Urban solutions to climate change: an overview of the latest progress by Kuok Ho Daniel Tang

“…Technological solutions encompass sustainable heating and cooling, innovative and green building materials, retro-reflective materials, cleaner modes of transportation, and big data and IoT devices for city planning. These solutions could be costly and resource-intensive. …”
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Innovación en sueño by Laura Vigil, Toni Zapata, Andrea Grau, Marta Bonet, Montserrat Montaña, María Piñar

“…Despite these obstacles, AI and Big Data have the potential to transform medical care for sleep disorders, improving both diagnosis and treatment adherence, provided regulatory and cultural barriers are overcome.…”
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Machine learning cluster analysis identifies increased 12-month mortality risk in transcatheter aortic valve replacement recipients by Thomas Meredith, Thomas Meredith, Thomas Meredith, Farhan Mohammed, Amy Pomeroy, Sebastiano Barbieri, Sebastiano Barbieri, Erik Meijering, Louisa Jorm, David Roy, Jason Kovacic, Jason Kovacic, Jason Kovacic, Jason Kovacic, Michael Feneley, Michael Feneley, Michael Feneley, Christopher Hayward, Christopher Hayward, Christopher Hayward, David Muller, David Muller, David Muller, Mayooran Namasivayam, Mayooran Namasivayam, Mayooran Namasivayam

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Data traceability mechanism based on consortium chain by Shoucai ZHAO, Lifeng CAO, Xuehui DU

“…With the unprecedented growth in the speed of data generation and circulation in the era of big data, the emergence of blockchain technology provides a new solution for data authenticity verification.However, with the increasing demand for data flow between different blockchains, new security issues arise.Cross-chain data transmission can lead to data leakage, and detecting data leakage caused by illegal access becomes challenging.To address these problems, a data traceability mechanism based on a consortium chain was proposed.A cross-blockchain data traceability model was designed, incorporating private data pipelines to ensure the security of cross-chain data transmission.User behaviors were recorded through authorization and access logs, ensuring the traceability of illegal unauthorized access.To improve the efficiency of data traceability and query, an on-chain and off-chain synchronous storage mechanism was adopted.The state of data flow before each transaction was encrypted and stored in the database, and its index was stored in the blockchain transaction.This enables a one-to-one correspondence between on-chain and off-chain data.Additionally, Merkle trees were introduced into the block body to store block summaries, enhancing the efficiency of block legitimacy verification.Based on the data storage form and cross-chain data interaction mechanism, a data traceability algorithm was designed.The traceability results were displayed in the form of an ordered tree.An experimental environment for consortium chain traceability was built using fabric, targeting the cross-domain data traceability scenario in the e-commerce industry.The GO language was used to simulate and test the data traceability performance with a large number of blocks and transactions.The results demonstrate that with the increasing number of blocks and transactions, the proposed data traceability mechanism maintains satisfactory performance.…”
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Reinforcement Learning-Driven Intelligent Truck Dispatching Algorithms for Freeway Logistics by Xiao Jing, Xin Pei, Pengpeng Xu, Yun Yue, Chunyang Han

“…Although the rapid development in big data and artificial intelligence motivates long-haul freeway logistics towards informatization and intellectualization, the transportation of bulk commodities still faces serious challenges arisen from dispersed freight demands and the lack of co-ordination among different operators. …”
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Optimizing Biomedical Ontology Alignment through a Compact Multiobjective Particle Swarm Optimization Algorithm Driven by Knee Solution by Xingsi Xue, Xiaojing Wu, Junfeng Chen

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Enhancing Persian text summarization through a three-phase fine-tuning and reinforcement learning approach with the mT5 transformer model by Vahid Nejad Mahmood Abadi, Fahimeh Ghasemian

“…Abstract In the contemporary era, grappling with the vast expanse of big data presents a formidable obstacle, particularly when it comes to extracting vital information from extensive textual sources. …”
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ЦИФРОВІ РІШЕННЯ В СИСТЕМІ РЕВЕНЮ МЕНЕДЖМЕНТУ by Мирослава Босовська, Ірина Труніна

“…Результати дослідження також показують, що цифрові рішення ревеню менеджменту обґрунтовують використання аналізу даних Big Data та інструментів аналітики для обґрунтування рішень, аналізу поведінки споживачів та адаптації стратегій ціноутворення, сегментування споживачів та персоналізації пропозицій, впровадження спеціалізованого програмного забезпечення (RMS-системи) для автоматизації рутинних операцій (моніторинг ринку, аналіз цін конкурентів, оновлення пропозиції та тарифів), інтегрування внутрішніх інформаційних систем з глобальними цифровими платформами, мобільними додатками, CRM-системами, покращення комунікацій з клієнтами. …”
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Digital Twin Hospital Buildings: An Exemplary Case Study through Continuous Lifecycle Integration by Yang Peng, Ming Zhang, Fangqiang Yu, Jinglin Xu, Shang Gao

