A. Men’shikova, V. V. Evdokimova, M. I. Ezhova, A. K. Noskov

Get full text

Application of Structure Tensor-Based Image Fusion Method in Marine Exploration by Xiaoyi MA, Yihong CHEN, Fei WANG, Shuo XIE

Get full text

Detection of abnormal tourist behavior in scenic spots based on optimized Gaussian model for background modeling by Liu Xiaohua

“…In two outdoor research scenarios b and c, the area under the curve and equal error rate of the research algorithm (RA) are 88.14, 18.24, 98.12, and 7.55%, respectively, which are significantly better than the two compared algorithms. …”
Get full text

Control chart for geometrically distributed data based on Bayesian fast double bootstrap by Muhammad Yahya Matdoan, Muhammad Mashuri, Muhammad Ahsan

“…However, these estimators may struggle to detect significant process shifts, particularly in the presence of large deviations. This research introduces a novel Bayesian fast double bootstrap approach for parameter estimation in g-charts. …”
Get full text

Experimental Study of Trajectory Features for the Recognition of Low-Flying Low-Speed Radar Targets Using Passive Coherent Radar Systems by V. L. Dao, A. A. Konovalov, M. H. Le

Get full text

Efficient control strategy for electric furnace temperature regulation using quadratic interpolation optimization by Serdar Ekinci, Davut Izci, Veysel Gider, Laith Abualigah, Mohit Bajaj, Ievgen Zaitsev

Get full text

Deep Unified Model For Face Recognition Based on Convolution Neural Network and Edge Computing by Muhammad Zeeshan Khan, Saad Harous, Saleet Ul Hassan, Muhammad Usman Ghani Khan, Razi Iqbal, Shahid Mumtaz

“…Usually, for face recognition, scale-invariant feature transforms (SIFT) and speeded up robust features (SURF) have been used by the research community. This paper proposes an algorithm for face detection and recognition based on convolution neural networks (CNN), which outperform the traditional techniques. …”
Get full text

Prediction of Chemical Corrosion Rate and Remaining Life of Buried Oil and Gas Pipelines in Changqing Gas Field by Xianbing Li, Rui Liu, Dong Ma, Yang Bai, Yukai Shi, Badm Anhouck

“…Comparative analysis with other swarm intelligence algorithms shows that the improved particle swarm algorithm has stronger convergence ability and higher prediction accuracy than the BP model and SVM model. …”
Get full text

A Study on the Impact of Obstacle Size on Training Models Based on DQN and DDQN by Lu Siyu, Tao Ye, Zeng Junwei, Zuo Qihuan

“…This paper presents a comparative analysis of Deep Q-Network (DQN) and Double Deep Q-Network (DDQN) algorithms in a simulated car racing environment, focusing on how variations in obstacle density affect each algorithm’s learning and trajectory planning, with the goal of enhancing adaptability and safety in autonomous driving systems. …”
Get full text

K-Means Based Bee Colony Optimization for Clustering in Heterogeneous Sensor Network by Prince Modey, Gaddafi Abdul-Salaam, Emmanuel Freeman, Patrick Acheampong, William Leslie Brown-Acquaye, Israel Edem Agbehadji, Richard C. Millham

Get full text

Assessment of the effectiveness of PAH-specific therapy, including selexipag, in patients with idiopathic pulmonary hypertension according to a comprehensive examination using Rama... by E. S. Allakhverdiev, E. A. Rezukhina, O. V. Slatinskaya, O. V. Rodnenkov, Zh. V. Bochkova, N. A. Brazhe, G. V. Maksimov, T.  V. Martynyuk

Get full text

Assessment of the sustainability of organization development in the process of strategic controlling by A. R. Khachemizov, V. I. Zarubin, A. K. Dorgushaova

“…To achieve the goal of the research the following methods were used: theoretical generalization, analysis and synthesis, system approach, comparative and structural analysis. …”
Get full text

