Development of Immunoassays for Foodborne Pathogenic Bacteria Detection Using PolyHRP for Signal Enhancement by Yijia Zhang, Junkang Pan, Qiyi He, Zhihao Xu, Bruce D. Hammock, Dongyang Li

“…Systematic optimization was performed on key parameters, including the capture antibody concentration, detection antibody, and blocking agent. Compared to the method using SA-HRP, substitution with SA-PolyHRP significantly improved detection sensitivity, achieving limits of detection (LODs) of 1.4 × 10⁴ CFU/mL for <i>E. coli</i> O157:H7 and 6.0 × 10³ CFU/mL for <i>S. …”
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IP SafeGuard&#x2013;An AI-Driven Malicious IP Detection Framework by Abdullah Al Siam, Moutaz Alazab, Albara Awajan, Md Rakibul Hasan, Areej Obeidat, Nuruzzaman Faruqui

“…Experimental findings indicate the improved performance of IP SafeGuard, with an accuracy of 98.2%, a precision of 97.8%, and a recall of 98.5%. The average detection duration of 45 milliseconds makes it appropriate for real-time SOC integration, enabling automated incident response through Security Information and Event Management (SIEM) alerting and firewall blocking. …”
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Development and evaluation of optimized PCR and indirect ELISA for the detection of Morganella morganii in dairy cows by Meihua Zhang, Jiayi Li, Jianfeng Xue, Huiling Xu, Muzi Li, Yibo Xia, Changxi Qi, Pu Zhang, Yongxia Liu, Jianzhu Liu

“…To mitigate this risk, rapid and reliable diagnostic methods for detection are essential. Currently, detection methods for M. morganii are underdeveloped, prompting us to develop both pathogenic and serological detection methods, including an optimized PCR technique and an indirect enzyme-linked immunosorbent assay (I-ELISA).MethodsThe optimized PCR method utilized bacterial suspensions directly as templates, bypassing the need for DNA extraction and thereby allowing the direct detection of M. morganii in fecal samples. …”
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A Triple Self-Embedding Fragile Watermarking Scheme for Image Tamper Detection and Recovery by Huseyin Ozkaya, Veysel Aslantas

“…This paper presents a new triple self-embedding fragile watermarking technique for image tamper detection and recovery. This approach divides the host image into non-overlapping regions according to the block map and further divides each region into <inline-formula> <tex-math notation="LaTeX">$5\times 5$ </tex-math></inline-formula> non-overlapping blocks. …”
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Development and Validation of Protein Microarray Technology for Simultaneous Inflammatory Mediator Detection in Human Sera by Senthooran Selvarajah, Ola H. Negm, Mohamed R. Hamed, Carolyn Tubby, Ian Todd, Patrick J. Tighe, Tim Harrison, Lucy C. Fairclough

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Fault detection algorithm for underground conveyor belt deviation based on improved RT-DETR by AN Longhui, WANG Manli, ZHANG Changsen

“…Current research on conveyor belt deviation detection mainly focuses on extracting the straight-line features of belt edges. …”
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B-LMMSE-PIC iterative detection method for OTSM in high-speed mobile environment by LI Guojun, ZHENG Xiang, WANG Jie

“…To improve the reliability of orthogonal time sequency multiplexing (OTSM) transmission in high-speed mobile environments, a block linear minimum mean square error with parallel interference cancellation (B-LMMSE-PIC) iterative detection method was proposed. …”
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Medical Image Watermarking Technique for Accurate Tamper Detection in ROI and Exact Recovery of ROI by R. Eswaraiah, E. Sreenivasa Reddy

“…In this paper, we propose a novel fragile block based medical image watermarking technique to avoid embedding distortion inside ROI, verify integrity of ROI, detect accurately the tampered blocks inside ROI, and recover the original ROI with zero loss. …”
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Automatic Detection and Calculation of Mining Subsidence in Large-Scale Interferograms With Transformer-CNN Model by Hongdong Fan, Jialin Xin, Tao Lin, Jun Wang

