Engineered Multifunctional Fluorinated Film Based on Semicontinuous Emulsion Polymerization Using Polymerizable Quaternary Ammonium Emulsifiers by Hongzhu Liu, Lingnan Wang, Minhuan Wang, Chuan-Jin Hou, Bin-bin Ye, Zefeng Wang, Jiming Bian

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Identifying Tomato Growth Stages in Protected Agriculture with StyleGAN3–Synthetic Images and Vision Transformer by Yao Huo, Yongbo Liu, Peng He, Liang Hu, Wenbo Gao, Le Gu

“…This paper proposes an innovative solution combining generative adversarial networks (GANs) and deep learning techniques to address these challenges. …”
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Multivariate Deep Learning Approach for Electric Vehicle Speed Forecasting by Youssef Nait Malek, Mehdi Najib, Mohamed Bakhouya, Mohammed Essaaidi

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The Semenov-Znamensky family in Harbin. Materials for the biography by A. N. Steblyanskaya

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sThing: A Novel Configurable Ring Oscillator Based PUF for Hardware-Assisted Security and Recycled IC Detection by Saswat Kumar Ram, Sauvagya Ranjan Sahoo, Banee Bandana Das, Kamalakanta Mahapatra, Saraju P. Mohanty

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Automated hip dysplasia detection using novel FlexiLBPHOG model with ultrasound images by Sefa Key, Huseyin Kurum, Omer Esmez, Abdul Hafeez Baig, Rena Hajiyeva, Sengul Dogan, Turker Tuncer

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Rapid modeling and 3D matching of GB InSAR landslide emergency monitoring: Method and application by Keli ZHANG, Aimin YAO, Jianquan ZHANG, Yulei YAN, Hongnan QIN

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Angular Dependence of Spin Transfer Switching in Spin Valve Nanopillar Based Heusler Alloy by Pirat Khunkitti, Anan Kruesubthaworn, Arkom Kaewrawang, Tim Mewes, Claudia K. A. Mewes, Apirat Siritaratiwat

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Characterization of Glasses in One Type of Alumina Rich Fly Ash by Chemical Digestion Methods: Implications for Alumina Extraction by Lijun Zhao, Hanshuang Xiao, Baodong Wang, Qi Sun

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Effect of Ionic Liquids on the Physical Properties of the Newly Synthesized Conducting Polymer by Dong Uk Lee, Jin Yeong Jeong, Ji Woong Han, Gi-Chung Kwon, Pankaj Attri, In Tae Kim

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Combined Input Deep Learning Pipeline for Embryo Selection for In Vitro Fertilization Using Light Microscopic Images and Additional Features by Krittapat Onthuam, Norrawee Charnpinyo, Kornrapee Suthicharoenpanich, Supphaset Engphaiboon, Punnarai Siricharoen, Ronnapee Chaichaowarat, Chanakarn Suebthawinkul

“…In addition, a custom weight was trained using a self-supervised learning framework known as the Simple Framework for Contrastive Learning of Visual Representations (SimCLR) in cooperation with generated images using generative adversarial networks (GANs). …”
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Equilibrium distance from long-range dune interactions by J. Vérité, C. Narteau, O. Rozier, J. Alkalla, L. Barrier, S. Courrech du Pont

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A Novel Finite-Control-Set Model Predictive Torque Control for Five-Phase PMSM With Improved Harmonic Current Suppression by Weiguo Tao, Huawei Zhou, Chen Ye, Cheng Chen

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A Case Study of Offshore Advection of Boundary Layer Rolls over a Stably Stratified Sea Surface by Nina Svensson, Erik Sahlée, Hans Bergström, Erik Nilsson, Merete Badger, Anna Rutgersson

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Enhancing ride comfort of semi-active suspension through collaboration control using dung beetle optimizer optimized Fuzzy PID controller by Kunlun Zhang, Azizan As’arry, Liucun Zhu, Abdul Aziz Hairuddin, Mohd Khair Hassan, Mohd Zarhamdy Md Zain

“…Compared with Fuzzy-PID, the vehicle acceleration of Fuzzy-DBO-PID is reduced by 25.98%, 32.86%, 29.41%, and 7.19% on sinusoidal and random disturbances, which improves the ride comfort and verifies the effectiveness of the proposed control strategy.…”
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Response Surface Methodology Investigation of the Viscosity of Propylene Glycol (100)/Graphene Nanofluid to Determine the Optimal Conditions by Raviteja Surakasi, Salah J. Mohammed, Hasan Sh. Majdi, Ali Majdi, Parveen Berwal, Mohammad Amir Khan, Wahaj Ahmad Khan

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Respiratory disease detection in lung auscultation with convolutional neural networks and CVAE augmentation by D.V. Panaskin, S.H. Stirenko, D.S. Babko

“…In the next step, each sample was transformed into a frequency spectrum and Melspectrograms were generated. To solve the problem of class imbalance, the required number of synthetic spectrograms generated by convolutional variation autoencoders was added. …”
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Study for quartz resonators in miniature metal-ceramic package for further use in temperature-compensated oscillators by M. I. Boychuk

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Fault Detection in Induction Machines Using Learning Models and Fourier Spectrum Image Analysis by Kevin Barrera-Llanga, Jordi Burriel-Valencia, Angel Sapena-Bano, Javier Martinez-Roman

“…This study presents an innovative methodology for automatic fault detection by analyzing images generated from the Fourier spectra of current signals using deep learning techniques. …”
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Attention-enhanced corn disease diagnosis using few-shot learning and VGG16 by Ruchi Rani, Jayakrushna Sahoo, Sivaiah Bellamkonda, Sumit Kumar

“…An attention module is integrated with the backbone, and further, prototypical few-shot learning is used for corn disease prediction and classification with an accuracy of 98.25 %. • The proposed model intends to identify the diseases early, so the insights generated would be relevant for farmers, and probable losses can be reduced. • By applying Few-Shot Learning, the system avoids the significant challenges of requiring extensively annotated datasets, making it feasible for real-world agricultural applications. • Incorporating a fine-tuned VGG16 backbone along with an attention mechanism and prototypical Few-Shot Learning results in a robust and scalable solution with high accuracy for classifying corn diseases.…”
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