Mapping the future: Unveiling global trends in smart waste management research by Fatemeh Boostani, Abooali Golzary, Donald Huisingh, Martin Skitmore

“…This study aims to investigate the current landscape and collaborative dynamics of research integrating Big Data with smart waste management (SWM) through a comprehensive bibliometric analysis. …”
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A ResNet-Based Super-Resolution Approach for Constructing a High-Resolution Temperature Dataset from ERA5 Reanalysis by Zijun Li, Hoiio Kong, Yuchen Wang, Chan-Seng Wong, Yu Du, Peitao Wang

“…These outcomes indicate that the neural network model presented in this article is a promising approach for generating high-resolution climate data, which holds significant importance for climate research and related applications.…”
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Division of Multi-harmonic Responsibilities Based on DBSCAN Clustering and Interval Regression by Shilong CHEN, Tao WU, Cheng GUO, Zirui ZHANG, Jinghao SUN

“…The traditional harmonic responsibility division methods are not applicable to the existing statistical harmonic monitoring data in the context of background harmonic impedance changes and background harmonic voltage fluctuations. …”
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Maritime Traffic Knowledge Discovery via Knowledge Graph Theory by Shibo Li, Jiajun Xu, Xinqiang Chen, Yajie Zhang, Yiwen Zheng, Octavian Postolache

“…Additionally, multi-source meteorological data are integrated with ship dynamic data, providing a more comprehensive representation of the maritime environment. …”
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Research on Malodor Component Identification Based on Sensor Array by Jiaxing Xie, Wen Chen, Shiyun Chen, Peiwen Wu, Zhendong Lv, Jiatao Wu, Zihao Chen, Zonghong Li, Fan Luo, Xiaohong Liu

“…The framework achieves enhanced feature extraction from sensor time series data, enabling more precise and reliable detection of malodorous compounds. …”
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Empirical studies on the impact of filter‐based ranking feature selection on security vulnerability prediction by Xiang Chen, Zhidan Yuan, Zhanqi Cui, Dun Zhang, Xiaolin Ju

“…Therefore, gathered SVP data sets often have numerous features and result in the curse of dimensionality. …”
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Business Intelligence adoption in Jordanian e-banking: Unveiling key drivers and challenges by Mohammad Mahmoud Saleem Alzubi

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Exploring machine learning for fake news detection: techniques, tools, challenges, and future research directions by Sapana Yakkundi, Rudragoud Patil, Sangeeta Sangani, R. H. Goudar, Swetha Indudhar Goudar, Aijazahamed Qazi

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cglasso: An R Package for Conditional Graphical Lasso Inference with Censored and Missing Values by Luigi Augugliaro, Gianluca Sottile, Ernst C. Wit, Veronica Vinciotti

“…There have been numerous extensions of such methods in the past decade. Many practical applications have additional covariates or suffer from missing or censored data. …”
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A Comprehensive Survey on Integrated Photonic Switch Fabrics: From Device to Network Topology and Controller Design by Mohammad Amin Mahdian, Ebadollah Taheri, Mahdi Nikdast

“…Emerging applications such as Artificial Intelligence (AI), the Internet of Things (IoT), and Big Data are significantly increasing data traffic within data center networks and high-performance computing (HPC) systems. …”
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Flowlogue: A Novel Framework for Synthetic Dialogue Generation With Structured Flow From Text Passages by Yongil Kim, Yerin Hwang, Hyunkyung Bae, Taegwan Kang, Kyomin Jung

“…Despite these advances, a significant challenge persists in curated dialogue data scarcity, especially in Conversational Question Answering (ConvQA) systems that require domain-specific information. …”
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Secure Image Transmission Using Multilevel Chaotic Encryption and Video Steganography by Suhad Naji Alrekaby, Maisa’a Abid Ali Khodher, Layth Kamil Adday, Reem Aljuaidi

“…The swift advancement of information and communication technology has made it increasingly difficult to guarantee the security of transmitted data. Traditional encryption techniques, particularly in multimedia applications, frequently fail to defend against sophisticated attacks, such as chosen-plaintext, differential, and statistical analysis attacks. …”
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Skills Prediction for the South African Food and Beverages Manufacturing Sector by Megashnee Munsamy, Arnesh Telukdarie

“…The source of big data is skills-related publications from the Elsevier Scopus database, for the period 1999 to 2020. …”
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Predicting CO2 adsorption in KOH-activated biochar using advanced machine learning techniques by Raouf Hassan, Alireza Baghban

“…These models were trained and validated on a dataset of 329 data points, assessed through performance metrics and visualizations. …”
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DeBasher: a flow-based programming bash extension for the implementation of complex and interactive workflows with stateful processes by Daniel Ortiz-Martínez

“…Abstract Background Bioinformatics data analysis faces significant challenges. As data analysis often takes the form of pipelines or workflows, workflow managers (WfMs) have become essential. …”
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A Multi-Source Strategy for Assessing Major Winter Crops Performance and Irrigation Water Requirements by Shoukat Ali Shah, Songtao Ai

“…The proposed methodology contributes a scaleable solution for informed decision-making in agricultural and water resource management, applicable across other districts in Pakistan and on a global scale.…”
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Efficient Seismic Denoising Transformer with Gradient Prediction and Parameter-Free Attention by GAO Lei, QIAO Haowei, LIANG Dongsheng, MIN Fan, YANG Mei

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A Validation Framework for Bulk Distribution Logistics Simulation Models by Andres Guiguet, Dirk Pons

“…This paper presents a high-level development and validation framework applicable to simulation in data-poor environments for modelling the process of bulk distribution of commodities. …”
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An image dataset for analyzing tea picking behavior in tea plantations by Ru Han, Ru Han, Ye Zheng, Renjie Tian, Lei Shu, Lei Shu, Lei Shu, Xiaoyuan Jing, Fan Yang

“…This capability ensures versatility and accuracy in real-world applications, where objects may appear at varying distances and scales. …”
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Adaptation of J-SPEED for the emergency department of a regional hospital in the Republic of Uzbekistan: retrospective analysis by Olimjan Nazirkulov, Odgerel Chimed-Ochir, Yui Yumiya, Inn Kynn Khaing, Khasanjon Odilov, Hanako Ogawa, Ami Fukunaga, Khalilov Kobiljon, Mahamadjan Mirzahmedov, Sukurullaxon Fayzullaxonov, Khikmat Anvarov, Mutalov Boburjon, Ruzimurodov Nodirjon, Tatsuhiko Kubo

“…Expanding UZ-SPEED implementation in other Uzbekistani EDs could further improve the efficiency of data management in the ED in Uzbekistan. Clinical trial number Not applicable.…”
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