Proposal of automated computational method to support Virginia tobacco classification by Leonel P. C. Tedesco, Adriano da C. de Freitas, Rolf F. Molz, Jacques N. C. Schreiber

“…ABSTRACT This article proposes an automatic method for classification of cured tobacco leaves. …”
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BUILDING AN EFFECTIVE MOTIVATION SYSTEM AS A WAY TO MANAGE THE INNOVATION PROCESS AT ENTERPRISES OF HIGH-TECH INDUSTRIES by S.S. Chebotarev, A.V. Romanova

Implementation of a Flexible Manufacturing System in a production cell of the automotive industry: decision and choice by Miguel Afonso Sellitto, Vagner Gerhardt Mancio

“…Research method The qualitative-quantitative modeling, relying on four competitive priorities of the manufacturing, cost, quality, flexibility, and delivery. …”
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The Accuracy of ADC Measurements in Liver Is Improved by a Tailored and Computationally Efficient Local-Rigid Registration Algorithm. by Hossein Ragheb, Neil A Thacker, Jean-Marie Guyader, Stefan Klein, Nandita M deSouza, Alan Jackson

“…The aims of the study are to improve the accuracy of ADC measurements in liver disease to support quantitative clinical characterisation and reduce the number of patients required for sequential studies of disease progression and therapeutic effects. …”
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A Novel Method of Emergency Situation Evaluation for Deep-Sea Based on Bayesian Network by Kun Lang, Dongsen Si, Zhihong Ma

“…Aiming at the bottleneck problem of insufficient case data for the Bayesian network’s parameter learning, an automatic parameter allocation algorithm is presented based on the domain knowledge. …”
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Studying Three Abstract Artists Based on a Multiplex Network Knowledge Representation by Luis Fernando Gutiérrez, Roberto Zarama, Juan Alejandro Valdivia

“…Discovering the influences between paintings and artists is very important for automatic art analysis. Lately, this problem has gained more importance since research studies are looking into explanations about the origin and evolution of artistic styles, which is a related problem. …”
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Repeatability and genetic parameters for phenotypes of methane emission in crossbred beef × dairy slaughter calves by K.K. Johansen, M. Kargo, O.F. Christensen, M. Bjerring, P. Løvendahl, A.J. Buitenhuis

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ECOLOGICAL RESILIENCE ASSESSMENT FEATURES OF NATURAL-INDUSTRIAL SYSTEMS BY INDEX-BASED METHODS USING SOFT COMPUTING by A.V. Masloboev

“…The method is based on the automatic transformation of estimates into membership functions and fuzzy convolution of the normalized indicators across levels of the organizational hierarchy. …”

Analysis of Flame Evolution Generated from Methyl Laurate Droplet Using Deep Learning by Fikrul Akbar Alamsyah, Chi-Cheng Cheng

“…Our results demonstrate a high accuracy of 0.97 and 0.92 mAP for automatic object segmentation of the flame and droplet. …”
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Research on key technologies of safety monitoring data sharing for railway engineering construction based on blockchain by Yuhong LIU, Liang YANG, Chunhui PIAO, Zhiguo ZHANG

“…In order to solve the problems that the monitoring data was easy to be tampered with in the process of railway engineering construction safety monitoring, and the authenticity of the data might be questioned during the accountability of accidents, a blockchain-based railway engineering construction safety monitoring data sharing model was proposed.The characteristics of automatic execution of smart contracts ensured the transparency of the process of monitoring data on the chain.In the PBFT algorithm, there was a problem that the Byzantine nodes and the normal nodes were selected as the master node with the same probability, a reputation-based practical Byzantine fault tolerance algorithm was proposed.Streaming data on the chain might cause network congestion, which simplified the consensus protocol and reduced the time complexity from O(n²) to O(n).A comparative experiment was conducted using Hyperledger Caliper to prove that the delay of the improved algorithm is lower than PBFT algorithm, and the throughput is higher than PBFT algorithm.A quantitative analysis of the possibility of attack and the probability of successful attack was carried out, and it was determined that the smart contract provides tamper-proof modification for the monitoring data on the chain.Comparative analysis proves that the proposed blockchain-based railway engineering construction safety monitoring data sharing model is good than other models in terms of consensus efficiency, TPS and block generation speed.…”
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Pedagogic natural language processing resources for L2 education: Teachers’ perceptions and beliefs by Carlos Ordoñana-Guillamón, Pascual Pérez-Paredes, Pilar Aguado-Jiménez

