A Fast and Effective MIMO Algorithm Using CLR-RNN for Hybrid MDM and WDM Optical Communication System by Danni Zhang, Zhongwei Tan, Xinyuan Ma, Shun Lu, Wenhua Ren, Fengping Yan

“…The results show that the introduction of an adaptive machine learning model in MIMO detection for WDM-MDM optical transmission systems can significantly improve the quality of the transmitted signals and achieve better performance than other MIMO detection algorithms while maintaining a faster computational speed and a lower number of parameters.…”
Get full text

Evaluation of Global-Scale and Local-Scale Optimized Segmentation Algorithms in GEOBIA With SAM on Land Use and Land Cover by Tao He, Jianyu Chen, Linchong Kang, Qiankun Zhu

“…However, obtaining outstanding segmentation results in all scenarios proves challenging with a single algorithm. This study investigates seven segmentation algorithms: mean shift (MF), O Sistema de Processamento de informações georreferenciadas (the geographic information and image processing system) (SPRING), Estimation of scale parameter 2 (ESP2) (three global-scale algorithms), image object detection approach (IODA), SA, edge-guided image object detection approach (EIODA) (three local-scale optimization algorithms), and segment anything model (SAM) (deep learning). …”
Get full text

Tennis automatic ball-picking robot based on image object detection and positioning technology by Huang Yaqiao, Xiang Yu

Get full text

An Association Rule Mining Scheme Based on Bit Operation and Reverse Index by Yulei Huang, Xiaoxia Luo, Qing Lin

“…An improved Apriori algorithm for association rule mining called Apriori-BR was proposed,which was based on bit operation and reverse index.Specifically,the reverse index from frequent itemsets to transactions was constructed firstly by scanning twice of database,and the reverse index was grouped by the length of transactions.Then in the mining process,bit operation was adopted to accelerate subset detection together with the dynamical elimination of invalid low-dimensional transactions.The numerical results show that the Apriori-BR proposed can substantially improve mining efficiency when compared with the conventional Apriori algorithm and the improved ones in the literature.…”
Get full text

Actuator fault detection method of quadrotor UAV based on dual channel inertial sensors by Laihong Zhou, Hong Jin, Ping Chen, Jianqiang Xiong, Chengdi Li, Wenming Xiong

“…Compared with the H-/L∞ algorithm, the detection speed of this algorithm has increased by more than 80%. …”
Get full text

Social-based routing in pocket switched networks by AOJiu-xin C, HENGao-jun C, ANGJing Y, HUZi-qing Z, IUBo L

“…In pocket switched network,how to make effective balance between the message delivery ratio and transmis-sion delay is a problem to be solved.A community-based PSN routing algorithm,named BridgingCom,is proposed.It uses local community detection method with aging mechanism and introduces the bridging centrality as the basis of for-warding decisions.The algorithm combines the analysis of node centrality with the structure of social mobile network,makes full use of the community relationship and activeness of nodes in PSN.Simulation results show that BridgingCom routing algorithm has better performance in the message delivery ratio and message average delay compared to a number of previously proposed algorithms.…”
Get full text

Status epilepticus: Having treatment paradigms in place in Neurosurgical settings by Amit Arora, Manjari Tripathi

“…Given the frequency of SE events in neurosurgical wards, it is essential that the neurosurgical teams and intensive care unit staff are adequately sensitized to the prompt detection and management of SE. Uniform, easily understandable and logical algorithms are needed as part of care pathways to enable satisfactory management. …”
Get full text

Research and Application of SURF and Gray Difference in Detection of Small Modulus Plastic Gear Defect by Yang Ya, Tao Hongyan, Yu Chengbo

“…The FLANN（ Fast library for approximate nearest neighbors） algorithm is used to match the detected SURF（ Speeded up robust features） descriptors. …”
Get full text

Fast blind detection of short-wave frequency hopping signal based on MeanShift by Zhengyu ZHU, Yu LIN, Zixuan WANG, Kexian GONG, Pengfei CHEN, Zhongyong WANG, Jing LIANG

