Cumulative confidence-driven task offloading for object detection in maritime Internet of Things by Yanglong Sun, Wenqian Luo, Weijian Xu, Qiang Mei, Haixia Peng, Linhai Wei

“…However, the dynamic marine network and environmental interference in feature extraction adversely affect detection accuracy and cause delay. …”
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An RIS-Assisted Integrated Deep Learning Framework for MIMO-OFDM-IM by Md Abdul Aziz, Md Habibur Rahman, Mohammad Abrar Shakil Sejan, Rana Tabassum, Hyoung-Kyu Song

“…However, efficient signal detection remains challenging due to severe interchannel interference and the correlation among subcarrier symbols within each subblock. …”
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Parcel Segmentation Method Combined YOLOV5s and Segment Anything Model Using Remote Sensing Image by Xiaoqin Wu, Dacheng Wang, Caihong Ma, Yi Zeng, Yongze Lv, Xianmiao Huang, Jiandong Wang

“…However, existing methods often underperform in complex scenes due to small-object segmentation challenges, blurred boundaries, and background interference, often influenced by sensor resolution and atmospheric variation. …”
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The self supervised multimodal semantic transmission mechanism for complex network environments by Jiajun Zou, Zhiping Wan, Feng Wang, Shitong Ye, Shaojiang Liu

“…Abstract With the rapid development of intelligent transportation systems, the challenge of achieving efficient and accurate multimodal traffic data transmission and collaborative processing in complex network environments with bandwidth limitations, signal interference, and high concurrency has become a key issue that needs to be addressed. …”
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Detection of Phosphorus in Water by Laser-Induced Breakdown Spectroscopy Based on Liquid-Solid Transformation of Graphite Substrate Combined with PLS-SVR Fusion Quantitative Analys... by Huijie Zhang, Yao Chen, Zongjie Bi, Xiaohua Che, Zhaoshuo Tian

“…The PLS-SVR algorithm boosted prediction accuracy through data enhancement and spectral feature extraction, reducing errors to 2.1% (0.625 mg/L) and 5.6% (2.5 mg/L). …”
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Grape Target Detection Method in Orchard Environment Based on Improved YOLOv7 by Fuchun Sun, Qiurong Lv, Yuechao Bian, Renwei He, Dong Lv, Leina Gao, Haorong Wu, Xiaoxiao Li

“…Secondly, the SPPFCSPC pyramid pooling is embedded to enhance the speed of image feature fusion while maintaining a consistent receptive field. …”
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A Novel Single Source Bridgeless Nine-Level Switched-Capacitor-Based Quadruple Boost Inverter With Reduced Voltage Stress by Devanand Kumar, Ravi Raushan, Md. Waseem Ahmad, Soham Dutta

“…Moreover, the proposed inverter’s leakage current can be almost zero due to the presence of the common ground (CG) feature. The nearest level pulse width control technique has been implemented to operate the proposed inverter. …”
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Research on Citrus Leaf Disease Recognition Using Class-Agnostic Contrastive Learning and Supervised Organizational Mapping by Wen Xiao, Jinxia Shang, Fan Li, Ou Ao, Xin Wang, Shiyi Tian

“…Our key methodological innovations include a three-stage weakly supervised framework that systematically resolves background interference and feature redundancy: 1) Class-agnostic contrastive localization enabling precise lesion mapping without region annotations, 2) Stable feature initialization through region-guided classification training, 3) Sparse orthogonal mapping with experimentally-determined nodes introducing orthogonality constraints to enhance feature separation. …”
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Research on Underwater Target Detection Technology Based on SMV-YOLOv11n by Dongcheng Liao, Yijun Shen, Jinyu Ou, Yanlian Du

“…The experimental results demonstrate that SMV-YOLOv11 possesses significant advantages in underwater object detection, effectively mitigating interference from background noise, low-light conditions, and blur. …”
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Analysis of Asymmetric Structures with Triple Modal Reservation by S. R. Morozov, T. R. Gazizov

