Quantitative Analysis of 3-Monochloropropane-1,2-diol in Fried Oil Using Convolutional Neural Networks Optimizing with a Stepwise Hybrid Preprocessing Strategy Based on Fourier Tra... by Xi Wang, Siyi Wang, Shibing Zhang, Jiping Yin, Qi Zhao

“…Before building the CNN model, NL-SGS-D₂ was utilized to enhance the feature extraction capability of model by eliminating the background noise. …”
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Optimizing visual data retrieval using deep learning driven CBIR for improved human machine interaction by Arulmozhi P, Gopi R

“…Robust performance across varied datasets is challenging for traditional CBIR methods due to their reliance on hand-crafted features and inflexible structures. This study presents a deep adaptive attention network (DAAN) for CBIR that combines multi-scale feature extraction and hybrid neural architectures to solve these problems and improve the speed and accuracy of visual retrieval. …”
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MCFTNet: Multimodal Cross-Layer Fusion Transformer Network for Hyperspectral and LiDAR Data Classification by Wei Huang, Tianren Wu, Xueyu Zhang, Liangliang Li, Ming Lv, Zhenhong Jia, Xiaobin Zhao, Hongbing Ma, Gemine Vivone

“…Through adaptive learning, these cross-layer fusions help address the gradient vanishing problem in deep networks while preserving early-layer features. …”
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Review of Synthetic Aperture Radar Automatic Target Recognition: A Dual Perspective on Classical and Deep Learning Techniques by Jakub Slesinski, Damian Wierzbicki

“…Feature-based approaches in traditional SAR ATR followed from conventional feature-driven strategies, while modern data-driven end-to-end recognition methods, consisting primarily of convolutional neural network based and hybrid networks, have been applied. …”
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Enhanced Blind Separation of Rail Defect Signals with Time–Frequency Separation Neural Network and Smoothed Pseudo Wigner–Ville Distribution by Mingxiang Zhang, Kangwei Wang, Yule Yang, Yaojia Cao, Yong You

“…Railways are crucial in economic development and improving people’s livelihoods. Therefore, defect detection and maintenance of rails are particularly important. …”
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Forensic of video object removal tamper based on 3D dual-stream network by Lizhi XIONG, Mengqi CAO, Zhangjie FU

“…In order to solve the problems of inaccurate temporal detection and location of the object removal tampered video， a video tamper forensics method based on 3D dual-stream network was proposed.Firstly， the spatial rich model （SRM） layer was used to extract the high-frequency information from video frames.Secondly， the improved 3D convolution （C3D） network was used as the feature extractor of the dual-stream network to extract the high-frequency information and low-frequency information from the high-frequency frame and the original video frame respectively.Finally， through compact bilinear pooling （CBP） layer， two sets of different feature vectors were fused into one set of feature vectors for classification prediction.The experimental results demonstrate that the classification accuracy of the proposed method in all video frames has an advantage in SYSU-OBJFORG dataset， which makes the temporal detection and location of object removal tampered video more accurate.…”
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Using Cuckoo Search Algorithm to Predict Corporate Financial Risks and Alleviate Economic Uncertainty by Muqiao Cai

“…Problems like this contribute to macroeconomic uncertainty by delaying the identification of potential defaults. …”
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A probabilistic neural network-based bimanual control method with multimodal haptic perception fusion by Xinrui Chi, Zhanbin Guo, Fu Cheng

“…In the master-slave robot system, single-modal tactile perception has problems such as collision detection delay (>120 ms), force estimation error (>2.3 N), and sensor conflicts, resulting in a 37 % failure rate of robot operations in nuclear decommissioning scenarios and a 19.2 % risk of excessive tissue compression in laparoscopic surgery. …”
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Improved protection scheme for shipboard microgrids based on high frequency impedance method with experimental validation by Asmaa M. Aboelezz, Magdi M. El-Saadawi, Abdelfattah A. Eladl, Magda I. El-Afifi, Vladimír Bureš, Bishoy E. Sedhom

“…This paper addresses the critical problem of fault detection in DC zonal shipboard microgrids, which is essential for ensuring system reliability and operational safety. …”
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TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification by Nelly Elsayed, Constantinos L. Zekios, Navid Asadizanjani, Zag ElSayed

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Impact of ocean stratification characteristics on identifiability of internal wave trails in synthetic aperture radar images by Zhechao YANG, Liqun REN, Changhong ZHI, Yunxiang YOU, Hongwei WANG

“…ObjectivesAiming at the problem of the identifiability of underwater vehicle wave trails in synthetic aperture radar (SAR) images in a density stratified environment, this study establishes a theoretical solution model and quantitative analysis method. …”
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Research on Intelligent Recognition Method of Ground Penetrating Radar Images Based on SAHI by Ruimin Chen, Ligang Cao, Congde Lu, Lei Liu

“…Since distress features occupy fewer pixels on the original image, to allow the model to pay greater attention to the distress features, it is necessary to crop the original images centered on the distress labeling boxes first, and then input the cropped images into the model for training. …”
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FORM-UNSUSTAINABLE ELECTRODYNAMICS OF DISTRIBUTION OF ELECTRIC FIELDS OF SUBNANOSECOND SIGNALS IN INHOMOGENEOUS MEDIA by M. S. Kostin

“…A method of quasioptimal detection of such radio pulses is proposed taking into account their form-time and spectral transformation. …”
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Evolution of Forensic Accounting in Russia as a Special Branch of Economic Knowledge by Zhanna A. Kevorkova

“…The results of the study of the evolutionary development of forensic accounting reveal the existence of problems the solution of which should be aimed at working out special proposals for each stage of its development in order to use forensic accounting as a control tool for detecting signs of offences in the activity of economic subjects.…”
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Fault diagnosis method for rigid guides in vertical shaft hoisting systems by WANG Jianfeng, JIN Yuanzhi, ZHANG Yong, WANG Yongzhen, HE Jiacong

“…To address this problem, eddy current sensors are used to collect fault signals of the rigid guides, ensuring that the signal features are not affected by the cage's operating environment. …”
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Neuro-Visual Adaptive Control for Precision in Robot-Assisted Surgery by Claudio Urrea, Yainet Garcia-Garcia, John Kern, Reinier Rodriguez-Guillen

“…These networks address common deep learning challenges, such as the vanishing gradient problem, and facilitate the generation of smooth control signals that minimize wear on the robot’s actuators. …”
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A Real-Time DAO-YOLO Model for Electric Power Operation Violation Recognition by Xiaoliang Qian, Yang Li, Xinyu Ding, Longxiang Luo, Jinchao Guo, Wei Wang, Peixu Xing

“…Secondly, the capability for feature representation is not strong enough to precisely detect multi-scale objects. …”
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Connecting methods of location monitoring equipment to overhead power lines by R. G. Minullin, A. A. Granskaya, E. Yu. Abdullazyanov, I. G. Akhmetova, R. G. Mustafin, V. A. Kasimov

“…Investigate the possibility of operating a locator through a lightning arrester cable to detect faults on the line by observing the signal reflected from the fault location.METHODS. …”
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GENRE PALETTE OF UKRAINIAN ADVENTURE PROSE OF THE FIRST THIRD OF THE 20TH CENTURY by Lyudmyla M. Kulakevych

“…Representatives of modernist discourse in the Ukrainian literary process sought to overcome the limitations of domestic literature, which concentrated exclusively on purely national problems and already classic topics, genres, images. …”
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THE APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN MEDICAL DIAGNOSTICS by Gulchin Abdullayeva, Ulkar Alizada

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