Methods and algorithms of intellectual support in making managerial decisions in the implementation of security alarm tasks at objects of special importance by O. V. Tolstykh, O. V. Isaev

“…This article proposes circuit engineering and software approaches to the organization of promising STS implemented on the basis of programmable microcontrollers. Method. To achieve this goal, a systematic approach has been applied, and obtaining a quantitative assessment of the probabilistic characteristics of detecting an intruder is based on the use of mathematical modeling methods. …”
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An Analog Sensor Signal Processing Method Susceptible to Anthropogenic Noise Based on Improved Adaptive Singular Spectrum Analysis by Zhengyang Gao, Shuangchao Ge, Jie Li, Wentao Huang, Kaiqiang Feng, Chenming Zhang, Chunxing Zhang, Jiaxin Sun

“…Meanwhile, a novel correlation detection reconstruction method based on a clustering algorithm for adaptive signal classification was developed to suppress background noise and extract meaningful signals. …”
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A Fault Diagnosis Method for Oil Well Electrical Power Diagrams Based on Multidimensional Clustering Performance Evaluation by Xingyu Liu, Xin Meng, Ze Hu, Hancong Duan, Min Wang, Yaping Chen

“…To overcome these shortcomings, this paper proposes a novel fault detection method based on the analysis of motor power parameters. …”
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Hyperspectral Anomaly Detection by Spatial–Spectral Fusion Based on Extreme Value-Entropy Band Selection and Cauchy Graph Distance Optimization by Song Zhao, Yali Lv, Wen Zhang, Lijun Wang, Zhiru Yang, Gaofeng Ren, Bin Wang, Xiaobin Zhao, Tongwei Lu, Jiayao Wang, Wei Li

“…Second, to enhance the model’s adaptability to non-Gaussian backgrounds and maximize spectral information utilization, we propose a Cauchy graph distance-optimized RX anomaly detection approach. This method replaces the traditional covariance matrix with a significance-weighted Cauchy distance graph, reducing the influence of the target on the background and improving the model’s robustness in complex environments. …”
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A Facile Method for Screening DPP IV Inhibitors in Living Cell System Based on Enzyme Activity Probe by Shu-Mei Pan, Chun-Yu Xing, Hong-Wei Li, Rui-Min Wang, Xin-Yue Pu, Tie-Gang Wang, Dan-Dan Wang, Li-Wei Zou

“…In conclusion, a straightforward and user-friendly method has been developed for detecting DPP IV activity in live cells, enabling accurate assessment of DPP IV function and efficient screening of inhibitors. …”
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Possibilities of the Hybrid Method (Three-Phase Scintigraphy-SPECT/CTAngiography) in the Diagnosis and Staging of Acute Lower Limb Ischemia by O. V. Leshchinskaya, N. Y. Kudryashova, I. P. Mikhailov, L. T. Khamidova, L. S. Kokov, I. A. Yeroshkin, B. V. Kozlovsky, E. V. Kislukhina

“…The timely and proper diagnosis of the severity of limb ischemia is crucial in selecting the optimal treatment method.AIM OF STUDY To evaluate the advantages of hybrid imaging in diagnosis of ALLI, patient selection and its severity in order to choose an optimal revascularization method.MATERIAL AND METHODS we examined 163 patients with grade 1–3A ALLI based on I.I. …”
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Research on a machine vision-based electro-killing pheromone-baited intelligent agricultural pest monitoring method by Guozhi Li, Zhengbo Liu, Zhengbo Liu, Zelin Feng, Jun Lyu, Bin Li, Guo Chen, Qing Yao

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Efficient Cow Body Condition Scoring Using BCS-YOLO: A Lightweight, Knowledge Distillation-Based Method by Zhiqiang Zheng, Zhuangzhuang Wang, Zhi Weng

“…Monitoring the body condition of dairy cows is essential for ensuring their health and productivity, but traditional BCS methods—relying on visual or tactile assessments by skilled personnel—are subjective, labor-intensive, and impractical for large-scale farms. …”
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Securing IoT devices with zero day intrusion detection system using binary snake optimization and attention based bidirectional gated recurrent classifier by Ali Saeed Almuflih, Ilyos Abdullayev, Sergey Bakhvalov, Rustem Shichiyakh, Bibhuti Bhusan Dash, K. B. V. Brahma Rao, Kritika Bansal

“…This manuscript presents a Binary Snake Optimizer with DL-Enabled Zero-Day Attack Detection and Classification (BSODL-ZDADC) method. …”
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Integrated method for multi-UAV task assignment and trajectory planning with deadlock based on Three-dimensional dubins path by Weinan Wu, Letian Zhang, Jiahao Le, Zeyu Lu