“…No asymmetric sets of parameters that would attenuate the interference pulse of more symmetric sets (1 and 2) were found for all possible failure scenarios. …”
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Effects of repetitive transcranial magnetic stimulation on inhibitory control in first-episode schizophrenia: behavioral and neural mechanisms by Sihang Yu, Shuai Wang, Hang Sun

“…BackgroundInhibitory control deficits are a core feature of cognitive impairment in schizophrenia, associated with abnormal activation of key brain networks. …”
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A Study on the SLAM of Automotive Vehicles Using Bumper-Mounted Dual LiDAR by Jae-Hun Jang, Hyeong-Jun Kim, Kyung-Chang Lee

“…The proposed approach addresses these challenges by installing two LiDAR sensors at the ends of the vehicle bumper, optimizing the bumper-level FOV while minimizing interference from ground-level obstacles. The algorithm integrates point cloud data from both sensors using iterative closest point (ICP) matching and feature extraction techniques, enabling accurate vehicle odometry and 3D mapping. …”
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A study on the detection of conductor quantity in cable cores based on YOLO-cable by Xiaoguang Xu, Jiale Ding, Qi’an Ding, Qikai Wang, Yi Xun

“…Challenges such as high density, adhesion, and knife mark interference in cable conductor images make intelligent detection of conductor quantity particularly difficult. …”
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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

“…The water surface environment is highly complex, and floating objects in aerial images often occupy a minimal proportion, leading to significantly reduced feature representation. These challenges pose substantial difficulties for current research on the detection and classification of water surface floating objects. …”
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ICEEMDAN–VMD denoising method for enhanced magnetic memory detection signal of micro-defects by Shouhong Ji, Jie Yan, Yang Liu, Guojun He

“…When improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) is employed independently for signal denoising, the noise and feature signals of the transition components are retained or removed. …”
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Hymyc1 downregulation promotes stem cell proliferation in Hydra vulgaris. by Alfredo Ambrosone, Valentina Marchesano, Angela Tino, Bert Hobmayer, Claudia Tortiglione

“…We show the kinetic and the reversible feature of Hymyc1 RNAi, together with the effects displayed on regenerating animals. …”
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MHSAEO Index for Fault Diagnosis of Rolling Bearings in Electric Hoists by Xinhui Wang, Yan Wang, Yutian He

“…Rolling bearing fault diagnosis in electric hoists faces significant challenges due to heavy noise and complex vibration interferences, which obscure fault signatures and hinder conventional demodulation methods. …”
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Non-linear link between temperature difference and COVID-19: Excluding the effect of population density by Yongmei Ding, Liyuan Gao, Ning-Yi Shao

“… Introduction: The spatiotemporal patterns of Corona Virus Disease 2019 (COVID-19) is detected in the United States, which shows temperature difference (TD) with cumulative hysteresis effect significantly changes the daily new confirmed cases after eliminating the interference of population density. Methodology: The nonlinear feature of updated cases is captured through Generalized Additive Mixed Model (GAMM) with threshold points; Exposure-response curve suggests that daily confirmed cases is changed at the different stages of TD according to the threshold points of piecewise function, which traces out the rule of updated cases under different meteorological condition. …”
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Wpływ anglojęzycznych tłumaczeń literatury grozy w 1990–1995 na kształtujące się po 1989 roku polskie realizacje gatunku by Adam Mazurkiewicz

“…This is because it appeared on the Vistula with the following problematic and thematic trends: (1) emphasizing corporeality as a source of horror, resulting from the “adventures of the body” — both non-normative, disciplined, and subjected to variously motivated interference; (2) emphasizing the uncanny as an immanent feature of existence; (3) problematizing the issue of the species hegemony of man treated in traditional culture as the “crown of creation”; (4) rooted in locality and finding sources of horror in it. …”
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Numerical study on the punching shear strength of edge steel-reinforced concrete slab-column connections by Ahmed Gouda

“…This study investigates the influence of key geometric parameters—slab thickness, column aspect ratio, square column stub size, and span-to-depth ratio—on punching shear strength, a topic underexplored in existing research. A unique feature of this research is the ability to examine the effects of slab thickness, column aspect ratio, and square column stub size independently, without any interference from changes in the span-to-depth ratio, by keeping it constant. …”
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