Early Detection of Voltage Instability: A Transparent, Rule-Based Method for Cyber-Resilient Grids by Mahtab Khalilifar, Seyed Mohammad Shahrtash

“…Unlike traditional Phasor Measurement Unit (PMU) dependent methods vulnerable to cyber threats like data spoofing, the proposed approach uses PMU data only for initial system updates. …”
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Assessing the Effectiveness of Immunoelectric Method in Detecting Mycobacterium avium Subspecies paratuberculosis in Cow Faeces With Paratuberculosis by Mohammad Khosravi, MohammadRahim Haji Hajikolaei, Mohammad Nouri, Shayan Kalanter

“…This study aimed to optimize and evaluate an immunoelectric (IE) method for detecting MAP in faecal samples from infected cows. …”
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A Novel Audio Copy Move Forgery Detection Method With Classification of Graph-Based Representations by Beste Ustubioglu, Gul Tahaoglu, Arda Ustubioglu, Guzin Ulutas, Muhammed Kilic

“…This paper presents a novel method to detect audio copy-move forgery, a type of manipulation where segments of an audio file are duplicated and moved to different locations within the same file. …”
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A Discrete Fourier Transform-Based Signal Processing Method for an Eddy Current Detection Sensor by Songhua Huang, Maocheng Hong, Ge Lin, Bo Tang, Shaobin Shen

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A novel method of BiFormer with temporal-spatial characteristics for ECG-based PVC detection by Siyuan Chen, Zhen Wang, Hao Wang, Shuai Wang, Yang Li, Yang Li, Bing Wang

“…This approach filtered out redundant information, and optimized both computational efficiency and memory usage.ResultsOur algorithm achieved a detection accuracy of 99.45%, outperforming other commonly-used PVC detection algorithms.DiscussionBy integrating MTF and BiFormer, we effectively detected PVCs, facilitating an increased convergence between medicine and deep learning technology. …”
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Hyperspectral Detection of Pesticide Residues in Black Vegetable Based on Multi-Classifier Entropy Weight Method by Rongchang Jiang, Guoqiang Zhuang, Shijie Xie, Yang Wang, Guoqi Zhang, Dandan Qu, Wanzhi Wen

“…Models were built using eXtreme gradient boosting, random forest, and support vector machine algorithms. The entropy weight method was then used to optimize model weights, developing the multi-classifier entropy weighted method algorithm to improve detection accuracy and robustness. …”
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Deepfake Face Detection and Adversarial Attack Defense Method Based on Multi-Feature Decision Fusion by Shanzhong Lei, Junfang Song, Feiyang Feng, Zhuyang Yan, Aixin Wang

“…The final decisions from both modules were integrated using a voting method, completing the deepfake face detection process. …”
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<i>DSW-YOLO</i>-Based Green Pepper Detection Method Under Complex Environments by Yukuan Han, Gaifeng Ren, Jiarui Zhang, Yuxin Du, Guoqiang Bao, Lijun Cheng, Hongwen Yan

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PHRF-RTDETR: a lightweight weed detection method for upland rice based on RT-DETR by Xianjin Jin, Jinheng Zhang, Fei Wang, Mengyan Zhao, Yunshuang Wang, Jianping Yang, Jinfeng Wu, Bing Zhou

“…However, the current weed detection methods for upland rice often struggle to achieve a balance between accuracy and lightweight design, significantly hindering the practical application and widespread adoption of intelligent weeding technologies in real-world agricultural scenarios. …”
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Optimization of Sulfur Determination in Vanadium-Titanium Magnetite Ore in the Panxi Area by Yong WANG, Zijing LI, Lin LIU, Guowei LI

“…The relative standard deviation (RSD) in samples was 0.40%−0.67%, with satisfactory precision. The range of the method was 0.0004%−1.52%, and the detection limit was 0.0004%.…”
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Optimization of [C]Raclopride Positron Emission Tomographic Rat Studies: Comparison of Methods for Image Quantification by Èlia Torrent, Magí Farré, Ibane Abasolo, Olga Millan, Jordi LLop, Juan Domingo Gispert, Alba Ruiz, Deborah Pareto

“…In addition, filtered backprojection is recommended as a reconstruction algorithm, although iterative methods may be more sensitive to detect within-group differences.…”
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Optimal surface defect detector design based on deep learning for 3D geometry by Sangmin Suh

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Optimal features assisted multi-attention fusion for robust fire recognition in adverse conditions by Inam Ullah, Nada Alzaben, Yousef Ibrahim Daradkeh, Mi Young Lee

“…Abstract Deep neural networks have significantly enhanced visual data-based fire detection systems. However, high false alarm rates, shallow-layered networks, and poor recognition in challenging environments continue to hinder their practical deployment. …”
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Optimizing Satellite Imagery Datasets for Enhanced Land/Water Segmentation by Marco Scarpetta, Luisa De Palma, Attilio Di Nisio, Maurizio Spadavecchia, Paolo Affuso, Nicola Giaquinto

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Research on the Transformer Failure Diagnosis Method Based on Fluorescence Spectroscopy Analysis and SBOA Optimized BPNN by Xueqing Chen, Dacheng Li, Anjing Wang

“…The representative dissolved gases analysis (DGA) method for transformer fault detection faces many shortcomings in early fault diagnosis, which restricts the application and development of fault detection technology in the field of transformers. …”
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Research on Feature Extraction Method and Process Optimization of Rolling Bearing Faults Based on Electrostatic Monitoring by Ruochen Liu, Han Yin, Jianzhong Sun, Lanchun Zhang

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Optimizing Dielectric Rod Antenna Performance with Spoof Surface Plasmon Polariton-Based Feeding Method by Rishitej Chaparala, Shaik Imamvali, Sreenivasulu Tupakula, Mohammad Aljaidi, Shonak Bansal, Krishna Prakash, Ali Fayez Alkoradees

“…Additionally, the remote sensing properties of the feeder can be utilized for concealed object detection, material characterization, and the analysis of the spectral properties of materials.…”
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Hybrid Optimized Feature Selection and Deep Learning Method for Emotion Recognition That Uses EEG Data by asmaa Bashar Hmaza, Rajaa K. Hasoun

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Research on anti-occlusion tracking method for underground mine personnel based on adaptive link optimization by LU Yang, DONG Lihong, YE Ou

“…To address the issue of inaccurate trajectory matching caused by frequent occlusions and appearance confusion of underground mine personnel in coal mines, an anti-occlusion tracking method for underground mine personnel based on adaptive link optimization was proposed. …”
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An Optimized Adsorbent Sampling Combined to Thermal Desorption GC-MS Method for Trimethylsilanol in Industrial Environments by Jae Hwan Lee, Chunrong Jia, Yong Doo Kim, Hong Hyun Kim, Tien Thang Pham, Young Seok Choi, Young Un Seo, Ike Woo Lee

“…The optimized method demonstrated high recovery (87%), satisfactory precision (<15% for spiked amounts exceeding 1 ng), good linearity (R2=0.9999), a wide dynamic mass range (up to 500 ng), low method detection limit (2.8 ng m−3 for a 20-L sample), and negligible losses for 3-4-day storage. …”
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