A Surrogate Model for Studying Solar Energetic Particle Transport and the Seed Population by Atilim Guneş Baydin, Bala Poduval, Nathan A. Schwadron

“…The mechanism that accelerates the SEPs to the observed energy ranges, their transport in the inner heliosphere, and the influence of suprathermal seed particle spectrum are open questions in heliophysics. Accurate predictions of the occurrences of SEP events well in advance are necessary to mitigate their adverse effects but prediction based on first principle models still remains a challenge. …”
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Bridging IoT devices and machine learning for predicting power consumption: case study universitas Widya Dharma Pontianak by Genrawan Hoendarto, Ahmad Saikhu, Raden Venantius Hari Ginardi

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What is the State of the Art on UX Data Visualization? A Systematic Mapping of the Literature by Lucas Katib do Amaral, Maylon Macedo, Luciana Zaina

“… From a Human-Computer Interaction perspective, data visualizations are visual representations of data that improve users' cognitive capabilities during a task. …”
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Selective agreement, not sycophancy: investigating opinion dynamics in LLM interactions by Erica Cau, Valentina Pansanella, Dino Pedreschi, Giulio Rossetti

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Living with Chronic Pain: A Qualitative Study of the Daily Life of Older People with Chronic Pain in Chile by Iyubanit Rodríguez, Esmeralda Abarca, Valeria Herskovic, Mauricio Campos

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What is the State of the Art on UX Data Visualization? A Systematic Mapping of the Literature by Lucas Katib do Amaral, Maylon Macedo, Luciana Zaina

“… From a Human-Computer Interaction perspective, data visualizations are visual representations of data that improve users' cognitive capabilities during a task. …”
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Popularity Bias in Recommender Systems: The Search for Fairness in the Long Tail by Filippo Carnovalini, Antonio Rodà, Geraint A. Wiggins

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Multiscale Sample Entropy-Based Feature Extraction with Gaussian Mixture Model for Detection and Classification of Blue Whale Vocalization by Oluwaseyi Paul Babalola, Olayinka Olaolu Ogundile, Vipin Balyan

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Multi-component induction logging response simulation and environmental factors analysis in complicated anisotropic formations by Xufei Hu, Pan Zhang, Kun Liu

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Routing Protocols for Vehicular Delay Tolerant Networks: A Survey by Hyunwoo Kang, Syed Hassan Ahmed, Dongkyun Kim, Yun-Su Chung

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Complexity Mechanisms for Interaction to Foster Digital Innovation Processes: A Multiple Case Study by Yomn Elmistikawy, Jennie Gelter

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Practical Context Awareness Information System for Wireless Vehicular Networks Based on a Core Telematics Platform by Tzu-Kai Cheng, Jenq-Shiou Leu, Ing-Xiang Chen, Jean-Lien C. Wu, Zhe-Yi Zhu

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Improving Generalization of Genetic Programming for High-Dimensional Symbolic Regression with Shapley Value Based Feature Selection by Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang

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Adversarial attacks dataset for low light image enhancementMendeley Data by Axel Martinez, Matthieu Olague, Gustavo Olague, Emilio Hernandez, Julio Cesar Lopez-Arredondo

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Minimal and Simplified Analysis of Hierarchical Density-Based Spatial Clustering by Kayumov Abduaziz, Shukurillo Makhammadjonov, Ji Sun Shin

“…This popularity is in part due to its accessibility in well-known open-source libraries, which allow researchers to easily install and use the algorithm for their use cases. …”
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A novel sub-network level ensemble deep neural network with a regularized loss function to improve prediction performance by Jalil Toosifar, Yahya Forghani, Seyyed Abed Hosseini, Nasser Shoeibi

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Inverse link prediction with graph convolutional networks for knowledge-preserving sparsification in cheminformatics by Elnaz Bangian Tabrizi, Mehrdad Jalali, Mahboobeh Houshmand

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A novel oversampling method based on Wasserstein CGAN for imbalanced classification by Hongfang Zhou, Heng Pan, Kangyun Zheng, Zongling Wu, Qingyu Xiang

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Automated analysis of high‐content microscopy data with deep learning by Oren Z Kraus, Ben T Grys, Jimmy Ba, Yolanda Chong, Brendan J Frey, Charles Boone, Brenda J Andrews

“…Abstract Existing computational pipelines for quantitative analysis of high‐content microscopy data rely on traditional machine learning approaches that fail to accurately classify more than a single dataset without substantial tuning and training, requiring extensive analysis. …”
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Acoustic higher-order topological insulator from momentum-space nonsymmorphic symmetries by Jinbing Hu, Tianle Song, Kai Zhou, Xuntao Jiang, Songlin Zhuang, Yi Yang

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