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

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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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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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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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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Signals of complexity and fragmentation in accelerometer data. by Els Weinans, Jerrald L Rector, Sarah Charman, Renae J Stefanetti, Cecilia Jimenez-Moreno, Gráinne S Gorman, Ingrid van de Leemput, Daniël van As, René Melis, Baziel van Engelen

“…Previous work hypothesizes that an individual's activity pattern can be seen as a complex dynamical system. Here, we explore this hypothesis further by investigating whether complexity-based measures quantifying repetitiveness and fragmentation of activity captured via accelerometer can detect health differences beyond traditional measures. …”
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Parameter Disentanglement for Diverse Representations by Jingxu Wang, Jingda Guo, Ruili Wang, Zhao Zhang, Liyong Fu, Qiaolin Ye

“…PDDR can be seamlessly integrated into modern networks, significantly improving the learning capacity of a network while maintaining the same complexity for inference. Experimental results show great improvements on various tasks, with an improvement of 1.47% over Residual Network 50 (ResNet50) on ImageNet, and we improve the detection results of Retina Residual Network 50 (Retina-ResNet50) by 1.7% Mean Average Precision (mAP). …”
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Security-centric node identification in complex networks by Lanying Liu, Ning Du, Duyong Sheng

“…Abstract Ensuring network security in complex and dynamic environments has become a critical challenge due to the increasing proliferation of Internet of Things (IoT) devices and decentralized architectures such as Fog Computing. …”
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Complex dark photon dark matter EFT by Enrico Bertuzzo, Tommaso Sassi, Andrea Tesi

“…First we apply this to collider bounds on light dark matter, then to direct detection searches by extending the list of non-relativistic operators to include the case of complex vectors. …”
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Analytical Study for the Charge-Transfer Complexes of Pregabalin by Hesham Salem

“…Different colored charge-transfer complexes and radical anions were obtained. Different variables affecting the reactions were studied and optimized. …”
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Trading Community Analysis of Countries’ Roll-On/Roll-Off Shipping Networks Using Fine-Grained Vessel Trajectory Data by Shichen Huang, Tengda Sun, Jing Shi, Piqiang Gong, Xue Yang, Jun Zheng, Huanshuai Zhuang, Qi Ouyang

“…This method assesses the complexity, sparsity, homogeneity, modularity, and hierarchy of the RO/RO shipping network across various ports and countries and employs the graph convolutional neural network (GCN) model to extract network features for community detection. …”
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INCREASING THE EFFICIENCY OF THE TREATMENT OF ENDOPARODONTAL LESIONS by F.Y. Mammadov, V.M. Bayramova, R.M. Ahmedbeyli

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A Permutation Entropy Method for Sleep Disorder Screening by Cristina D. Duarte, Marcos M. Meo, Francisco R. Iaconis, Alejandro Wainselboim, Gustavo Gasaneo, Claudio Delrieux

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SF-DETR: A Scale-Frequency Detection Transformer for Drone-View Object Detection by Haotong Wang, Junwei Gao

“…Drone-based object detection faces critical challenges, including tiny objects, complex urban backgrounds, dramatic scale variations, and high-frequency detail loss during feature propagation. …”
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An Integrated Preprocessing and Drift Detection Approach With Adaptive Windowing for Fraud Detection in Payment Systems by Hadi M. R. Al Lawati, Anazida Zainal, Bander Ali Saleh Al-Rimy, Mohammad Al-Azawi, Mohamad Nizam Kassim, Sultan Ahmed Almalki, Tami Abdulrahman Alghamdi

“…This also serves as a basis for future work in adaptive fraud detection model research areas such as of integrating online learning for improved speed and efficiency in high-frequency transactional environments.…”
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Towards Fast Implementation of Complex RNS Components on FPGAs by Sabbagh Molahosseini Amir, Alsadat Emrani Azadeh

“…The residue number system (RNS) with its inherent parallelism can also be used to enhance the performance of implementation of comput-ing algorithms on FPGAs. However, complex RNS operations such as residue to binary (reverse) conversion, sign detection, scaling, magnitude comparison and overflow detection have not been efficiently implemented on FPGAs until now. …”
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AEMF: An Attention-Based Efficient and Multifeature Fast Text Detector by Wanqi Ma, Chaoyu Yang, Jie Yang, Jian Wu

“…Yet, in complex industrial scenarios, traditional detection methods are often unable to meet the requirements, which suffer from many problems of low accuracy and efficiency. …”
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Complex Service Desk System for Incident Management Automation by Michal Dostál

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Complexity Analysis of Electroencephalogram Dynamics in Patients with Parkinson’s Disease by Guotao Liu, Yanping Zhang, Zhenghui Hu, Xiuquan Du, Wanqing Wu, Chenchu Xu, Xiangyang Wang, Shuo Li

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