Artificial intelligence and natural language processing for easy-to-read texts by Horacio Saggion

“…For a long time, artificial intelligence (AI) and natural language processing (NLP) have dedicated research efforts in the field of automatic text simplification to the development of methods to automate the production of easy-to-read texts. However, in spite of AI hype, the problem persists. …”
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Research on boundary control of vehicle-mounted flexible manipulator based on partial differential equations. by Yuzhi Tang

“…These advancements not only pave the way for more sophisticated robotic implementations but also have broad implications for the future of automated systems in various industries.…”
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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

“…Extracting valuable information from unstructured clinical text presents a significant challenge, necessitating automated tools for efficient data mining. Natural language processing (NLP) methods have been pivotal in this endeavor, aiming to extract crucial clinical concepts embedded within free-form text. …”
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MRI Correlates of Parkinson’s Disease Progression: A Voxel Based Morphometry Study by Valentina Fioravanti, Francesca Benuzzi, Luca Codeluppi, Sara Contardi, Francesco Cavallieri, Paolo Nichelli, Franco Valzania

“…We investigated structural brain differences between a group of early-mild PD patients at different phases of the disease and healthy subjects using voxel-based morphometry (VBM). 20 mild PD patients compared to 15 healthy at baseline and after 2 years of follow-up. VBM is a fully automated technique, which allows the identification of regional differences in the gray matter enabling an objective analysis of the whole brain between groups of subjects. …”
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The Threat of Tomorrow: Impacts of Artificial Intelligence-Enhanced Cyber-attacks on International Relations by Esra Merve Çalışkan

“…Cyber-attack detection has become more automated, targeted, and challenging due to rapid advances in AI. …”
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Artificial Intelligence Technology for Assessing the Practical Knowledge of Air Traffic Controller Students Based on Their Responses in Multitasking Situations by Matej Antoško, Volodymyr Polishchuk, Martin Kelemen, Anton Korniienko, Miroslav Kelemen

“…The developed technology will enable the integration of automated knowledge and skills assessment systems into the real educational process and the identification of problematic topics and tasks in the training of individuals. …”
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Coaching 5.0, coaching for the fifth industrial revolution by Jazz Rasool

“…These have now started to provide affordances for automating provision of insight and empowerment in coaching business leaders and staff. …”
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Recherche d’indices lexicosyntaxiques de segmentation et de liage par une analyse automatique de corpus by Yves Bestgen

“…This study uses an automated corpus analysis technique to try to provide a complementary point of view to that of more qualitative studies of segmentation and linking indices, such as adverbial expressions, connectors and anaphora. …”
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Deep Learning Approach for Automatic Classification of Ocular and Cardiac Artifacts in MEG Data by Ahmad Hasasneh, Nikolas Kampel, Praveen Sripad, N. Jon Shah, Jürgen Dammers

“…The major advantages of the proposed method are as follows: (1) it is a fully automated and user independent workflow of artifact classification in MEG data; (2) once the model is trained there is no need for auxiliary signal recordings; (3) the flexibility in the model design and training allows for various modalities (MEG/EEG) and various sensor types.…”
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STBM: secure and trustworthy blockchain-based model for cybersecurity service transactions by PIAO Guirong, ZHU Jianming

“…In addition, a transaction chain was established for automated service transactions, adopting a post-service payment model to ensure the security and integrity of transactions. …”
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Architecture of distributed geoinformation technology for snow cover monitoring in circumstances of limited telecommunications accessibility by Yu. V. Belysheva, D. D. Sutyagin, E. S. Zimina

“…This work aims to develop an architecture of geoinformation technology for snow cover monitoring with the purpose of addressing the problem of automating the collection of snow cover indicators and their further maintenance. …”
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Predicting pack-ice seal occupancy of ice floes along the Western Antarctic Peninsula. by Michael J Wethington, Bilgecan Şen, Heather J Lynch

“…This work represents another step in the pipeline required to automate the survey of pack-ice seals using satellite imagery, a necessary step towards pan-Antarctic monitoring of these key marine predators.…”
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Spatial Information in Autonomous Modal Parameter Estimation by Randall J. Allemang, Allyn W. Phillips

“…While autonomous modal parameter estimation means slightly different things to different researchers and practitioners, for the purpose of this discussion, autonomous will require an automated procedure which sorts and processes a large number of possible modal parameter solutions to yield one consistent estimate with no user interaction after initial thresholds are chosen. …”
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The advantages of lexicon-based sentiment analysis in an age of machine learning. by A Maurits van der Veen, Erik Bleich

“…Assessing whether texts are positive or negative-sentiment analysis-has wide-ranging applications across many disciplines. Automated approaches make it possible to code near unlimited quantities of texts rapidly, replicably, and with high accuracy. …”
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Measuring and modelling functional moat area in perennially ice-covered Lake Fryxell, Antarctica by Michael S. Stone, Mark R. Salvatore, Hilary A. Dugan, Madeline E. Myers, Peter T. Doran

“…We have also tested a semi-automated approach for measuring moat area and found that it consistently underestimated the manual record, which we suspect may be due to the lower spatial resolution of images used in this versus the manual approach. …”
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EXPLORING THE LEGALITY OF AI IN CUSTOMS PROCEDURES by Andrei-Alexandru STOICA, Aurel Ștefan PICA

“…With the rapid advancement of AI, customs authorities worldwide are increasingly adopting automated systems to improve the efficiency, accuracy, and security of cross-border trade operations. …”
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Discovering Object Stories: Linking Unstructured Museum Data Through Semantic Annotation by Sarah Middle, Maria Aristeidou, Elton Barker, Daniel Pett, Sarah Alcock

“…A user evaluation with cultural heritage professionals revealed usability challenges and areas for improvement, with Recogito Studio receiving a UMUX score of 73.3 and recommendations include enhancing geo-tagging, incorporating Named Entity Recognition, and developing automated workflows for Linked Open Data production.…”
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Victim Verification with the Use of Deep Metric Learning in DVI System Supported by Mobile Application by Zbigniew Piotrowski, Marta Bistroń, Gabriel Jekateryńczuk, Paweł Kaczmarek, Dymitr Pietrow

“…The system partially automates photo comparisons by DVI teams, improving efficiency, reducing identification time, and limiting the exposure of operators to graphic images. …”
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MUFFNet: lightweight dynamic underwater image enhancement network based on multi-scale frequency by Dechuan Kong, Dechuan Kong, Yandi Zhang, Xiaohu Zhao, Yanqiang Wang, Lei Cai

“…This leads to blurry images, severely hindering the performance of automated systems.MethodsWe propose MUFFNet, an underwater image enhancement network leveraging multi-scale frequency analysis to address the challenge. …”
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Brain MRI Segmentation with Multiphase Minimal Partitioning: A Comparative Study by Elsa D. Angelini, Ting Song, Brett D. Mensh, Andrew F. Laine

“…This paper presents the implementation and quantitative evaluation of a multiphase three-dimensional deformable model in a level set framework for automated segmentation of brain MRIs. The segmentation algorithm performs an optimal partitioning of three-dimensional data based on homogeneity measures that naturally evolves to the extraction of different tissue types in the brain. …”
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