LEVELS OF PATIENTS EXPOSURE AND A POTENTIAL FOR OPTIMIZATION OF THE PET DIAGNOSTICS IN THE RUSSIAN FEDERATION by L. A. Chipiga, I. A. Zvonova, D. V. Ryzhkova, M. A. Menkov, М. B. Dolgushin

“…The effective doses of patients from combined positron emission computed tomography examinations were estimated as a sum of the dose from the internal exposure (injected radiopharmaceutical) and the external exposure (computed tomography scan). …”
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A novel automated CT biomarker to predict outcomes in acute ischemic stroke: net water uptake by Monica Mallavarapu, Hyun Woo Kim, Ananya Iyyangar, Sergio Salazar-Marioni, Albert J. Yoo, Luca Giancardo, Sunil A. Sheth, Jerome A. Jeevarajan

“…Reproducible imaging metrics that account for the degree of hypo-attenuation on non-contrast computed tomography (NCCT) may be better suited to guide treatments. …”
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AI-driven pharmacovigilance: Enhancing adverse drug reaction detection with deep learning and NLP by Dr. Bharti Khemani, Dr. Sachin Malave, Samyukta Shinde, Mandvi Shukla, Razzaq Shikalgar, Harshita Talwar

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Peptide Receptor Radionuclide Therapy Using ⁹⁰Y- and ¹⁷⁷Lu-DOTATATE Modulating Atherosclerotic Plaque Inflammation: Longitudinal Monitoring by ⁶⁸Ga... by German Rubinstein, Harun Ilhan, Peter Bartenstein, Sebastian Lehner, Marcus Hacker, Andrei Todica, Mathias Johannes Zacherl, Maximilian Fischer

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Una experiencia docente en el empleo de los simuladores gráficos en el desarrollo de prácticas de laboratorios de Sistemas Integrados de Manufactura. // An educational experience w... by G. González Rey, J. Wellesley-Bourke Funcasta

“…<br />In the work some examples of graphical simulators are presented as important tools in the development of an educational<br />activity in a Cell of Manufacturing during a course of Computer Integrated Manufacturing. In this experience, was developed<br />an integration of CNC machines, robots, conveyor flexible lines, inspection systems and software for direction of all<br />processes.…”
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Opinion mining using ensemble model for restaurant feedback analysis by Rohan S. Kamath, M. R. Kaushik, M. Ramakrishna

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A Detailed Comparative Analysis of Automatic Neural Metrics for Machine Translation: BLEURT &amp; BERTScore by Aniruddha Mukherjee, Vikas Hassija, Vinay Chamola, Karunesh Kumar Gupta

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Digital mono-pulse method in cylindrical antenna by W. Leśniak, J. Marszal, R. Salamon, M. Rudnicki, A. Schmidt

“…The only change required is the generation of two deflected beams and some simple computations. The new approach to mono-pulse technique, with application of digital signal processing is presented in the paper. …”
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Ghost Imaging for a Reflected Object with Large Incident Angles by Suqin Nan, Yanfeng Bai, Xiaohui Shi, Qian Shen, Hengxing Li, Lijie Qu, Xiquan Fu

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Low-Complexity One-Step Digital Back-Propagation for Single Span High-Capacity Coherent Transmissions by Xingyu Zhou, Qunbi Zhuge, Meng Qiu, Fangyuan Zhang, Mohammed Sowailem, Thang M. Hoang, Meng Xiang, Baojian Wu, Kun Qiu, David V. Plant

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A Super-Resolution Approach for Image Resizing of Infant Fingerprints With Vision Transformers by Joao H. P. Machado, Barbara De O. Koop, Marcelo Filipak, Marco A. C. Barbosa, Jefferson T. Oliva, Luiz Fernando Puttow Southier, Dalcimar Casanova, Marcelo Teixeira

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A Review on Resource-Constrained Embedded Vision Systems-Based Tiny Machine Learning for Robotic Applications by Miguel Beltrán-Escobar, Teresa E. Alarcón, Jesse Y. Rumbo-Morales, Sonia López, Gerardo Ortiz-Torres, Felipe D. J. Sorcia-Vázquez

“…Our discussion divides the article into four critical aspects that high-cost and low-cost embedded systems must include to execute real-time control and image processing tasks, applying TinyML techniques: Hardware Architecture, Vision System, Power Consumption, and Embedded Software Platform development environment. …”
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Deep learning in microbiome analysis: a comprehensive review of neural network models by Piotr Przymus, Krzysztof Rykaczewski, Adrián Martín-Segura, Jaak Truu, Enrique Carrillo De Santa Pau, Mikhail Kolev, Mikhail Kolev, Irina Naskinova, Aleksandra Gruca, Alexia Sampri, Alexia Sampri, Marcus Frohme, Alina Nechyporenko, Alina Nechyporenko

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DIGITAL DEVICES FOR GRAIN CLASSIFICATION: EFFICIENCY AND ACCURACY IN THE FOOD INDUSTRY by Greice Neitzel, Rogério Carpes, Rita de C. M. Monteiro, Gizele I. Gadotti

“…The study concluded that adopting computer vision provides a reliable advantage, enhancing the standardization and efficiency of the grain classification process.…”
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Survey on terminology extraction from texts by Kang Xu, Yifan Feng, Qiandi Li, Zhenjiang Dong, Jianxiang Wei

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Explainability of Network Intrusion Detection Using Transformers: A Packet-Level Approach by Pahavalan Rajkumardheivanayahi, Ryan Berry, Nicholas U. Costagliola, Lance Fiondella, Nathaniel D. Bastian, Gokhan Kul

“…Network Intrusion Detection Systems (NIDS) are critical in ensuring the security of connected computer systems by actively detecting and preventing unauthorized activities and malicious attacks. …”
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Comparative Analysis of T5 Model Performance for Indonesian Abstractive Text Summarization by Mohammad Wahyu Bagus Dwi Satya, Ardytha Luthfiarta, Mohammad Noval Althoff

“…The rapid growth of digital content has created significant challenges in information processing, particularly in languages like Indonesian, where automatic summarization remains complex. …”
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Audio-Driven Facial Animation with Deep Learning: A Survey by Diqiong Jiang, Jian Chang, Lihua You, Shaojun Bian, Robert Kosk, Greg Maguire

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Effective Machine Learning Techniques for Non-English Radiology Report Classification: A Danish Case Study by Alice Schiavone, Lea Marie Pehrson, Silvia Ingala, Rasmus Bonnevie, Marco Fraccaro, Dana Li, Michael Bachmann Nielsen, Desmond Elliott

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Listening to the noise: random fluctuations reveal gene network parameters by Brian Munsky, Brooke Trinh, Mustafa Khammash

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