IDAS: Intelligent Driving Assistance System Using RAG by Hernandez-Salinas Bernardo, Juan Terven, E. A. Chavez-Urbiola, Diana-Margarita Cordova-Esparza, Julio-Alejandro Romero-Gonzalez, Amadeo Arguelles, Ilse Cervantes

“…Our results show a minimum response time of one second for the pipeline using GPT-4o-mini and Mistral Nemo.…”
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Improving The Performance of Big Data Databases by Nzar Abdulqadir Ali, Dashne Raouf Arif

“…However, in NoSQL different algorithms are used for inserting and updating operations such as default-indexing, batch insert, multiple updating and pipeline aggregation. As a result, firstly compared with related papers, this paper shows that the performance of both SQL and NoSQL can be improved. …”
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Skin and soft tissue modeling and its impact on apparel modeling by Carol McDonald, Randy K Rannow, Alfredo Ballester, Katy Schildmeyer, Emma Scott, Simeon Gill

“…Initial findings suggest the use of stable and morphological landmarks could have profoundly positive effects throughout the entire digital product creation (DPC) production pipeline and should be further explored & are important in developing standard topology practice. …”
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Retracted: Computer Medical Image Segmentation Based on Neural Network by Xiaopeng Wang, Lei Gu, Zhongyi Wang

“…This solution improves computing performance by increasing system parallelism, using data reuse technology to fully utilize loading bandwidth, and using data quantization to reduce computational redundancy. It also introduces pipeline and dual cache structures to optimize memory access, and analyzes the limited resources through the Roofline model. …”
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Clinical entity-aware domain adaptation in low resource setting for inflammatory bowel disease by Sumam Francis, Fernando Crema Garcia, Kanimozhi Uma, Willem Mestdagh, Bart De Moor, Marie-Francine Moens

“…In summary, we developed a comprehensive pipeline for clinical Dutch NER encompassing an efficient domain adaptation strategy with domain-aware masking and model fine-tuning enhancements, and an end-to-end entity extraction tool, significantly advancing medical record curation and clinical workflows.…”
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High order expression dependencies finely resolve cryptic states and subtypes in single cell data by Abel Jansma, Yuelin Yao, Jareth Wolfe, Luigi Del Debbio, Sjoerd V Beentjes, Chris P Ponting, Ava Khamseh

“…We provide Stator as a Nextflow pipeline and Shiny App.…”
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The Future Face of Surgery—Demographics of Students Interested in Surgery at an Academic Medical Center by Jalee Birney, Dylan T Vance, Jodi A. Veach, Katelyn Sanner Dixon, Sarah E. Adkins, Sarah C. Wilson, Heather M Minchew, Jordan Baker, Lynn Chollet-Hinton, German Berbel, Lyndsey J Kilgore

“…Focusing on initial interest to surgery is crucial as it is the foundation for the pipeline of diversifying future surgeons.…”
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Field-scale detection of Bacterial Leaf Blight in rice based on UAV multispectral imaging and deep learning frameworks. by Guntaga Logavitool, Teerayut Horanont, Aakash Thapa, Kritchayan Intarat, Kanok-On Wuttiwong

“…This study introduces a new pipeline specifically designed for detecting BLB in rice fields using unmanned aerial vehicle (UAV) imagery. …”
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Robustly detecting mpox and non-mpox using a deep learning framework based on image inpainting by Yujun Cao, Yubiao Yue, Xiaoming Ma, Di Liu, Rongkai Ni, Haihua Liang, Zhenzhang Li

“…To address these challenges, we proposed a novel strategy based on image inpainting called “Mask, Inpainting, and Measure” (MIM). In MIM’s pipeline, a generative adversarial network learns feature representations of mpox images by inpainting the masked mpox images. …”
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Soil and Groundwater Characteristics of a Legacy Spill Site by A Adoki

“…The potential sources of contamination were: The primary Source of contamination at the study site were the stock piles of excavated surface material deposited at the site; Past accidental leak of crude oil from the 28” pipeline that passes through the western site boundary of the location. …”
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Mapping chromatin remodelling in glioblastoma identifies epigenetic regulation of key molecular pathways and novel druggable targets by Claire Vinel, James Boot, Weiwei Jin, Nicola Pomella, Alexandra Hadaway, Charles Mein, Nicolae Radu Zabet, Silvia Marino

