Optimization Identification of wild mustard (Sinapis arvensis L.) seeds in rapeseed seed lots by morphological, chemical and Molecular methods by Bita Oskouei, Leila Sadeghi, Fatemeh Doorooshi

“…The present study was conducted to optimize the identification and detection of wild mustard seeds in rapeseed lots by morphological, chemical and molecular methods. …”
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A Rapid and Nondestructive Quality Detection Approach for Yongchuan Xiuya Tea Based on NIRS and siPLS-ANN Method by Ying Zhang, Jie Wang, Xiuhong Wu, Rui Chang, Hongyu Luo, Juan Yang, Quan Wu, Ze Xu, Yingfu Zhong

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EdgeSugarcane: a lightweight high-precision method for real-time sugarcane node detection in edge computing environments by Zhenhui Zheng, Zhenhui Zheng, Zhenhui Zheng, Lijiao Wei, Lijiao Wei, Kangmin Lin, Weihua Huang, Shuo Wang, Dongjie Du, Tao Wu

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DC Series Arc Fault Detection and Self- Extinguishing Method With Power Stage Design of Module Level Power Electronics by Hwa-Pyeong Park, Mina Kim, Suyong Chae

“…However, it increases the possibility of arc fault between the PV panel and DC optimizer. This paper proposes the DC series arc fault detection and self-extinguishing method for the DC optimizer through the power stage design. …”
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Establishment of a rapid method for the detection of Brucella canis based on recombinase-mediated thermostable nucleic acid amplification technology by Shao-Zheng Song, Zi-Yuan Li, Yuan-Yuan Liu, Ying-Chao Wu, Kang-Ying Yu, Zhengyi He

“…ObjectiveTo establish a rapid detection method for canine brucellosis using recombinase-aided amplification (RAA) technology.MethodsThe outer membrane protein 25 gene fragment (Omp25) of Brucella canis was targeted. …”
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Flame Combustion State Detection Method of Cement Rotary Furnace Based on Improved RE-DDPM and DAF-FasterNet by Yizhuo Zhang, Zixuan Gu, Huiling Yu, Shen Shi

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ESFormer: A Pillar-Based Object Detection Method Based on Point Cloud Expansion Sampling and Optimised Swin Transformer by Zhuoxuan Zhao, Qianchun Li, Shengyu Hao, Xinyan Huang, Fan Zhang

“…To this end, this study proposes an innovative target detection method based on Pillar point cloud, by designing a point cloud enhancement module called the Point Cloud Expansion Sampling Tool (PCES-Tool) and combining it with a Swin Transformer architecture based on optimized patch partition (Swin-T+). to solve the above problems. …”
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Development and application of a triplex real-time PCR method for the detection of Lawsonia intracellularis, Brachyspira hyodysenteriae, and Clostridium perfringens by Wenqing Wu, Lei Wang, Rui Xie, Changjiang Peng, Hao Yang, Hechao Zhu, Yajuan Luo, Lin Hua, Huanchun Chen, Bin Wu, Zhong Peng

“…A total of 5,702 samples from pig farms in China from 2021 to 2024 were detected by this method. The results showed that all three pathogens were detected and mixed infections occurred. …”
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A Lightweight Method for Road Defect Detection in UAV Remote Sensing Images with Complex Backgrounds and Cross-Scale Fusion by Wenya Zhang, Xiang Li, Lina Wang, Danfei Zhang, Pengfei Lu, Lei Wang, Chuanxiang Cheng

“…Moreover, the CAA attention mechanism is employed to strengthen the model’s global feature extraction abilities; (2) a cross-scale feature fusion strategy known as GFPN is developed to tackle the problem of diverse target scales in road damage detection; (3) to reduce computational resource consumption, a lightweight detection head called EP-Detect has been specifically designed to decrease the model’s computational complexity and the number of parameters; and (4) the model’s localization capability for road damage targets is enhanced by integrating an optimized regression loss function called WiseIoUv3. …”
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Research on Temperature Control Method of Rice Noodles Extruder Based on APSO-MPC by Mengyao Zhang, Yunren Yang, Guohua Gao, Zhenlong Li, Yakai He, Peigang Li, Huangzhen Lv

“…Aiming to address the problems of many temperature control disturbances and the hysteresis of control output in existing rice noodle extruders, a temperature control method for a rice noodle extruder based on adaptive particle swarm optimization (APSO) optimization model predictive control (MPC) was designed. …”
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Precise Feature Removal Method Based on Semantic and Geometric Dual Masks in Dynamic SLAM by Zhanrong Li, Chao Jiang, Yu Sun, Haosheng Su, Longning He