“…Traditional methods such as BIM are becoming less capable of real-time updates of building status and big data volume. By proposing innovations both in technique and management—a “continuous lifecycle integration” method based on the concept of Digital Twin (DT) and “early movement” of the general contractor, this paper reported a successful project case in a large hospital in China. …”
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Customized Bus Route Optimization with the Real-Time Data by Kai Huang, Lin Xu, Yao Chen, Qixiu Cheng, Kun An

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Review on the Application of Remote Sensing Data and Machine Learning to the Estimation of Anthropogenic Heat Emissions by Lingyun Feng, Danyang Ma, Min Xie, Mengzhu Xi

“…Moreover, the recent progress in the application of remote sensing data and machine learning are discussed as well. Based on big data and machine learning techniques, the research on feature engineering and model fusion will bring about major changes in data analysis and modeling of anthropogenic heat. …”
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A review of the determinants and prediction methods for off-channel water demand by HE Yanhu, XU Xiaodi

“…Advances in remote sensing, geospatial big data, artificial intelligence, and machine learning algorithms have significantly improved the accuracy of off-channel water demand predictions, particularly at smaller scales. …”
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Evaluation of Machine Learning Models for Mapping Food Crops using Sentinel-2A Imagery in West Java, Indonesia by Ridwana Riki, Kamal Muhammad, Arjasakusuma Sanjiwana, Rabbi Muh Fiqri Abdi

“…Google Earth Engine is used in this study as a big data cloud computing platform for remote sensing. …”
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Cyber Security of the Economy and Public Finances: Historiography and Post-War Trajectory of Development by Petrukha Nina M., Petrukha Serhii V., Zhmaiev Anatolii Yu., Synkevych Maksym E.

“…It was found that the emergence and strengthening of the role of artificial intelligence allows for a closer level of correlation between trends in the development of the economy and public finances by adding new data to predictive models, bringing them to the level of big data, identifying threats and risks in them for the development of adaptive anti-crisis-colored regulatory behavioral models for the State regulators, including in terms of creating formal and informal institutional rules for countering cyber threats. …”
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Impact of Modern Technology on Social Research Methods in Educational Contexts by Horia Aljounid

“…Employing a quantitative research design, a survey was conducted with 200 educational researchers and educational employees in Yemen (K-12 education, higher education, educational policy) at Taiz city, Yemen, exploring their use of technologies such as social media analytics, big data tools, and digital surveys. The findings reveal that frequent use of technology significantly enhances research efficiency and data accuracy, providing educational researchers with expanded data collection capabilities and improved analytical precision. …”
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Functional genomic imaging (FGI), a virtual tool for visualization of functional gene expression modules in heterogeneous tumor samples by Xinlei Chen, Youbing Guo, Xiaorong Gu, Danyi Wen

“…Abstract Advances in sequencing technologies are reshaping clinical diagnostics, prompting the development of new software tools to decipher big data. To this end, we developed functional genomic imaging (FGI), a visualization tool designed to assist clinicians in interpreting RNA-Seq results from patient samples. …”
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Fan Blade Crack Detection Algorithm Based on Multi-Scale Feature Fusion by Yongjun Qi, Hailin Tang, Altangerel Khuder

“…In order to quickly and accurately detect and maintain the fan blades, based on the intelligent big data from the environment, we propose the convolutional neural network model to solve the problem of low recognition rate due to the lack of feature extraction in the fan blade crack image, and the long short-term memory network (Long Short-Term Memory, LSTM) convolutional neural network model, and the dimensionality reduction of the captured image data, which is beneficial to improve the recognition rate of the picture and reduce the loss rate of the picture through the detection model’s suitable recognition of complex background problems such as target occlusion and overlap. …”
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Improved Honey Badger Algorithm and Its Application to K-Means Clustering by Shuhao Jiang, Huimin Gao, Yizi Lu, Haoran Song, Yong Zhang, Mengqian Wang

“…As big data continues to evolve, cluster analysis still has a place. …”
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Rugularizing generalizable neural radiance field with limited-view images by Wei Sun, Ruijia Cui, Qianzhou Wang, Xianguang Kong, Yanning Zhang

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Influence of Accessibility on Land Use and Landscape Pattern Based on Mapping Knowledge Domains: Review and Implications by Yongwei Liu, Xiaoshu Cao, Tao Li

“…Third, research on the functional landscape in inner cities has become a significant research focus, particularly with the progress in big data. And fourth, improvements in data acquisition and processing have greatly benefited the field, specifically with recent advancements in GIS and RS technology. …”
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