A new approach for improving dynamic fault ride through capability of gridctied based wind turbines by Shoaib Ahmed Dayo, Ahsanullah Memon, Zeeshan Anjum Memon, Touqeer Ahmed Jumani, Ghulam Abbas, Salwa Othmen, Amr Yousef, Andika Aji Wijaya

“…Despite its advantages, researchers continually face challenges in managing the DFIG, including overshooting, rising time, and stability under fault conditions. …”
Get full text

“Voice of Student” in the Analysis of Components of Digital Educational Environment during Online Learning by Olga I. Popova, Galina S. Timokhina, Natalya B. Izakova, Larisa M. Kapustina

“…Based on the authors’ Voice of Student research algorithm, the aim of the study was to analyze students’ evaluations of the consumer’s experience of interaction with components of the digital learning environment during online learning. …”
Get full text

Review of Agricultural Machinery Seat Semi-Active Suspension Systems for Ride Comfort by Xiaoliang Chen, Zhelu Wang, Haoyou Shi, Nannan Jiang, Sixia Zhao, Yiqing Qiu, Qing Liu

“…Furthermore, key technical challenges in current research are summarized, including dynamic characteristic optimization design, adaptability to complex operating environments, and the robustness of control algorithms. …”
Get full text

GRSNet: An Ultra-Lightweight Neural Network for 3D Point Cloud Classification and Segmentation by Zourong Long, Gen Tan, You Wu, Hong Yang, Chao Ding

“…Leveraging GRS, this study combines the concepts from GhostNet and self-attention mechanisms to develop a feature extraction module dubbed the SA_Ghost Block, forming the core of GRSNet. Comparative experiments with leading algorithms on established point cloud open-source datasets demonstrate that GRSNet achieves superior performance, maintaining only 0.7 M parameters.…”
Get full text

Exploring a long short-term memory for mountain flood forecasting based on watershed-internal knowledge graph and large language model. by Songsong Wang, Ouguan Xu

“…Additionally, we have implemented Recurrent Neural Networks (RNN) and Gated Recurrent Units (GRU) for comparative analysis with LSTM. The findings indicate that the LSTM model, when integrated with the watershed-internal KG and LLM, can effectively incorporate critical elements influencing water level changes, the accuracy of the LLM-KG-LSTM model is enhanced by 3% compared to the standard LSTM model, and the LSTM series outperforms both RNN and GRU models, Our method will guide future research from the perspective of focusing on forecasting algorithms to the perspective of focusing on the relationship between multi-dimensional disaster data and algorithm parallelism.…”
Get full text

Development of a standardized data collection and intelligent fabric quality prediction system for the weaving department by Ning Dai, Lunjun Li, Kaixin Xu, Zhehao Lu, Xudong Hu, Yanhong Yuan

“…The research results demonstrate that using OPC UA technology enables the unified transmission of weaving equipment data, addressing the issue of heterogeneity in weaving department equipment. …”
Get full text

Effectiveness of the Spatial Domain Techniques in Digital Image Steganography by Rosshini Selvamani, Yusliza Yusoff

“…As a result, this study helps to analyze the fundamentals of image steganography, a comparative review on the spatial domain algorithms. …”
Get full text

LIGHTWEIGHT OF THE VEHICLE B PILLAR BASED ON SIX SIGMA ROBUST DESIGN UNDER SIDE IMPACT by QIU RuiBin, CHEN Yuan, LEI Fei, YANG ShaoYong, LI YongJun

“…In this paper,by considering uncertainty factors,taking side impact of a car as an example,first of all,an accurate finite element model is established and verified according to relevant crash regulations,then,after building an approximate model and a deterministic optimization model,the optimal solution is obtained by sequential quadratic programming algorithm and the reliability analysis is used,finally the original vehicle B pillar is accomplished lightweight research and improvement by using six sigma robust design method. …”
Get full text