A Multimodal Data Fusion and Embedding Attention Mechanism-Based Method for Eggplant Disease Detection by Xinyue Wang, Fengyi Yan, Bo Li, Boda Yu, Xingyu Zhou, Xuechun Tang, Tongyue Jia, Chunli Lv

“…A novel eggplant disease detection method based on multimodal data fusion and attention mechanisms is proposed in this study, aimed at improving both the accuracy and robustness of disease detection. …”
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Snow Leopard Infrared Camera Image Detection Method Based on Improved EfficientDet Model by DAI Tianhong, LIU Chao

“…The results of the contrast experiment and the ablation experiment show that the proposed method has better detection speed and accuracy than Faster-RCNN，YOLOv3 and SSD. …”
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Real-Time Data-Driven Method for Bolt Defect Detection and Size Measurement in Industrial Production by Jinlong Yang, Chul-Hee Lee

“…These results demonstrated that the system excelled in real-time performance, accuracy, robustness, and efficiency, effectively addressing the demands of industrial production lines for rapid and precise defect detection and size measurement. In the dynamic and variable context of industrial applications, the system can be optimized and adjusted according to specific production environments and requirements, further enhancing the accuracy of defect detection and size measurement tasks.…”
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Urban Planning with Rational Green Infrastructure Placement Using a Critical Area Detection Method by Herath Mudiyanselage Malhamige Sonali Dinesha Herath, Takeshi Fujino, Mudalige Don Hiranya Jayasanka Senavirathna

“…By employing the developed method, the study successfully locates priority zones for GI implementation in Saitama City, Japan, effectively pinpointing areas that require immediate attention. …”
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Dynamic Classifier Auditing by Unsupervised Anomaly Detection Methods: An Application in Packaging Industry Predictive Maintenance by Fernando Mateo, Joan Vila-Francés, Emilio Soria-Olivas, Marcelino Martínez-Sober, Juan Gómez-Sanchis, Antonio José Serrano-López

“…All anomaly detection methods improved the baseline classifier’s performance, with the majority voting ensemble achieving the highest F1 score.…”
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Accelerated and Energy-Efficient Galaxy Detection: Integrating Deep Learning with Tensor Methods for Astronomical Imaging by Humberto Farias, Guillermo Damke, Mauricio Solar, Marcelo Jaque Arancibia

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Crack Defect Detection Method for Plunge Pool Corridor Based on the Improved U-Net Network by Chunyao Hou, Zhihui Liu, Fan Xia, Xun Zhou, Yuhang Shui, Yonglong Li

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Research on load frequency control system attack detection method based on multi-model fusion by Feng Zheng, Weixun Li, Huifeng Li, Libo Yang, Zengjie Sun

“…Abstract Load frequency control (LFC) in power systems faces increasingly complex cyber-physical attack threats, while existing detection methods have limited capability to identify intelligent attacks. …”
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Malware Detection Using a Random Forest Method Trained on a Balanced Synthetic Dataset by Neo Onica Matsobane, Sello Mokwena

“…The accuracy of malware detection is closely related to the available datasets, which are often small and imbalanced. …”
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Defect Detection Method of Carbon Fiber Unidirectional Band Prepreg Based on Enhanced YOLOv8s by Weipeng Su, Mei Sang, Yutong Liu, Xueming Wang

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A Vision-Based Method for Detecting the Position of Stacked Goods in Automated Storage and Retrieval Systems by Chuanjun Chen, Junjie Liu, Haonan Yin, Biqing Huang

“…STEGNet’s core innovation is the Efficient Gated Pyramid Feature Network (EG-FPN), which integrates a Gated Feature Fusion module and a Lightweight Attention Mechanism to optimize feature extraction and fusion. In addition, we introduce a geometric constraint method for box edge detection and employ a Perspective-n-Point (PnP)-based 2D-to-3D transformation approach for precise pose estimation. …”
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Earthquake landslide detection method combining post-earthquake coherence increase and polarized vegetation damage by Haoran Liu, Ping Duan, Jia Li, Kang Zhao, Xinrui Yu

“…The method first optimizes coherence data to minimize interference from decoherence factors, then introduces the dual-polarization radar vegetation index (DpRVI) to quantify post-earthquake vegetation damage, and finally uses wavelet transform (WT) to fuse this information with coherence increase data for improved detection accuracy. …”
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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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A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023 by Shalini Kumari, Chander Prabha, Asif Karim, Md. Mehedi Hassan, Sami Azam

“…Further, research is needed to create robust, efficient techniques that generalize datasets and detect anomalies in complex industrial images. The outcome of this study focuses on various AD methods from 2019 to 2023. …”
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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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Methods for Detection, Extraction, Purification, and Characterization of Exopolysaccharides of Lactic Acid Bacteria—A Systematic Review by Manoj Kumar Yadav, Ji Hoon Song, Robie Vasquez, Jae Seung Lee, In Ho Kim, Dae-Kyung Kang

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