Expériences sur l’analyse morphosyntaxique des corpus oraux avec l’annotateur multi-niveaux DisMo by George Christodoulides, Giulia Barreca

“…We discuss the theoretical and practical considerations that informed the choice of levels of annotation, types of phenomena detected, and tag sets, and we present a performance evaluation of the automatic annotation.…”
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Stemming as a basis for some non-conventional methods of information retrieval by Polona Vilar, Jure Dimec

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Enhancing the classification of isolated theropod teeth using machine learning: a comparative study by Carolina S. Marques, Emmanuel Dufourq, Soraia Pereira, Vanda F. Santos, Elisabete Malafaia

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Standard Rifle of the MSBS-5.56K Small Arm System as the Main “Polish Future Soldier” Weapon (part II) by Norbert Piechota, Ryszard Woźniak, Mirosław Zahor

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Predictive analysis of solubility data with pressure and temperature in assessing nanomedicine preparation via supercritical carbon dioxide by Hashem O. Alsaab, Yusuf S. Althobaiti

“…Abstract This work presents a comprehensive study on the prediction of phenytoin solubility at supercritical state using advanced techniques including machine learning analysis. …”
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Design and Tests of a Large-Opening Flexible Seedling Pick-Up Gripper with Multiple Grasping Pins by Luhua Han, Meijia Zhang, Yan Wang, Guoxin Ma, Qizhi Yang, Yang Liu

“…The pick-up gripper, as a core component of automatic transplanting systems, presents challenges in reliably grasping seedlings. …”
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Improved lightweight health identification method for plug seedling based on FPGA by Yatao Li, Jiahang Jiang, Junlang Ou, Junhua Tong, Yufei Lin, Jintao Cao

“…The use of programmable FPGA instead of traditional PC computer can greatly reduce the processor volume, and accelerate the running speed of traditional algorithm for plug seedling information acquisition which can reduce the processor cost. This paper presents a visual recognition system based on FPGA for real-time detection of plug seedlings to identify empty or poorly grown seedlings in automatic seedling transplanting. …”
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Identification of green leafhoppers (cicadellidae) in vineyards through an automatic image acquisition system from yellow sticky traps associated with deep-learning by Proença Maria da Conceição, Rebelo Maria Teresa, Valent Riccardo, Mateus Rebeca, Gaspar Pedro Diniz, Lopes Carlos Manuel, Franco José Carlos

“…This work presents an innovative approach to expedite the identification process of green leafhoppers by combining a deep-learning algorithm with an automatic camera system that captured high-resolution images from yellow sticky traps. …”
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Keyphrase generation for the Russian-language scientific texts using mT5 by Anna V. Glazkova, Dmitry A. Morozov, Marina S. Vorobeva, Andrey Stupnikov

“…In this work, we applied the multilingual text-to-text transformer (mT5) to the task of keyphrase generation for Russian scientific texts using the Keyphrases CS&Math Russian corpus. The automatic selection of keyphrases is a relevant task of natural language processing since keyphrases help readers find the article easily and facilitate the systematization of scientific texts. …”
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Bridging Interoperability Gaps Between LCA and BIM: Analysis of Limitations for the Integration of EPD Data in IFC by Aitor Aragón, Paulius Spudys, Darius Pupeikis, Óscar Nieto, Marcos Garcia Alberti

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Automatic Characterization of the Physiological Condition of the Carotid Artery in 2D Ultrasound Image Sequences Using Spatiotemporal and Spatiospectral 2D Maps by Hamed Hamid Muhammed, Jimmy C. Azar

“…Automatic differentiation, between cases of these three categories, was achieved with a sensitivity of 97.1% and a specificity of 74.5%. …”
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Computer Control System for Heavy Machine Fixtures Motion and its Application for Automatic Generation of Cutting Tools Trajectories According to the Given Criteria by L. Płonecki, W. Trąmpczyński, W. Gierulski, J. Cendrowicz, K. Sokołowski

“…The computer control system for heavy machine (loaders, excavators) fixtures motion is presented and discussed in the paper. It enables the automatic generation of cutting tool (buckets) trajectories to fulfil the assigned criteria, for example the minimum unit energy criterion or the maximum disposable force criterion. …”
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Automatic Generation of Noise-Like or Mode-Locked Pulses in an Ytterbium-Doped Fiber Laser by Using Two-Photon-Induced Current for Feedback by Hsiao-Hua Wu, Pin-Han Huang, Yuan-He Teng, Alexey Zaytsev, Osamu Wada, Ci-Ling Pan

“…We present a simple, reliable, and fast method to automatically generate noise-like or mode-locked pulses in a fiber laser. …”
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MAP3D: An explorative approach for automatic mapping of real-world eye-tracking data on a virtual 3D model by Isabell Stein, Helen Jossberger, Hans Gruber

“…A newly developed approach (MAP3D) is presented that enables generating a 3D model and automatic mapping of fixations to this virtual 3D model of the stimulus. …”
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Diagnostic Possibilities of Standard Automatic and FunctionSpecific Perimetry (HFA, Octopus) in the Study of the Visual Field in Patients with Compression in the Chiasm-Sellar Regi... by N. A. Gavrilova, E. E. Ioyleva, N. S. Gadzhieva, O. E. Tishchenko, N. Yu. Kutrovskaya, A. V. Zinov’eva

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Managerial Challenges in Implementing European Rail Traffic Management System, Remote Train Control, and Automatic Train Operation: A Literature Review by Xavier Morin, Nils O. E. Olsson, Albert Lau

“…It aims to increase and understand the opportunities presented by digitalization and automation in rail operations. …”
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SAR-MINF: A Novel SAR Image Descriptor and Matching Method for Large-Scale Multidegree Overlapping Tie Point Automatic Extraction by Shuo Li, Xiongwen Yang, Xiaolei Lv, Jian Li

“…The automatic extraction of large-scale tie points (TPs) for Synthetic Aperture Radar (SAR) images is crucial for generating SAR Digital Orthophoto Maps (DOMs). …”
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Unsupervised Deep Clustering on Spatiotemporal Objects Extracted from 4D Point Clouds for Automatic Identification of Topographic Processes in Natural Environments by J. Wang, K. Anders

“…In this paper, we present a time series-based unsupervised deep clustering framework for identifying topographic processes without manual feature engineering and annotations. …”
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Statistical shape model-based automatic evaluation and validation of anatomical measures on healthy femur shapes from limited field of view imaging by Jasper Kwasny, Cynthia Fantini Pagani, Uwe G. Kersting, Bhushan Borotikar

“…This study used a statistical shape modelling approach to automatically determine seven anatomical measures of the femur from limited field-of-view 3D imaging. …”
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Automatic Number Plate Detection and Recognition System for Small-Sized Number Plates of Category L-Vehicles for Remote Emission Sensing Applications by Hafiz Hashim Imtiaz, Paul Schaffer, Paul Hesse, Martin Kupper, Alexander Bergmann

“…No ANPR system is designed explicitly for Category L vehicles, especially mopeds. In this work, we present an automatic number plate detection and recognition system for Category L vehicles (L-ANPR) specially developed to recognize L-vehicle number plates of various sizes and colors from different categories and countries. …”
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