“…To address the issue of unstable feature points within dynamic regions, this study proposes a robust dual-mask filtering strategy that synergistically integrates semantic segmentation information with geometric outlier detection techniques. The proposed method first identifies outlier feature points through rigorous geometric consistency checks, then employs morphological dilation to expand the initially detected dynamic regions. …”
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Establishment of a One–Pot RAA–CRISPR/Cas13a Assay-Based TGEV S Gene Detection by Lindan Lv, Hao Mu, Shaomei Li, Jieqi Gao, Mingni Liu, Shuizhu Niu, Guoyang Xu, Lizhi Fu, Zhenhui Song, Liu Yang

“…In this study, we developed a one–pot assay combining recombinase-aided amplification (RAA) and CRISPR/Cas13a technology, targeting the TGEV S gene. This method was optimized for sensitivity and specificity, with orthogonal tests determining the optimal reagent concentrations. …”
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Tomato Yield Estimation Using an Improved Lightweight YOLO11n Network and an Optimized Region Tracking-Counting Method by Aichen Wang, Yuanzhi Xu, Dong Hu, Liyuan Zhang, Ao Li, Qingzhen Zhu, Jizhan Liu

“…The improved lightweight YOLO11n model is adaptable to edge computing devices, enabling tomato yield estimation while maintaining high detection accuracy. An optimized region tracking-counting method was proposed, combining target tracking and region detection to count the detected fruits. …”
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Conditional GAN-Based Two-Stage ISP Tuning Method: A Reconstruction–Enhancement Proxy Framework by Pengfei Zhan, Jiongyao Ye

“…The results demonstrate that the proposed method outperforms end-to-end proxy methods on public datasets (SIDD, KITTI) and achieves over 21% improvement in performance metrics compared to hand-tuning methods.…”
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Optimization of a Method for the Determination of a Mustard Gas Biomarker in Human Blood Plasma by Liquid Chromatography–Mass Spectrometry by А. V. Braun, I. V. Rybalchenko, V. N. Fateenkov, М. А. Ponsov, Y. V. Stavitskay, D. V. Oreshkin

“…A method for the determination of a mustard gas biomarker (an S-hydroxyethylthioethyl adduct with albumin) in blood plasma was optimized with the use of HPLC with tandem mass-spectrometric detection. …”
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A green and robust LC–MS/MS bioanalytical method for sulopenem etzadroxil and probenecid: Optimization, validation, and pharmacokinetic application by Niloufer Tasnim Khazi, Kumaraswamy Gandla, Lalitha Repudi

“…The method exhibited excellent linearity (10–400 ng/mL), low limits of detection (LOD: ∼3 ng/mL), and quantification (LOQ: ∼9 ng/mL) for both analytes, with recovery rates > 93 % and %CVs < 15 %. …”
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Optimization of Beamforming and Transmit Power Using DQN and Comparison With Traditional Techniques by Parmida Geranmayeh, Eckhard Grass

“…These technologies enhance wireless communication by leveraging deep neural networks and data-driven methods to optimize resource allocation, signal detection, and channel coding. …”
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Research on Anti-Submarine Warfare Method of Unmanned Aerial Vehicle Cluster Based on Area Coverage and Distributed Optimization Control by Yongzhao Yan, Yi Liu, Ying Bi, Qian Wang, Huazhen Cao, Ziping Yu, Kangkang Li, Bo Wang, Xiaoping Ma

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Hand–Eye Separation-Based First-Frame Positioning and Follower Tracking Method for Perforating Robotic Arm by Handuo Zhang, Jun Guo, Chunyan Xu, Bin Zhang

“…To address these challenges, this paper proposes a dual-arm tunnel drilling robot system with hand–eye separation, utilizing the first-frame localization and follower tracking method. The vision arm (“eye”) provides real-time position data to the drilling arm (“hand”), ensuring accurate and efficient operation. …”
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A Dynamic Evaluation Method for Collaborative Search Efficiency of Multi-Sonar Systems Under Uncertain Situations by Shizhe Wang, Weiyi Chen, Zongji Li, Xu Chen

“…Specifically, we develop an information fusion method for multi-sensor detection based on adaptive weight calculation first, weights are assigned to each sensor based on the real-time changing detection probability to obtain more accurate detection probability fusion results. …”
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