Minimum Critical Test Scenario Set Selection for Autonomous Vehicles Prior to First Deployment and Public Road Testing by Balint Toth, Zsolt Szalay

“…By addressing the need for a structured and efficient scenario selection method, this work supports the advancement of systematic safety assurance for autonomous vehicles and provides a scalable solution for authorities and vehicle testing companies.…”
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A Real Time Cardiomyopathy Detection Tool Using Ml Ensemble Models by Salvador de Haro, Esteban Becerra, Pilar González-Férez, José M. García, Gregorio Bernabé

“…Additionally, the platform-independent design ensures compatibility with Windows and Linux, eliminating complex setup requirements. The LVNC detector delivers an efficient and user-friendly solution for LVNC diagnosis. …”
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Real-time classroom student behavior detection based on improved YOLOv8s by Xiaojing Sheng, Suqiang Li, Sixian Chan

“…However, the field still faces specific challenges, primarily concerning the accuracy of identifying student behaviors within complex and variable classroom environments, as well as the real-time capabilities of detection algorithms. …”
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A recurrent YOLOv8-based framework for event-based object detection by Diego A. Silva, Kamilya Smagulova, Ahmed Elsheikh, Mohammed E. Fouda, Ahmed M. Eltawil

“…The results demonstrate the significant potential of bio-inspired event-based vision sensors when combined with advanced object detection frameworks. In particular, the ReYOLOv8 system effectively bridges the gap between biological principles of vision and artificial intelligence, enabling robust and efficient visual processing in dynamic and complex environments. …”
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A policy conflict detection mechanism for multi-controller software-defined networks by You Lu, Qiming Fu, Xuefeng Xi, Zhenping Chen, Encen Zou, Baochuan Fu

“…The experimental results under the campus network environment prove that our method can effectively detect the conflict of flow policies existing in the multi-controller software-defined network and has advantages over the existing methods in the integrity, accuracy, and efficiency of the detection.…”
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Advances in research on novel technologies for the detection of exogenous contaminants in traditional Chinese medicine by Ziyu Guo, Junyao Li, Lina Zeng, Ping Wang, Meifang Li, Chang Su, Shuhong Wang

“…Exogenous contaminants in traditional Chinese medicine (TCM), including pesticide residues, heavy metals, mycotoxins, and sulfur dioxide residues, pose significant risks to human health and environmental safety. Conventional detection methods are limited by insufficient sensitivity, complex sample preparation, and challenges in multi-residue analysis, compromising accuracy and efficiency. …”
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PROBLEMS OF FORMATION OF FINANCIAL-INVESTMENT PROJECTION OF A BALANCED SCORECARD IN VALUE-BASED ENTERPRISES OF MINING-METALLURGICAL COMPLEX by S. Faizova, M. Ivanova, S. Sannikova, O. Varyanichenko

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Rapid detection and quantification of Nile Red-stained microplastic particles in sediment samples by Masashi Tsuchiya, Tomo Kitahashi, Yosuke Taira, Hitoshi Saito, Kazumasa Oguri, Ryota Nakajima, Dhugal J. Lindsay, Katsunori Fujikura

“…This is especially the case for deep-sea sediments, where the particle sizes are small and pretreatment processes are complex and time-consuming. To address the need for rapid and efficient detection of MPs, we propose a novel method for automatically identifying and counting Nile Red (NR)-stained sedimentary MP particles captured under a stereoscopic fluorescence microscope. …”
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A novel criterion for crack detection in beam structures by frequency response functions by Nguyen Tien Khiem, Tran Thanh Hai, Le Khanh Toan, Nguyen Thi Lan, Ho Quang Quyet

“…Then, SAC calculated for different FRFs of the same damaged structure is employed for crack detection by the so-called contour method. Results obtained in numerical examples of the crack detection problem show that SAC is really a novel and efficient criterion for crack identification in beams from measured FRFs. …”
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Low-Parameter Critic-Based Multivariate WGAN Model for Clogging Detection in Drives by Surówka Artur Dawid, Kosiba Marcin, Mikkelä Teemu, Kavala Asko, Firla Marcin

