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  1. 24341
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    Application of Concentration-Area fractal modeling and artificial neural network to identify Cu, Zn±Pb geochemical anomalies in Hashtjin area, NW of Iran by Ali Imamalipour, Hamed Ebrahimi, Amir reza Abdollahpur

    Published 2024-10-01
    “…Identification of geochemical anomalies plays an essential role in mineral exploration. Recent research investigations have shown that Machine Learning (ML) algorithms can identify geochemical anomalies associated with mineralization that represent targets for mineral exploration. …”
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    Article
  3. 24343

    The outpatient medical care in patients with chronic diseases under dispensary supervision in the conditions of the COVID-19 pandemic. Temporary guidelines. Version 2 by O. M. Drapkina, L. Y. Drozdova, S. N. Avdeev, S. A. Boytsov, E. S. Ivanova, А. D. Kaprin, T. A. Kunaeva, Е. A. Lavrenova, M. A. Liusan, I. V. Maev, J. S. Rakowskaya, I. V. Samorodskaya, А. I. Chesnikova, R. N. Shepel

    Published 2022-01-01
    “…Guidelines were approved at the meeting of the academic council of the National Medical Research Center for Therapy and Preventive Medicine, Moscow (Protocol No. 10 of 19.10.2021).The aim of these guidelines is to provide primary care physicians with scientifically based algorithms for the implementation of dispensary monitoring in patients with chronic non-communicable diseases in the conditions of the new coronavirus infection (COVID-19) pandemic, including the use of telemedicine technologies.The organization and conduct of high-quality medical follow-up are the most important tasks aimed at both reducing the risks of developing complications of chronic non-communicable diseases and reducing overall mortality, especially in the current conditions of the COVID-19 pandemic. …”
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    Article
  4. 24344

    From Genomics to AI: Revolutionizing Precision Medicine in Oncology by Giulia Calvino, Juliette Farro, Stefania Zampatti, Cristina Peconi, Domenica Megalizzi, Giulia Trastulli, Sarah Andreucci, Raffaella Cascella, Claudia Strafella, Carlo Caltagirone, Federico Grifalchi, Emiliano Giardina

    Published 2025-06-01
    “…Methods: This review synthesizes current research on the applications of genomics, including next-generation sequencing, and AI, such as machine learning and deep learning, across the cancer care continuum. …”
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    Article
  5. 24345

    Hydropneumatic storage methodology towards a new era of hybrid energy system's efficiency and flexibility by JoaoS.T. Coelho, Modesto Pérez-Sánchez, Oscar E. Coronado-Hernández, Mohsen Besharat, Rui-Lin Feng, Elias Tasca, Ling Zhou, Helena M. Ramos

    Published 2024-12-01
    “…This research explores the link between hydropneumatic energy storage capacity and the efficiency and flexibility of hybrid energy systems in water-energy solutions. …”
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    Article
  6. 24346

    Physics-informed machine learning to predict solvatochromic parameters of designer solvents with case studies in CO2 and lignin dissolution by Mood Mohan, Nikhitha Gugulothu, Sreelekha Guggilam, T. Rajitha Rajeshwar, Michelle K. Kidder, Jeremy C. Smith

    Published 2025-06-01
    “…The polarity of solvents plays a critical role in various research applications, particularly in their solubilities. …”
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    Review of Artifacts and Related Processing in Ophthalmic Optical Coherence Tomography Angiography (OCTA) by Zhefan Lin, Yitao Hu, Gongpu Lan, Jingjiang Xu, Jia Qin, Lin An, Yanping Huang

    Published 2025-05-01
    “…This development facilitates broader and deeper applications of OCTA in both research and clinics of ophthalmology.…”
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    Reinforcement learning for vehicle-to-grid: A review by Hongbin Xie, Ge Song, Zhuoran Shi, Jingyuan Zhang, Zhenjia Lin, Qing Yu, Hongdi Fu, Xuan Song, Haoran Zhang

    Published 2025-03-01
    “…However, with the random integration of a large number of electric vehicles into the grid, the uncertainty and complexity of the system have significantly increased, posing substantial challenges to traditional algorithms. Reinforcement learning has shown great potential in addressing these high-dimensional dynamic scheduling optimization problems. …”
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    Water desalination using waste heat recovery of thermal power plant in tropical climate; optimization by AI by Ehsanolah Assareh, Mohammad Firoozzadeh, Mohammad Zoghi, Ali Zare, Yasaman Ghazi, Ali Shahin-Banna

    Published 2024-10-01
    “…The primary objective of the current research is to address the pressing issue of water scarcity in Khuzestan Province, Iran, specifically targeting the Khorramshahr gas power plant. …”
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    Article
  17. 24357

    A Machine Learning Implementation to Predictive Maintenance and Monitoring of Industrial Compressors by Ahmad Aminzadeh, Sasan Sattarpanah Karganroudi, Soheil Majidi, Colin Dabompre, Khalil Azaiez, Christopher Mitride, Eric Sénéchal

    Published 2025-02-01
    “…Integrating machine learning algorithms leveraged by advanced data acquisition systems is emerging as a pivotal approach in predictive maintenance. …”
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  18. 24358

    Real-time monitoring of water quality dynamics using low-cost sensor networks in Lagos lagoon by Idowu Ayisat Aneyo, Mumin Olatunji Oladipo, Funmilayo Victoria Doherty, Julius Osato Ehigie, Adebayo Fasasi Adebari, Abdulwakeel Oluwatobi Atoyebi, Peter Ozomata Balogun, Ambrose Obinna Ikpele

    Published 2025-01-01
    “…This study demonstrates the feasibility of using artificial intelligence-powered, cost-effective sensor technology for continuous aquatic monitoring, with implications for biodiversity conservation and water resource management. Future research should focus on enhancing wireless communication, refining species detection algorithms and improving sensor resilience in harsh aquatic conditions.…”
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    CNN Based Fault Classification and Predition of 33kw Solar PV System with IoT Based Smart Data Collection Setup by K. Punitha, G. Sivapriya, T. Jayachitra

    Published 2024-12-01
    “…This research presents a unique machine learning model based fault diagnosis and detection method for a 33 KW solar PV system at P.S.R. …”
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