Mining the Hidden Link Structure from Distribution Flows for a Spatial Social Network by Yanqiao Zheng, Xiaobing Zhao, Xiaoqi Zhang, Xinyue Ye, Qiwen Dai

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Effect of Bronchoscopist-Directed Sedation and Other Factors on Patient Comfort during Diagnostic Flexible Bronchoscopy by Rahul Magazine, Keerthi Nedumala Sisupalan, Vyshak Uddur Surendra, Bharti Chogtu, Preetam Rajgopal Acharya, Vasudeva Guddattu

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The effect of Snoezelen intervention on problem behaviors in children with cerebral palsy: A randomized controlled trial by Mina Kim, Sook-Hee Yi, Jee-Sun Lee, Ji-Young Lee, Yun-Tae Hwang, Jeong-Soo Kim

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Reinforcement Learning-Based Routing Protocol to Minimize Channel Switching and Interference for Cognitive Radio Networks by Tauqeer Safdar Malik, Mohd Hilmi Hasan

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Study on the effects of fissure geometric characteristics on the mechanical behavior and failure mechanism of granite under uniaxial compression test by Zhaolong Sang, Donghui Ma, Yaoyao Meng, Qian Yin, Xiaowei Liu, Zhimin Sun, Wei Wang

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DC-BiLSTM-CNN Algorithm for Sentiment Analysis of Chinese Product Reviews by Yuanfang Dong, Xiaofei Li, Meiling He, Jun Li

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Model Selection from Multiple Model Families in Species Distribution Modeling Using Minimum Message Length by Zihao Wen, David L. Dowe

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Assessment of process capabilities in transition to a data‐driven organisation: A multidisciplinary approach by Mert O. Gökalp, Kerem Kayabay, Ebru Gökalp, Altan Koçyiğit, P. Erhan Eren

“…Abstract The ability to leverage data science can generate valuable insights and actions in organisations by enhancing data‐driven decision‐making to find optimal solutions based on complex business parameters and data. …”
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Integrating Model‐Informed Drug Development With AI: A Synergistic Approach to Accelerating Pharmaceutical Innovation by Karthik Raman, Rukmini Kumar, Cynthia J. Musante, Subha Madhavan

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Deep Learning and Wavelet Transform Combined With Multichannel Satellite Images for Tropical Cyclone Intensity Estimation by Chang-Jiang Zhang, Mei-Shu Chen, Lei-Ming Ma, Xiao-Qin Lu

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Topology Unveiled: A New Horizon for Economic and Financial Modeling by Yicheng Wei, Junzo Watada, Zijin Wang

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Planetary Mass Determinations from a Simplified Photodynamical Model—Application to the Complete Kepler Dataset by Aviv Ofir, Gideon Yoffe, Oded Aharonson

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Global value chains and intra-BRICs trade in value-added by José Firmino de Sousa Filho, Gervásio Ferreira dos Santos, Luiz Carlos de Santana Ribeiro, Rodrigo Barbosa de Cerqueira, Larissa Lopes Lima

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Analyzing radiative heat on third-grade fluids over an expanding inclined sheet subject to higher-order chemical reaction: An overlapping grid spectral quasilinearization approach by Titilayo M Agbaje, Folarin Oluwaseun, S.R. Mishra, Rupa Baithalu, Subhajit Panda

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Application of quantitative histomorphometric features in computational pathology by Yujie Shi, Bo Hu, Mingyan Xu, Yunhan Yao, Shuaiqiang Gao, Xiang Xia, Xikai Deng, Jianfeng Liu, Jia Gu, Shifu Chen

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Clustering and Network Analysis of Mobility Patterns as an Analysis Tool for Lean Project by András Rácz-Szabó, Tamás Ruppert, János Abonyi

“…The study aims to optimize internal logistics processes by applying Lean philosophy and data science tools, with a primary focus on qualifying processes to determine their value-added contribution within the logistics context. …”
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On predictive modeling of the twitter-based sales data using a new probabilistic model and machine learning methods by Min Wan, Mohammed A. Alshahrani, Najla M. Aloraini, Alia A. Alkhathami, Haifa Alqahtani

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LingoTrip: Spatiotemporal context prompt driven large language model for individual trip prediction by Zhenlin Qin, Pengfei Zhang, Leizhen Wang, Zhenliang Ma

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Statistical Analysis of the People Fully Vaccinated against COVID-19 in Two Different Regions by Abdullah Ali H. Ahmadini, Mohammed Elgarhy, A. W. Shawki, Hanan Baaqeel, Omar Bazighifan

“…It is constantly of interest in the field of big data science and other related disciplines to provide the best analysis and modeling of COVID-19 data. …”
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Understanding ChatGPT: Impact Analysis and Path Forward for Teaching Computer Science and Engineering by P. Banerjee, Anurag K. Srivastava, Donald A. Adjeroh, Ramana Reddy, Nima Karimian

“…In this paper, common classroom problems and their respective responses from ChatGPT in the domains of Computer Science, Cyber Security, Data Science, and Electrical Engineering are analyzed to determine the categories of queries for which ChatGPT offers reliable responses and those for which it may be factually incorrect. …”
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