“…In the complex short-wave channel environment, combined with time-frequency analysis technology, a fast blind detection algorithm of the connected domain labeled frequency hopping signals based on MeanShift algorithm was proposed to reduce the influence of various interference signals and noises on frequency hopping signals and realize blind detection of frequency hopping signals under low signal-to-noise ratio.Firstly, the channel environment gray-scale time-frequency map was filtered by the secondary gray-scale morphology to obtain the binary time-frequency map.Secondly, the maximum duration of the signal was calculated by the connected domain labeling algorithm.Then, the MeanShift algorithm was used to cluster the maximum duration of the signal.Finally, the clustering result was made a second judgment by combining with the adaptive double threshold.The simulation results show that the proposed algorithm can quickly separate various interference signals and sharp noise under low signal-to-noise ratio, and realize fast blind detection of frequency hopping signals without any prior information.It has high detection probability, strong anti-interference ability in short-wave channel environment, low computational complexity and high engineering practical value.…”
Get full text

Research on a UAV-View Object-Detection Method Based on YOLOv7-Tiny by Yuyang Miao, Xihan Wang, Ning Zhang, Kai Wang, Lianhe Shao, Quanli Gao

“…To address the issues of missed and false detections caused by small object sizes, dense object distribution, and complex scenes in drone aerial images, this study proposes a drone-view object-detection algorithm based on YOLOv7-tiny with a Partial_C_Detect detection head. …”
Get full text

A Self-Adaptive Particle Swarm Optimization Based Multiple Source Localization Algorithm in Binary Sensor Networks by Long Cheng, Yan Wang, Shuai Li

Get full text

Real-time crop row detection using computer vision- application in agricultural robots by Md. Nazmuzzaman Khan, Adibuzzaman Rahi, Veera P. Rajendran, Mohammad Al Hasan, Sohel Anwar

“…The processing of the detection algorithm also must be significantly low for real-time applications. …”
Get full text

Improved OAM-Based Radar Targets Detection Using Uniform Concentric Circular Arrays by Mingtuan Lin, Yue Gao, Peiguo Liu, Jibin Liu

“…The performance of the MUSIC algorithm to detect targets not illuminated by the main lobes is further evaluated. …”
Get full text

DETECTION OF FAULT LOCATION ON THE POWER LINES 6–35 kV WITH UNILATERAL FEED by F. A. Romaniuk, M. A. Shevaldin

“…The paper describes new algorithm of detecting the fault location for the power lines 6–35 kV with unilateral feed. …”
Get full text

Causal Diagnosability Optimization Design for UAVs Based on Maximum Mean Covariance Difference and the Gray Wolf Optimization Algorithm by Xuping Gu, Xianjun Shi

“…To enhance diagnosability and reliability in this context, this study proposes a causal diagnosability optimization strategy based on the Maximum Mean and Covariance Discrepancy (MMCD) metric and the Grey Wolf Optimization (GWO) algorithm. First, a qualitative assessment method for causal diagnosability is introduced, leveraging structural analysis to evaluate the detectability and isolability of faults. …”
Get full text

Research on underwater disease target detection method of inland waterway based on deep learning by Tao Yu, Yu Xie, Jinsong Luo, Wei Zhu, Jie Liu

“…Abstract Aiming at the problems of low detection accuracy and poor generalization ability of underwater disease targets in inland waterways, an underwater disease target detection algorithm for inland waterways based on improved YOLOv5 is designed, which is denoted as YOLOv5-GBCE. …”
Get full text

Fault Detection and Protection Strategy for Multi-Terminal HVDC Grids Using Wavelet Analysis by Jashandeep Kaur, Manilka Jayasooriya, Muhammad Naveed Iqbal, Kamran Daniel, Noman Shabbir, Kristjan Peterson

“…Results demonstrate the algorithm’s effectiveness in detecting faults rapidly and accurately. …”
Get full text

Hybrid Optimization Method for Social Internet of Things Service Provision Based on Community Detection by Bahar Allakaram Tawfeeq, Amir Masoud Rahmani, Abbas Koochari, Nima Jafari Navimipour

“…This article proposes a new hybrid optimization algorithm called the improved genetic backtracking search algorithm based on community detection (IGBSA‐CD) to overview these limitations. …”
Get full text

Detection of anthropogenic objects of aero-images based on geometric parameters of the edge of homogeneous areas by A. G. Shauchuk, V. Yu. Tsviatkou

Get full text

Hybrid System for Fault Tolerance in Selective Compliance Assembly Robot Arm: Integration of Differential Gears and Coordination Algorithms by Claudio Urrea, Pablo Sari, John Kern

“…The system employs redundant actuators, differential gears, torque limiters, and rapid detection and reconfiguration algorithms. Simulations in MATLAB R2024a demonstrated reconfiguration times of 0.5 s and reduced trajectory errors (0.0042 m on the X-axis for Robot 1), achieving efficiency above 99%. …”
Get full text