LSN-GTDA: Learning Symmetrical Network via Global Thermal Diffusion Analysis for Pedestrian Trajectory Prediction in Unmanned Aerial Vehicle Scenarios by Ling Mei, Mingyu Fu, Bingjie Wang, Lvxiang Jia, Mingyu Yu, Yu Zhang, Lijun Zhang

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A novel N7-Methylguanine-related gene signature for predicting prognosis in acute myeloid leukemia: bioinformatic analysis and experimental verification by Ranran Zhao, Lulu Yang, Chenchen Liu, Ruoyu Jiang, Qianlei Huang, Qin Wang, Xiaojin Wu

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Integrating Machine Learning and Deep Learning for Predicting Non-Surgical Root Canal Treatment Outcomes Using Two-Dimensional Periapical Radiographs by Catalina Bennasar, Antonio Nadal-Martínez, Sebastiana Arroyo, Yolanda Gonzalez-Cid, Ángel Arturo López-González, Pedro Juan Tárraga

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Deep learning progressive distill for predicting clinical response to conversion therapy from preoperative CT images of advanced gastric cancer patients by Saiyi Han, Tong Zhang, Wenzhuo Deng, Shaoliang Han, Honghao Wu, Beier Jiang, Weidong Xie, Yide Chen, Tao Deng, Xuewen Wen, Nianbo Liu, Jianping Fan

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Enhancing neurological disease diagnostics: fusion of deep transfer learning with optimization algorithm for acute brain stroke prediction using facial images by Fadwa Alrowais, Mohammed Alqahtani, Jahangir Khan, Achraf Ben Miled, Da’ad Albalawneh, Abdulwhab Alkharashi, Samah Al Zanin, Radwa Marzouk

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Comprehensive analysis of m7G-related genes METTL1 and WDR4 for predicting prognosis and oncogenic functions in prostate cancer by Degeng Kong, Juanyi Shi, Cong Lai, Jintao Hu, Yelisudan Mulati, Jiawen Luo, Junjie Wang, Yunfei Xiao, Cheng Liu, Kewei Xu

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Can We Teach Machines to Select Like a Plant Breeder? A Recommender System Approach to Support Early Generation Selection Decisions Based on Breeders’ Preferences by Sebastian Michel, Franziska Löschenberger, Christian Ametz, Herbert Bistrich, Hermann Bürstmayr

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Design and predict the potential of imidazole-based organic dyes in dye-sensitized solar cells using fingerprint machine learning and supported by a web application by Mohamed M. Elsenety

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InVDriver: Intra-instance aware vectorized query-based autonomous driving transformer by Bo Zhang, Heye Huang, Chunyang Liu, Yaqin Zhang, Zhenhua Xu

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Optimized customer churn prediction using tabular generative adversarial network (GAN)-based hybrid sampling method and cost-sensitive learning by I Nyoman Mahayasa Adiputra, Paweena Wanchai, Pei-Chun Lin

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Unveiling etiology and mortality risks in community-acquired pneumonia: A machine learning approach by Alaa Ali, Ahmad R. Alsayed, Nesrin Seder, Yazun Jarrar, Raed H. Altabanjeh, Mamoon Zihlif, Osama Abu Ata, Anas Samara, Malek Zihlif

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Analysis of the relationship between the predicted biological activity and the chemical structure of S-derivatives of 5-(5-bromofuran-2-yl)-4R-1,2,4-triazole-3-thiols by O. A. Bigdan

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The international multi-system OSEs/OSSEs by the UN Ocean Decade Project SynObs and its early results by Yosuke Fujii, Yosuke Fujii, Elisabeth Remy, Magdalena Alonso Balmaseda, Shoichiro Kido, Jennifer Waters, K. Andrew Peterson, Gregory C. Smith, Ichiro Ishikawa, Kamel Chikhar

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Cavity Effects and Prediction in the Vibration of Large-Section Rectangular Coal Roadways Induced by Deep-Hole Bench Blasting in Open-Pit Mines by Anjun Jiang, Honglu Fei, Yu Yan, Runcai Bai, Shijie Bao

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A-XGBoost: a resilient machine learning technique for predicting crimes against women across cultures on low cardinality crime data by Mathew Nicho, Ahmed Hamed, Tarek Gaber, Jamal Hamad Al Arimi

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Enhancing pH prediction accuracy in Al2O3 gated ISFET using XGBoost regressor and stacking ensemble learning by Ashirbad Panda, Rishikesh Datar, Shreyas Deshpande, Gautam Bacher

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Serum IL-6 and PTX3 predict severe outcome from COVID-19 in ambulatory subjects: Impact for future therapeutic decisions. by Josh Poorbaugh, Jonathan T Sims, Lin Zhang, Ching-Yun Chang, Richard E Higgs, Ajay Nirula, Robert J Benschop

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ChestXFusionNet: A Multimodal Deep Learning Framework for Predicting Chest Diseases from X-ray Images and Clinical Data by Shimbre Nivedita, Solanki Ram Kumar

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Skill-Learning-Based Trajectory Planning for Robotic Vertebral Plate Cutting: Personalization Through Surgeon Technique Integration and Neural Network Prediction by Heqiang Tian, Xiang Zhang, Yurui Yin, Hongqiang Ma

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Predicting New York Heart Association (NYHA) heart failure classification from medical student notes following simulated patient encounters by Ishan R. Perera, Taylor Daniels, Janella Looney, Kimberly Gittings, Frederic A. Rawlins

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