Distinguishing Difficulty Imbalances in Strawberry Ripeness Instances in a Complex Farmland Environment by Yang Gan, Xuefeng Ren, Huan Liu, Yongming Chen, Ping Lin

“…The existing strawberry ripeness detection algorithm has the problems of a low precision and a high missing rate in real complex scenes. …”
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Phish Fighter: Self Updating Machine Learning Shield Against Phishing Kits Based on HTML Code Analysis by Gabriela Brezeanu, Alexandru Archip, Codrut-Georgian Artene

“…This paper proposes a novel approach for identifying phishing web pages built on phishing kits and, consequently, detecting such attack attempts. Our method, Phish Fighter, analyzes the HTML code structure, focusing on recurring blocks across different phishing pages derived from the same source. …”
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A lightweight Xray-YOLO-Mamba model for prohibited item detection in X-ray images using selective state space models by Kai Zhao, Shufan Peng, Yujin Li, Tianliang Lu

“…Abstract X-ray image-based prohibited item detection plays a crucial role in modern public security systems. …”
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Design and Evaluation of a Cloud Computing System for Real-Time Measurements in Polarization-Independent Long-Range DAS Based on Coherent Detection by Abdusomad Nur, Almaz Demise, Yonas Muanenda

“…We employ the CloudSim tool to design and evaluate a cloud computing scheme for long-range, polarization-independent DAS using coherent detection of Rayleigh backscattering signals and uncover valuable insights on the evolution of the processing times for a diverse range of Virtual Machine (VM) capacities as well as sizes of blocks of processed data. …”
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A clinical case of bronchoscopic detection and removal of a foreign body from the upper lobar bronchus on the right mimicking lung cancer by L. V. Telegina, S. S. Pirogov, T. I.-A. Tazabaev, V. E. Khoronenko, A. S. Vodoleev, E. S. Karpova

“…Clinical manifestations include hemoptysis among other signs which requires the examination to detect tuberculosis and lung cancer. The article describes a clinical case that demonstrates the possibilities of endoscopic diagnostics and treatment in the patient with an X-ray negative foreign body (a cigarette filter) that has been in the lumen of the upper lobar bronchus of the right lung for a long time which caused inflammation in the blocked lobe and mimicking endoscopically central lung cancer.…”
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Comparison of magnetic bead and rapid swab RNA extraction methods for detecting rabbit hemorrhagic disease virus 2 in rabbit liver samples by Erik Hofmeister, Kathryn Griffin, Hon Ip

“…We compared a bead RNA extraction method with a one-tube method that required only a heat block and ice. RNA was first extracted from liver samples from nine rabbits dying from rabbit hemorrhagic disease virus 2 (RHDV2) using magnetic beads, and RT-PCR was used to detect RHDV2 sequence. …”
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DRR-YOLO: A Study of Small Target Multi-Modal Defect Detection for Multiple Types of Insulators Based on Large Convolution Kernel by Mingming Hu, Jun Liu, Junfu Liu

“…Firstly, a new module DRR is proposed based on Dilated Re-param Block (DRB) and Dilation-wise Residual (DWR), which is combined with the C2f module of the YOLOv8 model to enhance the model’s detection effect for targets at different scales; Secondly, the Large Separable Kernel Attention SPPF (LSPPF) module is proposed to replace the SPPF in the original model, which enables the model to better preserve the feature information of the target while streamlining the structure; In addition, the advantages of MPDIoU and Inner-IoU are combined, and the loss function of the original model is replaced with Inner-MPDIoU. …”
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CFRANet: Cross-Modal Frequency-Responsive Attention Network for Thermal Power Plant Detection in Multispectral High-Resolution Remote Sensing Images by Qinxue He, Bo Cheng, Xiaoping Zhang, Yaocan Gan

“…Many traditional approaches focus on detecting compact, small-scale objects, while existing composite object detection methods are mostly part-based, limiting their ability to capture the structural and textural characteristics of composite targets like TPPs. …”
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HiDRA-DCDNet: Dynamic Hierarchical Attention and Multi-Scale Context Fusion for Real-Time Remote Sensing Small-Target Detection by Jiale Wang, Zhe Bai, Ximing Zhang, Yuehong Qiu, Fan Bu, Yuancheng Shao

“…Small-target detection in remote sensing presents three fundamental challenges: limited pixel representation of targets, multi-angle imaging-induced appearance variance, and complex background interference. …”
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Object-Level Contrastive-Learning-Based Multi-Branch Network for Building Change Detection from Bi-Temporal Remote Sensing Images by Shiming Li, Fengtao Yan, Cheng Liao, Qingfeng Hu, Kaifeng Ma, Wei Wang, Hui Zhang