“…Subsequently, the Residual Convolution Block and Swin Transformer Block were adopted as the fundamental building blocks of the model architecture to develop RAUNet, a synergistic network designed for detecting and calculating wide-area mining subsidence zones. …”
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Enhancing the YOLOv8 model for realtime object detection to ensure online platform safety by Mohammed Kawser Jahan, Fokrul Islam Bhuiyan, Al Amin, M. F. Mridha, Mejdl Safran, Sultan Alfarhood, Dunren Che

“…Our key contributions include enhancing the cross-stage partial fusion blocks and incorporating three additional convolutional blocks into the model head, leading to better feature extraction and detection capabilities. …”
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FEMNet: A Feature-Enriched Mamba Network for Cloud Detection in Remote Sensing Imagery by Weixing Liu, Bin Luo, Jun Liu, Han Nie, Xin Su

“…Accurate and efficient cloud detection is critical for maintaining the usability of optical remote sensing imagery, particularly in large-scale Earth observation systems. …”
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DSR-YOLO: A lightweight and efficient YOLOv8 model for enhanced pedestrian detection by Mustapha Oussouaddi, Omar Bouazizi, Aimad El mourabit, Zine el Abidine Alaoui Ismaili, Yassine Attaoui, Mohamed Chentouf

“…Built on the lightweight YOLOv8n architecture, it incorporates DCNv4 modules to enhance the detection rates and reduce missed detections by effectively learning key pedestrian features. …”
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SCASNet: Spatial Context-Aware Selection Network for Small Object Detection in Aerial Imagery by Zhenkuan Wang, Xue-Mei Dong, Yongli Xu

“…The detection of small objects within intricate backgrounds poses a significant challenge in the domain of aerial image object detection. …”
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A Cross-Fusion Network for Salient Object Detection in Optical Remote Sensing Images by Weining Zhai, Panpan Zheng, Liejun Wang

“…Within MECNet, the multiview combination block employs an attention-based approach to capture rich contextual information across scales, aiding in the detection of various-sized objects. …”
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A Lightweight Pavement Defect Detection Algorithm Integrating Perception Enhancement and Feature Optimization by Xiang Zhang, Xiaopeng Wang, Zhuorang Yang

“…To address the current issue of large computations and the difficulty in balancing model complexity and detection accuracy in pavement defect detection models, a lightweight pavement defect detection algorithm, PGS-YOLO, is proposed based on YOLOv8, which integrates perception enhancement and feature optimization. …”
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FM-Net: Frequency-Aware Masked-Attention Network for Infrared Small Target Detection by Yongxian Liu, Zaiping Lin, Boyang Li, Ting Liu, Wei An

“…Infrared small target detection (IRSTD) aims to locate and separate targets from complex backgrounds. …”
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A lightweight fabric defect detection with parallel dilated convolution and dual attention mechanism by Zheqing Zhang, Kezhong Lu, Gaoming Yang

“…To increase detection efficiency, a variety of automatic fabric defect detections have been developed. …”
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Enhanced Object Detection in Thangka Images Using Gabor, Wavelet, and Color Feature Fusion by Yukai Xian, Yurui Lee, Te Shen, Ping Lan, Qijun Zhao, Liang Yan

“…Thangka image detection poses unique challenges due to complex iconography, densely packed small-scale elements, and stylized color–texture compositions. …”
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Fault Detection in Induction Machines Using Learning Models and Fourier Spectrum Image Analysis by Kevin Barrera-Llanga, Jordi Burriel-Valencia, Angel Sapena-Bano, Javier Martinez-Roman

“…This analysis introduces a new approach by demonstrating how different convolutional blocks capture particular features: the first convolutional block captures signal shape, while the second identifies background features. …”
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Dim and Small Target Detection Based on Local Energy Aggregation Degree of Sequence Images by Fan Xiangsuo, Xu Zhiyong

“…In order to improve the detection ability of dim and small targets in dynamic scenes, this paper first proposes an anisotropic gradient background modeling method combined with spatial and temporal information and then uses the multidirectional gradient maximum of neighborhood blocks to segment the difference maps. …”
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