“…A training module was designed to provide information on the potential applications of different P-NLPRs, from which quantitative data was gathered (n=77) at PRE- and POST-test. …”
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Research on key technologies of safety monitoring data sharing for railway engineering construction based on blockchain by Yuhong LIU, Liang YANG, Chunhui PIAO, Zhiguo ZHANG

“…In order to solve the problems that the monitoring data was easy to be tampered with in the process of railway engineering construction safety monitoring, and the authenticity of the data might be questioned during the accountability of accidents, a blockchain-based railway engineering construction safety monitoring data sharing model was proposed.The characteristics of automatic execution of smart contracts ensured the transparency of the process of monitoring data on the chain.In the PBFT algorithm, there was a problem that the Byzantine nodes and the normal nodes were selected as the master node with the same probability, a reputation-based practical Byzantine fault tolerance algorithm was proposed.Streaming data on the chain might cause network congestion, which simplified the consensus protocol and reduced the time complexity from O(n²) to O(n).A comparative experiment was conducted using Hyperledger Caliper to prove that the delay of the improved algorithm is lower than PBFT algorithm, and the throughput is higher than PBFT algorithm.A quantitative analysis of the possibility of attack and the probability of successful attack was carried out, and it was determined that the smart contract provides tamper-proof modification for the monitoring data on the chain.Comparative analysis proves that the proposed blockchain-based railway engineering construction safety monitoring data sharing model is good than other models in terms of consensus efficiency, TPS and block generation speed.…”
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VALICO-UD: Treebanking an Italian Learner Corpus in Universal Dependencies by Elisa Di Nuovo, Manuela Sanguinetti, Alessandro Mazzei, Elisa Corino, Cristina Bosco

“…The treebank VALICO-UD is composed of 237 texts written by non-native speakers of Italian (2,234 sentences) and the related target hypotheses, all automatically annotated using UDPipe. A portion of this resource (36 texts corresponding to 398 learner sentences and related target hypotheses)—firstly released on May 2021 in the Universal Dependencies repository—is associated with error annotation and the automatic output is fully manually checked. …”
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Predictive model for determining the indications for automated 3D ultrasound for screening patients at low risk of developing breast tumors by A. E. Garanina, A. V. Kholin

“…Automatic ultrasound examination of the breast (3D ultrasound) has become an important tool in the diagnosis of breast cancer. …”
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Brown adipose tissue machine learning nnU-Net V2 network using TriDFusion (3DF) by Daniel Lafontaine, Stephanie Chahwan, Gustavo Barraza, Burcin Agridag Ucpinar, Gunjan Kayal, Nicolás Gómez-Banoy, Paul Cohen, John L. Humm, Heiko Schöder

“…By leveraging machine learning to discern intricate patterns in imaging data, this study aims to advance the automation of BAT recognition and provide precise quantitative assessment of radiographic features. Results We used a semi-automatic, threshold-based 3DF workflow to segment 317 PET/CT scans containing BAT. …”
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The use of frequency dictionaries in the process of the development of the English language lexical competence of students in IT fields by M. V. Kharina

“…The editing of this dictionary means automatic and manual removal of lexical units that are of no worth for students in terms of their vocabulary expansion. …”
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2dSpAn-Auto: an automated tool for analysis of two-dimensional dendritic spine images by Shauvik Paul, Rahul Pramanick, Nirmal Das, Ewa Baczynska, Zeinab Bedrood, Tapabrata Chakraborti, Subhadip Basu, Jakub Wlodarczyk

“…Abstract Background Quantitative analysis of dendritic spine morphology and density is crucial for understanding synaptic plasticity and its role in neuropsychiatric disorders, including Alzheimer’s disease and schizophrenia. …”
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Handwritten Urdu Characters and Digits Recognition Using Transfer Learning and Augmentation With AlexNet by Aqsa Rasheed, Nouman Ali, Bushra Zafar, Amsa Shabbir, Muhammad Sajid, Muhammad Tariq Mahmood

“…Although a significant amount of literature exists for automatic recognition of handwritten characters of English and other major languages in the world, there exists a wide research gap due to lack of research for recognition of Urdu language. …”
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Comparing Geodesic Filtering to State-of-the-Art Algorithms: A Comprehensive Study and CUDA Implementation by Pierre Boulanger, Sadid Bin Hasan

“…We developed an automatic parameter optimization methodology that eliminates manual tuning by identifying optimal filtering parameters based on image characteristics. …”
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SynPAnal: software for rapid quantification of the density and intensity of protein puncta from fluorescence microscopy images of neurons. by Eric Danielson, Sang H Lee

“…In this article, we describe a software tool designed for the rapid semi-automatic detection and quantification of synaptic protein puncta from 2D immunofluorescence images generated by confocal laser scanning microscopy. …”
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