Dual-Mode Visual System for Brain–Computer Interfaces: Integrating SSVEP and P300 Responses by Ekgari Kasawala, Surej Mouli

“…In brain–computer interface (BCI) systems, steady-state visual-evoked potentials (SSVEP) and P300 responses have achieved widespread implementation owing to their superior information transfer rates (ITR) and minimal training requirements. …”
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Real-time analysis of Delphi panel data to facilitate iterative rating within meetings by Julien B. Weinstein, Cainnear K. Hogan, Taylor Whittington, Jennifer Cano, Sarah M. Seelye, Jeremy B. Sussman, Steven J. Bernstein, Hallie C. Prescott

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Comparing AI and human decision-making mechanisms in daily collaborative experiments by Linghao Wang, Zheyuan Jiang, Chenke Hu, Jun Zhao, Zheng Zhu, Xiqun Chen, Ziyi Wang, Tianming Liu, Guibing He, Yafeng Yin, Der-Horng Lee

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Principles and metrics of extreme learning machines using a highly nonlinear fiber by Hary Mathilde, Brunner Daniel, Leybov Lev, Ryczkowski Piotr, Dudley John M., Genty Goëry

“…These are highly relevant findings for the dimensioning of future, ultrafast optical computing systems that can capture and process sequential input information on femtosecond timescales.…”
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Method of Monitoring Correctness of Execution of Processes in Operating Systems by Control of Dimensional Systems of Variables by Vladimir Abramov, Danila Puchkin

“…This method allows you to detect disruptions of the calculations performing by the process after execution of an incorrect computational command. …”
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Nonlocal flat optics for size-selective image processing and denoising by Sandeep Kumar Chamoli, Chunqi Jin, Yandong Fan, Mehdi Kiani, Heedong Goh, Chen Huang, Shuyu Guo, Yuntong Wang, Fei Zhu, Guohua Xing, Bo Li, Tian Bai, Andrea Alù, Wei Li

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Extended Inductive Miner to Discover Semantic Annotated Process Model: A Variability-Based Approach by Aicha Khannat, Hanae Sbai, Laila Kjiri

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Computing with electromagnetic fields rather than binary digits: a route towards artificial general intelligence and conscious AI by Johnjoe McFadden

“…According to the theory, non-conscious brain processing occurs solely within the EM field-insensitive digital neuronal network, enabling fast, parallel computations, but cannot form complex, integrated concepts, so it is limited to specialised functions necessary for tasks like motor coordination. …”
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Interactive Visualization Platform Based on MapReduce by Jialiang Wang, Bo Qin, Jianjian Liu, Ni Liu

“…For dealing with the problem of ocean data's interactive visualization, this paper proposes an interactive visualization platform architecture based on cloud computing. It inserts GPU, MPI parallel computing into MapReduce mechanism of Hadoop to realize the parallel processing of large-scale ocean environment data sets, such as data retrieval, data extraction, data interpolation, analysis of characteristics' visualization, so that the massive data's visualization can be processed in the remote interactive way. …”
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Interactive Visualization Platform Based on MapReduce by Jialiang Wang, Bo Qin, Jianjian Liu, Ni Liu

“…For dealing with the problem of ocean data's interactive visualization, this paper proposes an interactive visualization platform architecture based on cloud computing. It inserts GPU, MPI parallel computing into MapReduce mechanism of Hadoop to realize the parallel processing of large-scale ocean environment data sets, such as data retrieval, data extraction, data interpolation, analysis of characteristics' visualization, so that the massive data's visualization can be processed in the remote interactive way. …”
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Image Preprocessing Framework for Time-domain Astronomy in the Artificial Intelligence Era by Liang Cao, Peng Jia, Jiaxin Li, Yu Song, Chengkun Hou, Yushan Li

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SmartCardio: Advancing cardiac risk prediction through Internet of Things and edge cloud intelligence by S. Durga, Esther Daniel, J. Andrew, Radhakrishna Bhat

“…It consists of two main phases: data acquisition, where sensors measure heart rate, temperature, and blood pressure, and data processing, where the edge cloud processes the data using Haar Wavelet transform, Convolutional Neural Network (CNN), and transfer learning. …”
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Enhanced Image Processing and Fuzzy Logic Approach for Optimizing Driver Drowsiness Detection by Wasin AlKishri, Abdallah Abualkishik, Mahmood Al-Bahri

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Parallel Agent-Based Framework for Analyzing Urban Agricultural Supply Chains by Manuel Ignacio Manríquez, Veronica Gil-Costa, Mauricio Marin

“…To efficiently handle the computational demands of large-scale scenarios, we adopt an optimistic approximate parallel execution strategy. …”
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Automatic understanding of acoustic speech signal pathology by Wiesław WSZOŁEK

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YOLO-Tryppa: A Novel YOLO-Based Approach for Rapid and Accurate Detection of Small Trypanosoma Parasites by Davide Antonio Mura, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto

Subjects: “…computer vision…”
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Employing large language models for emotion detection in psychotherapy transcripts by Christopher Lalk, Kim Targan, Tobias Steinbrenner, Jana Schaffrath, Steffen Eberhardt, Brian Schwartz, Antonia Vehlen, Wolfgang Lutz, Julian Rubel

Subjects: “…natural language processing…”
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Enhancing Visual Question Answering for Multiple Choice Questions by Rashi Goel, Harsh Nandwani, Eshaan Shah, Ashalatha Nayak, Archana Praveen Kumar

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Advancing In Vivo Molecular Bioimaging With Optimal Frequency Offset Selection and Deep Learning Reconstruction for CEST MRI by Adarsha Bhattarai, Chathumi Samaraweera, Mariano Uberti, Aditya N. Bade, Yutong Liu, Dongming Peng

Subjects: “…Biomedical signal processing…”
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A study on neutrosophic $$\mathscr {T}_{\textrm{1k}}$$ -semantic segmentation for iris image recognition with Gaussian and Poisson noises by Vinoth Dhatchinamoorthy, Ezhilmaran Devarasan, Asima Razzaque, Saima Noor

Subjects: “…Neutrosophic computer vision…”
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