Maritime moving target localization method based on improved differential evolution with GNSS-based passive multistatic radar by HE Zhenyu, MAO Yi, YANG Yang, CHEN Wu

“…First, the long integration technique was exploited by multiple bistatic geometry configurations to focus target energy in the rangee-Doppler domains, Then, the focused target energy was projected into the Cartesian plane for joint detection and localization. To enhance the efficiency of the projection processing, an improved differential evolution was put forward, which could ensure algorithm convergence and maintain population diversity by the co-evolution strategy of superior and inferior populations. …”
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Novel Spatiotemporal Filter for Dim Point Targets Detection in Infrared Image Sequences by Zhaohui Li, Xiaorui Wang, Jianqi Zhang, Delian Liu

“…Dim point target detection is of great importance in both civil and military fields. …”
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A Self-Adaptive Particle Swarm Optimization Based Multiple Source Localization Algorithm in Binary Sensor Networks by Long Cheng, Yan Wang, Shuai Li

“…With the development of wireless communication and sensor techniques, source localization based on sensor network is getting more attention. …”
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Differential Seismic Phase Detection Probability as a Potential Discriminant of Explosions and Earthquakes by Chenglong Duan, Brandon Schmandt, Ross Maguire, Ruijia Wang, Qingkai Kong

“…Deep learning models trained to estimate the probability of seismic P and S phases are rapidly expanding the scale of local event detections. Here, we evaluate the potential for deep learning model output phase detection probabilities to contribute to event-type classification, particularly discrimination of single-fired borehole explosions and earthquakes at local distances (<300 km). …”
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An improved air conditioner label defect detection algorithm based on SURF features by Huizi ZHOU, Yuelin LIU, Qing LIU, Jianwu LI

“…Aiming at the bottleneck that deep learning algorithms are not compatible with device detection and new sample collection,as well as poor detection timeliness and generalization ability,a traditional template matching detection algorithm based on SURF features was proposed. …”
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Data augmentation based multi-view contrastive learning graph anomaly detection by LI Yifan, LI Jiayin, LIN Xingpeng, DAI Yuanfei, XU Li

“…Specifically, a graph data augmentation method for anomaly detection was proposed, in which the relative local structure of target nodes and their own attributes were used to correlate distant nodes in order to construct an augmented view that was rich in global information. …”
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A New Hybrid ConvViT Model for Dangerous Farm Insect Detection by Anil Utku, Mahmut Kaya, Yavuz Canbay

“…The findings highlight that the ConvViT model achieves high efficiency in pest detection by integrating local and global feature learning. …”
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BSMD-YOLOv8: Enhancing YOLOv8 for Book Signature Marks Detection by Long Guo, Lubin Wang, Qiang Yu, Xiaolan Xie

“…Our proposed backbone, the Lightweight Multi-scale Residual Network (LMRNet), achieves a lightweight network while enhancing the accuracy of small object detection. To address the issue of insufficient fusion of local and global feature information in PANet, we design the Low-stage gather-and-distribute (Low-GD) module and the High-stage gather-and-distribute (High-GD) module to enhance the model’s multi-scale feature fusion capabilities, thereby refining the integration of local and global features of signature marks. …”
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AN ITERATIVE ALGORITHM OF OBJECT DETECTION IN VIDEO SEQUENCE BASED ON HISTOGRAM SPATIAL MEASURES by I. A. Baryskievic

“…A fast iterative algorithm of object detection in video sequence is proposed. It is based on local histogram properties and SPSO adaptation to image singularities. …”
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Successful Treatment of Bladder Fungus Ball Due to Candida auris With Systemic/Local Amphotericin B and Surgical Excision by Yağmur Erkol Yilmaz, Merve Havan, Eda Eyduran, Nilay Penezoğlu, Duygu Öcal, Serap Teber, Ergin Çiftçi, Yakup Tarkan Soygür, Tanıl Kendirli

