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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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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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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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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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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BWFER-YOLOv8: An Enhanced Cascaded Framework for Concealed Object Detection by Khalid Ijaz, Ikramullah Khosa, Ejaz A. Ansari, Syed Farooq Ali, Asif Hussain, Faran Awais Butt

“…The nonuniform illumination also generates a higher false positive rate due to the limited ability to differentiate small hidden objects from the background of images. …”
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Waste cooking oil pretreatment using microwave and ultrasound methods by Kerras, Halima, Outili, Nawel, Meniai, Abdeslam-Hassen

“…Results showed that the pretreatment methods led to good results where the best biodiesel yield was 98%, obtained with US pretreatment, while MW led to a yield of 96%. …”
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An Improved Sporulation Method for Producing Asexual Zoospores of Pythium aphanidermatum on Culture Medium by Yu Jin Kim, Seung Hyo Baek, Elena Volynchikova, Mee Kyung Sang, Ki Deok Kim

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Characterization of original research presented at the COVID-19 First National Scientific Conference , CovidCien2021 by Luis Enrique Jiménez Franco, Claudia Díaz de la Rosa, Jayce Díaz Díaz

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A dataset for tactile textures on uneven surfaces collected using a BioIn-Tacto sensing moduleMendeley Data by Maliheh Marzani, Soheil Khatibi, Ruslan Masinjila, Vinicius Prado da Fonseca, Thiago Eustaquio Alves de Oliveira

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Neuroprotective Effects of Myrtle Berry By-Product Extracts on 6-OHDA-Induced Cytotoxicity in PC12 Cells by Debora Dessì, Giacomo Fais, Paolo Follesa, Giorgia Sarais

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Longitudinal association of individual and household social capital with suicidal ideation: A multilevel analysis in South Korea by Sehee HAN

“…Data for wave 13 (2018) and wave 14 (2019) of the KOWEPS were combined to generate a longitudinal dataset. The final sample for this study includes 10,490 respondents within 6,135 households. …”
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Bradyrhizobium Inoculation Improved Agrosymbiotic Performances of Cowpea [Vigna unguiculata (L) Walp] Varieties at Two Sites in Ethiopia by Lemlem Yohannes, Tarekegn Yoseph, Tewodros Ayalew

“…Among the varieties, the White Wonder Trailing produced the highest grain yield of 2.98 t ha−1. The influence of Bradyrhizobium strain CP-24 was apparent in most of the studied parameters, except for days to emergence and harvest index. …”
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