TWO-PARAMETER IRT MODEL APPLICATION TO ASSESS PROBABILISTIC CHARACTERISTICS OF PROHIBITED ITEMS DETECTION BY AVIATION SECURITY SCREENERS by A. K. Volkov, D. V. Aidarkin, A. K. Volkov

“…The main drawback is the complexity of ICAO recommendations implementation concerning taking into account of shadow x-ray image complexity factors during preparation and evaluation of prohibited items detection efficiency by aviation security screeners. …”
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A new three-dimensional mesh modeling method for geological bodies containing complex faults in geological engineering by Wenli Gao, Xinming Lu, Shengzhe Hou, Tianyu Zhang, Wenting Liu

“…This strategy transforms the integration of complex three-dimensional models into a triangulation problem for simple two-dimensional polygons, ensuring topologically consistent and computationally efficient merging. …”
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FCA-YOLO: An Efficient Deep Learning Framework for Real-Time Monitoring of Stored-Grain Pests in Smart Warehouses by Hongyi Ge, Jing Wang, Tong Zhen, Zhihui Li, Yuhua Zhu, Quan Pan

“…Stored wheat pests threaten food quality and economic returns, yet existing detection methods struggle with small-object detection, complex scenarios, and efficiency–accuracy trade-offs, largely due to the lack of high-quality datasets. …”
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MEFA-Net: Multilevel Feature Extraction and Fusion Attention Network for Infrared Small-Target Detection by Jingcui Ma, Nian Pan, Dengyu Yin, Di Wang, Jin Zhou

“…Infrared small-target detection encounters significant challenges due to a low image signal-to-noise ratio, limited target size, and complex background noise. …”
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Hybrid Deep Learning Approach for Accurate Detection and Multiclass Classification of Broken Conductor Faults in Power Distribution Systems by Firas Saadoon Mohammed Al-Jumaili, Mustafa Onat

“…The developed CVNN framework was built with TensorFlow’s Sequential API, which provided efficient computing of complex-valued inputs and weights and, thus, the proper handling of the intricate signals often encountered in power systems. …”
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GhostConv+CA-YOLOv8n: a lightweight network for rice pest detection based on the aggregation of low-level features in real-world complex backgrounds by Fei Li, Yang Lu, Qiang Ma, Shuxin Yin, Rui Zhao

“…Deep learning models for rice pest detection often face performance degradation in real-world field environments due to complex backgrounds and limited computational resources. …”
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Prediction of sediment-water partition coefficients for pesticides in real river based on energy lattice points by Zhoubing Huang, Zhenqin Zhao, He Yu, Lu Sun, Dali Sun, Jianzhong Cheng, Qinghai Zhang, Chaoxuan Liao

“…Predicting the sorption coefficients of pesticides in the real environment is a complex and challenging task. …”
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Ecological network construction and community resilience analysis of nocturnal birds: a case study of Hangzhou City, Zhejiang Province, China by Yang Jin, Mingkan Zhang, Danying Yan, Kun Li, Chao Zhou, Xi Chen

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A Lightweight Semantic- and Graph-Guided Network for Advanced Optical Remote Sensing Image Salient Object Detection by Jie Liu, Jinpeng He, Huaixin Chen, Ruoyu Yang, Ying Huang

“…To further efficiently aggregate multi-level features and preserve the integrity and complexity of overall object shape, we introduce a Graph-Based Region Awareness Module (GRAM). …”
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GA4RF: An Effective Fall Detection System Through Optimizing Random Forest Hyperparameters Using Genetic Algorithm With Mobile Sensor Data by Ha-Nam Nguyen, Hong-Lam Le, Ngo-Thi-Thu-Trang, Duc-Nhan Nguyen

“…Additionally, we select a chromosome structure focusing on three hyperparameters to effectively narrow the search space, reducing computational complexity while maintaining high detection performance. …”
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Orthogonal Frequency Division Multiplexing With Generalized Joint Index Modulation by Zeng Hu, Yanke Che, Jing Wang, Xuhong Peng, Chaobo He, Dehuan Wan, Yun Liu, Ting Wu

“…In this paper, we propose a generalized joint OFDM-IM scheme, which performs joint modulation on multiple subsubblocks divided from a subblock, to achieve higher spectral efficiency (SE) and lower complexity for both modulation and detection processes. …”
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A robust in-vitro and ex-vitro Agrobacterium rhizogenes-mediated hairy root transformation system in mungbean for efficient visual screening of transformants using the RUBY reporte... by Sanjeev Kumar, Sakshi Prakash, Priti Kumari, Neeti Sanan-Mishra

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Reliability and Quality of Complex Systems by S.M. Gerashchenko, A.D. Semenov, S.I. Gerashchenko, N.V. Goryachev, I.M. Rybakov

An efficient privacy-preserving multilevel fusion-based feature engineering framework for UAV-enabled land cover classification using remote sensing images by S. Nagadevi, G. Abirami, R. Brindha, T. Prabhakara Rao, Gyanendra Prasad Joshi, Woong Cho

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Automatic model of sleep apnea detection using optimized weighted fusion process of hybrid convolution (1D/2D) efficient attention network from EEG signals by R. Nandakumar, Rajesh Arunachalam, R Pugalenthi, Karthikayen Arunachalam

“…Methods In this work, a hybrid deep learning framework for automated SA detection combines advanced feature extraction and efficient classification techniques. …”
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FECI-RTDETR a Lightweight Unmanned Aerial Vehicle Infrared Small Target Detector Algorithm Based on RT-DETR by Renzheng Xue, Shijie Hua, Haiqiang Xu

“…Addressing the challenges of small target detection in aerial infrared images from a drone’s perspective, such as diverse target scales, complex backgrounds, the clustering of small targets, and limited computational resources of the drone platform. …”
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PROPERTIES OF NETWORKS BUILT ON DIGITAL IMAGES by Oleh Kushnir, Oleksiy Kravchuk, Volodymyr Franiv

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Lightweight Dual-Backbone Detection Transformer for Infrared Insulator Detection by Boyang Zhang, Yanpeng Zhang, Liming Sun

“…To address the challenges of high computational complexity and complex background interference in infrared insulator detection systems, especially on resource-constrained devices, this study proposes a lightweight dual-backbone detection transformer (LWDB-DETR). …”
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Multi-Scale Fusion Lightweight Target Detection Method for Coal and Gangue Based on EMBS-YOLOv8s by Lin Gao, Pengwei Yu, Hongjuan Dong, Wenjie Wang

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Au@Pt@HP1-HP2@Fe3O4 Nanoenzymatic Complexes Based on CHA Signal Amplification Strategy for Ultrasensitive SERS Detection of ctDNA in Liver Cancer by Wang X, Sheng J, Yang H, Shen K, Yao J, Qian Y, Chen G

“…The complexes catalyzed the oxidation of colorless TMB by H2O2 to produce blue ox-TMB, enabling quantitative detection of PIK3CA E542K mutant ctDNA. …”
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