Streaming Database System for Deaf People by Ammar Thaher Yaseen Taha Al Abd Alazeez

“…Models are client connection control systems or web and website online systems that replace like clockwork/seconds. Recently, programmers had composed dense codes to make database alter with converting or streaming records. …”
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“Your subtitles will look like this”: Exploring user preferences for closed captions across streaming platforms by Gabriele Uzzo

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Big data analytics and AI as success factors for online video streaming platforms by Muhammad Arshad, Muhammad Arshad, Choo Wou Onn, Ashfaq Ahmad, Goabaone Mogwe, Goabaone Mogwe

“…This paper seeks to examine how Big Data Analytics makes it possible to obtain large amounts of data about users and how they view, what they like, or how they behave. …”
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A Distributed and Scalable Framework for Low-Latency Continuous Trajectory Stream Processing by Salman Ahmed Shaikh, Hiroyuki Kitagawa, Akiyoshi Matono, Kyoung-Sook Kim

“…In recent times, the widespread adoption of GPS-enabled devices has resulted in an exponential surge in the amount of spatio-temporal data streams. These data streams, often referred to as trajectory data streams, represent a sequence of spatial locations of mobile objects. …”
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Forecasting influenza epidemics from multi-stream surveillance data in a subtropical city of China. by Pei-Hua Cao, Xin Wang, Shi-Song Fang, Xiao-Wen Cheng, King-Pan Chan, Xi-Ling Wang, Xing Lu, Chun-Li Wu, Xiu-Juan Tang, Ren-Li Zhang, Han-Wu Ma, Jin-Quan Cheng, Chit-Ming Wong, Lin Yang

“…The forecasting models that combined multi-stream ILI surveillance data generally outperformed the models with single-stream ILI data, by providing more timely, sensitive and specific alerts.…”
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Novel metrics and LSH algorithms for unsupervised, real-time anomaly detection in multi-aspect data streams by Samira Khodabandehlou, Alireza Hashemi Golpayegani

“…Fraud detection in e-markets is increasingly challenging due to the scale and complexity of multi-aspect data streams. This study introduces SATrade, an unsupervised and scalable approach for real-time anomaly detection in big multi-aspect data streams. …”
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“Watching video is maybe just like a hobby”: A case study of video streaming for informal, self-directed foreign language learning by Gilbert Dizon

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m-QAM Receiver Based on Data Stream Spectral Clustering for Optical Channels Dominated by Nonlinear Phase Noise by Miguel Solarte-Sanchez, David Marquez-Viloria, Andrés E. Castro-Ospina, Erick Reyes-Vera, Neil Guerrero-Gonzalez, Juan Botero-Valencia

“…Optical communication systems face challenges like nonlinear noises, particularly Kerr-induced phase noise, which worsens with higher-order m-QAM formats due to their dense data-symbol sets. …”
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A Novel Classification of Uncertain Stream Data using Ant Colony Optimization Based on Radial Basis Function by Tahsin Ali Mohammed Amin, Sabah Robitan Mahmood, Rebar Dara Mohammed, Pshtiwan Jabar Karim

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Contrasts in hydrology between regions of basal deformation and sliding beneath Rutford Ice Stream, West Antarctica, mapped using radar and seismic data by T. Murray, H. Corr, A. Forieri, A. M. Smith

“…Spatially coincident radar and seismic data collected two weeks apart on Rutford Ice Stream were analyzed to investigate the mechanical and hydrological characteristics of the ice‐bed interface. …”
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Real-Time Driving State Identification and Collision Risk Detection in Dump Trucks: A GPS Streaming Data Approach by C. Xie, Y. Zheng, Y. Zhao, L. Zhang, L. Zhao, W. Wang, X. Li

“…Currently, most vehicle analysis algorithms based on GPS data are designed for static datasets, with fewer algorithms addressing dynamic streaming GPS data. …”
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Intra-annual and ecoregional differences in physico-chemical data between blackwater and non-blackwater streams in the coastal plains of South Carolina by Karen Blocksom, Joseph Flotemersch, Hannah Ferriby, Bryan Rabon, David Chestnut

“…Using these data, we compared seasonal patterns in water chemistry parameters between blackwater and non-blackwater streams. …”
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Peaky Finders: Characterizing Double-peaked Type IIb Supernovae in Large-scale Live-stream Photometric Surveys by Adrian Crawford, Tyler A. Pritchard, Maryam Modjaz, Craig Pellegrino, Sahana Kumar, Raphael Baer-Way

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Grey Model for Stream Flow Prediction by Vishnu B, Syamala P

“…Generally relatively long period data series of stream flow records is required for the prediction using stochastic methods. …”
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From Ongoing Streams of Evidence to Final Synthesis by Juha Uitto

“…Research Design: Not applicable. Data Collection and Analysis: Not applicable. …”
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AEMS: Adaptive Ensemble GNNs for Multibehavior Stream Recommendation by Ritchie Natuan Caibigan, Punyaphol Horata, Pusadee Seresangtakul

“…This design effectively fuses multifaceted behaviors and addresses the challenges of data sparsity and heterogeneity. This architecture is further enhanced by a behavior-aware training paradigm that dynamically weights heterogeneous interactions, such as clicks, add-to-cart actions, likes, and other behavioral signals, to increase its recommendation precision. …”
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On the road to the metaverse: Point cloud video streaming: Perspectives and enablers by Patrick Enenche, Dong Ho Kim, Dongho You

“…Point cloud video streaming enables detailed 3D representations for applications like 3D scanning, AR, and VR. …”
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Evidences of Permafrost Signatures in the Planform Shape of Arctic Meandering Streams by Niccolò Ragno, Riccardo Bonanomi, Marta Crivellaro, Marco Tubino

“…By exploiting satellite imagery, a data set of 19 freely‐meandering Arctic rivers is compared against an independent data set of 23 freely‐meandering streams flowing through temperate and tropical regions. …”
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Stellar Population Properties in the Stellar Streams around SPRC047 by Seppo Laine, David Martínez-Delgado, Kristi A. Webb, Mohammad Akhlaghi, Roberto Baena-Gallé, Sanjaya Paudel, Michael Stein, Denis Erkal

“…We used visual images in six different bands and Spitzer/IRAC 3.6 μ m data. We have attempted to derive best-fit stellar population parameters (metallicity, age) in three noncontiguous segments of the stream. …”
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Mapping Bus and Stream Travel Time Using Machine Learning Approaches by Gopikrishnan Nair, B. Anil Kumar, Lelitha Vanajaskshi

“…Preliminary analysis showed that a nonlinear relationship exists between the travel times, and other factors like peak/off-peak hours, day of the week, etc. Results show that the proposed methods can efficiently map bus travel times with stream travel times with an average MAPE of 20% and perform better than existing approaches such as linear regression and artificial neural networks.…”
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