Advanced Applications of Artificial Intelligence in Pharmacovigilance: Current Trends and Future Perspectives by Yogesh S Ahire, Jayesh H Patil, Harshita N Chordiya, Rashmi A Deore, Vinod A Bairagi

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Highly stable two-level current fluctuation in complex oxide heterostructures by Doyeop Kim, Jung-Woo Lee, Jihyun Lim, Sungjun Choi, Khimananda Acharya, Seobin Oh, Jaewhan Oh, Tula R. Paudel, Yongsoo Yang, Kitae Eom, Sunwoo Lee, Hyungwoo Lee

“…Temporal electron localization at antisite defects alters the energy levels of nearby oxygen vacancies through instantaneous Coulomb interaction, resulting in two-level current fluctuation across the interface. The RTN-like current signals exhibit high stability at room temperature. …”
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The Current Role and Prospects of Electrophysiological Research Methods in Ophthalmology. Literature Review by V. N. Kazajkin, V. O. Ponomarev, A. V. Lizunov, A. E. Zhdanov, A. Yu. Dolganov, V. I. Borisov

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An Improved Adaptive Variable Step Size LMS Algorithm for Harmonic Detection by ZHANG Han

“…In order to improve the accuracy and tracking speed of harmonic current detection, an improved variable step-size LMS (least mean square ) algorithm was proposed based on LMS algorithm. …”
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Optimization Design of Hub Reducer Based on Improved Sparrow Search Algorithm by LI Jian-wei, YU Guang-bin

“…The algorithm introduces the particle symbiosis mechanism and Levy flight mechanism， uses the current individual to balance the individual， and is guided only by the historical optimal individual and the global optimal individual. …”
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Low-Power Indoor Positioning Algorithm Based on iBeacon Network by Xiaona Zhang, Shufang Zhang, Shuaiheng Huai

“…In this article, we use a low-power iBeacon network to conduct an in-depth analysis and research on the principle of indoor positioning and adopt an efficient and fast positioning algorithm. Secondly, based on the obtained analysis, an iBeacon-based indoor positioning system is proposed to analyze how to use iBeacon for accurate positioning and whether it can effectively compensate for the current mainstream positioning system. …”
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AEA-YOLO: Adaptive Enhancement Algorithm for Challenging Environment Object Detection by Abdulrahman Kariri, Khaled Elleithy

“…On the other hand, YOLO is being developed for real-time object detection, addressing limitations of current models, which struggle with low accuracy and high resource requirements. …”
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Encryption Algorithm MLOL: Security and Efficiency Enhancement Based on the LOL Framework by Xinyue Zhang, Daoguang Mu, Wenzheng Zhang, Xinfeng Dong

“…It significantly simplifies security evaluation, making it suitable for automated analysis tools, and offers a feasible new approach for AEAD algorithm design.…”
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Bank Customer Segmentation and Marketing Strategies Based on Improved DBSCAN Algorithm by Xiaohua Yan, Yufeng Li, Fuquan Nie, Rui Li

“…This study conducts a case study on the characteristics of fixed deposit businesses in a Portuguese bank, analyzing the current customer data features and the limitations of marketing strategies. …”
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Modified Variational Iteration Algorithm-II: Convergence and Applications to Diffusion Models by Hijaz Ahmad, Tufail A. Khan, Predrag S. Stanimirović, Yu-Ming Chu, Imtiaz Ahmad

“…The key property of the technique is its ability and flexibility to investigate linear and nonlinear models conveniently and accurately. The current study presents an improved algorithm to the variational iteration algorithm-II (VIA-II) for the numerical treatment of diffusion as well as convection-diffusion equations. …”
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Algorithm for Internal State Financial Control by the Treasury of Russia: Problems and Solutions by N. N. Simko

“…The aim of the study is to show the organization and stages (algorithm) of implementing internal state financial control, to identify problems and possible solutions. …”
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Hybrid strategy enhanced crayfish optimization algorithm for breast cancer prediction by Yu-Jiong Li

“…To address these issues, the current research introduces a hybrid strategy enhanced crayfish optimization algorithm (MSCOA). …”
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TOPSIS inspired cost-efficient concurrent workflow scheduling algorithm in cloud by K. Kalyan Chakravarthi, L. Shyamala, V. Vaidehi

“…The performance of the proposed work is compared with the state-of-the-art algorithms such as Cloud-based Workflow Scheduling Algorithm (CWSA), Earliest Finish Time-Maximum Effective Reduction (EFT-MER) and Heterogeneous Earliest-Finish-Time (HEFT) algorithms based on deadline constraint and resource utilization. …”
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Deep Learning Algorithms in EEG Signal Decoding Application: A Review by Ramesh Babu Vallabhaneni, Pankaj Sharma, Vinit Kumar, Vyom Kulshreshtha, Koya Jeevan Reddy, S. Selva Kumar, V. Sandeep Kumar, Surendra Kumar Bitra

“…This paper overviews current application of deep learning algorithms in various EEG decoding tasks, and introduces commonly used algorithms, typical application scenarios, important progresses and existing problems. …”
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A review of plant leaf disease identification by deep learning algorithms by Junmin Zhao, Laixiang Xu, Zizhen Ma, Juncai Li, Xiaowei Wang, Yunchang Liu, Xiaojie Du

“…The proposed work aims to combine plant leaf disease datasets from various countries, review current research and progress in deep learning algorithms for plant disease recognition, and explain how different types of data are developed and used in this area using different deep learning networks. …”
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Deep-learning Enhanced CT Reconstruction Algorithm for Multiphase-flow Measurement by Qian CHEN, Baodi YU, Yanwei QIN, Sunyang WANG, Xiaohui SU, Xin JIN, Fanyong MENG

“…Multiphase-flow measurement cannot effectively capture mesoscale dynamic structures owing to limitations of spatial and temporal resolutions of current measuring techniques. Dynamic X-ray computed tomography (CT), as a non-invasive multiphase-flow measurement technique, is promising for measuring the dynamic structures of multiphase flow. …”
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Optimization of the Statin Therapy Algorithm in Outpatient Practice: Adherence and Economic Benefits by S. A. Davitashvili, D. V. Nebieridze, N. M. Akhmedzhanov, A. S. Lishuta, A. S. Safaryan

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Study of Assisted Control Algorithm for Wind Turbines Based on LiDAR by TANG Shuai, CHANG Sheng, ZHOU Jian, JIANG Tao

“…Amid the intensifying price competition in wind power generation, cost reduction has become the top priority currently in the industry, on the premise of ensuring turbine safety. …”
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Algorithms of optimization and standardization of surgical care in destructive forms of Charcott foot by K. A. Koreyba, E. P. Krivoshchekov, N. A. Lysov, L. N. Gatina, P. S. Lukin

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ALGORITHM FOR ASSESSING TIME AND COST RISKS AT ENTERPRISES OF THE MILITARY-INDUSTRIAL COMPLEX by N.D. Pechalin, A.G. Finogeev

“…Implementation of the model and method for predictive risk assessment based on the analysis of available statistics at the enterprise allows using the obtained results to analyze other parameters of the project task, for example, product reliability parameters and quality indicators. The models and algorithm for risk analysis are intended for the management personnel of the enterprise and are currently used in drawing up a calendar schedule of cooperation processes during the implementation of production tasks for the release of products of the defense industry complex. …”