Fortifying Democracy: Deploying Electoral Justice for Robust Personal Data Protection in the Indonesian Election by Uu Nurul Huda, Dian Rachmat Gumelar, Alwi Al Hadad

“…Through an empirical juridical methodology, this research delves into the practical application of the Electoral Justice System across diverse national contexts, elucidating its role in mitigating the perils of data misuse and upholding electoral integrity. …”
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Game User Preference Data Analysis and Market Guidance Based on Dynamic Attention GRU by Xuelian Yang, Jin Bai, Xiaolin Wang

“…The game marketing system based on data mining can indeed provide more accurate and automated marketing services, which greatly reduces the cost investment under the traditional marketing model and achieves accurate targeting marketing services and has certain application value.…”
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ACCUMULATED EXPERIENCE IN TREATMENT OF COVID-19. OWN OBSERVATIONS AND WORLD DATA. LITERATURE REVIEW by Антон Николаевич Казанцев, Константин Петрович Черных, Кантемир Артурович Хацимов, Годерзи Шотаевич Багдавадзе

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Gaussian decomposition method for full waveform data of LiDAR base on neural network by Jie Liu, Xinjie Zhang, Jing Lv, Xinyu Li, Libin Du

“…Abstract The full waveform data from airborne LiDAR (Light Detection and Ranging) provides information on the distance of the target. …”
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Comparing Linear and Nonlinear Models for Load Profile Data Using ANOVA, AIC, and BIC by Ilir Keka, Betim Çiço

“…The study’s main focus is on data transformation and visualization, which were essential for using the R tool to find patterns and relationships in the data. …”
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Scalability Dynamic Multicast Labels Management Mechanism for Ubiquitous Data-Centric Sensor Networks by Ting Yang, Cheng Wu, Wenping Xiang

“…The good scalability can adapt much better to ubiquitous and thick electrical advanced metering application.…”
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Building occupancy type classification and uncertainty estimation using machine learning and open data by Tom Narock, J. Michael Johnson, Justin Singh-Mohudpur, Arash Modaresi Rad

“…Yet, a major discrepancy exists in the way data about buildings are collected across the United SStates There is no harmonization in what data are recorded by city, county, or state governments, let alone at the national scale. …”
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Comparative Analysis of Transformers to Support Fine-Grained Emotion Detection in Short-Text Data by Robert H. Frye, David C. Wilson

“…To understand the applicability and tradeoffs among common transformers within such contexts, our research investigates accuracy and efficiency considerations in fine-tuning transformers for granular emotion detection in short-text data. …”
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Legal Reform of Artificial Intelligence's Liability to Personal Data Perspectives of Progressive Legal Theory by Junaidi Junaidi, Pujiono Pujiono, Rozlinda Mohamed Fadzil

“…The research found that the use of Artificial Intelligence in collecting and analysing personal data can threaten individual privacy. Indonesia already has Law Number 27 of 2022 concerning Personal Data Protection, for the application and implementation of the law there is no governing Government Regulation, so that the legal protection provided is still not optimal. …”
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A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data by X. Peng, F. J. Qin, Q. W. Yang, H. Chen

“…To this end, a new robust estimate method termed as the augmented inverse estimate is proposed in this work for damage detection of concrete structures to resist gross errors in data. It has the advantages of very simple programming, convenient utilization, high computational accuracy, and broad prospect of application. …”
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Leveraging real-time data analysis and multiple kernel learning for manufacturing of innovative steels by Wolfgang Rannetbauer, Simon Hubmer, Carina Hambrock, Ronny Ramlau

“…Two essential components–the data aggregator and the quality predictor–are designed through continuous process monitoring and the application of data-driven methodologies to meet the dynamic demands of the evolving steel landscape. …”
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Optimization algorithm of power system line loss management using big data analytics by Yang Li, Danhong Zhang, Ming Tang

“…It hides the complexity of the power grid through middleware and provides data, application, and security services.…”
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Passenger Travel Regularity Analysis Based on a Large Scale Smart Card Data by Qi Ouyang, Yongbo Lv, Yuan Ren, Jihui Ma, Jing Li

“…However, passenger travel patterns can only be watched through a period time, and a lot of people travel by public transportation in big cities like Beijing daily, which leads to large-scale data and difficult operation. Using SPARK platform, this paper proposes a trip reconstruction algorithm and adopts the density-based spatial clustering of application with noise (DBSCAN) algorithm to mine the travel patterns of each Smart Card (SC) user in Beijing. …”
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Efficient MPS representations and quantum circuits from the Fourier modes of classical image data by Bernhard Jobst, Kevin Shen, Carlos A. Riofrío, Elvira Shishenina, Frank Pollmann

“…Applying quantum machine learning algorithms to classical data can have many important applications, as qubits allow for dealing with exponentially more data than classical bits. …”
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Data governance and open sharing in the fields of life sciences and medicine: A bibliometric analysis by Yanrui Qiu, Zhimin Hu

“…Potential research frontiers include the FAIR principles, data quality, public trust and attitudes toward data sharing, the application of artificial intelligence technology in data governance and sharing, governance and sharing of epidemiological and public health data, governance and sharing of data on chronic diseases such as diabetes, and the construction of data governance models.…”
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Multi-agent based DRL with federated learning for data transmission in mobile sensor networks by M. Senthamilselvi, C. Ranjeeth Kumar

“…Because packets need to be transported from source nodes to the destination nodes as quickly and energy effectively as feasible in various application areas, packet routing is one of core difficulties in WSNs. …”
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Data-intelligence driven methods for durability, damage diagnosis and performance prediction of concrete structures by Fan Li, Daming Luo, Ditao Niu

“…Similarly, performance prediction models for reinforced concrete materials, which are often based on limited experimental data and polynomial fitting, oversimplify the influencing factors. …”
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Drone motion prediction from flight data: a nonlinear time series approach by Shuyan Dong, Saptarshi Das, Stuart Townley

“…In this paper, we explore the application of data-driven predictive systems in enhancing unmanned aerial vehicle (UAV) control capabilities. …”
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Multisource Heterogeneous Data Fusion Methods Driven by Digital Twin on Basis of Prophet Algorithm by Min Li

“…With the development of intelligent manufacturing and the wider application of the Internet of Things (IoT), it is crucial to fuse heterogeneous sensor data from multiple sources. …”
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A new scheme for evaluating energy efficiency of data compression in wireless sensor networks by Shaoqiang Liu, Yanfang Liu, Xiang Chen, Xiaoping Fan

“…Data communication incurs the highest energy cost in wireless sensor networks, and restricts the application of wireless sensor networks. …”
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