Application of the artificial neural networks for alpha spectrometry by means of plastic detector CR-39 by Yu. Onishchuk, S. Gorbachov, S. Yurchenko

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Persistence of Yellow fever virus outside the Amazon Basin, causing epidemics in Southeast Brazil, from 2016 to 2018. by Izabela Maurício de Rezende, Lívia Sacchetto, Érica Munhoz de Mello, Pedro Augusto Alves, Felipe Campos de Melo Iani, Talita Émile Ribeiro Adelino, Myrian Morato Duarte, Ana Luísa Furtado Cury, André Felipe Leal Bernardes, Tayrine Araújo Santos, Leonardo Soares Pereira, Maria Rita Teixeira Dutra, Dario Brock Ramalho, Benoit de Thoisy, Erna Geessien Kroon, Giliane de Souza Trindade, Betânia Paiva Drumond

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Enhancing convolutional neural networks in electroencephalogram driver drowsiness detection using human inspired optimizers by Anupam Yadav, Rifat Hussain, Madhu Shukla, Jayaprakash B, Rishiv Kalia, S. Prince Mary, Chou-Yi Hsu, Manoj Kumar Mishra, Kashif Saleem, Mohammed El-Meligy

“…To address this issue, researchers have explored electroencephalogram (EEG)-based detection systems. …”
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Continuous Wave-Diffuse Optical Tomography (CW-DOT) in Human Brain Mapping: A Review by Shuo Guan, Yuhang Li, Yuanyuan Gao, Yuxi Luo, Hubin Zhao, Dalin Yang, Rihui Li

“…Extensive clinical and neuroscience research has attested to the technique’s anatomical precision and reliability, establishing it as a potent instrument in research and clinical practice.…”
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Coordination of smart inverter-enabled distributed energy resources for optimal PV-BESS integration and voltage stability in modern power distribution networks: A systematic review... by Olufunke Abolaji Balogun, Yanxia Sun, Peter Anuoluwapo Gbadega

“…The study concludes by proposing future research directions, including the exploration of smart inverter interactions with legacy grid management systems and the development of robust algorithms for dynamic and adaptive DER coordination. …”
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The role of advanced machine learning in COVID-19 medical imaging: A technical review by Abdul Muiz Fayyaz, Said Jadid Abdulkadir, Shahab Ul Hassan, Safwan Mahmood Al-Selwi, Ebrahim Hamid Sumiea, Lareib Fatima Talib

“…It focuses on approaches such as Deep Learning (DL) algorithms and Transfer Learning, which have demonstrated significant potential in developing automated, accurate COVID-19 detection systems. …”
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Reducing Safety Risks in Construction Tower Crane Operations: A Dynamic Path Planning Model by Binqing Cai, Zhukai Ye, Shiwei Chen, Xun Liang

“…To reduce safety risks in construction tower crane operations, this research proposes a dynamic path planning model for tower crane operations based on computer vision technology and dynamic path planning algorithms. …”
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Interpretation of myocardial perfusion SPECT with attenuation correction. Part 2 by A. A. Ansheles, V. В. Sergienko

“…In April 2013 to April 2019, the Department of Radionuclide Diagnosis, National Medical Research Center of Cardiology, performed myocardial perfusion SPECT with attenuation correction (AC) in 3144 patients with various cardiovascular diseases. …”
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Development and Validation of a Clinical Risk Model for Predicting Malignancy in Patients with Thyroid Nodules by Shiva Borzouei, Ali Safdari, Erfan Ayubi

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Machine learning in dentistry and oral surgery: charting the course with bibliometric insights by Shuangwei Liu, Yuquan Hao, Shijie Zhu, Liyao Wan, Zhe Yi, Zhichang Zhang

“…Keyword bursts indicate the evolution of research focus from traditional machine learning algorithms to deep learning algorithms and the emerging importance of multimodal data and foundation models. …”
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A comprehensive review of AI and machine learning techniques in antenna design optimization and measurement by Pradnya A. Gajbhiye, Satya P. Singh, Madan Kumar Sharma

“…It explores the use of various AI/ML algorithms such as neural networks, decision trees, genetic algorithms, and particle swarm optimization in this context. …”
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Simulation of Minefield Installation in a Video Game Engine by Maksym Maksymov, Oleksii Neizhpapa, Oleksandr Toshev, Maksym Kiriakidi

“…The first objective of this research is to improve damage prediction algorithms, enabling the simulation to more accurately estimate the consequences of ships passing through a minefield. …”
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Cranioplasty: Materials and Methods Review by A. V. Yarikov, A. P. Fraerman, V. A. Leonov, O. A. Perlmutter, S. E. Tikhomirov, A. V. Yaksargin, P. V. Smirnov

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Low-Altitude Unmanned Aerial Vehicle Technology: Current Status and Prospects by Jun Zhang, Lei Chen, Zhijie Gao, Yingxian Duo

“…Through in-depth analysis of the current status and research trends across these three domains, the study proposes future technical directions focusing on bionic configurations, composite materials, multi-source fusion positioning, and hybrid intelligent algorithms. …”
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TTG-Text: A Graph-Based Text Representation Framework Enhanced by Typical Testors for Improved Classification by Carlos Sánchez-Antonio, José E. Valdez-Rodríguez, Hiram Calvo

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Detecting Covid-19 Fake News on Twitter/X in French: Deceptive Writing Strategies by Ming Ming Chiu, Alex Morakhovski, Zhan Wang, Jeong-Nam Kim

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Environmental sustainability indicators applied to bioprocesses: a bibliometric analysis (2005–2024) by Anibal Alviz-Meza, Segundo Rojas-Flores, Ángel Darío González-Delgado

“…The synergy between traditional methodologies and advanced computational approaches constitutes the ideal framework to optimize the sustainability of bioprocesses, establishing a solid base for future research in this field.…”
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Non-Invasive Techniques for Monitoring and Fault Detection in Internal Combustion Engines: A Systematic Review by Norah Nadia Sánchez Torres, Jorge Gomes Lima, Joylan Nunes Maciel, Mario Gazziro, Abel Cavalcante Lima Filho, Cicero Rocha Souto, Fabiano Salvadori, Oswaldo Hideo Ando Junior

“…Finally, concluding remarks point towards future research directions, emphasizing the need to develop the integration of AI algorithms with digital twins for internal combustion engines and identify gaps for further improvements in fault diagnosis and prediction techniques.…”
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An Efficient Analytical Method for Determining the Effects of Silver Nanoparticles on Vibrio parahaemolyticus in Estuarine Water by Xiangyi HOU, Xiaoyang WANG, Yuanyuan ZHANG, Ruohan LIANG, Feng LU, Qianqian YANG, Xiaodan PU, Yan ZHANG, Keming QU, Xuzhi ZHANG

“…Based on a 32-channel C4 detector and special algorithms, we developed a 32-channel electronic microbial growth analyzer (EMGA). …”
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Application of artificial intelligence in gastrointestinal endoscopy in Vietnam: a narrative review by Hang Viet Dao, Binh Phuc Nguyen, Tung Thanh Nguyen, Hoa Ngoc Lam, Trang Thi Huyen Nguyen, Thao Thi Dang, Long Bao Hoang, Hung Quang Le, Long Van Dao

“…In Vietnam, since 2019, several preliminary studies have been conducted to develop AI algorithms for GI endoscopy, focusing on lesion detection. …”
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