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AFHNet: Attention-Free Hybrid Network for Salient Object Detection in Underwater Images by Qian Tang, Zhen Wang, Xuqi Wang, Shan-Wen Zhang

“…However, traditional machine vision and deep learning approaches face notable challenges in complex underwater environments due to issues such as light attenuation, scattering, motion blur, color distortion, noise, low contrast, and multipath effects, which severely affect detection accuracy. Furthermore, conventional up-sampling and down-sampling techniques often lead to the loss of critical local and global object information, reducing both accuracy and efficiency. …”
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Early Molecular Detection of Invasive Alien Plants in Urban and Peri-Urban Areas by Jessica Frigerio, Malika Ouled Larbi, Werther Guidi Nissim, Fabrizio Grassi, Pierluigi Cortis, Massimo Labra

“…In all mixes, only the invasive species was identified. This rapid detection capability will enable environmental operators to intervene promptly to contain the spread of invasive plants before they can cause significant damage to the local ecosystem. …”
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Measures of Dependence for α-Stable Distributed Processes and Its Application to Diagnostics of Local Damage in Presence of Impulsive Noise by Grzegorz Żak, Marek Teuerle, Agnieszka Wyłomańska, Radosław Zimroz

“…Local damage detection in rotating machinery is simply searching for cyclic impulsive signal in noisy observation. …”
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Multi-model approach for precise lesion localization and severity grading for diabetic retinopathy and age-related macular degeneration by Romana Rahman Ema, Pintu Chandra Shill

“…Driven by the potential to improve early detection and patient outcomes, this study proposes a comprehensive system for diagnosing and grading these conditions.MethodsOur approach combines image enhancement techniques, automated lesion localization, and disease severity classification. …”
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Visual automatic detection method for hydraulic support loss state at the working face by TENG Daiyu, NAN Bingfei

“…To address these issues, a visual automatic detection method for hydraulic support loss state was proposed. …”
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Modern Technologies to Detect Fungi That Cause Diseases to Agricultural Crops: A review by Teeba H. Mohammad, Zahraa A. Abed, Zahraa R. Taha

“…Infected crops are considered a poor product that negatively affects the local and international agricultural sector. Therefore, the rapid and accurate early detection of the pathogen is crucial for the crop and to avoid losses. …”
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Automatic melanoma detection using an optimized five-stream convolutional neural network by Vida Esmaeili, Mahmood Mohassel Feghhi, Hadi Seyedarabi

“…It can simultaneously classify the lesion color, lesion edges, texture features, local-spatial frequency features, and multi-oriented gradient features. …”
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YOLO-DKM: A Flame and Spark Detection Algorithm Based on Deep Learning by Linpo Shang, Xufei Hu, Zijian Huang, Qiang Zhang, Zhiyu Zhang, Xin Li, Yanzuo Chang

“…In the field of computer vision, existing fire detection algorithms often have problems such as low detection accuracy and algorithm error detection. …”
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Candidate circulating microRNAs as potential diagnostic and predictive biomarkers for the monitoring of locally advanced breast cancer patients by Alaa M Ibrahim, Mahmoud M Said, Amany M Hilal, Amina M Medhat, Ibrahim M Abd Elsalam

“…This study aimed at investigating the expression of candidate microRNAs (miRs), at initial diagnosis, during neoadjuvant chemotherapy, and after the tumor resection in locally advanced breast cancer patients. Plasma samples were collected from locally advanced breast cancer patients (n = 30) and healthy subjects (n = 20) for the detection of candidate miRs’ expression using the real-time quantitative polymerase chain reaction. …”
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Multiscale Feature Fusion for Salient Object Detection of Strip Steel Surface Defects by Li Zhang, Xirui Li, Yange Sun, Yan Feng, Huaping Guo

“…However, accurately and quickly detecting strip steel defects remains challenging due to variations in flaws, complex backgrounds, and noise interference. …”
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