DSNAODV: Detecting Selfish Nodes based on Ad hoc On-demand Distance Vector routing protocol by Mahboubeh Vanday Baseri, Marjan Kuchaki Rafsanjani

“…Forwarding packets consumes network bandwidth, local CPU time, memory, and energy. Therefore, some nodes might intend not to forward packets to save resources for their use that called selfish nodes. …”
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Delamination Detection in CFRP Stringers with A₀-Mode Lamb Wave Curvature by Gaozheng Zhao, Yike Zeng, Zhenyang Yu, Kaihua Sun, Jian Chen

“…Then, the wavefield curvature sensitive to local anomalies is revealed owing to the higher-order derivative nature. …”
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MA-YOLO: A Pest Target Detection Algorithm with Multi-Scale Fusion and Attention Mechanism by Yongzong Lu, Pengfei Liu, Chong Tan

“…Agricultural pest detection is critical for crop protection and food security, yet existing methods suffer from low computational efficiency and poor generalization due to imbalanced data distribution, minimal inter-class variations among pest categories, and significant intra-class differences. …”
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CGFL: A Robust Federated Learning Approach for Intrusion Detection Systems Based on Data Generation by Shu Feng, Luhan Gao, Leyi Shi

“…It employs a data generator that integrates artificially generated data with the existing data from local clients by employing label correction and data generation techniques. …”
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A Fuzzy-Based Model to Detect Hotspots of Air Pollutants During Heatwaves in Urban Settlements by Barbara Cardone, Ferdinando Di Martino, Cristiano Mauriello, Vittorio Miraglia

“…For this reason, in this research, we propose a fuzzy-based method for detecting air pollutant hotspots and determining critical urban areas for air pollution during heatwaves. …”
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Cross-modal interactive and global awareness fusion network for RGB-D salient object detection. by Runqing Li, Ling Yu, Zijian Jiang, Fanglin Niu

“…In this study, a Cross-modal Interactive and Global Awareness Fusion Network for RGB-D Salient Object Detection, named CIGNet, is proposed. Specifically, convolutional neural networks (CNNs), which are good at extracting local details, and an attention mechanism, which efficiently integrates global information, are utilized to design two fusion methods for RGB and depth images. …”
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Building Change Detection Network Based on Multilevel Geometric Representation Optimization Using Frame Fields by Fachuan He, Hao Chen, Shuting Yang, Zhixiang Guo

“…To address the challenges of accurately segmenting irregular building boundaries in complex urban environments faced by existing remote sensing change detection methods, this paper proposes a building change detection network based on multilevel geometric representation optimization using frame fields called BuildingCDNet. …”
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Detection of Small-Sized Electronics Endangering Facilities Involved in Recycling Processes Using Deep Learning by Zizhen Liu, Shunki Kasugaya, Nozomu Mishima

“…In Japan, local governments implore residents to remove the batteries from small-sized electronics before recycling them, but some products still contain lithium-ion batteries. …”
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Protocol for detecting oral squamous cell carcinoma in histopathology images using the momentum contrast framework by Xiaoyun Zhang, Yue Fang, Weibin Liao, Junyi Ma, Xin Gao, Min Gao, Junfeng Zhao

“…Here, we present a protocol for detecting OSCC in histopathology images using transfer learning. …”
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An Experimental Assessment Using Acoustic Emission Sensors to Effectively Detect Surface Deterioration on Steel Plates by Nikolaos Angelopoulos, Vassilios Kappatos

“…During operation, the environmental and loading conditions of metal structures can result in corrosion and surface wear damage. The early detection of surface degradation flaws is crucial, as they can serve as local stress concentration points, leading to crack initiation and failure. …”
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Molecular Detection of CRISPR-Cas System in Staphylococcus epidermidis Isolated from Different Sources in Iraq by Thuraya Hashosh et al

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Enhancing Smart Home Security: Blockchain-Enabled Federated Learning with Knowledge Distillation for Intrusion Detection by Mohammed Shalan, Md Rakibul Hasan, Yan Bai, Juan Li

“…This study addresses these challenges by presenting a federated learning framework enhanced with blockchain technology to detect intrusions in smart home environments. The proposed approach combines knowledge distillation and transfer learning to support heterogeneous IoT devices with varying computational capacities, ensuring efficient local training without compromising privacy. …”
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IR-ADMDet: An Anisotropic Dynamic-Aware Multi-Scale Network for Infrared Small Target Detection by Ning Li, Daozhi Wei

“…This network effectively synergizes local residual learning with global context modeling. …”
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ATDMNet: Multi-Head Agent Attention and Top-k Dynamic Mask for Camouflaged Object Detection by Rui Fu, Yuehui Li, Chih-Cheng Chen, Yile Duan, Pengjian Yao, Kaixin Zhou

“…Camouflaged object detection (COD) encounters substantial difficulties owing to the visual resemblance between targets and their environments, together with discrepancies in multiscale representation of features. …”
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Research on UAV Conflict Detection and Resolution Based on Tensor Operation and Improved Differential Evolution Algorithm by Zhichong Zhou, Guhao Zhao, Yiru Jiang, Yarong Wu, Jiale Yang, Lingzhong Meng

“…With the widespread application of unmanned aerial vehicles (UAVs) in civilian and military fields, how to effectively detect and resolve conflicts of large-volume and high-density UAV flights in local airspace has become an important issue. …”
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DFC-Net: Dual-Branch Collaborative Feature Enhancement for Cloud Detection in Remote Sensing Images by Wanting Zhou, Yan Mo, Qiaofeng Ou, Shaowei Bai

“…High-precision cloud detection is crucial for the interpretation of remote sensing images. …”
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Two-Stage Efficient Parking Space Detection Method Based on Deep Learning and Computer Vision by Junzhe Jiang, Rongnian Tang, Weian Kang, Zengcai Xu, Cheng Qian

“…However, the existing detection systems are often too complicated, resulting in a long detection time. …”
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Beyond the Grid: GLRT-Based TomoSAR Fast Detection for Retrieving Height and Thermal Dilation by Nabil Haddad, Karima Hadj-Rabah, Alessandra Budillon, Gilda Schirinzi

“…One way to address these issues is through statistical detection approaches such as the Generalized Likelihood Ratio Test, which ensures a Constant False Alarm Rate. …”
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Infrared object detection for robot vision based on multiple focus diffusion and task interaction alignment by Jixu Zhang, Li Wang, Hung-Wei Li, Meng-Yen Hsieh, Shunxiang Zhang, Hua Wen, Meng Chen

“…Infrared object detection plays a key role in tasks such as autonomous robot navigation, industrial inspection, and search and rescue. …”
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Dual S-100-AE1/3 Immunohistochemistry to Detect Perineural Invasion in Nonmelanoma Skin Cancers by Alma C. Berlingeri-Ramos, Claire J. Detweiler, Richard F. Wagner, Brent C. Kelly

“…Perineural invasion (PNI) is an adverse prognostic histologic finding and increases the risk of local recurrence and metastasis. Objective. We aimed to determine if dual immunohistochemical (IHC) staining with S-100 and AE1/3 would increase the detection of PNI on nonmelanoma skin cancers (NMSCs). …”
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