Optimizing precision farming: enhancing machine learning efficiency with robust regression techniques in high-dimensional data by Nour Hamad Abu Afouna, Majid Khan Majahar Ali

“… Smart precision farming leverages IoT, cloud computing, and big data to optimize agricultural productivity, lower costs, and promote sustainability through digitalization and intelligent methodologies. …”
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Impact of coronavirus (COVID-19) pandemic on physical activity levels in different sub-populations of Iranians: a national survey by Hamid Arazi, Behzad Taati

“…A sedentary lifestyle is widely recognized as a significant risk factor for various diseases, necessitating extensive big data analysis to uncover the diverse aspects linked to the COVID-19 pandemic. …”
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Exploiting Extrinsic Information for Serial MAP Detection by Utilizing Estimator in Holographic Data Storage Systems by Thien An Nguyen, Jaejin Lee

“…In the big data era, data are created in huge volume. This leads to the development of storage devices. …”
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Scene-Aware Deep Networks for Semantic Segmentation of Images by Zhike Yi, Tao Chang, Shuai Li, Ruijun Liu, Jing Zhang, Aimin Hao

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Land use/cover change simulation research: A system literature review based on bibliometric analyses by Meili Chen, Narimah Samat, Mohammad Javad Maghsoodi Tilaki, Liyuan Duan

“…Future research should focus on establishing high spatiotemporal resolution big data systems, multi-scenario theoretical frameworks, multi-scale multi-level spatiotemporal dynamic models, and AI and machine learning. …”
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Innovative approaches in marketing for the development of the tourism industry by Yuliia Stasiuk, Andrii Kobchenko

“…One of the most significant innovations in tourism marketing is the integration of digital technologies. The use of big data analytics, artificial intelligence, and machine learning allows tourism businesses to gain deep insights into customer preferences and behaviors. …”
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Construction of a neural network model for small-scale shaded relief maps constrained by topographic feature lines by Yue Wang, Wenping Jiang, Han Jiang, Danfeng Dai, Peiyang Ma, Yuan Wang, Zhizhi Wang

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Comparison of Intercity Travel Network Structure during Daily Time and Holiday in China by Runze Qi, Jinghu Pan, Rong Zhang

“…Intercity travel by residents promotes the regathering and dissemination of social and economic factors. Based on big data from Tencent’s location-based service, 346 cities above the prefecture level in China were chosen as study objects, with 2018 as the study time node. …”
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Analysis of Internet Financial Risk Control Model Based on Machine Learning Algorithms by Mingjin Liu, Ruijie Gao, Wei Fu

“…On the basis of traditional credit risk control, this paper proposes the demand and direction of a new credit risk control strategy based on machine learning and relying on big data. First, on the basis of introducing the basic algorithmic principles of machine learning, we give reasons for choosing machine learning models and build a machine learning-based Internet consumer finance credit risk control strategy model to provide theoretical support for the empirical analysis later. …”
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Blockchain technology in healthcare strengthening: The Nigerian case by Godsave Binlak Wazhi, Nengak Precious Danladi, Sesugh Daniel Terver, Stephen Ebuka Ukaobasi

“…When blockchain is mentioned, thoughts of cryptocurrency pop into mind, but blockchain holds vast possibilities in other facets, such as big data analytics, research, the Internet of Things, healthcare, etc. …”
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Budget Impact Analysis of Treatment Flow Optimization in Epilepsy Patients: Estimating Potential Impacts with Increased Referral Rate to Specialized Care by Masaki Iwasaki, Takashi Saito, Akiko Tsubota, Tatsunori Murata, Yuta Fukuoka, Kazutaka Jin

“…Therefore, further research with reliable data such as big data analysis or a national survey with real-world treatment patterns is needed.…”
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Anonymous Authentication Scheme Based on Physically Unclonable Function and Biometrics for Smart Cities by Vincent Omollo Nyangaresi, Ahmad A. AlRababah, Ganesh Keshaorao Yenurkar, Ravikumar Chinthaginjala, Muhammad Yasir

“…ABSTRACT Smart cities amalgamate technologies such as Internet of Things, big data analytics, and cloud computing to collect and analyze large volumes of data from varied sources which facilitate intelligent surveillance, enhanced energy management systems, and environmental monitoring. …”
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Retracted: Efficiency Analysis of Machine Learning Intelligent Investment Based on K-Means Algorithm by Liang Li, Jia Wang, Xuetao Li