“…Efficient detection of anomalies in the cooling system of variable frequency drives (VFDs) is crucial to minimise downtime costs from overheating. …”
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Lightweight construction safety behavior detection model based on improved YOLOv8 by Kan Huang, Mideth B. Abisado

“…YOLO (You Only Look Once) is an object detection algorithm that can achieve real-time and efficient object detection by dividing images into grids and predicting the bounding boxes and categories of objects in each grid. …”
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Contrast-Invariant Edge Detection: A Methodological Advance in Medical Image Analysis by Dang Li, Patrick Cheong-Iao Pang, Chi-Kin Lam

“…Since CIED is based on binary bit planes and eliminates complex pixel operations, it is faster and more efficient. …”
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CP-YOLO: An Algorithm for Cigarette Pack Defects Detection Based on CCD Images by Peng Dong, Weihua Feng, Rui Wang, Mingyan Zhang, Qunye Hong, Yongsheng Wang, Di Wang, Guohao Zong

“…The failure to detect defective packs promptly may affect production efficiency and material consumption. …”
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Vibration Analysis and Vehicle Detection by MEMS Acceleration Sensors Embedded in PCC Pavement by Congyi Chang, Linghui Kong, Libin Han, Junmin Li, Shuo Pan, Ya Wei

“…Sensor placement optimization revealed that positioning sensors at the front or rear ends of pavement slabs maximizes vibration response, enabling low-cost and efficient detection. Experimental results demonstrated that the proposed method balances simplicity and accuracy, eliminating the need for complex denoising processes. …”
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Advanced Dense Text Detection in Graded Examinations Leveraging Chinese Character Components by Renyuan Liu, Yunyu Shi, Xian Tang, Xiang Liu

“…The dense text detection and segmentation of Chinese characters has always been a research hotspot due to the complex background and diverse scenarios. …”
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Defect Detection Model for Catenary Components in Environments with Few Samples and Small Targets by YU Xiaosi, WEI Baoquan, LI Zewen, DENG Fangming

“…The introduction of CS (channel and space) attention mechanism in the mask branch network can effectively improve the detection accuracy of small-volume parts. The proposed defect detection model can achieve high-precision detection of cotter pins in complex contact network images, with a detection accuracy and recall rate of up to 88.63% and 87.49% respectively. …”
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Research on Seamless Fabric Defect Detection Based on Improved YOLOv8n by Qin Sun, Bernd Noche, Zongyi Xie, Bingqiang Huang

“…The improvement in this paper first introduces the SPPF_LSKA module, which not only optimizes the extraction of multi-scale features but also enhances the adaptability of the model in detecting defects of different sizes by improving the feature fusion mechanism, enabling efficient recognition of both large-sized and small-sized defects. …”
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Cross-lingual hate speech detection using domain-specific word embeddings. by Ayme Arango Monnar, Jorge Perez Rojas, Barbara Polete Labra

“…However, a large portion of web users around the world speak different languages, creating an important need for efficient multilingual hate speech detection approaches. …”
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Indocyanine Green and Arginine-Glycine-Aspartic Acid Complex Used in Intraoperative Visualization during Resection of Bladder Tumour by Li Peng, I. R. Kabirov, A. R. Kasinskaya, Jiaqi Wang, Wanhai Xu, E. K. Zhuk, R. A. Nuralieva

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Ensemble learning for multi-class COVID-19 detection from big data. by Sarah Kaleem, Adnan Sohail, Muhammad Usman Tariq, Muhammad Babar, Basit Qureshi

“…Although existing techniques are useful for detecting COVID-19 using X-rays, there is a need for further improvement in efficiency, particularly in terms of training and execution time. …”
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