“…The simulation findings demonstrate that the integrated solution technique, taking into account the coupled task planning results, yields much more optimal planning results compared to the decoupling method’s task planning outcomes. …”
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A Deep Reinforcement Learning Method with a Low Intercept Probability in a Netted Synthetic Aperture Radar by Longhao Xie, Ziyang Cheng, Ming Li, Huiyong Li

“…A DRL-based solver is provided for LPI radar, which handles problems that are difficult to optimize using traditional methods. The effectiveness is verified by simulations.…”
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CoDAC: Autonomous Obstacle Avoidance Optimization for Unmanned Surface Vehicle Clusters via Multi-Modal Dynamic Perception and Collaborative Community Detection by Youhong Li, Jiawei Ye, Le Gao, Min Cai

“…This paper proposes CoDAC, an autonomous obstacle avoidance optimization method that synergizes multimodal dynamic perception and incremental community detection. …”
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A Gaze Estimation Method Based on Spatial and Channel Reconstructed ResNet Combined with Multi-Clue Fusion by Zhaoyu Shou, Yanjun Lin, Jianwen Mo, Ziyong Wu

“…Based on the ResNetSC backbone, the method for video gaze estimation was further optimized by jointly locating the head, eyes, and face. …”
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Development and Validation of the Stability of p-SCN-Bn-Df via the Reversed-Phase Chromatography Method: Practical Experiences by Anjli Shrivastav, Mohd. Faheem, Vaibhav Pandey, Manish Dixit

“…In this study aims to optimize the HPLC protocol for 1-(4-isothiocyanatophenyl)-3-[6,17-dihydroxy-7,10,18,21-tetraoxo-27-(<i>n</i>-acetylhydroxylamino)-6,11,17,22-tetraazaheptaeicosine] thiourea (p-SCN-Bn-Df) via the Reversed-Phase Chromatography (RP-HPLC) method. …”
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GA4RF: An Effective Fall Detection System Through Optimizing Random Forest Hyperparameters Using Genetic Algorithm With Mobile Sensor Data by Ha-Nam Nguyen, Hong-Lam Le, Ngo-Thi-Thu-Trang, Duc-Nhan Nguyen

“…In this paper, we introduce a Genetic Algorithm (GA) based Random Forest (RF) method, named GA4RF, to enhance the accuracy of fall detection models by optimizing their hyperparameters. …”
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Two stage malware detection model in internet of vehicles (IoV) using deep learning-based explainable artificial intelligence with optimization algorithms by Manal Abdullah Alohali, Sultan Alahmari, Mohammed Aljebreen, Mashael M. Asiri, Achraf Ben Miled, Sami Saad Albouq, Othman Alrusaini, Ali Alqazzaz

“…The main intention of the MDMIoV-DLXAI model is to enhance the malware detection and classification model in IoV by utilizing advanced two-tier optimization models. …”
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Optimized Sensitivity in Copper(II) Ion Detection: Sustainable Fabrication of Fluorescence Red-Shifted Graphene Quantum Dots via Electron-Withdrawing Modulation by Weitao Li, Qian Niu, Xinglong Pang, Shang Li, Yang Liu, Boyu Li, Shuangyan Li, Lei Wang, Huazhang Guo, Liang Wang

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Response Surface Methodology Optimization of Time-Resolved Fluorescence Immunoassay for Rapid Detection of AflatoxinB₁ in Yellow Rice Wine by Mengjie Zhu, Dun Wang, Du Wang, Jing Dong, Xue Wang, Qi Zhang, Man Xiao

“…Consequently, the development of a highly sensitive and rapid detection method for AFB₁ is urgently needed to provide technical support for quality supervision and risk assessment of yellow rice wine. …”
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A novel method for the determination of trace sulfonylurea herbicides by introducing a hybrid stationary phase to common capillary by Jing-Hua Yang, Xiao-Mao Zhou, Yu-Ping Zhang, Jun Chen, Hai-Weng Ma

“…Under the optimum experimental conditions, the extraction capability of the hybrid fiber was two times greater than that of the polymer fiber without UIO-66(Zr)-NH 2 .The proposed hybrid fiber extraction method exhibited low detection limits (0.19–1.79 µg/l), good precision (<12.0%), and wide linear range (10–700 µg/l). …”
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Determination of 22 elements in pre-prepared meat using inductively coupled plasma-tandem mass spectrometry method by Fang Wang, Yan Wang, Chunmin Wu, Chunlin Zhang, Linan Liu, Meng Cao, Linlin Yang, Jianhui Huang, Zhuo Gao

“…The measurement results of the national standard chicken meat substance (GBW10018) are all within the standard deviation range of the standard value, which indicates that this method has high accuracy and precision and is suitable for the detection of PM products. …”
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