A MaxEnt-TRIGRS hybrid model with dynamic safety factor mapping for enhanced debris flow susceptibility assessment in rainfall-triggered terrains by Xinlong Xu, Yue Qiang, Li Li, Siyu Liang, Tao Chen, Wenjun Yang, Xinyi Tan, Xi Wang, He Yang

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Data-Supported Prediction of Surface Settlement Behavior on Opencast Mine Dumps Using Satellite-Based Radar Interferometry Observations by Jörg Benndorf, Natalie Merkel, Andre John

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Report on Correlation between Radon Outgassing and Aftershocks Activity along the Bam Fault in Kerman Province of Iran by Abdollah Khorshidi, Jamshid Soltani Nabipour

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A Machine Learning-Based Intelligent Framework for Predicting Energy Efficiency in Next-Generation Residential Buildings by Hafiz Muhammad Shakeel, Shamaila Iram, Richard Hill, Hafiz Muhammad Athar Farid, Akbar Sheikh-Akbari, Farrukh Saleem

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Trend of thyroid cancer incidence in China, 1992-2021: a Joinpoint regression and age-period-cohort analysis by XIONG Dan, SU Xiaojun, FANG Yanmei

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Comparative Analysis of Random Forest and Logistic Regression Methods in Predicting Leukemia Blood Cancer Using Microscopic Blood Cell Images by Jepri Banjarnahor, Galuh Wira Relungwangi

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Low Power Broadband sub-GHz CMOS LNA with 1 GHz Bandwidth for IoT Applications by Farshad Shirani Bidabadi, Sayed Vahid Mir-Moghtadaei

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Digital Twin-Driven Virtual–Real Hybrid Framework Based on Parameter Identification for Bearing Thermal Prediction by Yu Wang, Qingbin Tong, Luqiang Yang, Junci Cao, Jiang Cao

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Prediction of Sow Farrowing Onset Time Using Activity Time Series Extracted by Optical Flow Estimation by Kejian Liu, Yigui Huang, Junbin Liu, Zujie Tan, Deqin Xiao

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Morphometric and thermo-physiological diversity in two chicken genotypes kept by rural farmers under tropical conditions by Elijah Akumbugu Faith, Danlami Moses Ogah, Abdulmojeed Yakubu, Oladeji Bamidele

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An Assessment of the Bearing Capacity of High-Strength-Concrete-Filled Steel Tubular Columns Through Finite Element Analysis by Leonardo André Rossato, Alexandre Rossi, Carlos Humberto Martins, Gustavo de Miranda Saleme Gidrão, Laura Silvestro, Rúbia Mara Bosse

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An ensemble machine learning framework with explainable artificial intelligence for predicting haemoglobin anaemia considering haematological markers by Dhruva Darshan B S, Punit Sharma, Krishnaraj Chadaga, Niranjana Sampathila, G. Muralidhar Bairy, Sushma Belurkar, Srikanth Prabhu, Swathi K S

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Adaptive biases-incorporated latent factorization of tensors for predicting missing data in water quality monitoring networks by Xuke Wu, Xuke Wu, Lan Wang, Lan Wang, Miao Ge, Miao Ge, Jing Jiang, Jing Jiang, Yu Cai, Bing Yang, Bing Yang

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Cross-Scene Multi-Object Tracking for Drones: Leveraging Meta-Learning and Onboard Parameters with the New MIDDTD by Chenghang Wang, Xiaochun Shen, Zhaoxiang Zhang, Chengyang Tao, Yuelei Xu

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Spatio-Temporal Transformer Networks for Inland Ship Trajectory Prediction with Practical Deficient Automatic Identification System Data by Youan Xiao, Xin Luo, Tengfei Wang, Zijian Zhang

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The global burden of lead exposure-related ischemic stroke: based on Bayesian age-period-cohort analysis by Xiaofang Chen, Lihua Zhao, Xiaxia Wu, Dan Chen, Mingya Yao

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Body size prediction in scorpions: a phylogenetic comparative examination of linear measurements of individual body parts by Stênio Í. A. Foerster

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Detection and Prediction of Wind and Solar Photovoltaic Power Ramp Events Based on Data-Driven Methods: A Critical Review by Jie Zhang, Xinchun Zhu, Yigong Xie, Guo Chen, Shuangquan Liu

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Combining Charlson comorbidity and VACS indices improves prognostic accuracy for all-cause mortality for patients with and without HIV in the Veterans Health Administration by Kathleen A. McGinnis, Amy C. Justice, Amy C. Justice, Vincent C. Marconi, Vincent C. Marconi, Maria C. Rodriguez-Barradas, Maria C. Rodriguez-Barradas, Ronald G. Hauser, Ronald G. Hauser, Krisann K. Oursler, Krisann K. Oursler, Sheldon T. Brown, Kendall J. Bryant, Janet P. Tate, Janet P. Tate, for the Veterans Aging Cohort Study

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The predictive role of identifying frailty in assessing the need for palliative care in the elderly: the application of machine learning algorithm by Zahra Nejatifar, Ahad Alizadeh, Mohammad Amerzadeh, Shideh Omidian, Sima Rafiei

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