Adversarial Attacks Defense Method Based on Multiple Filtering and Image Rotation by Feng Li, Xuehui Du, Liu Zhang

“…One class of the existing defense methods is the preprocessing-based defense which transforms the inputs before feeding them to the system. …”
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CN2VF-Net: A Hybrid Convolutional Neural Network and Vision Transformer Framework for Multi-Scale Fire Detection in Complex Environments by Naveed Ahmad, Mariam Akbar, Eman H. Alkhammash, Mona M. Jamjoom

“…This paper proposes the CN2VF-Net model, a novel hybrid architecture that combines vision Transformers (ViTs) and convolutional neural networks (CNNs), effectively addressing these challenges. …”
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Comparative Analysis of Analytical Methods for Quantifying the Deacetylation Degree in Chitosan Polymer Chains by Talita Martins, Gustavo L. Oliveira, Samuel B. Henriques, Eduardo H.M. Nunes

“…Despite observed differences between methods, all techniques effectively quantified DD, shedding light on factors such as sample solubility, moisture content, baseline correction, and instrument accuracy that contribute to these differences. …”
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Image retrieval method based on data mining and deep residual network by Hongzhi Yuan, Wei Hu

“…To address the significant shortcomings of traditional image retrieval models in feature extraction and recognition accuracy, this study proposes a new method based on the improved residual network and attention mechanism. …”
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Method for synthesizing a logic element that implements several functions simultaneously by S. I. Sovetov, S. F. Tyurin

“…The complexity for a different number of variables and number of implemented functions is compared.Conclusions. …”
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A Novel Deep Hybrid Model for Automatic Femoral Stem Classification in Hip Arthroplasty From Radiographs: MSFT-Net With CBAM and Transformer Modules by Emre Gogus, Atinc Yilmaz, Meric Enercan

“…The proposed multi-scale feature transformer network was trained and validated on a dataset comprising 1266 anteroposterior (A.P.) hip radiographs of 10 different femoral stem implant types. …”
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Coordinate Transformation between Global and Local Datums Based on Artificial Neural Network with K-Fold Cross-Validation: A Case Study, Ghana by Yao Yevenyo Ziggah, Hu Youjian, Alfonso Rodrigo Tierra, Prosper Basommi Laari

“…Its ability to perform coordinate transformation between different datums has been well documented in literature. …”
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Multimodal sequential cross-modal transformer for predicting plant available water capacity (PAWC) from time series of weather and crop biological data by Dung Nguyen, Peter de Voil, Andries Potgieter, Yash P. Dang, Thomas G. Orton, Duc Thanh Nguyen, Thanh Thi Nguyen, Scott C. Chapman

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Application of Signal Processing Techniques to the Vibration Analysis of a 3-DoF Structure Under Multiple Excitation Scenarios by Leidy Esperanza Pamplona Berón, Marco Claudio De Simone, Domenico Guida

“…Signal processing techniques, specifically Power Spectral Density (PSD) and Continuous Wavelet Transform (CWT), were employed. Each method provides valuable insights into frequency and time-frequency domain analysis. …”
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Efficient Implementation of Matrix-Based Image Processing Algorithms for IoT Applications by Sorin Zoican, Roxana Zoican

“…The execution time of matrix-based image processing algorithms can be reduced by using CNN accelerators already integrated in some modern microcontrollers to implement artificial intelligence algorithms. The proposed method uses CNN in a different way, not for artificial intelligence algorithms, but for matrix calculations using CNN resources effectively while maintaining the accuracy of the calculations. …”
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A Learned Reduced-Rank Sharpening Method for Multiresolution Satellite Imagery by Sveinn E. Armannsson, Magnus O. Ulfarsson, Jakob Sigurdsson

“…Our method offers several distinct advantages: it requires no external training data beyond the image being processed, it provides fast training speeds through a compact, interpretable network model, and most importantly, it adapts to different input images without requiring extensive parameter tuning—a common limitation of traditional methods. …”
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Unsupervised Cross-Domain Polarimetric Synthetic Aperture Radar (PolSAR) Change Monitoring Based on Limited-Label Transfer Learning and Vision Transformer by Xinyue Zhang, Rong Gui, Jun Hu, Jinghui Zhang, Lihuan Tan, Xixi Zhang

“…In this study, an unsupervised cross-domain method based on limited-label transfer learning and a vision transformer (LLTL-ViT) is proposed for PolSAR land-cover change monitoring, which effectively alleviates the problem of difficult label reuse caused by domain shift in time-series SAR data, significantly improves the efficiency of label reuse, and provides a new paradigm for the transfer learning of time-series polarimetric SAR. …”
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Performance evaluation of perceptible impulsive noise detection methods based on auditory models by Arda Özdoğru, František Rund, Karel Fliegel

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The Design and Performance Evaluation of a Wireless Sensor Network Based Irrigation System on Different Soil Types by Buhari Umar, Eustace Manayi Dogo, Bello Kontagora Nuhu, Arifa Khatoon Haq, Paul Tobi Olaleye

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Multi-Vehicle Object Recognition Method Based on YOLOv7-W by Xin Liu, Jingbin Zhao, Zhi Zhang, Rongxing Wu, Xun Li

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In Vitro Shoot Regeneration of Oil Seed Crop Sesamum indicum L. from Seedling Cotyledon Explant to Lay Ground for Genetic Transformation in Ethiopia by Micheale Yifter Weldemichael, Yemane Tsehaye Bayratsion, Desta Berhe Sbhatu, Girmay Gebresamuel Abraha, Hagos Mohammedseid Juhar, Abraha Birhan Kassa, Fiseha Baraki Sibhatu, Birhanu Debesay Berhe, Tagel Elias Sahle, Mohammed Mebrahtu Mossa, Haftay Abadi Gebru

“…This study was conducted to develop an efficient regeneration protocol used for sesame genetic transformation. Published regeneration methods using 6-benzylaminopurine (BAP), indol-3-butyric acid (IBA), and α-naphthaleneacetic acid (NAA) were used in this experiment. …”
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Optimal path calculation method of optical network under complex constraints by Peng Zhu, Hong Sun, Qian Xiang, Zhenming Zhang

“…An optimal path calculation method is proposed, involving the transformation of the network topology based on various constraints. …”
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Adaptive Fast Refocusing for Ship Targets With Complex Motion in SAR Images by Xinqi Xu, Xiangguang Leng, Zhongzhen Sun, Xiangdong Tan, Kefeng Ji, Gangyao Kuang

“…Then, each azimuth line is refocused using fractional Fourier transform. Finally, the refocused image is obtained by substituting the raw azimuth lines for the refocused ones. …”
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Fault Diagnosis Method of Gear based on VMD and Multi-feature Fusion by Wang Jianguo, Chen Shuai, Zhang Chao

“…Finally,the high- dimensional feature vectors composed of PE and energy are transformed as input of least squares support vector machine（ LS- SVM） to identify gear fault types.The experimental results indicate that VMD can better separate complex multi- components signal from each other,the PE and energy feature can reveal the gear fault information from different scales,the intelligent fault diagnosis method based on VMD and multi- feature fusion can identify the operating conditions of gear accurately and provide reference for the gear fault warning and severity.…”
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Bioenergy potential of Chlorella vulgaris under the influence of different light conditions in a bubble column photobioreactor by S. Dhanasekar, R. Sathyanathan

“…Additionally, the research findings focus on assessing the degradation of organic pollutants and biomass generation under different light conditions.METHODS: In this study, synthetic agrochemical wastewater was treated in a bubble column photobioreactor with blue, red, sunlight, and white light conditions. …”
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