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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A improved group quantum key distribution protocol with multi-party collaboration by Qi Yuan, Hao Yuan, MeiTong Zhou, JingJing Wen, JuYan Li, Bing Hao

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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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Analysis of Meshing Contact Characteristics of the Gear Transmission System Based on Data Mining Technology by Li Shengjia, Ma Yali, Zhao Yongsheng, Pu Dajun, Yan Shidang

“…Aiming at the difficulty of analyzing the meshing contact characteristics of gear transmission system under the big data formed by multiple working conditions and uncertain parameters, a meshing contact characteristics analysis method of gear transmission system based on data mining technology is proposed. …”
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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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International conflicts in the mirror of constructive journalism: media geographical research by Tamara S. Yakova

“…During the study, special attention was paid to the interpretation of meanings (substantially related to international conflicts) and spatial analysis of big data. The empirical basis of the study was Google Trends statistics and data obtained as a result of processing publications of influential global mass media devoted to international conflicts and crises, interest in which was shown by Internet audiences of countries of the world (the Arab-Israeli conflict, the conflict in Afghanistan, the US-Iran conflict, the Taiwan crisis). …”
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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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Leveraging feature extraction and risk-based clustering for advanced fault diagnosis in equipment. by Hyeonbin Ji, Ingeun Hwang, Junghwon Kim, Suan Lee, Wookey Lee

“…In the contemporary manufacturing landscape, the advent of artificial intelligence and big data analytics has been a game-changer in enhancing product quality. …”
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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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Review on mushroom mycelium-based products and their production process: from upstream to downstream by Hyun-Jae Shin, Hyeon-Su Ro, Moriyuki Kawauchi, Yoichi Honda

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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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