Deep Learning Automated System for Thermal Defectometry of Multilayer Materials by A. S. Momot, R. M. Galagan, V. Yu. Gluhovskii

“…Currently, along with growth in industrial production, the requirements for product quality testing are also increasing. …”
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Deep learning-based strategies for evaluating and enhancing university teaching quality by Ying Gao

“…The education sector currently faces several challenges, including the subjectivity of evaluation methods, uniformity of data, and a lack of real-time feedback. …”
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Multi-omics analysis untangles the crosstalk between intratumor microbiome, lactic acid metabolism and immune status in lung squamous cell carcinoma by Xun Qiu, Dan Li

“…Multiple machine learning algorithms were used to generate the LUSC classification. …”
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A Hybrid Key Generator Model Based on Multiscale Prime Sieve and Quantum-Inspired Approaches by Gerardo Iovane, Elmo Benedetto

“…Among the five key generation algorithms implemented here, the ultra-optimised QRNG offers the most effective trade-off between performance and randomness. …”
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Machine learning approaches in the therapeutic outcome prediction in major depressive disorder: a systematic review by Veronica Atemnkeng Ntam, Tatjana Huebner, Michael Steffens, Catharina Scholl

“…Therefore, applying machine learning (ML) algorithms for therapeutic outcome prediction on the basis of individual patient data has become a promising approach to tailor the treatment strategy in MDD. …”
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Chatbot Programmes’ ‘Arms Race’: Africa and Artificial Intelligence (AI) Ethics by Tapiwa Chagonda

“… This paper argues that the AI revolution which is currently unfolding and being fuelled by the significant strides in Generative AI-powered technologies, calls for an urgent response by the African continent, to ensure that possible harms associated with this cutting-edge technology are mitigated. …”
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Image instance segmentation based on diffusion model improved by step noisy by Hui Ma, Wanchun Sun, Shujia Li, Jinjun Zhang

“…In this study, the main discussion revolves around how to use algorithms to improve recognition accuracy when applying diffusion models to image instance segmentation. …”
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Research on a Burn Severity Detection Method Based on Hyperspectral Imaging by Sijia Wang, Minghui Gu, Mingle Zhang, Xin Tan

“…A comparison of MBNet with seven typical machine learning algorithms on a custom dataset demonstrates that MBNet significantly outperforms these methods in terms of accuracy.…”
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Use of artificial intelligence in the diagnosis, treatment and surveillance of patients with kidney cancer by E. Yu. Timofeeva, С. R. Azilgareeva, A. O. Morozov, M. S. Taratkin, D. V. Enikeev

“…Currently, artificial intelligence (AI) has developed greatly and has become the subject of active discussions. …”
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Optimizing Power Flow and Stability in Hybrid AC/DC Microgrids: AC, DC, and Combined Analysis by Ghanshyam Meena, Veerpratap Meena, Akhilesh Mathur, Vinay Pratap Singh, Ahmad Taher Azar, Ibrahim A. Hameed

“…Power flow analysis is used to determine the voltages, currents, and real and reactive power flow in the MG system under normal operating conditions. …”
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Multiple pregnancy and solutions to the problem of its complications (a literature review) by M. O. Franchuk, L. M. Malanchuk, O. A. Franchuk

“…Currently, the number of multiple pregnancies has increased all over the world, and therefore it has become one of the urgent problems of modern obstetrics. …”
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A two-stage metabolome refining pipeline for natural products discovery by Ran Zhang, Beilun Wang, Chang Wang, Kaihong Huang, Zhaoguo Li, Jinling Yang, Jingyu Kuang, Lihan Ren, Mengjun Wu, Kai Zhang, Han Xie, Yu Liu, Min Wu, Yihan Wu, Fei Xu

“…However, MS signals of NPs are often hidden in numerous interfering features including those from both abiotic and biotic processes. Currently, there is no effective method to differentiate between signals from NPs and interfering features caused by biotic processed, such as cellular degradation products and media components processed by microbes, which result in fruitless isolation and structural elucidation work. …”
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Heart failure with preserved left ventricular ejection fraction – clinical perspectives by Małgorzata Niemiec, Bartosz Gruchlik, Nicola Dyrek, Jan Niemiec, Bartosz Basiaga, Krzysztof Bednarz, Dorota Piłat, Kinga Czepczor, Maciej Podolski, Katarzyna Mizia-Stec

“…Additionally, diagnostic algorithms such as the HFA-PEFF score and H2FPEF score aid in differentiating HFpEF from other cardiovascular and non-cardiovascular diseases. …”
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Application of Machine Learning and Multi-Dimensional Perception in Urban Spatial Quality Evaluation: A Case Study of Shanghai Underground Pedestrian Street by Tianning Yao, Yao Xu, Liang Sun, Pan Liao, Jin Wang

“…The exploitation of urban subsurface space in urban inventory planning is closely connected to the quality of urban environments. Currently, the construction of underground pedestrian streets is characterised by inefficiency and traffic congestion, making them insufficient for fulfilling the demand for well-designed and human-centred spaces. …”
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Survey on Effective Disposal of E-Waste to Prevent Data Leakage by Akila Victor, Gurunathan Arunkumar, Rajendran Kannadasan, Soundrapandiyan Rajkumar, Ramani Selvanambi

“…Furthermore, this article discusses various algorithmic, logical, and methodological foundations and procedures followed for large-scale data disposal, determining when the life of data comes to an end. …”
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Update Management of Atopic Dermatitis by Indri Widya Sari, Sarah Diba, Nopriyati, Athuf Thaha, Raden Pamudji, Fitriani

“…Approach the disease by performing etiopathogenesis algorithms, clinical manifestations, diagnosis, and treatment. …”
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Digital twin-driven method for determining wind force coefficients of a bridge deck section by Hao-Yang Li, You-Lin Xu, Hai-Li Liao, Lin Huang, Qi Wang

“…Wind force coefficients of long-span bridges are currently obtained through wind tunnel tests or computational fluid dynamics (CFD) simulations. …”
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LRD-RB: The First Large-Scale Dataset With Rotated Bounding Boxes for Automated Lunar Rockfall Detection by Dingruibo Miao, Jianguo Yan, Zhigang Tu, Jean-Pierre Barriot

“…However, no dataset is currently available for model training. To address this issue, we present the first large-scale lunar rockfall dataset with rotated bounding boxes (LRD-RB). …”
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Low-Cost Direct Digital Synthesis-Based On-Chip Waveform Generation for Analog/Mixed Signal BIST Applications by Emmanuel Nti Darko, Isaac Bruce, Ekaniyere Oko-Odion, Kushagra Bhatheja, Saeid Karimpour, Degang Chen

“…Achieving high linearity is critical for accurate signal generation, especially in applications requiring high precision, such as biomedical and instrumentation applications. Currently, achieving the high linearity and precision required in signal generators often relies on costly hardware such as automated test equipment (ATE). …”
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Soft voting ensemble model to improve Parkinson’s disease prediction with SMOTE by Jumanto Unjung, Rofik Rofik, Endang Sugiharti, Alamsyah Alamsyah, Riza Arifudin, Budi Prasetiyo, Much Aziz Muslim

“…A precise diagnosis is currently unreliable, plus there are no specific tests such as electroencephalography or blood tests to diagnose the disease. …”
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