Forecast Global Ionospheric TEC: Apply Modified U‐Net on VISTA TEC Data Set by Zihan Wang, Shasha Zou, Hu Sun, Yang Chen

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Improving Model Performance for Predicting Exfiltration Attacks Through Resampling Strategies by Arif Rahman Hakim, Kalamullah Ramli, Muhammad Salman, Esti Rahmawati Agustina

Subjects: “…machine learning…”
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Using Convolutional Neural Networks for segmentation of brain tumors by Kauã Gabriel Silva de Lima, Vagner Alves Ferreira da Silva, João Victor Oliveira da Silva, Lucas Patrick Ramos de Oliveira, Diogo Lopes da Silva

Subjects: “…Machine Learning…”
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An Approach to Predicting Energy Demand Within Automobile Production Using the Temporal Fusion Transformer Model by Andreas Lenk, Marcus Vogt, Christoph Herrmann

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Seismic Prediction of Porosity in the Norne Field: Utilizing Support Vector Regression and Empirical Models Driven by Bayesian Linearized Inversion by Jorge A. Teruya Monroe, Jose J. S. de Figueiredo, Carlos E. S. Amanajas

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Zero-shot Learning for Subdiscrimination in Pre-trained Models by Francisco Dominguez-Mateos, Vincent O’Brien, James Garland, Ryan Furlong, Daniel Palacios-Alonso

Subjects: “…Machine learning…”
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Applications of Artificial Intelligence for Precision Agriculture by Yiannis Ampatzidis

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Improving Image Spam Detection Using a New Image Texture Features Selection by Azam Shekari Shahrak, Seyed javad Mirabedini, Nasser Mikaeilvand, Seyed Hamid Haj Seyed Javadi

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Analysis and Identification of Factors Influencing the Survival of Burn Injury Patients with an Artificial Intelligence Approach by Sara Hashemi, Shahla Faramarzi, Laya Rahmani Pirouz, Azita Yazdani

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A dataset of blood slide images for AI-based diagnosis of malariaDataverse by Rose Nakasi, Joyce Nakatumba Nabende, Jeremy Francis Tusubira, Aloyzius Lubowa Bamundaga, Alfred Andama

Subjects: “…Machine learning…”
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Comparative Analysis of Hybrid Model Performance Using Stacking and Blending Techniques for Student Drop Out Prediction In MOOC by Muhammad Ricky Perdana Putra, Ema Utami

Subjects: “…machine learning…”
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Risk of autism spectrum disorder at 18 months of age is associated with prenatal level of polychlorinated biphenyls exposure in a Japanese birth cohort by Hirokazu Doi, Akira Furui, Rena Ueda, Koji Shimatani, Midori Yamamoto, Akifumi Eguchi, Naoya Sagara, Kenichi Sakurai, Chisato Mori, Toshio Tsuji

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Influences of Solar Wind Parameters on Energetic Electron Fluxes at Geosynchronous Orbit Revealed by the Deep SHAP Method by Jianhang Wang, Zheng Xiang, Binbin Ni, Deyu Guo, Yangxizi Liu, Junhu Dong, Jingle Hu, Haozhi Guo

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Unveiling shadows: A data-driven insight on depression among Bangladeshi university students by Sanjib Kumar Sen, Md. Shifatul Ahsan Apurba, Anika Priodorshinee Mrittika, Md. Tawhid Anwar, A.B.M. Alim Al Islam, Jannatun Noor

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Deep-Learning-Driven Insights into Nitrogen Leaching for Sustainable Land Use and Agricultural Practices by Caixia Hu, Jie Li, Yaxu Pang, Lan Luo, Fang Liu, Wenhao Wu, Yan Xu, Houyu Li, Bingcang Tan, Guilong Zhang

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Regressions on quantum neural networks at maximal expressivity by Iván Panadero, Yue Ban, Hilario Espinós, Ricardo Puebla, Jorge Casanova, Erik Torrontegui

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Development and validation of a deep learning system for detection of small bowel pathologies in capsule endoscopy: a pilot study in a Singapore institution by Bochao Jiang, Michael Dorosan, Justin Wen Hao Leong, Marcus Eng Hock Ong, Sean Shao Wei Lam, Tiing Leong Ang

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Survey on anomaly detection technology based on logs by Yingjun ZHANG, Ushangqi LI, Mu YANG, Haixia ZHANG, Kezhen HUANG

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Exploring the evolution of scientific publication on portfolio optimization in the light of artificial intelligence: A bibliometric study by Mostafa Shabani, Rouzbeh Ghousi, Emran Mohammadi

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Incorporating causal notions to forecasting time series: a case study by Werner Kristjanpoller, Kevin Michell, Cristian Llanos, Marcel C. Minutolo

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