Artificial intelligence technologies and applications for language learning and teaching by Son Jeong-Bae, Ružić Natasha Kathleen, Philpott Andrew

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USING SIMULINK PACKAGE FOR TRANSIENT SUPPORT-PARAMETRIC SIMULATION IN GAS PIPELINE SECTION by Nikita V. Kudinov, Rudolf A. Neydorf, Lev А. Zhuravlev, Elena V. Teterevleva

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Overlapping genes connect rheumatoid arthritis and head and neck cancer: coincidence or shared immune pathophysiology? by Ran Wang, Haiyang Li, Haiyang Li, Yifan Yang, Yifan Yang, Meng Lian, Meng Lian

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Enhancing predictive analytics in mandibular third molar extraction using artificial intelligence: A CBCT-Based study by Faezeh Khorshidi, Rasool Esmaeilyfard, Maryam Paknahad

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A real time monitoring system for accurate plant leaves disease detection using deep learning by Kazi Naimur Rahman, Sajal Chandra Banik, Raihan Islam, Arafath Al Fahim

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From Misinformation to Insight: Machine Learning Strategies for Fake News Detection by Despoina Mouratidis, Andreas Kanavos, Katia Kermanidis

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Leveraging Artificial Neural Networks for Real-Time Speech Recognition in Voice-Activated Systems by Kumar V Suresh, B Raveendra Nadh, S Sureshkumar, Suresh Kumar Anisetty, S R Arun Raj, G Sheeba

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Detecting Galactic Rings in the DESI Legacy Imaging Surveys with Semisupervised Deep Learning by Jianzhen Chen, Zhijian Luo, Cheng Cheng, Jun Hou, Shaohua Zhang, Chenggang Shu

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PyChatAI: Enhancing Python Programming Skills—An Empirical Study of a Smart Learning System by Manal Alanazi, Ben Soh, Halima Samra, Alice Li

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Super‐resolution reconstruction algorithm for medical images by fusion of wavelet transform and multi‐scale adaptive feature selection by QiaoSu Wang, Qiaomei Ma

Subjects: “…computer vision…”
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Similarities, Differences, and Limitations of Humans and AI Behavior by Haisha Zhang

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Influence of proteinoids on calcium carbonate polymorphs precipitation in supersaturated solutions by Panagiotis Mougkogiannis, Andrew Adamatzky

“…Proteinoids, or thermal proteins, are amino acid polymers formed at high temperatures by non-biological processes. Pro- teinoids form microspheres in liquids. …”
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Pengukuran Performa Apache Spark dengan Library H2O Menggunakan Benchmark Hibench Berbasis Cloud Computing by Aminudin Aminudin, Eko Budi Cahyono

“…The data is processed using one of the machine learning models namely deep learning by dividing several nodes that have been formed in the cloud computing environment by utilizing the H2O library. …”
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Bootstrapping OTS-Funcimg pre-training model (Botfip): a comprehensive multimodal scientific computing framework and its application in symbolic regression task by Tianhao Chen, Zeyu Li, Pengbo Xu, Haibiao Zheng

“…Abstract In the realm of scientific computing, many problem-solving approaches focus primarily on processes and outcomes. …”
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U-SCAD: An Unsupervised Method of System Call-Driven Anomaly Detection for Containerized Edge Clouds by Jiawei Ye, Ming Yan, Shenglin Wu, Jingxuan Tan, Jie Wu

“…Moreover, our method can effectively reduce the original processing data to 13%, which means that it significantly lowers the cost of computing resources.…”
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Innovative Analog Processing-Based Approach for Power-Efficient Wireless Transceivers by Mir Mahdi Safari, Jafar Pourrostam, Behzad Mozaffari Tazehkand

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Managing Feature Compatibility in Kubernetes: Vendor Comparison and Analysis by Eddy Truyen, Nane Kratzke, Dimitri Van Landuyt, Bert Lagaisse, Wouter Joosen

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An efficient method of modulo adder design for Digital Signal Processing applications by Subodh Kumar Singhal, Sumit Kumar, Sujit Kumar Patel, K. Anjali Rao, Gaurav Saxena

“…Modulo adder is a widely used arithmetic component in many Digital Signal Processing (DSP) applications such as Finite Impulse Response (FIR), Infinite Impulse Response (IIR) filters, digital signal processors, image processing modules, discrete cosine transform, and cryptography. …”
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OSBF: One-Sided Box Filter for Edge-Preserving Image Processing by Yuanhao Gong

“…Thanks to the edge-preserving property and the high computation performance, the proposed one-sided box filter can be deployed in a large range of applications where the edge-preserving and high performance is required, such as real-time video processing, augmented reality and view synthesis.…”
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Advancing spatio-temporal processing through adaptation in spiking neural networks by Maximilian Baronig, Romain Ferrand, Silvester Sabathiel, Robert Legenstein

“…A computationally light augmentation of this neuron model with an adaptation mechanism has recently been shown to exhibit superior performance on spatio-temporal processing tasks. …”
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