Efficient surface crack segmentation for industrial and civil applications based on an enhanced YOLOv8 model by Zeinab F. Elsharkawy, H. Kasban, Mohammed Y. Abbass

“…To evaluate the proposed approach and test its generalization ability, nine public datasets comprising images of civil and industrial structures were collected, including CracK500, Crack3238, Crack Forest Dataset, Deepcrack, Rissbilder, Volker, Sylvie, Magnetic Tile, and Pipeline Gamma Radiography Images. The datasets contain images with cracks of various sizes, shapes, sorts, lighting situations, and orientations. …”
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Biological age model using explainable automated CT-based cardiometabolic biomarkers for phenotypic prediction of longevity by Perry J. Pickhardt, Michael W. Kattan, Matthew H. Lee, B. Dustin Pooler, Ayis Pyrros, Daniel Liu, Ryan Zea, Ronald M. Summers, John W. Garrett

“…Abstract We derive and test a CT-based biological age model for predicting longevity, using an automated pipeline of explainable AI algorithms that quantifies skeletal muscle, abdominal fat, aortic calcification, bone density, and solid abdominal organs. …”
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Galaxy evolution in the post-merger regime. III -- The triggering of active galactic nuclei peaks immediately after coalescence by Sara Ellison, Leonardo Ferreira, Robert Bickley, Tess Grindlay, Samir Salim, Shoshannah Byrne-Mamahit, Shobita Satyapal, David R. Patton, Jillian M. Scudder

“…The Multi-Model Merger Identifier (MUMMI) machine vision pipeline has been demonstrated to provide reliable predictions of time post-merger (T_PM) for galaxies selected from the Ultraviolet Near Infrared and Optical Northern Survey (UNIONS) up to T_PM=1.76 Gyr after coalescence. …”
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Prophage-DB: a comprehensive database to explore diversity, distribution, and ecology of prophages by Etan Dieppa-Colón, Cody Martin, James C. Kosmopoulos, Karthik Anantharaman

“…We applied several state-of-the-art tools in our pipeline to annotate these viruses, cluster them, taxonomically classify them, and detect their respective auxiliary metabolic genes. …”
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Study on the LES of Premixed Gas Flame Dynamics in a Weak Confinement Structure: The Influence of Continuous Obstacle Plates by X. Shao, J. Gao, B. Hao, B. Ai, Y. Han, Y. Wu, B. Guo

“…By placing continuous obstacle plate at different positions within a pipeline, we examine the flame behavior, pressure, and flow field during the detonation process. …”
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Leveraging Next-Generation Sequencing Application from Identity to Purity Profiling of Nucleic Acid-Based Products by Rucha Wadapurkar, Swarda Deo, Renuka Khanzode, Ajay Singh

“…Perhaps NGS adaptation under cGMP compliance needs to be deliberated with the regulatory bodies, especially focusing on the methods qualification and validation part, starting from the sample collection, NGS library preparation, NGS run, and its data analysis pipeline.…”
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Early stroke behavior detection based on improved video masked autoencoders for potential patients by Meng Wang, Guanci Yang, Kexin Luo, Yang Li, Ling He

“…On the basis of establishing the masking mechanism for adjacent frames and pixel blocks within these sequences, The EPBR-PS employes pipeline mask strategy to extract spatiotemporal features effectively. …”
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Towards neuromorphic compression based neural sensing for next-generation wireless implantable brain machine interface by Vivek Mohan, Wee Peng Tay, Arindam Basu

“…We also analyzed the collision handling capability for up to 10K channels and observed no significant error, indicating the scalability of the proposed pipeline. We also present initial results to show the ability of intention decoders to work directly on the events generated by the neuromorphic front-end.…”
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A compliant metastructure design with reconfigurability up to six degrees of freedom by Humphrey Yang, Dinesh K. Patel, Tate Johnson, Ke Zhong, Gina Olson, Carmel Majidi, Mohammad F. Islam, Teng Zhang, Lining Yao

“…These devices incorporate passive flexures and actively stiffness-changing rods to modify kinematic freedom. A rational design pipeline informs the flexures’ topological arrangements, geometric parameters, and control signals based on targeted mobilities, enabling the creation of unitary joints with up to six degrees of freedom. …”
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Study on Inhibitory Effect of Cavity on Gas Explosion Propagation by Zhuo Yan, Shujie Yuan, Zhongqing Li, Shicheng Gu, Chaomin Mu

“…The cavity was installed in a pipeline system to carry out experimental research and to investigate the law of attenuation of gas explosion flames and shock wave overpressure after passing through the cavity. …”
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Movement Disorders and Smart Wrist Devices: A Comprehensive Study by Andrea Caroppo, Andrea Manni, Gabriele Rescio, Anna Maria Carluccio, Pietro Aleardo Siciliano, Alessandro Leone

