PANEL STUDY OF THE EFFECTIVENESS OF LOW-DOSE COMPUTED TOMOGRAPHY AND TRANSTHORACIC CORE BIOPSY IN EARLY DIAGNOSTICS OF LUNG CANCER by A. I. Arseniev, A. A. Barchuk, K. A. Kostitsin, A. V. Nefedova, A. S. Barchuk, A. V. Chernaja, E. V. Levchenko, S. A. Tarkov, A. O. Nefedov, K. E. Gagua

“…The modern lung cancer diagnostics allows detecting the disease on the early stage and collecting the morphologic materials sufficiently enough for personalization of management algorithms.…”
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WDS-YOLO: A Marine Benthos Detection Model Fusing Wavelet Convolution and Deformable Attention by Jiahui Qian, Ming Chen

“…Furthermore, it outperformed several mainstream underwater object detection algorithms, achieving a detection speed of 104.5 fps. …”
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A Resource-Efficient Time-Domain-Based Algorithm to Estimate Respiration Rate From Single-Lead ECG Signal by G. B. Krishnapriya, R. N. Ponnalagu, Sanket Goel

“…The proposed algorithm uses statistical TD parameters—mean, prominence, and distance (MPD)—to detect valid respiratory peaks in ECG-derived respiration (EDR) signals. …”
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Research on Cross-Circuitry Fault Identification Method for AC/DC Transmission System Based on Blind Signal Separation Algorithm by Yan Tao, Xiangping Kong, Chenqing Wang, Junchao Zheng, Zijun Bin, Jinjiao Lin, Sudi Xu

“…The traditional AC/DC transmission detection methods have the characteristics of complex detection processes and low fault line identification rates. …”
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Ultrashort wave satellite channel classification and recognition algorithm based on mirror filled spectrum and LA-ResNet50 by Shang WU, Lei SHEN, Lijun WANG, Ruxu ZHANG, Xin HU

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Integrated Sensing and Communication Target Detection Framework and Waveform Design Method Based on Information Theory by Qilong Miao, Xiaofeng Shen, Chenfei Xie, Yong Gao, Lu Chen

“…The traditional likelihood ratio test (LRT) target detection algorithm performs inadequately under low signal-to-noise ratio (SNR) conditions, and the performance of mainstream orthogonal frequency division multiplexing (OFDM) waveforms declines sharply in high-speed scenarios. …”
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Deployment cost minimization for composite event detection in large-scale heterogeneous wireless sensor networks by Xiaoqing Dong, Lianglun Cheng, Gengzhong Zheng, Tao Wang

“…Also, the time complexity and approximability of these two algorithms are analyzed. The experimental results show that the proposed approximation algorithm has low deployment cost and low time complexity under the same coverage quality.…”
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Identification of Abnormal Electricity Consumption Behavior of Low-Voltage Users in New Power Systems Based on a Combined Method by Jiaolong Gou, Xudong Niu, Xi Chen, Shuxin Dong, Jing Xin

“…In order to effectively meet this challenge, it is of great practical significance to carry out monitoring and analysis of abnormal power consumption of low-voltage users. In this paper, a new detection model of abnormal power consumption behavior of low-voltage power users in power system based on the hybrid model, namely the K-GBDT model, is proposed. …”
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LiDAR-based Road Intrusion Detection Technology forAutonomous-rail Rapid Tram by LONG Teng, LIU Sisi, HU Yunqing, LI Xiaoguang, YUAN Xiwen, PAN Wenbo, LUO Yiping, YU Wentian

“…Point cloud data is de-noised by multi-key point iteration and multi-generation model using Ground Plane Fitting algorithm, and point cloud data with low noise and easy segmentation is returned. …”
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A Novel Method for Node Fault Detection Based on Clustering in Industrial Wireless Sensor Networks by Wenbo Zhang, Guangjie Han, Yongxin Feng, Long Cheng, Deyu Zhang, Xiaobo Tan, Lidong Fu

