Automatic priority analysis of emergency response systems using internet of things (IoT) and machine learning (ML) by Abu S.M. Mohsin, Shadab H. Choudhury, Munyem Ahammad Muyeed

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Enhanced thyroid disease prediction using ensemble machine learning: a high-accuracy approach with feature selection and class balancing by Md. Rezaul Islam, Aniruddha Islam Chowdhury, Sharmin Shama, Md. Masudul Hasan Lamyea

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TAME 2.0: expanding and improving online data science training for environmental health research by Alexis Payton, Alexis Payton, Alexis Payton, Elise Hickman, Elise Hickman, Elise Hickman, Jessie Chappel, Jessie Chappel, Jessie Chappel, Kyle Roell, Kyle Roell, Lauren E. Koval, Lauren E. Koval, Lauren A. Eaves, Lauren A. Eaves, Chloe K. Chou, Chloe K. Chou, Chloe K. Chou, Allison Spring, Allison Spring, Sarah L. Miller, Sarah L. Miller, Sarah L. Miller, Oyemwenosa N. Avenbuan, Oyemwenosa N. Avenbuan, Oyemwenosa N. Avenbuan, Rebecca Boyles, Rebecca Boyles, Paul Kruse, Cynthia V. Rider, Grace Patlewicz, Caroline Ring, Cavin Ward-Caviness, David M. Reif, Ilona Jaspers, Ilona Jaspers, Ilona Jaspers, Ilona Jaspers, Ilona Jaspers, Rebecca C. Fry, Rebecca C. Fry, Rebecca C. Fry, Julia E. Rager, Julia E. Rager, Julia E. Rager, Julia E. Rager

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Türkiye’de Veri Gazeteciliği: Uluslararası Platformlarla Veri Görselleştirme Odaklı Bir Karşılaştırma by Helin Öztürk

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Use of augmented reality technology at the stages of the life cycle of a capital construction facility by S. I. Evtushenko, M. D. Kuzenko

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Survey on the visualization technologies of threatening security data in cyber space by Fan ZHANG, Fan XIE, Jie JIANG

“…With the rapid development of the cyber threatening methods,the requirements of network security data analysis become more and more imperative.Data visualization has already evolved as a requisite tool among all kinds of data analysis theory framework and applications,especially in the fields of scientific computation,business intelligence and cyber security.Threatening security data visualization provides various effective interaction means which improve the perception ability for the cyber security specialists to get a distinctive insight into the large amount of complicated cyber security problems.The state-of-art cyber security data visualization technologies were introduced.Some existing problems that were still challenging research topics were investigated.Some directions for future studies were outlined.…”
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Collaborative Governance of Rural Relative Poverty under Blockchain and Back Propagation Neural Network by Xin-Jie Tian, Zhi-Jun Ge

“…The results show that the accuracy of data visualization prediction of the proposed algorithm model reaches 94.31%. …”
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Marsilea: an intuitive generalized paradigm for composable visualizations by Yimin Zheng, Zhihang Zheng, André F. Rendeiro, Edwin Cheung

“…Abstract Biological data visualization is challenged by the growing complexity of datasets. …”
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Parallelization in combining the SOM and Sammon's mapping by Gintautas Dzemyda, Olga Kurasova, Virginijus Marcinkevičius

“… In this paper, we propose a parallel algorithm for multidimensional data visualization combining the neural network (the self-organizing map-SOM) and Sammon’s mapping. …”
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Research on Visualization Techniques Based on Chinese Texts by Hai Yuan, Kang Chen, Caixia Tao, Chong Chen

“…Text visualization can help users to better deal with the growing text information to improve the efficiency of data visualization and converted into efficiency benefits.…”
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Interactive Visualization Platform Based on MapReduce by Jialiang Wang, Bo Qin, Jianjian Liu, Ni Liu

“…It inserts GPU, MPI parallel computing into MapReduce mechanism of Hadoop to realize the parallel processing of large-scale ocean environment data sets, such as data retrieval, data extraction, data interpolation, analysis of characteristics' visualization, so that the massive data's visualization can be processed in the remote interactive way. …”
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L’outil numérique au service de l’intelligence collective des territoires by Vianney Gerils

“…Today, digital knowledge shared by policy makers, users (open data, data visualization) is a first principle in the process of conception and production living spaces. …”
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Big Data with Cloud Computing: Discussions and Challenges by Amanpreet Kaur Sandhu

“…Various research challenges are defined in terms of distributed database storage, data security, heterogeneity, and data visualization.…”
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Teaching urban sensing skills – experiences from a summer school by Åse Håtveit, Simone Mora, Titus Venverloo, Fábio Duarte, Monica Divitini

“…They also developed scientific literacy skills such as problem elaboration, data visualization, and communication with non-experts. …”
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Split-and-Combine Singular Value Decomposition for Large-Scale Matrix by Jengnan Tzeng

“…It is widely applied in many modern techniques, for example, high- dimensional data visualization, dimension reduction, data mining, latent semantic analysis, and so forth. …”
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Scilab-RL: A software framework for efficient reinforcement learning and cognitive modeling research by Jan Benad, Frank Röder, Manfred Eppe

“…Many open source implementations of current RL algorithms exist, but there is a lack of a modular suite of tools combining different robotic simulators and platforms, data visualization, hyperparameter optimization, and baseline experiments. …”
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River Water Quality Monitoring Through IoT Enabled Technologies by Rita de Fátima Muniz, Badria Almaz Ali Yousif, Azadeh Shemshad

“…Other than that, the hardware of the system, data visualization, software, we automate the process of monitoring This water quality monitoring system has been the major issue and can be use the digital, intelligent, and effectively gives the quality of river water.…”
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IoT-based river water quality monitoring by Soheil Fakheri, Nenad Komazec, Hashem Saberi Najafi

“…Besides that, we automate the monitoring process with the system's hardware, data visualization, and software. This water quality monitoring system has been a significant issue and can be used digitally, intelligently, and effectively to improve river water quality.…”
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Design and Application of Soil and Water Conservation Management Information System in Shenzhen by ZHAO Xusheng, ZHANG Yongzhan, FANG Jingxian, LEI Yong, PAN Cuilin

“…The Shenzhen Soil and Water Conservation Management Information System was developed within the framework of smart cities and smart water management,taking into consideration the characteristics of soil and water conservation business in Shenzhen.The system ensures unified storage and management of water-related data,consisting of five major subsystems,including scheme management,supervision and inspection,historical trend visualization,real-time warnings,and other key modules.By establishing a business supervision platform,it enables comprehensive supervision and management throughout the entire process.Additionally,the integration of intelligent models has greatly enhanced the decision-making and evaluation system for management personnel,thereby significantly improving the efficiency of both management and operational staff.The system integrates multiple functions, including data management,business support,model-based decision-making, data visualization,and real-time alerting.It effectively addresses various challenges encountered in the information construction of soil and water conservation in Shenzhen,such as insufficient information processing capacity,low levels of smart application,lack of unified business sources and data format standards,and difficulties in information sharing and access,ensuring that the information system effectively supports business requirements.…”
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Lung Cancer Prediction Based on K-nearest Neighbor and Other Algorithms by Ren Yimo

“…By collecting lung cancer patients and clinical data sets, basic prediction is realized through programming code, and data visualization is finally realized to complete prediction. …”
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