“…Results We have leveraged SYNGN, an experimental pipeline enabling the syngeneic comparison of glioblastoma stem cells and expanded potential stem cell (EPSC)-derived neural stem cells to identify regulatory features driven by chromatin remodelling specifically in glioblastoma stem cells. …”
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Unveiling the antibacterial potential of latex-derived phytocomponents from Calotropis gigantea targeting bacterial Penicillin-binding proteins: chemical profiling, in silico docki... by Arun Sharma, Amrita Chauhan

“…Therefore, this latex-derived compound may open a new pipeline into the development of multi-target antibiotics against a broad-spectrum multidrug-resistant G- bacterium. …”
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In silico data mining of large-scale databases for the virtual screening of human interleukin-2 inhibitors by Halim Sobia Ahsan, Zaheer-Ul-Haq, Khan Ajmal, Al-Rawahi Ahmed, Al-Harrasi Ahmed

“…This study was carried out to set up an effective virtual screening (VS) pipeline for IL-2. Four docking/scoring approaches (FRED, MOE, GOLD and Surflex-Dock) were compared in the re-docking process to test their performance in producing correct binding modes of IL-2 inhibitors. …”
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Genomic characterization of antimicrobial-resistance and virulence factors in Salmonella isolates obtained from pig farms in Antioquia, Colombia. by María Isabel García-Álvarez, Juana L Vidal, Pilar Donado-Godoy, Jared Smith, Nikki Shariat, María Fernanda Valencia, Luis M Gómez-Osorio, Sara López-Osorio, Jenny J Chaparro-Gutiérrez

“…Whole genome sequencing (WGS) was performed in the Unit of Genomic of Agrosavia using an automated pipeline from the GHRU- Sanger Institute, employing the Illumina MiSeq platform.…”
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Initial data analysis for longitudinal studies to build a solid foundation for reproducible analysis. by Lara Lusa, Cécile Proust-Lima, Carsten O Schmidt, Katherine J Lee, Saskia le Cessie, Mark Baillie, Frank Lawrence, Marianne Huebner, TG3 of the STRATOS Initiative

“…Initial data analysis (IDA) is the part of the data pipeline that takes place between the end of data retrieval and the beginning of data analysis that addresses the research question. …”
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A hybrid approach for intrusion detection in vehicular networks using feature selection and dimensionality reduction with optimized deep learning. by Fayaz Hassan, Zafi Sherhan Syed, Aftab Ahmed Memon, Saad Said Alqahtany, Nadeem Ahmed, Mana Saleh Al Reshan, Yousef Asiri, Asadullah Shaikh

“…The intended use of CFS and PCA in the machine learning pipeline serves two folds benefit, first is that the resultant feature matrix contains attributes that are most useful for recognizing malicious traffic, and second that after CFS and PCA, the feature matrix has a smaller dimensionality which in turn means that smaller number of weights need to be trained for the dense layers (connections are required for the dense layers) which resulting in smaller model size. …”
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TurkMedNLI: a Turkish medical natural language inference dataset through large language model based translation by İskender Ülgen Oğul, Fatih Soygazi, Belgin Ergenç Bostanoğlu

“…This study introduces a pipeline for translating a medical NLI dataset into Turkish, which is a low-resource language. …”
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Soil and Groundwater Characteristics of a Legacy Spill Site by A Adoki

“…The potential sources of contamination were: The primary Source of contamination at the study site were the stock piles of excavated surface material deposited at the site; Past accidental leak of crude oil from the 28” pipeline that passes through the western site boundary of the location. …”
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Fat-tail allele-specific expression genes may affect fat deposition in tail of sheep. by Hossein Mansourizadeh, Mohammad Reza Bakhtiarizadeh, Luciana Correia de Almeida Regitano, Jennifer Jessica Bruscadin

“…Using a rigorous computational pipeline, 115 differential ASE genes were identified, which were narrowed down to four genes (LPL, SOD3, TCP1 and LRPAP1) for being detected in at least two studies. …”
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A Sentinel-2 machine learning dataset for tree species classification in Germany by M. Freudenberg, M. Freudenberg, S. Schnell, P. Magdon

“…The dataset is based on the German National Forest Inventory of 2012 as well as analysis-ready satellite imagery computed using the Framework for Operational Radiometric Correction for Environmental monitoring (FORCE) processing pipeline. From the National Forest Inventory data, we extracted the tree positions, filtered 387 775 trees in the upper canopy layer, and automatically extracted the corresponding bottom-of-atmosphere reflectance time series from Sentinel-2 L2A images. …”
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