PyBrook—A Python framework for processing and visualising real-time data by Michał Rokita, Mateusz Modrzejewski, Przemysław Rokita

“…The framework also provides a generic web interface that presents the collected data in real time. PyBrook aims to make the development of real-time data processing services as easy as possible by utilising powerful mechanisms of the Python programming language and modern concepts like hot-reloading or deploying software in Linux Containers. …”
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Regulating neural data processing in the age of BCIs: Ethical concerns and legal approaches by Hong Yang, Li Jiang

“…This article notes that most of the current data laws like GDPR have not covered neural data clearly, incapable of providing full protection in response to its specialty. …”
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Journalists are most likely to receive abuse: analysing online abuse of UK public figures across sport, politics, and journalism on Twitter by Liam Burke-Moore, Angus R. Williams, Jonathan Bright

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Spatial Aspects of Demographic Processes in Serbia by Nikola Krunić, Aleksandra Gajić, Danijela Srnić, Dragutin Tošić

“… Changes in the trends, distribution and structures of the population identified through censuses (such as the changes in total population, gender, educational, age and other structures) are crucial for understanding spatial phenomena and processes like urbanization. Numerous urban geography studies researching the development of systems of settlements in former Yugoslavia, which carried on in Serbia, were the foundation for a singular theoretical and methodological framework for researching spatial phenomena and processes focused precisely on the understanding of dynamic changes in the structures of the population and their territorial manifestation. …”
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Retrieving crop phenology at field-scale in the Nile Delta based on Sen2Like and PlanetScope data by Katarzyna Cyran, Belen Franch, Eatidal Amin, Santiago Belda, Francesco Fava, James Wheeler, Italo Moletto-Lobos, Ahmed El Baroudy, Inbal Becker-Reshef, Zoltan Szantoi

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A data control framework for SAF-T reporting: A process-based approach by Jerzy Auksztol, Magdalena Chomuszko

“…It is used as a framework for combining key management concepts, like due diligence and quality management, which are typically applied separately. …”
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Big data processing using hybrid Gaussian mixture model with salp swarm algorithm by R. Saravanakumar, T. TamilSelvi, Digvijay Pandey, Binay Kumar Pandey, Darshan A. Mahajan, Mesfin Esayas Lelisho

“…The outcomes have been compared with well-known methods like fuzzy C-means and K-means approaches, and the results show that the proposed method effectively distributes accurate data processing to cluster nodes with low latency. …”
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In-Fiber Subpicosecond Pulse Shaping for Nonlinear Optical Telecommunication Data Processing at 640 Gbit/s by J. Azaña, L. K. Oxenløwe, E. Palushani, R. Slavík, M. Galili, H. C. H. Mulvad, H. Hu, Y. Park, A. T. Clausen, P. Jeppesen

“…The use of flat-top pulses has critical benefits in the demultiplexing process, including a significantly increased timing-jitter tolerance (up to ~500 fs, i.e., 30% of the bit period) and the associated improvement in the bit-error-rate performance (e.g., with a sensitivity increase of up to ~13 dB as compared with the use of Gaussian-like gating pulses). …”
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A novel Data Extraction Framework Using Natural Language Processing (DEFNLP) techniques by Tayyaba Hussain, Muhammad Usman Akram, Anum Abdul Salam

“…In this research, we demonstrate a general Data Extraction Framework Using Natural Language Processing (DEFNLP) Techniques which challenge data scientists to show how publicly funded data has been used to serve science and society. …”
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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

“…Conversely, while scalable SPEs do exist, they lack the necessary data structures, operators, and indices essential for processing trajectory streams. …”
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Introducing CounseLLMe: A dataset of simulated mental health dialogues for comparing LLMs like Haiku, LLaMAntino and ChatGPT against humans by Edoardo Sebastiano De Duro, Riccardo Improta, Massimo Stella

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Trajectory inference from single-cell genomics data with a process time model. by Meichen Fang, Gennady Gorin, Lior Pachter

“…By using a variety of datasets ranging from cluster-like to continuous, we show that Chronocell enables us to assess the suitability of datasets and reveals distinct cellular distributions along process time that are consistent with biological process times. …”
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The pipelines of deep learning-based plant image processing by Kaiyue Hong, Yun Zhou, Han Han

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Multi‐Disease Detection in Retinal Imaging Using VNet with Image Processing Methods for Data Generation by Samad Azimi Abriz, Mansoor Fateh, Fatemeh Jafarinejad, Vahid Abolghasemi

“…Deep learning faces challenges like limited data, vanishing gradients, high parameter counts, and long training times. …”
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Exploring the Use of AI in Qualitative Data Analysis: Comparing Manual Processing with Avidnote for Theme Generation by S. M. Akramul Kabir, Fareeha Ali, Rana Lotfy Ahmed, Ruqayya Sulaiman-Hill

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DAugSindhi: a data augmentation approach for enhancing Sindhi language text classification by Raja Vavekanand, Bhagwan Das, Teerath Kumar

“…This paper presents DAugSindhi, a study focused on enhancing Sindhi text classification through data augmentation techniques. These methods aim to address data scarcity by artificially expanding the dataset to improve model performance. …”
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Kinetics of Hydrolyzing Isolated Soy Protein by an Endopeptidase and its Conceptual Application in Process Engineering by Zebin Wang, Jason Lombardi, Jessica Shaffer, Ted Wong

“…A response study and the effects of different parameters (pH, temperature and enzyme dose) on kinetics of isolated soy protein hydrolysis by a trypsin-like endopeptidase (TL1) were conducted. Degree of hydrolysis (%DH) data varied at different times under different hydrolysis conditions. …”
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Near-field localization algorithm of multiple sound sources based on approximated kernel density estimator by Yu-zhuo FANG, Zhi-yong XU, Zhao ZHAO

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Analysis of <i>G</i>-Transformation Modes for Building Neuro-like Parallel–Hierarchical Network Identification of Rail Surface Defects by Vaidas Lukoševičius, Volodymyr Tverdomed, Leonid Tymchenko, Natalia Kokriatska, Yurii Didenko, Mariia Demchenko, Olena Oliynyk

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ChatgaiyyaAlap: A dataset for conversion from Chittagonian dialect to standard BanglaMendeley Data by Sinthia Chowdhury, Deawan Rakin Ahamed Remal, Syed Tangim Pasha, Ashraful Islam, Sheak Rashed Haider Noori

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