“…Therefore, in order to reduce the network detection load and improve the system scalability, a cluster-based fault detection (CFD) algorithm is proposed. …”
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A Tactical Conflict Detection and Resolution Method for En Route Conflicts in Trajectory-Based Operations by Dong Sui, Kai Zhang

“…In the conflict detection (CD) submodule, a spatial data structure with low time complexity, the R tree algorithm, is used. …”
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Exposed conductor detection of 10 kV distribution line based on improved YOLOv8 by Qiwen JING, Sipeng HAO, Siyuan LI

“…Traditional manual inspection methods often fail to detect such defects in a timely manner. A detection method for exposed conductors in 10 kV distribution lines is proposd based on an improved YOLOv8 algorithm,which is designed to assist power grid maintenance personnel detecting conductor exposed defects quickly and efficiently. …”
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YOLOv8n-DDSW: an efficient fish target detection network for dense underwater scenes by Jinwang Yi, Wei Han, Fangfei Lai

“…Thus, the algorithm is effective in solving low detection accuracy in intensive aquaculture scenarios and theoretically supports the intelligent and modern development of fisheries.…”
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Tensor decomposition based-joint active device detection and channel estimation under frequency offset by QU Ruiyun, LIU Zujun, HUANG Beilei

“…Compared with the existing algorithms under the frequency offsets, the proposed algorithm has a significant improvement in detection performance.…”
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Deep learning outperforms existing algorithms in glacier surface velocity estimation with high-resolution data – the example of Austerdalsbreen, Norway by Harald Zandler, Jakob Abermann, Benjamin A. Robson, Alexander Maschler, Thomas Scheiber, Jonathan L. Carrivick, Jacob C. Yde

“…Therefore, we tested the potential of new deep learning-based image-matching algorithms for deriving glacier surface velocities across the ablation area of a glacier with strong spatial variability in surface velocities (<5 m/yr to >100 m/yr) and substantial changes in surface properties between image acquisitions. …”
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A Low-Noise High-Resolution Temperature Measurement Technique Based on Inductive Voltage Divider and Alternating-Current Bridge by Shanghua Gao, Xiaoyi Zhu, Xiaofeng Zhang, Bing Xue, Jilou Xi, Jiang Li, Bing Zhang, Xiaolei Wang, Yuru Wang, Haoyue Zhang, Xu Wu

“…The proposed method has the following three characteristics: (1) it employs an AC excitation signal to drive the temperature measuring bridge to overcome the influence of 1/f noise in electronic components; (2) it uses as few resistance components as possible in the AC bridge and signal detection circuit to reduce the impact of resistance thermal noise on the measurement results; (3) it adopts a frequency-domain data processing algorithm based on discrete Fourier transform to improve the accuracy of the temperature measuring result. …”
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FPGA-Based Real-Time Moving Target Detection System for Unmanned Aerial Vehicle Application by Jia Wei Tang, Nasir Shaikh-Husin, Usman Ullah Sheikh, M. N. Marsono

“…The complex detection algorithm can be implemented in a real-time embedded system using Field Programmable Gate Array (FPGA). …”
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Pulse wave time series unsupervised clustering with importance ratios for heart failure subgroups detection by Dandan WU, Ryohei ONO, Sirui WANG, Yoshio KOBAYASHI, Hao LIU

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Smart Edge Computing Framework for Real-Time Brinjal Harvest Decision Optimization by T. Tamilarasi, P. Muthulakshmi, Seyed-Hassan Miraei Ashtiani

“…Tested on diverse farm layouts, the BHDS achieved 95.53% accuracy in data collection and captured quality images within an average of 3 s, reducing both time and energy for dataset creation. The brinjal detection algorithm employs pixel-based methods, including background elimination, K-means clustering, and symmetry testing for precise identification. …”
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Vehicle Flow Detection and Tracking Based on an Improved YOLOv8n and ByteTrack Framework by Jinjiang Liu, Yonghua Xie, Yu Zhang, Haoming Li

“…However, traditional methods often struggle with challenges such as the poor detection of small objects and low efficiency when processing large-scale data. …”
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