End-to-End Architecture for Real-Time IoT Analytics and Predictive Maintenance Using Stream Processing and ML Pipelines by Ouiam Khattach, Omar Moussaoui, Mohammed Hassine

“…The rapid proliferation of Internet of Things (IoT) devices across industries has created a need for robust, scalable, and real-time data processing architectures capable of supporting intelligent analytics and predictive maintenance. …”
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Sharing Scheme of Electronic Medical Records for Air-conditioning Products Based on Blockchain Technology by Xu Chang, Chen Huanxin, Li Zhengfei, Han Linzhi, Zhu Bo, Gong Qijian

“…With the rapid development of big data and intelligence, data have played a decisive role in studies on air conditioning, and possession of good data management models appears to be extremely important. …”
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Post-marketing safety surveillance of vortioxetine hydrobromide: a pharmacovigilance study leveraging FAERS database by Ying Zhang, Shengzhu Sun, Yunhong Ning

“…BackgroundVortioxetine hydrobromide is a widely prescribed medication for the treatment of major depressive disorder (MDD), primarily exerting its antidepressant effects by inhibiting the reuptake of serotonin (5-HT).The objective of this study was to investigate adverse events (AEs) associated with vortioxetine hydrobromide through data mining in the FDA Adverse Event Reporting System (FAERS) to enhance clinical safety.MethodsWe collected FAERS data from Q3 2013 to Q1 2024 for data cleansing. …”
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EFSA statement on the requirements for whole genome sequence analysis of microorganisms intentionally used in the food chain by European Food Safety Authority (EFSA)

“…This document provides recommendations to applicants on how to describe and report the results of WGS analyses in the context of an application for market authorisation of a regulated product. …”
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Review of State Estimation Methods for Autonomous Ground Vehicles: Perspectives on Estimation Objects, Vehicle Characteristics, and Key Algorithms by Xiaoyu Wang, Te Chen, Renzhong Wang, Jiankang Lu, Guowei Dou

“…Based on the discussion of the importance, development history, and application fields of this topic of research, it focuses on analyzing vehicle state estimation techniques from different perspectives, namely (1) from the perspective of the estimation objects, including vehicle attitude and driving state estimations, chassis component key dynamic parameter estimations, and vehicle driving environment state estimations; (2) from the perspective of vehicle characteristics, including vehicle dynamics coupling characteristics, vehicle multi-source information redundancy characteristics, and vehicle state transition characteristics; (3) from the perspective of key estimation algorithms, including model-based Kalman filtering algorithms, data-driven machine learning algorithms, and optimization estimation algorithms combining mechanism-based and data-driven approaches. …”
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The Collaborative Wall: A Technological Means to Improving the Teaching-Learning Process about Physics by Ricardo-Adán Salas-Rueda, Gustavo De-La-Cruz-Martínez, Clara Alvarado-Zamorano, Estefanía Prieto-Larios

“…This mixed research aims to analyse students’ perceptions about the use of the collaborative wall in the teaching-learning process for physics, considering data science. The collaborative wall is a web application that allows the participation of the students in the classroom through the dissemination of text and images. …”
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A deep classification model to assess environment following hazards using remote sensing images by Madhusmita Sahu, Rasmita Dash

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Chopped and minibars reinforced high-performance concrete: machine learning prediction of mechanical properties by Nikolai Ivanovich Vatin, Mohammad Hematibahar, Tesfaldet Hadgembes Gebre

“…Each model’s performance and application are examined thoroughly, leading to the identification of useful suggestions, existing knowledge gaps, and areas in need of further study.…”
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A Hardware-Aware Failure-Detection Method for GPU Control-Logic by Hiroaki Itsuji, Takumi Uezono, Tadanobu Toba, Kojiro Ito, Masanori Hashimoto

“…Graphics processing units (GPUs) are used for diverse applications and play a major role even in safety-critical applications. …”
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Advanced Financial Fraud Malware Detection Method in the Android Environment by Jaeho Shin, Daehyun Kim, Kyungho Lee

“…Undersampling was performed to adjust the proportion of benign applications in the training data because the data on benign and malicious apps were unbalanced. …”
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Global trends and hotspots in artificial intelligence for high myopia: a bibliometric analysis by Xuze Wang, Ailixiati Wumaier, Jun Wang, Dejuan Song, Yiting Cai, Jin Han, Wei Han, Zhi Fang

“…PurposeThis study aims to conduct a bibliometric analysis of global publications on the application of artificial intelligence (AI) in high myopia (HM).MethodsWe retrieved publications on AI in HM from the Web of Science Core Collection (WoSCC) database, MEDLINE and Chinese Science Citation Database (CSCD) with data up to 2024. …”
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Algorithmic fandom: how generative AI is reshaping sports marketing, fan engagement, and the integrity of sport by Hans Westerbeek

“…The integration of AI in gambling platforms and the commercialisation of fan data raise significant concerns around privacy, consent, and long-term wellbeing. …”
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Gate Control Mechanisms of Autoencoders for EEG Signal Reconstruction by Kangjing Li, Heba El-Fiqi, Min Wang

“…Such heavily contaminated and lost signal segments are usually removed manually, which can hinder practical system deployment and application performance, especially in scenarios where continuous signals are required. …”
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DualPFL: A Dual Sparse Pruning Method with Efficient Federated Learning for Edge-Based Object Detection by Shijin Song, Sen Du, Yuefeng Song, Yongxin Zhu

“…These findings indicate that DualPFL facilitates secure and efficient collaborative computing in smart city applications.…”
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An Integrated Approach to Stock Selection and Ranking: Combining Shannon Entropy Technique, DEA, and Inverse DEA by Temitope Olubanjo Kehinde, Sai-Ho Chung, Oludolapo A. Olanrewaju

“…This study proposes a novel, integrated framework that combines Shannon Entropy Technique (SET), Data Envelopment Analysis (DEA), and Inverse DEA (IDEA) for the objective evaluation and ranking of equities, with a case application to the tourism sector of the Taiwan Stock Exchange (TWSE). …”
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A robust method for calculating the vertical derivative of potential fields based on Hilbert transforms by Xin’gang Luo, Shengrong Liu, Xiaoping Tang

“…Abstract Calculation of high-order vertical derivatives represents a fundamental challenge in gravity and magnetic data processing, with critical applications in potential field separation, continuation analysis, and geological boundary identification. …”
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Implementation of flexible DEA structure in the management of business processes by Šegrt Slobodan, Tomić Radoljub, Anđelković Maja

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Imbalanced Text Classification on Tourism Reviews using Ada-boost Naïve Bayes by Ika Oktavia Suzanti, Fajrul Ihsan Kamil, Eka Mala Sari Rochman, Huzain Azis, Alfa Faridh Suni, Fika Hastarita Rachman, Firdaus Solihin

“…Initial analysis revealed an imbalance in sentiment data, with most reviews being positive. To address this, sampling techniques—both oversampling and undersampling—were applied to achieve a more balanced data distribution. …”
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Evaluating PurpleAir Sensors: Do They Accurately Reflect Ambient Air Temperature? by Justin Tse, Lu Liang

“…Finally, the practical application of PA temperature data for identifying heat wave events was investigated, including an assessment of associated uncertainties. …”
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Citation Analysis of Undergraduate Projects Report in the Department of Library and Information Science Kabale University Uganda: An In-Text Citation Study by Iroroeavwo Edwin, Achugbue, Benjamin, Ahimbisibwe, Olivia Nina, Rugambwa, Patrick, Odong

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