“…Moreover, some articles also reported the type of raw data extracted from the smart wrist device, the implemented designed algorithmic pipeline, and the data classification methodology. …”
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A Distributed Energy-Throughput Efficient Cross-Layer Framework Using Hybrid Optimization Algorithm by Pratap Singh, Nitin Mittal, Vikas Mittal, Tapankumar Trivedi, Ashish Singh, Szymon Łukasik, Rohit Salgotra

“…Magnetic induction (MI)-operated wireless sensor networks (WSNs), due to their similar performance in air, underwater, and underground mediums, are rapidly emerging networks that offer a wide range of applications, including mine prevention, power grid maintenance, underground pipeline monitoring, and upstream oil monitoring. MI-based wireless underground sensor networks (WUSNs), utilizing small antenna coils, offer a viable solution by providing consistent channel conditions. …”
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Identifying Top-Performing Students via VKontakte Social Media Communities Using Advanced NLP Techniques by Sergei S. Gorshkov, Dmitry I. Ignatov, Anastasia Yu. Chernysheva, Vyacheslav L. Goiko, Vitaliy V. Kashpur

“…Additionally, the machine learning pipeline incorporated stacking to combine predictions from multiple models, enhancing robustness and classification performance. …”
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Enhancing Aquaculture Net Pen Inspection: A Benchmark Study on Detection and Semantic Segmentation by Waseem Akram, Ahsan Baidar Bakht, Muhayy Ud Din, Lakmal Seneviratne, Irfan Hussain

“…The dataset and the detection pipeline provide promising opportunities for further research in aquaculture net-pen inspection tasks.…”
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Transforming traffic accident investigations: a virtual-real-fusion framework for intelligent 3D traffic accident reconstruction by Yanzhan Chen, Qian Zhang, Fan Yu

“…This study proposes a novel virtual-real-fusion simulation framework that integrates traffic accident generation, unmanned aerial vehicle (UAV)-based image collection, and a 3D traffic accident reconstruction pipeline with advanced computer vision techniques and unsupervised 3D point cloud clustering algorithms. …”
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Unraveling the distinctive gut microbiome of khulans (Equus hemionus hemionus) in comparison to their drinking water and closely related equids by Víctor Hugo Jarquín-Díaz, Anisha Dayaram, Eirini S. Soilemetzidou, Amelie Desvars-Larrive, Julia Bohner, Bayarbaatar Buuveibaatar, Petra Kaczensky, Chris Walzer, Alex D. Greenwood, Ulrike Löber

“…Using PacBio technology and the LotuS pipeline for 16S rRNA gene sequencing, we analyze microbial diversity and conduct differential abundance, alpha, and beta diversity analyses. …”
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Native RNA nanopore sequencing reveals antibiotic-induced loss of rRNA modifications in the A- and P-sites by Anna Delgado-Tejedor, Rebeca Medina, Oguzhan Begik, Luca Cozzuto, Judith López, Sandra Blanco, Julia Ponomarenko, Eva Maria Novoa

“…To identify significant rRNA modification changes, we develop NanoConsensus, a novel pipeline that is robust across RNA modification types, stoichiometries and coverage, with very low false positive rates, outperforming all individual algorithms tested. …”
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Effect of Combining Multiple CNV Defining Algorithms on the Reliability of CNV Calls from SNP Genotyping Data by Soon-Young Kim, Ji-Hong Kim, Yeun-Jun Chung

“…In this study, we aimed to verify the effect of combining multiple CNV calling algorithms and set up the most reliable pipeline for CNV calling with Affymetrix Genomewide SNP 5.0 data. …”
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Automated craniofacial biometry with 3D T2w fetal MRI. by Jacqueline Matthew, Alena Uus, Alexia Egloff Collado, Aysha Luis, Sophie Arulkumaran, Abi Fukami-Gartner, Vanessa Kyriakopoulou, Daniel Cromb, Robert Wright, Kathleen Colford, Maria Deprez, Jana Hutter, Jonathan O'Muircheartaigh, Christina Malamateniou, Reza Razavi, Lisa Story, Joseph V Hajnal, Mary A Rutherford

“…We developed an automated label propagation pipeline using 3D motion- corrected, slice-to-volume reconstructed (SVR) fetal MRI for craniofacial measurements.…”
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Grouting Mechanism of Cement-Based Slurry in a Concentric Annulus under High Groundwater Pressure by Weijie Zhang, Chenghao Han, Lianzhen Zhang, Jiuchuan Wei, Huiyong Yin, Weiwei Han, Chao Xie, Wenwu Zhou

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