Comparison of Different Methods for Detecting Carbapenemase Types in Enterobacterales Species by Cisil Seyma Ozel Davulcu, Alper Akcali

“…The combination disk test also offers a reliable alternative for detecting carbapenemase production, particularly when considering local resistance patterns.…”
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Unsupervised selective labeling for semi-supervised industrial defect detection by Jian Ge, Qin Qin, Shaojing Song, Jinhua Jiang, Zhiwei Shen

“…In industrial detection scenarios, achieving high accuracy typically relies on extensive labeled datasets, which are costly and time-consuming. …”
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Remote Sensing Change Detection by Pyramid Sequential Processing With Mamba by Jiancong Ma, Bo Li, Hanxi Li, Siying Meng, Ruitao Lu, Shaohui Mei

“…Change detection (CD) in remote sensing imagery is crucial for monitoring environmental variations over time. …”
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Detection-Oriented Evaluation of SAR Dexterous Barrage Jamming Effectiveness by Hai Zhu, Sinong Quan, Shiqi Xing, Haoyu Zhang, Yun Ren

“…Starting from the detection, it divides the evaluation process into two stages: (1) for the case in which the target can be detected under the jamming scenario, two feature parameters, namely, the target exposion area and target relative magnitude, are extracted; (2) for the case in which the target cannot be detected under the jamming scenario, another three feature parameters, namely, jamming relative magnitude, average edge brightness, and local information entropy, are extracted. …”
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The History of Breast Cancer Early Detection: 1865 – 2020 by Gump FE, Parmar P, Feldman S, Gupta AM

“…This review illustrates how these advances have led to the incremental acceptance of Fisher’s hypothesis and recognition that invasive cancer cannot be equated with localized disease, regardless of how early it might be detected.Keywords: early detection of breast cancer, Bernard Fisher, Halsted, mammography, liquid biopsy, circulating tumor cells…”
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Edge-Assisted Label-Flipping Attack Detection in Federated Learning by Nourah S. AlOtaibi, Muhamad Felemban, Sajjad Mahmood

“…In LFA, malicious clients deliberately mislabel local data, causing the global model to misclassify certain classes, thus undermining its integrity. …”
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A Detection Method With Antiinterference for Infrared Maritime Small Target by Xun Zhang, Aiyu Wang, Yan Zheng, Suleman Mazhar, Yasheng Chang

“…In this article, a novel infrared maritime small target detection method, called local dissimilarity measure with anti-interference based on global graph clustering (LDMGGC), is proposed. …”
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Recent Advancement in Small Traffic Sign Detection: Approaches and Dataset by R. Suresha, N. Manohar, G. Ajay Kumar, M. Rohit Singh

“…Detecting small traffic signs is essential for autonomous vehicles (AV) to operate safely, adhere to traffic regulations, navigate effectively, maintain situational awareness, adapt to local conditions, and overcome the technical challenges associated with diverse environments. …”
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Polarization of road target detection under complex weather conditions by Feng Huang, Junlong Zheng, Xiancai Liu, Ying Shen, Jinsheng Chen

“…This module integrates channel-wise global self-attention and small kernel convolution to adaptively adjust the polarization enhancement method using dynamically extracted global and local polarization feature information. A multi-scale detection network is also designed to fully extract and fuse multi-scale feature information from receptive fields, channels, and spaces in different dimensions. …”
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Detection of Movement and Lead-Popping Artifacts in Polysomnography EEG Data by Nishanth Anandanadarajah, Amlan Talukder, Deryck Yeung, Yuanyuan Li, David M. Umbach, Zheng Fan, Leping Li

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Robotic arm target detection algorithm combined with deep learning by ZHANG Lei, ZHANG Wang, YUAN Yuan

“…To address these problems, an improved YOLOv5 target detection algorithm was proposed. First, the ShfflenetV2 module was integrated into the YOLOv5 backbone network to replace the original focus module and cross-level local dark grid network to achieve lightweight network. …”
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A road lane detection approach based on reformer model by Dan Li, Zan Yang, Wei Nai, Yidan Xing, Ziyu Chen