“…Buildings are fundamental elements of human environments, and detecting changes in them is crucial for land cover studies, urban expansion monitoring, and the detection of illegal construction activities. …”
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Precision Weed Management for Straw-Mulched Maize Field: Advanced Weed Detection and Targeted Spraying Based on Enhanced YOLO v5s by Xiuhong Wang, Qingjie Wang, Yichen Qiao, Xinyue Zhang, Caiyun Lu, Chao Wang

“…Through model test and spraying experiments, the results demonstrated that while the model exhibited a 0.9% decrease in average detection accuracy for weeds, it achieved an 8.46% increase in detection speed, with model memory and computational load reduced by 50.36% and 53.16%, respectively. …”
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An innovative deep learning framework for skin cancer detection employing ConvNeXtV2 and focal self-attention mechanisms by Burhanettin Ozdemir, Ishak Pacal

“…This study proposes a novel lightweight and mobile-friendly hybrid model that combines ConvNeXtV2 blocks and focal self-attention mechanisms, addressing challenges such as data imbalance and model complexity. …”
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Enhanced Recovery and Detection of Highly Infectious Animal Disease Viruses by Virus Capture Using Nanotrap^® Microbiome A Particles by Amaresh Das, Joseph Gutkoska, Yadata Tadassa, Wei Jia

“…Virus capture from EWB was partially blocked, most likely by hemoglobin (HMB), which also binds NMAPs and outcompetes the viruses. …”
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Detection of staphylococcal enterotoxins A and B in cow milk using antigen capture enzyme-linked immunosorbent assay and dot-blot assays by Hidayatun Nisa Purwanasari, Siti Isrina Oktavia Salasia, Fatkhanuddin Aziz, Rini Widayanti, Madarina Wasissa

“…These toxins in raw milk pose a risk to public health, necessitating accurate and rapid detection methods. This study aimed to develop and evaluate two immunoassays – antigen capture enzyme-linked immunosorbent assay (AC-ELISA) and dot-blot assay – for detecting SEA and SEB in cow milk. …”
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Deep Learning-Based Seedling Row Detection and Localization Using High-Resolution UAV Imagery for Rice Transplanter Operation Quality Evaluation by Yangfan Luo, Jiuxiang Dai, Shenye Shi, Yuanjun Xu, Wenqi Zou, Haojia Zhang, Xiaonan Yang, Zuoxi Zhao, Yuanhong Li

“…This study proposes a CAD-UNet model for detecting rice seedling rows based on low altitude orthorectified remote sensing images, and uses evaluation indicators such as straightness and parallelism of seedling rows to evaluate the operation quality of the rice transplanter. …”
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Identification of Ground Fissures in Mining Areas from UAV Images Based on RDC-UNet by Zhu Huashan

“…Traditional geological exploration methods are inefficient and costly, making the precise detection of large-scale fissures difficult. Deep learning methods using unmanned aerial vehicle (UAV) images have become a popular approach for fissure detection, although challenges such as insufficient accuracy and poor adaptability in complex backgrounds remain. …”
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Comparative analysis of asbestos body and fiber content in formalin-fixed vs. paraffin-embedded lung tissue by Barbara K. Kuhn, Bart Vrugt, Bart Vrugt, Alex Low, Julie E. Goodman, Richard Attanoos

“…The limits of detection were higher in paraffin blocks than in formalin-fixed tissue. …”
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First Serologic Analysis of Antibodies Against African Swine Fever Virus Detected in Domestic Pig Farms in South Korea from 2019 to 2024 by Seong-Keun Hong, Mugyeom Moon, Ki-Hyun Cho, Hae-Eun Kang, Jong-Soo Lee, Yeon-Hee Kim

“…Results: Antibodies were first detected in Hwacheon in 2020, but by 2024, only 1.43% of pigs had detectable antibodies against ASFV. …”
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An Energy-Efficient Small-Cell Operation Algorithm for Ultra-Dense Cellular Networks by MD. Mehedi Hasan, MD. Shayanul Haq, MD. Maruf Hossain, Junaed Kiron Tiash, Sungoh Kwon

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TFDense-GAN: a generative adversarial network for single-channel speech enhancement by Haoxiang Chen, Jinxiu Zhang, Yaogang Fu, Xintong Zhou, Ruilong Wang, Yanyan Xu, Dengfeng Ke

“…For the speech enhancement methods in the time–frequency domain, the introduction of attention mechanisms and the application of DenseBlock have yielded promising results. In particular, the Unet architecture, which comprises three main components, the encoder, the decoder, and the bottleneck, employs DenseBlock in both the encoder and the decoder to achieve powerful feature fusion capabilities with fewer parameters. …”
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