Application of Artificial Intelligence Algorithms in the Field of Antimicrobial Peptide Prediction by QIAN Yuchen, NIE Ting, HUA Yanming, XU Shiying, GUO Sheng, ZHANG Xin, LUO Xiaohu, LIU Yanan

“…Currently, several specialized databases have been established, providing rich resources for algorithmic model training. …”
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Insulation Online Monitoring Method for Dry-Type Current Transformers Based on Virtual Voltage by Junjie Zhang, Yu Peng, Xiaohui Hu, Zhipeng Li, Li Yan, Can Ding, Ruihua Zhao

“…First, the leakage current is collected through a core-type current transformer on the end-screen grounding line. …”
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DEVELOPMENT OF THE ALGORITHM FOR CHOOSING THE OPTIMAL SCENARIO FOR THE DEVELOPMENT OF THE REGION'S ECONOMY by I. S. Borisova

“…Purpose: the article deals with the development of an algorithm for choosing the optimal scenario for the development of the regional economy. …”
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An Adaptive Threshold Updating Algorithm for PMT-Based Ultraviolet Communication by Jingyang Chen, Yuan Ren, Fei Long, Lingfeng Li, Weijie Liu, Jian Chen, Dezhi Yang, Chen Gong, Zhengyuan Xu

“…Moreover, an outdoor experiment is conducted to verify the algorithm's performance under sunlight. The experimental results demonstrate that the adaptive threshold algorithm effectively adjusts the pulse detection threshold based on the current channel state, ensuring robust communication performance in dynamic channel conditions.…”
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Studying the Possibility of Optimizing the Statin Therapy Algorithm in Outpatient Practice by D. V. Nebieridze, N. M. Akhmedzhanov, S. A. Davitashvili, A. S. Lishuta, A. S. Safaryan

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Evaluation and Improvement of Generalization Performance of SAR Ship Recognition Algorithms by Chi Zhang, Xi Zhang, Jie Zhang, Gui Gao, Yongshou Dai, Genwang Liu, Yongjun Jia, Xiaochen Wang, Yi Zhang, Meng Bao

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Predicting Scientific Research Impacts in Biotechnology by Machine Learning Algorithms by Ghasem Azadi Ahmadabadi

“…This study aims to analyze the interrelationships among variables influencing scientific outputs and to identify the most effective machine learning algorithms for predicting their scientific, social, and economic impacts.Methodology: The current research is applied in purpose and descriptive in method, utilizing a scientometric approach. …”
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Research on Control Method of Electron Accelerator Based on Simulink Simulation by YUE Hongwei1, LI Zhongping2, 3, ZHOU Youwei2, CAO Shuchun2, 3, REN Jieru1, ZHANG Zimin2, 3, , ZHAO Yongtao1

“…The basic principles of each algorithm were first introduced. Then, a mathematical simulation model for beam current control was constructed based on the processing of experimental data from electron beam emission experiments and the theoretical formulas related to electron accelerator beam emission. …”

Comparative Analysis of Supervised Learning Techniques for Forecasting PV Current in South Africa by Ely Ondo Ekogha, Pius A. Owolawi

“…This work presents a comparative examination of supervised learning algorithms optimized with particle swarm optimization for estimating photovoltaic output current. …”
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Artificial Intelligence in Radiology and Medical Imaging in Romania: Current Applications and Future Perspectives by Ioana Andreea GHEONEA

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The Use of Machine Learning in the Diagnosis of Kidney Allograft Rejection: Current Knowledge and Applications by Tanja Belčič Mikič, Miha Arnol

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Artificial intelligence and chordoma: A scoping review of the current landscape and future directions by Eddie Guo, Rafael D. Sanguinetti, Lyndon Boone, Jiawen Deng, Husain Shakil, Mehul Gupta

“…The studies addressed diverse clinical tasks: 7 focused on differentiating chordomas from other tumours or classifying subtypes, 6 on survival prediction, 2 on tumour segmentation, 2 on outcome prediction, and 4 miscellaneous tasks. Common algorithms used included convolutional neural networks, support vector machines, random forests, and clustering algorithms. …”
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The importance of biochemical and ultrasound markers in prenatal diagnosis: current methods and development perspectives by Adam Torbicki, Piotr Gaworek, Michał Korpalski, Krzysztof Pawlikowski, Marek Żygłowicz, Dominik Augustyn, Maria Pawluczyk, Mateusz Marciniak, Alicja Trybuła

“…It aims to characterize the most relevant diagnostic markers, evaluate the sensitivity and specificity of current methods, and discuss modern advancements such as non-invasive prenatal testing (NIPT). …”
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Artificial Intelligence Implementation in Library Information Systems: Current Trends and Future Studies by Albertoes Pramoekti Narendra, Christine Dewi, Lanyta Setyani Gunawan, Ambrosius Sindu Ardi

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Assessing the Current Limitations of Large Language Models in Advancing Health Care Education by JaeYong Kim, Bathri Narayan Vajravelu

“…The practical use of current LLMs in health care sparks great anticipation for new avenues, yet its embracement also elicits considerable concerns that necessitate careful deliberation. …”
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Current Topics on the Integration of Artificial Intelligence in the Histopathological and Molecular Diagnosis of Uveal Melanoma by Serena Salzano, Giuseppe Broggi, Andrea Russo, Teresio Avitabile, Antonio Longo, Rosario Caltabiano, Manuel Mazzucchelli

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Evaluative representations of the student audience in the context of current processes in Donbas: comparison of studies by L. B. Vnukova

“…The article examines data on attitudes towards historical events, current socio-political processes, the conduct of a special military operation and partial mobilization, issues of self-identification, etc. …”
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Post COVID-19 Conditions and Neurocognitive Impairment—Current Findings and Clinical Implications by Tarek Jebrini, Michael Ruzicka, Hans Stubbe, Kristina Adorjan

“…We conducted a narrative perspective synthesis of current findings of NCI, standardized assessments (e.g., MoCA, PCCIS), and their association with inflammatory parameters. …”
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A review of the use of technology in sport coaching: current trends and future directions by Fadli Ihsan, Ahmad Nasrulloh, Sigit Nugroho, Rina Yuniana

“…Background and purpose This article aims to provide an overview of the use of technology in sports training, explore current trends, and highlight future directions in this field. …”
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Advancing cybersecurity and privacy with artificial intelligence: current trends and future research directions by Krishnashree Achuthan, Sasangan Ramanathan, Sethuraman Srinivas, Raghu Raman

“…The study also highlights key current and future areas of focus, including quantum machine learning, explainable AI, integrating humanized AI and deepfakes.…”
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