Mitigating Cyber Risks in AI-Driven Circular Economy Implementations by Iryna Bashynska, Olha Prokopenko

“…It highlights how AI-driven innovations such as predictive maintenance, waste sorting, and big data analytics contribute to the effective implementation of CE principles. …”
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Method on Efficient Operation of Multiple Models for Vision-Based In-Flight Risky Behavior Recognition in UAM Safety and Security by Byeonghun Kim, Byeongjoon Noh, Kyowon Song

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A Literature Review of Recent Advances on Innovative Computational Tools for Waste Management in Smart Cities by Sergio Nesmachnow, Diego Rossit, Pedro Moreno-Bernal

“…Leveraging computational tools such as artificial intelligence, Internet of Things, and big data analytics, smart waste management systems enable real-time monitoring, predictive modeling, and optimization of waste-related operations. …”
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A Novel Hybrid Model for the Evaluation of Industry 4.0 Technologies’ Applicability in Logistics Centers by Smiljka Miškić, Snežana Tadić, Željko Stević, Mladen Krstić, Violeta Roso

“…., the technology that is most applicable in logistics centers, followed by IoT and big data. An analysis of the sensitivity of the obtained results to the change in the importance of the criteria was carried out, which shows certain changes in the ranking when the importance of the most important criterion changes.…”
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Features of digital management of modern economy by F. F. Sharipov, M. A. Dyakonova, M. Xu

“…Among them are the formation of a methodology system for measuring and evaluating digital transformation; the disclosure of the value of a digital platform and the creation of a supervisory mechanism with multiple joint management; the promotion of digital innovation and the study of regulatory methods compatible with the development of new business formats; the improvement of laws and regulations and the creation of a legal digital economy management system; the use of the potential of big data to increase the level of digital governance, as well as strengthening international exchanges and cooperation, creation of a joint international digital economy management system.…”
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Predicting Flight Trajectory in Convective Weather through Boosted Spatiotemporal Deep Learning Ensemble by Xi Zhu, Ke Zhang, Zhuxi Zhang, Lifei Tan

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Strategy-Switch: From All-Reduce to Parameter Server for Faster Efficient Training by Nikodimos Provatas, Iasonas Chalas, Ioannis Konstantinou, Nectarios Koziris

“…Deep learning plays a pivotal role in numerous big data applications by enhancing the accuracy of models. …”
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NEW METHOD FOR BEARING INTELLIGENT DIAGNOSIS BASED ON COMPRESSED SENSING AND MULTILAYER EXTREME LEARNING MACHINE by CHEN WanSheng, WANG Zhen, ZHAO HongJian, WANG FengTao

“…In the era of big data,bearing fault monitoring has the problem that it cannot realize the real-time processing of massive data processing and have the subjectivity about fault feature selection. …”
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An Overview of the BALSAC Population Database. Past Developments, Current State and Future Prospects by Hélène Vézina, Jean-Sébastien Bournival

“…Future perspectives rest on the diversification of the sources of population data entered or connected to the database and, as a corollary, by continuous optimization of data processing and linkage procedures. In the era of 'big data', BALSAC is gradually moving from a historical population database to a multifaceted infrastructure for interdisciplinary research on the Quebec population.…”
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Design of Command and Dispatch System for Automatic Reading of Meter Images in Substations by UAV Inspection Photos by Guanghong Deng, Liangpei Lin, Baihao Lin, Wenlong Jing, Xiaodan Zhao, Yong Li, Rui Yang, Shidun Xie, Pengfeng Wei

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Meibomian gland alterations in allergic conjunctivitis: insights from a novel quantitative analysis algorithm by Jingting Wei, Jingting Wei, Kunhong Xiao, Qingyuan Cai, Qingyuan Cai, Shenghua Lin, Xiangjie Lin, Yujie Wang, Yujie Wang, Jiawen Lin, Kunfeng Lai, Yunxi Ye, Yuhan Liu, Li Li

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Trends in incidence and mortality of chronic obstructive pulmonary disease among residents of Xiamen city from 2012 to 2022: analysis of hospital records and death registration dat... by Youlan CHEN, Ahua WU, Moliang CHEN, Yilan LIN, Yanqi LAN, Qun LOU, Zhinan GUO

“…MethodsPersonal medical records of COPD patients, who visited any medical and health institutions in Xiamen city from 2012 to 2022, were extracted from the Xiamen City Health and Medical Big Data Information Platform. The collected COPD mortality data were matched with records in the city′s death registration management system. …”
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Development and Validation of a Risk Prediction Model for Ventricular Arrhythmia in Elderly Patients with Coronary Heart Disease by Ying Dong, Yajun Shi, Jinli Wang, Qing Dan, Ling Gao, Chenghui Zhao, Yang Mu, Miao Liu, Chengliang Yin, Rilige Wu, Yuqi Liu, Yang Li, Xueping Wang

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Investigation of divertor heat flux characteristics under the influence of resonant magnetic perturbations on EAST by Ruirong Liang, Xianzu Gong, Bin Zhang, Manni Jia, Hua Yang, Qun Ma, Youwen Sun, Zhendong Yang, Yunchan Hu, Zuhao Wang, Wei Wang, Yutong Guo, Jinwen Song, Jinping Qian, the EAST Team

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Application of Image Processing Variation Model Based on Network Control Robot Image Transmission and Processing System in Multimedia Enhancement Technology by Yanmin Wu, Jinli Qi

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Nenis en México: Análisis multidimensional del empoderamiento femenino en la plataforma X by Elías Alvarado Lagunas, Eunice Sarai Ocañas-Gallardo

“…El análisis se basa en un índice de percepción geoespacial, creado mediante técnicas de Big Data y minería de texto. Este índice se aplicó a 40,412 publicaciones de la plataforma digital X, difundidas entre junio de 2021 y agosto de 2022, para identificar patrones y tendencias relacionadas con el tema. …”
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Time Series Forecasting for Regional Development Composite Index Using Real-Time Floating Population Data by Jungyeol Hong, Jieun Na, Youjeong Kang, Dongho Kim

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Biodegradable Food Packaging Materials and Prospects of the Fourth Industrial Revolution for Tomato Fruit and Product Handling by S. M. Chisenga, G. N. Tolesa, T. S. Workneh

“…There is a research gap on the development of a hybrid sensor system unit that can integrate sampling headspace (SHS), detection unit, and data processing of big data for heterogeneous tomato-derived volatiles. …”
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LONGPOP and IDS. Personal reflections on our collaboration With Kees Mandemakers. by Sam Jenkinson, Hideko Matsuo, Koen Matthijs

“…The three of us have known Kees for some time, but most closely since 2014, when we became formally engaged as project partners under the so-called LONGPOP-project, an EU funded Marie Curie grant, named Methodologies and Data mining techniques for the analysis of Big Data based on Longitudinal Population and Epidemiological Registers. …”
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