Optimal investment game for two regulated players with regime switching by Lin Xu, Linlin Wang, Hao Wang, Liming Zhang

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Insurance with telematics as an insurance market driver: regulation and prospects by A. V. Romanova, S. Yu. Shchukin, S. V. Chelokidi, N. E. Spirina

“…However, the possibilities of introducing artificial intelligence and big data (AI and DB) into the regulated sphere, which is insurance, are usually limited compared to unregulated sectors. …”
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Applications of Deep Learning in the Evaluation and Analysis of College Students’ Mental Health by Lanfeng Zhou

“…Firstly, the paper summarizes the fast intelligent analysis model based on the convolutional neural network system algorithm, classifies and summarizes the unique characteristics of college students’ mental health, and uses the convolutional neural network processing model to analyze, evaluate, and observe college students’ mental health combined with the big data theory. Secondly, through the expansion and utilization of multi-layer neuron self-coding neural network, the psychological health of college students is evaluated and analyzed in the psychological discipline, the discrete data structure is established by using the relevant psychological data, the psychological behavior of college students is analyzed, summarized, and classified, and the data model is filled to judge the mental health status of college students. …”
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A Choice Behavior Model of Bike-Sharing Based on User Perception, Psychological Expectations, and Loyalty by Xingjian Xue, Zixu Wang, Xuejiao Liu, Zhou Zhou, Rui Song

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An embedded intrusion detection and prevention system for home area networks in advanced metering infrastructure by Sahar Lazim Qaddoori, Qutaiba Ibrahim Ali

“…Detecting anomalies in power consumption and communication is primarily a real‐time big data analytics issue regarding data mining along with a vast number of parallel streaming data from smart metres. …”
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Conservation data infrastructures: From carbon accounting to multiple biodiversity and social measures by Danilo Urzedo, Nikki P. Dumbrell, Catherine J. Robinson

“…Abstract Environmental big data and analytical models are increasingly informing conservation efforts to address global climate and biodiversity crises. …”
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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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A review of utility of wearable sensor technologies for older person frailty assessment by Chen Yixiao, Shen Hui, Song Quhong, Zeng Xiaoxi, Yue Jirong

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Research on Optimization Model of Logistics Transportation Truck Path considering Environmental Impact: Experimental Data from Xiqing District, Tianjin by Qianqian Han, Yao Sun, Qingdong Wu, Zijian Bai

“…However, some truck restriction policies might lead to a reduction in logistics transportation efficiency. With the help of big data, technology companies have developed many truck applications, such as HCB, truck home, and truck help, to provide the drivers available traffic information. …”
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Evolution of the Web: from Web 1.0 to 4.0 by Asaad Khaleel Ibrahim

“…Web 4.0 has multiple dimensions, as seen by the first examples that have appeared. Big data, augmented reality, machine-to-machine communication (M2M), cloud computing, and artificial intelligence (AI) technologies, as well as smart agents, will be able to integrate in the future years. …”
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A Full Stage Data Augmentation Method in Deep Convolutional Neural Network for Natural Image Classification by Qinghe Zheng, Mingqiang Yang, Xinyu Tian, Nan Jiang, Deqiang Wang

“…Nowadays, deep learning has achieved remarkable results in many computer vision related tasks, among which the support of big data is essential. In this paper, we propose a full stage data augmentation framework to improve the accuracy of deep convolutional neural networks, which can also play the role of implicit model ensemble without introducing additional model training costs. …”
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Correlation Analysis between Stock Price and Accounting Profit Based on a Vector Autoregressive Model by Yanlin Guo

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Optimal Integrated Model for Feeder Transit Route Design and Frequency-Setting Problem with Stop Selection by Ming Wei, Tao Liu, Bo Sun, Binbin Jing

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Imperative Role of Technology Intervention and Implementation for Automation in the Construction Industry by Amit Srivastava, Sajjaf Jawaid, Rajesh Singh, Anita Gehlot, Shaik Vaseem Akram, Neeraj Priyadarshi, Baseem Khan

“…The large amount of data generated from the IoT, RFID, BIM, and AR/VR provided an opportunity for big data and artificial intelligence (AI) to extract meaningful insights related to the events in the construction industry. …”
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Why individuals with trait anger and revenge motivation are more likely to engage in cyberbullying perpetration? The online disinhibition effect by Jin-liang Ding, Yan Lin, I-Hua Chen

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Information Technology Advancements Shaping the Evolution of Modern Accounting Systems by Uma. T.G

“…The research delves into key technological advancements such as cloud computing, big data analytics, and artificial intelligence and examines how they impact various aspects of accounting systems, including financial reporting, auditing, and decision-making. …”
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Designing a Data-Driven Energy Management Service: A Case Study of South Korea’s National Industrial Complex by Tagir Salakhov, Jaejoon Choi, Minjun Kim

“…Big data plays a crucial role in energy management services by providing valuable insights to customers. …”
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Accessibility Assessment of Prehospital Emergency Medical Services considering Supply-Demand Differences by Zhaoqing Shen, Ge Gao, Zhen Wang

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Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection by Yong-Jing Hao, Ying-Lian Gao, Mi-Xiao Hou, Ling-Yun Dai, Jin-Xing Liu

“…Nonnegative Matrix Factorization (NMF) is a significant big data analysis technique. However, standard NMF regularized by simple graph does not have discriminative function, and traditional graph models cannot accurately reflect the problem of multigeometry information between data. …”
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Hierarchical Factor Analysis Methodology for Intelligent Manufacturing by Hyun Sik Sim

“…This study presents a structural model for building a factory integration system to analyze big data at manufacturing sites and a hierarchical factor analysis methodology to increase product yield and quality in an intelligent manufacturing environment. …”
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