“…With the rapid development of technologies such as big data, intelligent data analysis and cloud computing, the application of Internet financial technology has become more and more extensive, and with the advent of the era of large asset management in the domestic wealth management industry, in order to improve the efficiency of financial services, traditional finance is needed. …”
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Dynamic Spatiotemporal Causality Analysis for Network Traffic Flow Based on Transfer Entropy and Sliding Window Approach by Senyan Yang, Lianju Ning, Xilong Cai, Mingyu Liu

“…With the rapid development of sensor and communication technologies, a large amount of spatiotemporal traffic data has been accumulated, presenting the characteristics of big data. The potential information and regularity of traffic state evolution can be extracted from the huge traffic flow time series data and applied to intelligent transportation systems. …”
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Mechanisms of corporate digital transformation on asymmetric capital structure adjustment—the mediating role of information asymmetry and financial stability by Jin Li, Zijian Li

“…Among various digital technologies, big data exhibits the most pronounced effect on increasing adjustment speed, with an interaction coefficient of −0.0250 (p < 0.01). …”
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Analysis of the spatio-temporal impact of the built environment on shared bicycle ridership density by Na Li, Tianqun Wang

“…This study investigates the relationship between the built environment and shared bicycle ridership in Shenzhen, a city where the distribution of shared bicycles is relatively dense, by utilizing multisource urban big data. Key independent variables were selected based on the “5Ds” dimensions of the built environment, and the performance of two models—Geographically Weighted Regression (GWR) and Geographically and Temporally Weighted Regression (GTWR)—were compared. …”
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Integrating Human-Computer Interactions in Nigerian Energy System: A Skills Requirement Analysis by Omoseni Adepoju, Oluwarotimi Akinyomi, Oluwadamilola Esan

“…This research explores the impact of HCI in the adoption of technologies of 4IR (Artificial Intelligence, the Internet of Things, Big Data, and Cloud Computing), in Nigeria's energy sector. …”
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Explainable unsupervised anomaly detection for healthcare insurance data by Hannes De Meulemeester, Frank De Smet, Johan van Dorst, Elise Derroitte, Bart De Moor

“…Abstract Background Waste and fraud are important problems for health insurers to deal with. With the advent of big data, these insurers are looking more and more towards data mining and machine learning methods to help in detecting waste and fraud. …”
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Deriving the impact mechanism of urban green space environment on community social capital based on multi-source data integration: a case study of nanjing city, China by Feng Zhen, Mohan Liu, Runlin Yang

“…In light of this, the present study is based on the data of 1,282 residents’ questionnaire surveys conducted in Nanjing in 2022 and extracts spatial characteristic information of green space through multisource big data such as remote sensing data, street-view data, and points of interest, to investigate the influence mechanism of physical and perceived attributes of urban green space on community social capital. …”
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Research on strong robustness watermarking algorithm based on dynamic difference expansion by Tianqi WANG, Yingzhou ZHANG, Yunlong DI, Dingwen LI, Linlin ZHU

“…A surge in the amount of information comes with the rapid development of the technology industry.Across all industries, there is a need to collect and utilize vast amounts of data.While this big data holds immense value, it also poses unprecedented challenges to the field of data security.As relational databases serve as a fundamental storage medium for data, they often contain large-scale data rich in content and privacy.In the event of a data leak, significant losses may occur, highlighting the pressing need to safeguard database ownership and verify data ownership.However, existing database watermarking technologies face an inherent tradeoff between improving watermark embedding capacity and reducing data distortion.To address this issue and enhance watermark robustness, a novel robust database watermarking algorithm based on dynamic difference expansion was introduced.The QR code was employed as the watermark, the SVD decomposition of the low frequency part of the image was utilized after Haar wavelet transform.By extracting specific feature values and using residual feature values as the watermark sequence, it was ensured that the same-length watermark sequence contains more information and the embedded watermark length can be reduced.Furthermore, by combining the adaptive differential evolution algorithm and the minimum difference algorithm, the optimal embedding attribute bits were selected to alleviate the problems of low computational efficiency, high data distortion and poor robustness of traditional difference expansion techniques in embedding watermarks, and to improve the embedding capacity of watermarks while reducing the distortion of data.Experimental results demonstrate that the proposed algorithm achieves a high watermark embedding rate with low data distortion.It is resilient against multiple attacks, exhibiting excellent robustness and strong traceability.Compared to existing algorithms, it offers distinct advantages and holds great potential for broad application in the field of data security.…”
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