“…At present, road lane detection methods based on Transformer model are currently considered to be most effective and accurate; however, Transformer model-based road lane detection methods still have their own drawbacks, like high computational complexity of attention mechanisms and defects in activation function and loss functions. …”
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Randomization-Driven Hybrid Deep Learning for Diabetic Retinopathy Detection by A. M. Mutawa, G. R. Hemalakshmi, N. B. Prakash, M. Murugappan

“…This study pioneers an innovative framework, using Multi-Scale Discriminative Robust Local Binary Pattern (MS-DRLBP) features, combined with a hybrid Convolutional Neural Network-Radial Basis Function (CNN-RBF) classifier, to enhance the detection of DR. …”
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An Efficient Group Convolution and Feature Fusion Method for Weed Detection by Chaowen Chen, Ying Zang, Jinkang Jiao, Daoqing Yan, Zhuorong Fan, Zijian Cui, Minghua Zhang

“…Weed detection is a crucial step in achieving intelligent weeding for vegetables. …”
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Comparative Analysis of Perturbation Techniques in LIME for Intrusion Detection Enhancement by Mantas Bacevicius, Agne Paulauskaite-Taraseviciene, Gintare Zokaityte, Lukas Kersys, Agne Moleikaityte

“…The growing sophistication of cyber threats necessitates robust and interpretable intrusion detection systems (IDS) to safeguard network security. …”
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Detection of hydrophobicity grade of insulators based on AHC-YOLO algorithm by Shaotong Pei, Weiqi Wang, Peng Wu, Chenlong Hu, Haichao Sun, Keyu Li, Mianxiao Wu, Bo Lan

“…To address this issue, this paper proposes a YOLO algorithm for the precise detection of composite insulator hydrophobicity. The algorithm integrates a high-performance GPU network (HGNetv2), a mixed local channel attention mechanism (MLCA), lightweight convolution (CSPPC), and the Inner-WIoU loss function, significantly reducing the network’s burden and improving the accuracy of recognizing composite insulator sheds and classifying their hydrophobicity levels. …”
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Detection method for dangerous behaviors of underground coal mine personnel by ZHANG Xuhui, YU Henghan, DU Yuyang, YANG Wenjuan, ZHAO Yihui, WAN Jicheng, WANG Yanqun, ZHAO Dian, TANG Duwei

“…The standard convolution was replaced with a hybrid DCNv4-PConv module, which combines the DCNv4 network and the deformable capability of the PConv module. In addition, a Mixed Local Channel Attention (MLCA) module was integrated into the structure, and the detection head was replaced with a Receptive-Field Attention Convolution (RFAConv) module. …”
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Optimizing Monkeypox Lesions Detection With a Lightweight Hybrid Model by Mehdhar S. A. M. Al-Gaashani, Reem Ibrahim Alkanhel, Dina S. M. Hassan, Abduljabbar S. Ba Mahel, Ahmed Aziz, Mashael M. Khayyat, Ammar Muthanna

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Local laser fluence estimation in optical resolution optoacoustic angiography employing calibrated ultrasound detector by Daria Voitovich, Alexey Kurnikov, Anna Orlova, Aleksej Petushkov, Liubov Shimolina, Anastasia Komarova, Marina Shirmanova, Yu-Hang Liu, Daniel Razansky, Pavel Subochev

“…Despite these important advantages, maintaining safe laser fluence levels is essential to prevent tissue damage while ensuring sufficient detection sensitivity. Here, we introduce a model that directly relates the detector’s noise-equivalent pressure (NEP) to the local laser fluence at the imaged blood vessel. …”
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Enhanced Method for Localization of Partial Discharges in Oil-Filled Transformers Using Acoustic Emission Signals by Yasutomo Otake, Kunihiko Tajiri

“…Acoustic emission (AE) sensing, less susceptible to external electromagnetic interference, offers non-invasive PD detection. This paper investigates the relationship between AE detection intensity, PD source type, and distance using AE sensors. …”
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