The value of DHR-enzyme-linked immunosorbent assay in the diagnosis of chronic granulomatous disease by detecting NADPH oxidase complex activity by Wen Xiaohui, Zhao Shunying, Zhang Xiaoyan, Tang Xiaolei, Shen Yuelin, Liu Jinrong, Li Huimin, Liu Hui, Yang Haiming

“…The DHR-ELISA method demonstrated a specificity of 90% and a sensitivity ranging from 90.5% to 100% in detecting CGD.ConclusionThe DHR-ELISA is a rapid, easy, cost-effective, and efficient method for screening CGD, making it suitable for early diagnosis and potentially improving prognosis.…”
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A lightweight trichosanthes kirilowii maxim detection algorithm in complex mountain environments based on improved YOLOv7-tiny. by Zhongjian Xie, Xinwei Chen, Weilin Wu, Yao Xiao, Yuanhang Li, Yaya Zhang, ZhuXuan Wan, Weiqi Chen

“…Detecting Trichosanthes Kirilowii Maxim (Cucurbitaceae) in complex mountain environments is critical for developing automated harvesting systems. …”
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Target image detection algorithm of complex road scene based on improved multi-scale adaptive feature fusion technology by Xu Zhaosheng, Liao Zhongming, Xiao Xiaoyong, Ahmad Suzana, Mat Diah Norizan, Ismail Azlan

“…Current object detection algorithms are not very good at handling complex road scenes, and public datasets do not always adequately represent city traffic. …”
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HashTrie:a space-efficient multiple string matching algorithm by Ping ZHANG, Yan-bing LIU, Jing YU, Jian-long TAN

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CTL-YOLO: A Surface Defect Detection Algorithm for Lightweight Hot-Rolled Strip Steel Under Complex Backgrounds by Wenzheng Sun, Na Meng, Longfa Chen, Sen Yang, Yuguo Li, Shuo Tian

“…Currently, in the domain of surface defect detection on hot-rolled strip steel, detecting small-target defects under complex background conditions and effectively balancing computational efficiency with detection accuracy presents a significant challenge. …”
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Decision Feedback Equalization-Based Low-Complexity Interference Cancellation and Signal Detection Technique Based for Non-Orthogonal Signaling by Myung-Sun Baek, Hyoung-Kyu Song

“…To address this challenge, this paper explores a matrix computation-based interference cancellation technique tailored for FTN communication systems, aiming to significantly reduce the complexity of the ISI mitigation process. To execute ISI cancellation and signal detection more precisely, the proposed technique includes iterative interference cancellation and a signal detection process. …”
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A Novel Detection-and-Replacement-Based Order-Operator for Differential Evolution in Solving Complex Bound Constrained Optimization Problems by Sichen Tao, Sicheng Liu, Shoya Ohta, Ruihan Zhao, Zheng Tang, Yifei Yang

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Multi-scale fusion network for coal mine drill rod counting based on directional object detection in complex scenes by Fukai Zhang, Shuo Zhao, Haiyan Zhang, Yongqiang Ma, Qiang Zhang, Shaopu Wang, Wenjing Chang

“…With the advancement of intelligent mining, automated drill rod counting based on computer vision has become a crucial means to improve mining efficiency and safety. However, challenges such as dim lighting, small target sizes, diverse object perspectives, and complex visual interference in coal mine environments significantly limit the accuracy and real-time performance of existing object detection methods. …”
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Recognition of Strawberry Powdery Mildew in Complex Backgrounds: A Comparative Study of Deep Learning Models by Jingzhi Wang, Jiayuan Li, Fanjia Meng

“…These findings demonstrate that CNN models originally developed for other crop diseases can be effectively adapted to detect strawberry powdery mildew under complex conditions. …”
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Maximizing Energy Efficiency in IRS-Assisted Phase Cooperative PS-SWIPT-Based Self-Sustainable IoT Network by Haleema Sadia, Ahmad Kamal Hassan, Ziaul Haq Abbas, Ghulam Abbas, Thar Baker, Nasir Saeed

