Efficiency of Automated Viral RNA Purification for Pediatric Studies of Dengue and Zika in Hyperendemic Areas by Sandra L. Delgado, Piedad M. Perilla, Doris M. Salgado, María Clemencia Rojas, Carlos F. Narváez

“…We evaluated the efficiency of the automated extraction of viral RNA for studies of pediatric dengue and zika. …”
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HoneyBow:an automated malware collection tool based on the high-interaction honeypot principle by ZHUGE Jian-wei1, HAN Xin-hui1, ZHOU Yong-lin2, SONG Cheng-yu1, GUO Jin-peng1, ZOU Wei1

“…Malware has become one of the severest threats to the public Internet.To deal with the malware breakout ef-fectively as early as possible,an automated malware collection solution must be implemented as a precondition.An automated malware collection tool was presented based on the high-interaction honeypot principle called HoneyBow.Comparing with the Nepenthes platform based on the low-interaction honeypot principle,HoneyBow has its advantages on wilder range of captured malware samples and the capability of collecting unknown malware samples,which are vali-dated by the experiment results from wild malware collection and the case of Mocbot dealment.…”
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Automated quantification of Enchytraeus crypticus juveniles in different soil types using RootPainter by Bart G. van Hall, Cornelis A.M. van Gestel

“…Toxicity values (EC50 and EC10) calculated from the manual and automated counts were within a factor of 0.85 – 1.30. …”
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A Functional and Practical Taxonomy for the Industrial Implementation of Highly Automated Reverse Manufacturing Cells by Annagiulia Morachioli, Vladimir Sivtsov, Nicolas Rojas, Fabio Bonsignorio

“…The key technical and economic bottlenecks are in the automation of disassembly. In this article, we propose a viable functional framework for the systematic analysis, design, and implementation of disassembly cells. …”
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Automated Breast Cancer Detection in Mammograms using Transfer Learningbased Deep Learning Models by Preeti Katiyar, Krishna Singh

“…The present study employs deep learning models trained using Transfer Learning (TL) techniques. Aim: To automate the process of BC diagnosis in mammograms. …”
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Machine learning–based automated image processing for quality management in industrial Internet of Things by Nematullo Rahmatov, Anand Paul, Faisal Saeed, Won-Hwa Hong, HyunCheol Seo, Jeonghong Kim

“…The aim of this article is to automate quality control once a product, essentially a central processing unit system, is manufactured. …”
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RETRACTED: Automated verification of digital information models of buildings for compliance with fire safety requirements by Makisha Elena

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Automated Fillet Weld Inspection Based on Deep Learning from 2D Images by Ignacio Diaz-Cano, Arturo Morgado-Estevez, José María Rodríguez Corral, Pablo Medina-Coello, Blas Salvador-Dominguez, Miguel Alvarez-Alcon

“…This work presents an automated welding inspection system based on a neural network trained through a series of 2D images of welding seams obtained in the same study. …”
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Multistage deep learning methods for automating radiographic sharp score prediction in rheumatoid arthritis by Hajar Moradmand, Lei Ren

“…It presents an efficient and automated alternative for overall damage assessment. …”
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UX-MAPPER: An automated approach to analyze app store reviews with a focus on UX by Walter T. Nakamura, Edson C. C. de Oliveira, Elaine H. T. de Oliveira, Tayana Conte

“…However, the output quality requires refinement to better convey the benefits of the results, especially for practitioners with prior experience with automated approaches. From the participants’ feedback, we defined a set of suggestions to extract more useful features, which can contribute to future studies involving user review analysis. …”
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Reseña: Three revolutions: Steering automated, shared, and electric vehicles to a better future by Ana Ruiz-Varona

“…Three revolutions: Steering automated, shared, and electric vehicles to a better future. …”
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Using artificial intelligence tools for automating the assessment of future computer science teachers' work by Oleksandr M. Spazhev, Oksana V. Klochko

Subjects: “…automated work checking…”
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Automated and Reproducible Detection of Vascular Endothelial Growth Factor (VEGF) in Renal Tissue Sections by Nayana Damiani Macedo, Aline Rodrigues Buzin, Isabela Bastos de Araujo, Breno Valentim Nogueira, Tadeu Uggere Andrade, Denise Coutinho Endringer, Dominik Lenz

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Automated Morphology Detection of Nail-Fold Capillaries Through Enhanced Object Detection Network by Hang Thi Phuong Nguyen, Hieyong Jeong

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Automated Particle Shape Identification and Quantification for DEM Simulation of Rockfill Materials in Subgrade Construction by Hao Bai, Xiangyu Hu, Ruidong Li, Fei Chen, Zhiyong Liao

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Evaluation of e-Lung automated quantitative computed tomography biomarkers in idiopathic pulmonary fibrosis by Peter M. George, Christian Rennison-Jones, Giacomo Benvenuti, Aliki Sifostratoudaki, Finja A. Ottink, Wassim Bou-Zeid, Roberta E. Ledda, Roqia F. Abul Kadir, Bushra Johari, Claire Fernandez, George W.J. Harston, Olivier Joly, Stephen Gerry, Anand Devaraj

“…Conclusions WRVS is an automated CT biomarker which can identify patients with IPF at increased risk of progression and is able to reliably capture disease progression over time.…”
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Towards the implementation of automated scoring in international large-scale assessments: Scalability and quality control by Ji Yoon Jung, Lillian Tyack, Matthias von Davier

Subjects: “…Automated scoring…”
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RETRACTED: Modernization of electronic document management and systems analysis processes using an automated platform by Panfilova Tatyana, Tynchenko Vadim, Kukartseva Oksana, Kozlova Anastasia, Glinscaya Anna

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Vision transformers for automated detection of diabetic peripheral neuropathy in corneal confocal microscopy images by Chaima Ben Rabah, Ioannis N. Petropoulos, Rayaz A. Malik, Ahmed Serag

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RAPID: real-time automated plankton identification dashboard using Edge AI at sea by Sophie G. Pitois, Robert E. Blackwell, Hayden Close, Noushin Eftekhari, Sarah L. C. Giering, Mojtaba Masoudi, Eric Payne, Joseph Ribeiro, James Scott

“…We describe RAPID: a Real-time Automated Plankton Identification Dashboard, deployed on the Plankton Imager, a high-speed line-scan camera that is connected to a ship water supply and captures images of particles in a flow-through system. …”
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