Proposing Lane and Obstacle Detection Algorithm Using YOLO to Control Self-Driving Cars on Advanced Networks by Phat Nguyen Huu, Quyen Pham Thi, Phuong Tong Thi Quynh

“…The paper mentions two main problems, namely, lane detection and obstacle detection (road signs, traffic lights, vehicles ahead, etc.) through image processing algorithms. …”
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Real-time Detection Algorithm of Expanded Feed Image on the Water Surface Based on Improved YOLOv11 by ZHOU Xiushan, WEN Luting, JIE Baifei, ZHENG Haifeng, WU Qiqi, LI Kene, LIANG Junneng, LI Yijian, WEN Jiayan, JIANG Linyuan

“…This replacement further enhanced the network's ability to extract relevant features and improve detection accuracy. To improve the model's detection of small targets, a P2 layer was introduced. …”
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Abstract 035: Workflow Improvements from Automated LVO Detection Algorithms Are Dependent on Care Team Engagement by Hussain M Azeem

“…Introduction Automated machine learning (ML)‐based large vessel occlusion (LVO) detection algorithms have been shown to improve in‐hospital workflow metrics including door to groin time (DTG). …”
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Optimal feature‐algorithm combination research for EEG fatigue driving detection based on functional brain network by Yi Zhou, ChangQing Zeng, ZhenDong Mu

“…In this article, the authors propose a functional brain network‐based driving fatigue detection method and seek to combine features and algorithms with optimal effect. …”
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Edge Detection in UAV Remote Sensing Images Using the Method Integrating Zernike Moments with Clustering Algorithms by Liang Huang, Xueqin Yu, Xiaoqing Zuo

“…Due to the unmanned aerial vehicle remote sensing images (UAVRSI) within rich texture details of ground objects and obvious phenomenon, the same objects with different spectra, it is difficult to effectively acquire the edge information using traditional edge detection operator. To solve this problem, an edge detection method of UAVRSI by combining Zernike moments with clustering algorithms is proposed in this study. …”
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Improved Aerial Surface Floating Object Detection and Classification Recognition Algorithm Based on YOLOv8n by Lili Song, Haixin Deng, Jianfeng Han, Xiongwei Gao

“…To address the aforementioned challenges, we proposed an improved YOLOv8-HSH algorithm based on YOLOv8n. The proposed algorithm introduces several key enhancements: (1) an enhanced HorBlock module to facilitate multi-gradient and multi-scale superposition, thereby intensifying critical floating object characteristics; (2) an optimized CBAM attention mechanism to mitigate background noise interference and substantially elevate detection accuracy; (3) the incorporation of a minor target recognition layer to augment the model’s capacity to discern floating objects of differing dimensions across various environments; and (4) the implementation of the WIoU loss function to enhance the model’s convergence rate and regression accuracy. …”
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Retraction Note: Detection of hate: speech tweets based convolutional neural network and machine learning algorithms by Hameda A. Sennary, Ghada Abozaid, Ashraf Hemeida, Alexey Mikhaylov

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Joint symbol detection and channel estimation for MIMO-OFDM systems via the variational Bayes EM algorithm by ZHANG Xiao-ying, WEI Ji-bo, WANG De-gang, XIONG Chun-lin

“…A new joint symbol detection and channel estimation algorithm was proposed for MIMO-OFDM systems over the time-varying fading channel based on the variational Bayes expectation maximization algorithm and Turbo principle.The channel estimation error covariance matrix was considered in the soft-input soft-output detector which circumvented the undesirable exhaustive search via list sphere decoder（LSD）.In addition,a novel Kalman forward-backward channel estimator was derived based on the posterior distributions of the transmitted symbols which were obtained from the space-time detection.Simulation results show that the proposed algorithm has more robust performance than the conven-tional EM algorithm and decision-directed technique in the time varying multipath channel.…”
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A Comparative Study of Machine Learning Algorithms for Intrusion Detection Systems using the NSL-KDD Dataset by Rulyansyah Permata Putra, Amarudin Amarudin

“…The primary objective of this study is to design and implement a machine learning model for detecting network intrusions efficiently while minimizing latency, through a comparative analysis of several algorithms: Decision Tree, Random Forest, Support Vector Machine (SVM), and Boosting. …”
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Correction: Spark-Based Label Diffusion and Label Selection Community Detection Algorithm for Metagenome Sequence Clustering by Zhengjiang Wu, Xuyang Wu, Junwei Luo

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A comparative analysis of imaging-based algorithms for detecting focal cortical dysplasia type II in children by Jan Šanda, Zuzana Holubová, David Kala, Kateřina Jiránková, Martin Kudr, Tomáš Masák, Anežka Bělohlávková, Pavel Kršek, Jakub Otáhal, Martin Kynčl

“…Automated detection algorithms have the potential to improve diagnostic precision, particularly in cases, where standard visual assessment fails. …”
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Exploring non-invasive biomarkers for pulmonary nodule detection based on salivary microbiomics and machine learning algorithms by Chunxia Huang, Qiong Ma, Xiao Zeng, Jiawei He, Fengming You, Xi Fu, Yifeng Ren

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Posture Detection of Dual-Hemisphere Capsule Robot Based on Magnetic Tracking Effects and ORB-AEKF Algorithm by Xu Liu, Yongshun Zhang, Qiancheng Wang

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Detection of vehicles and analysis of traffic volume by real-time video-graphic technique using python algorithm by Osman Kantunsung Ramadan, R. Srinivasa Kumar, A. Narender Reddy

“…Abstract Transport management is burdened by traffic congestion, including ineffective vehicle detection systems. The research proposes a real-time traffic count detection through video analysis, which combines computer vision methods. …”
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A Crowd Density Detection Algorithm for Tourist Attractions Based on Monitoring Video Dynamic Information Analysis by Lina Li

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Insulator defect detection under extreme weather based on synthetic weather algorithm and improved YOLOv7 by Yong Yang, Shuai Yang, Chuan Li, Yunxuan Wang, Xiaoqian Pi, Yuxin Lu, Ruohan Wu

“…Therefore, this research proposes a high‐precision intelligent strategy based on the synthetic weather algorithm and improved YOLOv7 for detecting insulator defects under extreme weather. …”
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A Plug Seedling Growth-Point Detection Method Based on Differential Evolution Extra-Green Algorithm by Hongmei Xia, Shicheng Zhu, Teng Yang, Runxin Huang, Jianhua Ou, Lingjin Dong, Dewen Tao, Wenbin Zhen

Subjects: “…differential evolution algorithm…”
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Research on mechanical automatic food packaging defect detection model based on improved YOLOv5 algorithm. by Guanyong Liu, Shuai Zhang, Lixin Wang, Xiaoran Li, Gongchen Li

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Advanced comparative analysis of machine learning algorithms for early Parkinson's disease detection using vocal biomarkers by Ajay Kumar, Jay Parkash Singh, Priyanka Paygude, Rachan Daimary, Sandeep Prasad

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Discrepancies between physician review and algorithmic detection of the zoll rescuenet post-cardiac arrest case review by Ayal Z. Pierce, Cody Couperus, Jordan Parker, Allison LaRocco, Michael Mazzeffi, Nicholas A. Morris

“…These findings support manual review of raw data and improved algorithmic detection of compressions to ensure feedback to resuscitation teams is reliable.…”
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