Unveiling the Technological Dynamics of Banking Systems: A Network Analysis of Chinese and Global Banking Innovation by Chuhan Zhang, Xiuting Li

“…The contributions of this study encompass the comprehensive collection of 21 years of patent data, the introduction of a distinctive analytical framework for networks, and addressing a research gap in Chinese banking innovation. The research delves into the sources of innovation of China’s banking industry, maps its development, and identifies cutting-edge technologies of the global banking system, with a specific emphasis on the burgeoning role of blockchain. …”
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The Linguistic Connotations of the Word Light in the Holy Quran (An analytical study of Quranic verses using Artificial intelligent techniques) by Nima Al-Fakhry

“…Furthermore, this verse was chosen due to it speaks about the Sultan of Allah Almighty and god's light. Finally, the research has used the algorithm of “subtractive clustering and weighted subtractive clustering” measured and Matlab language (2013) to achieve the practical aspect of the study.…”
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Estimation of tree attributes in mixed tropical hill forests using Landsat-8 and Sentinel-1 data by Ariful Khan, Md. Shawkat Islam Sohel, Md. Shamim Reza Saimun, Mohammed Abu Sayed Arfin Khan, M. Salim Uddin, Melanie L. Harris, Parvez Rana

“…We applied the random forest algorithm to predict tree height, density, basal area, and volume in two forest-protected areas of Bangladesh. …”
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Research on Trajectory Tracking Control Method for Crawler Robot Based on Improved PSO Sliding Mode Disturbance Rejection Control by Zhiyong Yang, Qing Lang, Yuhong Xiong, Shengze Yang, Changjin Zhang, Lielei Deng, Daode Zhang

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A novel ensemble learning algorithm integrating WRF-CMAQ and downscaling models for hourly estimation of regional air pollution along with vegetation exposure risk detection by Peng Zhou, Jieming Chou, Shan Ye, Leiku Yang, Mengting Sun, Pengao Li, Huanpeng Wang, Jie Luo, Zhaoxiang Cao, Qian Yao, Hao Zhang, Hongze Pei

“…To achieve this, an integrated machine learning algorithm was developed by coupling the Weather Research and Forecasting-Community Multiscale Air Quality model with a downscaling model to estimate air pollutants during compound pollution episodes in Beijing. …”
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Multi-objective layout optimization of hospital outpatient clinics based on NSGA II by Yanlin Zhao, Jiamei Gu

“…Abstract This study utilizes an improved NSGA-II algorithm to conduct a multi-objective optimization of the hospital outpatient department layout. …”
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User Preference Maps: Quantifying the Built Environment by Sanghyun Son, Hyoensu Kim

“…This study selected Midtown, New York, as the research site and collected a total of seven datasets based on 30 intersections in the area. …”
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EVALUATION OF THE EFFECTIVENESS OF A NONSTEROIDAL ANTI-INFLAMMATORY DRUG (NSAID) SELECTION ALGORITHM BASED ON THE ANALYSIS OF RISK FACTORS FOR DRUG-INDUCED COMPLICATIONS IN REAL CL... by A. E. Karateev, A. M. Lila, M. V. Churyukanov, K. V. Skorobogatykh, A. V. Amelin, D. V. Zakharov, E. A. Trofimov, V. A. Shirokov, T. V. Popova, E. A. Shestel, Z. A. Goncharova, A. I. Kulikov, O. B. Nesmeyanova, M. V. Galikhanova

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Research on the Capacity Allocation Optimization of Island Micro-grid Including Wind Power, Tidal Current Energy and Energy Storage by PANG Jiameng, ZANG Xiaodi

“…The three-objective optimization model uses the multi-objective particle swarm optimization algorithm to solve the established model, and obtains different capacity allocation schemes. …”
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Research on the evolution of college online public opinion risk based on improved Grey Wolf Optimizer combined with LSTM model. by Chao Cao, Ziyu Li, Lingzhi Li, Fanglu Luo

“…Improving the accuracy of predictions regarding online public opinion crises, especially those related to campuses, is crucial for maintaining social stability. This research proposes a public opinion crisis prediction model that applies the Grey Wolf Optimizer (GWO) algorithm combined with long short-term memory (LSTM) and implements it to analyze a trending topic on Sina Weibo to validate its prediction accuracy. …”
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Spatiotemporal land use land cover (LULC) change analysis of urban narrow river using Google Earth Engine and Machine learning algorithms in Monterrey, Mexico by K. D. Rodríguez González, L. E. Arista Cázares, F. D. Yépez Rincón

“…This study evaluates four Machine Learning Algorithms—Random Forest (RF), K-Means Clustering, Support Vector Machine (SVM), and Classification and Regression Trees (CART)—for precise land use and land cover (LULC) classification in the Monterrey Metropolitan Area. …”
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Yield prediction, pest and disease diagnosis, soil fertility mapping, precision irrigation scheduling, and food quality assessment using machine learning and deep learning algorith... by S. Ajith, S. Vijayakumar, N. Elakkiya

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Efficiency multi-agent model assisted Moea/D algorithm for optimization design for building taking into account annual energy consumption and annual user discomfort hours by Hua Deng, Kai Zhou

“…The algorithm proposed by the research institute has superior performance and has certain application value in selecting the optimal solution for building energy-saving design.…”
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Using Interpretable Artificial Intelligence Algorithms in the Management of Blunt Splenic Trauma: Applications of Optimal Policy Trees as a Treatment Prescription Aid to Improve Pa... by Vahe S. Panossian, Yu Ma, Bolin Song, Jefferson A. Proaño-Zamudio, Veerle P. C. van Zon, Ikemsinachi C. Nzenwa, Azadeh Tabari, George C. Velmahos, Haytham M. A. Kaafarani, Dimitris Bertsimas, Dania Daye

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Optimization and Verification of One-dimensional Three-field Model for Transient Analysis of Pressurized Water Reactor by YUAN Leqi1, LI Zanwang1, 2, FAN Jie1, 3, GOU Junli1, SHAN Jianqiang1

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Optimized Reduction in Draft Tube Pressure Pulsation for a Francis Turbine by J. Lu, R. Tao

“…This research optimized the placement angle of the runner blade’s 0.75span and 1.0span using the genetic algorithm. …”
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A Comprehensive Review of EEG-Based Seizure Detection Techniques by Goldwyn Sudhakar Jebaraj, Konguvel Elango

“…The automated classification and prediction of epileptic seizures using electroencephalography (EEG) remains a dynamic and critical area of interdisciplinary research, situated at the intersection of neuroscience and computational intelligence. …”
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Enhancing E-Nose Performance via Metal-Oxide Based MEMS Sensor Arrays Optimization and Feature Alignment for Drug Classification by Ruiwen Kong, Wenfeng Shen, Yang Gao, Dawu Lv, Ling Ai, Weijie Song, Ruiqin Tan

“…We employ a feature alignment algorithm to address the discrepancies that impede model sharing between electronic nose devices. …”
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Assessment of Pre-test and Clinical Probability in the Diagnosis of Chronic Coronary Syndrome — What's New? by A. N. Sumin, A. V. Shcheglova

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GLUCOCORTICOID-INDUCED OSTEOPOROSIS: DIAGNOSIS, PREVENTION, AND TREATMENT by N. V. Toroptsova

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