“…To overcome this challenge, intelligent reflecting surfaces (IRSs) have recently been introduced in IoT networks to improve network efficiency by controlling signal reflections. …”
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Quantitative estimation method for complex part surface defects based on multimodal information fusion by Rui Wang, Wei Du, Qingchao Jiang

“…This study proposes a multimodal defect detection system (MDDS) that merges the benefits of 2D imaging and 3D point clouds for comprehensive defect analysis on complex parts. …”
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Research on Recognition of Green Sichuan Pepper Clusters and Cutting-Point Localization in Complex Environments by Qi Niu, Wenjun Ma, Rongxiang Diao, Wei Yu, Chunlei Wang, Hui Li, Lihong Wang, Chengsong Li, Pei Wang

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A Three-Stage Cellular Automata Model of Complex Large Roundabout Traffic Flow, with a Flow-Efficiency- and Safety-Enhancing Strategy by Xiao Liang, Chuan-Zhi Thomas Xie, Hui-Fang Song, Yong-Jie Guo, Jian-Xin Peng

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A Novel Linearly Complex Extended Signed Response-Based Node Authentication Scheme for Internet of Medical Things by Muhammad Saud Khan, Muhammad Sardaraz, Muhammad Tahir, Abdullah Alourani

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An Efficient Model for Leafy Vegetable Disease Detection and Segmentation Based on Few-Shot Learning Framework and Prototype Attention Mechanism by Tong Hai, Yuxin Shao, Xiyan Zhang, Guangqi Yuan, Ruihao Jia, Zhengjie Fu, Xiaohan Wu, Xinjin Ge, Yihong Song, Min Dong, Shuo Yan

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OptWake-YOLO: a lightweight and efficient ship wake detection model based on optical remote sensing images by Runxi Qiu, Nan Bi, Chaoyue Yin

“…ADFFN's adaptive multi-scale fusion. SLODH's efficient detection architecture. Ablation studies confirm each component's contribution to balancing accuracy and efficiency for real-time wake detection.…”
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UCA-YOLOv8n: a real-time and efficient fruit chunks detection algorithm for meal-assistance robot by Fei Liu, Mingyue Hu

“…Furthermore, the coordinate attention (CA) mechanism has been incorporated into the detection head to enhance the focus on fruit chunk regions within complex backgrounds while suppressing irrelevant features, thus improving detection performance. …”
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Smart Defect Detection in Aero-Engines: Evaluating Transfer Learning with VGG19 and Data-Efficient Image Transformer Models by Samira Mohammadi, Vahid Rahmanian, Sasan Sattarpanah Karganroudi, Mehdi Adda

“…We conclude that the difference in performance across all metrics can be attributed to the adoption of the transformer-based architecture by the DeiT model as it does this well in capturing complex patterns in data. This research demonstrates that transformer models hold promise for improving the accuracy and efficiency of defect detection within the aerospace industry, which will, in turn, contribute to cleaner and more sustainable aviation activities.…”
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Efficient Distributed Denial of Service Attack Detection in Internet of Vehicles Using Gini Index Feature Selection and Federated Learning by Muhammad Dilshad, Madiha Haider Syed, Semeen Rehman

“…Our approach is both effective and efficient for detecting DDoS attacks in IoV environments.…”
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Conv1D-GRU-Self Attention: An Efficient Deep Learning Framework for Detecting Intrusions in Wireless Sensor Networks by Kenan Honore Robacky Mbongo, Kanwal Ahmed, Orken Mamyrbayev, Guanghui Wang, Fang Zuo, Ainur Akhmediyarova, Nurzhan Mukazhanov, Assem Ayapbergenova

“…To address this, the objective of this research is to design and evaluate a deep learning-based Intrusion Detection System (IDS) that is both accurate and efficient for real-time threat detection in WSNs. …”
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