Comprehensive Survey of Big Data Mining Approaches in Cloud Systems by Zainab Salih Ageed, Subhi R. M. Zeebaree, Mohammed Mohammed Sadeeq, Shakir Fattah Kak, Hazha Saeed Yahia, Mayyadah R. Mahmood, Ibrahim Mahmood Ibrahim

“… Cloud computing, data mining, and big online data are discussed in this paper as hybridization possibilities. …”
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Comprehensive analysis and identification of energy performance and unsteady two-phase flow patterns based on experiments and comparison between two distinct multiphase flow models by Asad Ali, Jianping Yuan, Qiaorui Si, Shahzad Iqbal, Yuan Shouqi, Yolandani Yolandani, Ibra Fall

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Environmental Sound Recognition Using Time-Frequency Intersection Patterns by Xuan Guo, Yoshiyuki Toyoda, Huankang Li, Jie Huang, Shuxue Ding, Yong Liu

“…The input data is a combination of time-variance pattern of instantaneous powers and frequency-variance pattern with instantaneous spectrum at the power peak, referred to as a time-frequency intersection pattern. …”
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Virtual Load Theory: A General Approach for Mitigating Mutual Coupling in Antenna Arrays by Majid Manteghi

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Optimizing Personalized and Context-Aware Recommendations in Pervasive Computing Environments by A. C. Kaladevi, V. Vinoth Kumar, T. R. Mahesh, Suresh Guluwadi

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A Quantum Algorithm for the Classification of Patterns of Boolean Functions by Theodore Andronikos, Constantinos Bitsakos, Konstantinos Nikas, Georgios I. Goumas, Nectarios Koziris

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NeuroMorse: a temporally structured dataset for neuromorphic computing by Ben Walters, Yeshwanth Bethi, Taylor Kergan, Binh Nguyen, Amirali Amirsoleimani, Jason K Eshraghian, Saeed Afshar, Mostafa Rahimi Azghadi

“…Neuromorphic engineering aims to advance computing by mimicking the brain’s efficient processing, where data is encoded as asynchronous temporal events. …”
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Stable developmental patterns of gene expression without morphogen gradients. by Maciej Majka, Nils B Becker, Pieter Rein Ten Wolde, Marcin Zagorski, Thomas R Sokolowski

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Epidemic Random Network Simulations in a Distributed Computing Environment by J. Villanueva-Oller, L. Acedo, J. A. Moraño, A. Sánchez-Sánchez

“…We discuss a computational system following the paradigm of distributed computing, which will allow us to simulate the epidemic propagation in random networks with large number of nodes up to one million. …”
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Dynamic Threshold-Based Resource Management for Fog Computing Environments by Jui-Pin Yang

“…Moreover, DTRM improves load balancing and resource usage, offering a scalable and adaptive solution for dynamic and bursty request patterns in fog computing environments. These results highlight the potential of DTRM to enhance the overall performance, responsiveness, and efficiency of fog computing, particularly in the context of modern IoT applications.…”
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Control of Linear-Threshold Brain Networks via Reservoir Computing by Michael McCreesh, Jorge Cortes

“…To mimic this setup, this paper examines the use of reservoir computing to control a linear-threshold network brain model to a desired trajectory. …”
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GaitCSF: Multi-Modal Gait Recognition Network Based on Channel Shuffle Regulation and Spatial-Frequency Joint Learning by Siwei Wei, Xiangyuan Xu, Dewen Liu, Chunzhi Wang, Lingyu Yan, Wangyu Wu

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A hybrid attack detection strategy for cybersecurity using moth elephant herding optimisation‐based stacked autoencoder by Abdullah Shawan Alotaibi

Subjects: “…computer crime…”
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Impact of computing platforms on classifier performance in heart disease prediction by Beenish Ayesha Akram, Muhammad Irfan, Amna Zafar, Sidra Khan, Rubina Shaheen

“…Prediction and classification, a supervised learning technique in machine learning, addresses various challenges related to finding useful patterns present in data. This work explores how different computing platforms influence the accuracy of classification results when employing the same models. …”
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In2Se3 Synthesized by the FWF Method for Neuromorphic Computing by Jaeho Shin, Jingon Jang, Chi Hun Choi, Jaegyu Kim, Lucas Eddy, Phelecia Scotland, Lane W. Martin, Yimo Han, James M. Tour

“…Abstract The development of next‐generation in‐memory and neuromorphic computing can be realized with memory transistors based on 2D ferroelectric semiconductors. …”
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Computing ecosystem risk hotspots: A mediterranean case study by Gianpaolo Coro, Laura Pavirani, Anton Ellenbroek

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Improving PSNR and computational efficiency in orthogonal ghost imaging by Kobra Hassanzadeh, Sohrab Ahmadi-Kandjani, Reza Kheradmand, Seyed Amir Mortazavi

“…Abstract In this paper, we present an orthogonal ghost imaging (OGI) method based on two-dimensional discrete cosine transform (2D-DCT) patterns. Unlike traditional methods that are based on random or sinusoidal patterns, our method relies on structured orthogonal patterns to enhance both image quality and reconstruction speed, outperforming random and sinusoidal-based approaches in terms of reconstruction fidelity and computational efficiency. …”
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Wearable Sensors and Computational Intelligence in Alpine Skiing Analysis by Ales Prochazka, Hana Charvatova

“…This paper focuses on motion analysis in alpine skiing using real accelerometric, gyroscopic, positioning, and video data to evaluate ski movement patterns. The proposed methodology employs functional transforms to estimate motion patterns and utilizes artificial intelligence for signal segmentation and feature classification related to lower limb movement. …”
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Computer-aided recognition of polish vowels in continuous speech by Wiktor JASSEM, Danuta GEMBIAK, Andrzej DYCZKOWSKI

“…In the second experiment the patterns were averaged separately for each of 10 persons. …”
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A Review of Hybrid Brain-Computer Interface Systems by Setare Amiri, Reza Fazel-Rezai, Vahid Asadpour

“…Increasing number of research activities and different types of studies in brain-computer interface (BCI) systems show potential in this young research area. …”
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