A Continuous k-Nearest Neighbor Query Method for Moving Data in Obstructed Spaces by WAN Jing, TANG Bei-bei, HE Yun-bin, Li Song

“…The experimental data set and obstacle set both use real data sets. …”
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On the Synergy of IoMT Devices and Ceiling-Mounted Systems for Advanced Medical Data Analytics by Andreas Andreou, Constandinos X. Mavromoustakis, Evangelos K. Markakis, Athina Bourdena, George Mastorakis

“…The article explores a novel framework that combines Ceiling-Mounted Systems (CMS) and Internet of Medical Things (IoMT) devices to address critical challenges in healthcare data management. By leveraging the capabilities of IoMT devices for real-time data collection, the proposed CMS’s robust sensing, storage, and processing features support efficient resource allocation in hospital environments. …”
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Pine Wilt Disease Monitoring Using Multimodal Remote Sensing Data and Feature Classification by Xin Ye, Hanwen Yu, Yan Yan, Tieming Liu, Yan Zhang, Taoli Yang

“…., satellite or unmanned aerial vehicle images), which are vulnerable to environmental factors such as clouds and fog, posing challenges for practical applications. To address this, the present study introduces temporal moisture content data derived from synthetic aperture radar (SAR) and aims to combine it with optical data through a multimodal data fusion approach for more effective PWD monitoring. …”
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Gene set enrichment in eQTL data identifies novel annotations and pathway regulators. by Chunlei Wu, David L Delano, Nico Mitro, Stephen V Su, Jeff Janes, Phillip McClurg, Serge Batalov, Genevieve L Welch, Jie Zhang, Anthony P Orth, John R Walker, Richard J Glynne, Michael P Cooke, Joseph S Takahashi, Kazuhiro Shimomura, Akira Kohsaka, Joseph Bass, Enrique Saez, Tim Wiltshire, Andrew I Su

“…We believe that the specific molecular hypotheses generated in this study will reveal many additional pathway members and regulators, and that the analysis approaches described herein will be broadly applicable to other eQTL data sets.…”
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JailbreakTracer: Explainable Detection of Jailbreaking Prompts in LLMs Using Synthetic Data Generation by Md. Faiyaz Abdullah Sayeedi, Maaz Bin Hossain, Md. Kamrul Hassan, Sabrina Afrin, Molla Md. Sabit Hossain, Md. Shohrab Hossain

“…In this study, we propose JailbreakTracer, a novel framework leveraging synthetic data generation and Explainable AI (XAI) to detect and classify jailbreaking prompts. …”
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An explainable federated blockchain framework with privacy-preserving AI optimization for securing healthcare data by Tanisha Bhardwaj, K. Sumangali

“…Abstract With the rapid growth of healthcare data and the need for secure, interpretable, and decentralized machine learning systems, Federated Learning (FL) has emerged as a promising solution. …”
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Enhancing the security of memory in cloud infrastructure through in‐phase change memory data randomisation by Xianzhong Zhou, Ying Wang

“…With the capabilities of in‐memory data randomisation, the proposed SecuRAM avoids the long write latency of PCM cells to erase the content, and achieves higher data initialisation efficiency than conventional software solutions. …”
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Associative Analysis Data Mining Pattern Against Traffic Accidents Using Apriori Algorithm by Ruswati Ruswati, Acep Irham Gufroni, Rianto Rianto

“…The accuracy of the value obtained is calculated manually and uses one of the data mining applications as a comparison of value accuracy, namely Tanagra 1.4.…”
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A Comparative Study of Unsupervised Deep Learning Methods for Anomaly Detection in Flight Data by Sameer Kumar Jasra, Gianluca Valentino, Alan Muscat, Robert Camilleri

“…The paper finds that LSTM, when integrated with a self-attention mechanism, offers notable benefits over other deep learning methods as it effectively handles lengthy time series like those present in flight data, establishes a generalized model applicable across various airports and facilitates the detection of trends across the entire fleet. …”
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Investigating Pedestrian Crossing Patterns at Crossing Locations Based on Trajectory Data Collected by UAV by Ting Fu, Shuke Xie, Rubing Li, Junhua Wang, Lanfang Zhang, Anae Sobhani, Shou’en Fang

“…Therefore, this paper proposed a new and easily applied approach for investigating and understanding the pattern of the pedestrian crossing process at crosswalks based on vision-based trajectory tracking technology and UAV (unmanned aerial vehicle) data. This study uses UAV for collecting video data which is timesaving and has a sufficient coverage area, compared to other methods. …”
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Analyzing large text data for vocabulary profiling in corpus-based studies of academic discourse by Ismail Xodabande, Mahmood Reza Atai, Mohammad R. Hashemi

“…Given the complexity and volume of data typical in academic fields, this protocol integrates advanced corpus compilation techniques with lexical analysis tools to effectively identify and categorize vocabulary suitable for academic use. …”
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A Marginal Maximum Likelihood Approach for Hierarchical Simultaneous Autoregressive Models with Missing Data by Anjana Wijayawardhana, David Gunawan, Thomas Suesse

“…The effectiveness of the proposed methods is demonstrated through simulations and real-world data applications.…”
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ML Based Social Media Data Emotion Analyzer and Sentiment Classifier with Enriched Preprocessor by Jayamalini Kothandan, Ponnavaikko Murugesan

“…In this approach, a huge amount of digital data generated online from blogs and social media websites is gathered and analyzed to discover the insights and help make business decisions. …”
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Trade-Space Exploration With Data Preprocessing and Machine Learning for Satellite Anomalies Reliability Classification by Abdul Mutholib, Nadirah Abdul Rahim, Teddy Surya Gunawan, Mira Kartiwi

“…Future research will focus on real-time anomaly detection, integrating satellite telemetry data, and extending the framework to other space applications. …”
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Data-driven deep learning model for predicting ambient temperature: environment and solar energy by Reza Hassanian, Nashmin Yeganeh, Ásdís Helgadóttir, Runar Unnthorsson, Morris Riedel

“…The superiority of the model lies in its accurate predictions using limited data and reasonable computational resources. Furthermore, the novelty of the proposed model lies in its applicability across different metrological locations. …”
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Integration of Transcriptomic and Single-Cell Data to Uncover Senescence- and Ferroptosis-Associated Biomarkers in Sepsis by Xiangqian Zhang, Yiran Zhou, Hang Li, Mengru Chen, Fang Peng, Ning Li

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Aion: Live Migration for In-Memory Databases with Zero Downtime and Reduced Redundant Data Transfer by Huijie Cao, Chenfeng Huang, Shengchi Liu, Huiqi Hu, Minghao Zhao, Xuan Zhou, Yaofeng Tu, Weining Qian

“…Abstract Distributed in-memory databases are widely adopted to achieve low latency and high bandwidth for data-intensive applications. They support scale-out by sharding and distributing data across multiple nodes. …”
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Enhancing Data Security in Distributed Systems Using Homomorphic Encryption and Secure Computation Techniques by Parihar Bhawana, Kiran Ajmeera, Valaboju Sabitha, Rashid Syed Zahidur, Liyakat Kazi Kutubuddin Sayyad, D R Anita Sofia Liz

“…Traditional solutions tend to use standard techniques like basic data wrapping and cryptographic 'rings'; but, due to the design properties required, they end up as lightweight mechanisms, usually not interpretation-at-all capable because of the need for protecting data during processing - leaving these applications hard to use and maintain long-term, or otherwise, limited to cloud computing and federated learning, when individual data types can be worked on within providers like AWS, Azure, etc, etc; or, even, explaining the results with near total indifference to the underlying big data tools, analytics, or neural architectures. …”
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ClimUAd: Observation‐Based Gridded Daily Climate Data for Ukraine, 1946–2020 by Volodymyr Osadchyi, Oleg Skrynyk, Vladyslav Sidenko, Enric Aguilar, Jose Guijarro, Tamás Szentimrey, Olesya Skrynyk, Zita Bihari, Liudmyla Palamarchuk, Dmytro Oshurok, Igor Kravchenko, Dmytro Pinchuk

“…They can be used for regional climate monitoring and as the reference for a wide variety of climatological applications for the territory of Ukraine. The dataset is freely available for research purposes and can be downloaded from the data repository of the Ukrainian Hydrometeorological Institute.…”
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Learning on Bandwidth Constrained Multi-Source Data With MIMO-Inspired DPP MAP Inference by Xiwen Chen, Huayu Li, Rahul Amin, Abolfazl Razi

“…However, a commonly adopted presumption of all data samples being available at one point hinders its applicability to real-world scenarios where data samples are distributed across distinct sources with intermittent and bandwidth-limited connections. …”
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